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[Music]

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welcome back from the lunch break

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our next speaker is lindsay jackson she

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will be speaking on integration data

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sharing open source and the ag tech

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startup ecosystem

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lindsay is a technology entrepreneur

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with specialty skills in governance

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strategy and regional development

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after her talk lindsay will endeavour to

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allow time to respond to all of your

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questions

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and failing

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time she will be present in the post

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talk chat

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over to lindsay

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excellent thank you so much for having

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me it's such a pity that we're not in

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person and i have no idea who's in the

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room um i have covered so it's very

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lucky that i'm not in the room um i'm

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one of the statistics of the global

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pandemic um something kind of ironic

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about that though um just as i talked to

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you about ag tech and the stuff that

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i've been doing over the past couple of

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years

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and some of the opportunities that um

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that i see for the regions but also that

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have dramatically escalated for the

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regions thanks to covert

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and so

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um the the effects of that for anyone

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that doesn't live in the regions or

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hasn't had a lot to do in the regions is

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that what covett has done is

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dramatically shifted the way that people

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work together uh and engage online

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across all sorts of organizations so we

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know that because we've seen our own

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businesses do that and and other

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organizations

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but it's really happened rapidly within

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regional

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australia

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one of the benefits for it is it's made

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regions more accessible than they ever

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have been

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and it's also meant that people at

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different levels of government industry

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business are really listening and

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talking to regions as well

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so it is a really exciting time for ag

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tech i'm going to talk about the the the

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lay of the ag tech land um and then i'm

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going to get into some specifics about

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the um about the uh

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the app that i have um and some of the

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collaboration that we've had to do to

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start to bring all of the different

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components of the agtech ecosystem

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together

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um so i'm the co-founder and cto of

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platform although we're just going

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through a process at the moment where i

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take over as the ceo of platform

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which is really exciting because that

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allows me to um to take the technology

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that we've built so far um to adjust the

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strategy and to broaden the approach

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that platform is so from something

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that's been developed for the

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viticulture sector to something that's

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broader uh and then to go forth for a

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raise which is always an exciting part

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of the startup journey for anyone else

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that's that's in startups as well

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so it should be fun

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all right let me get my talk clicking

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so why am i talking to you today i want

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to convert you to ag tech ag tech needs

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new developers more developers great

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developers uh we also need to be

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training up the next generation and we

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need to be imparting digital skills on

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people that do not have digital skills

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that need them

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people like agronomists and

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other other different jobs and

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opportunities for the regions

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um and just to advocate for the

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innovation that's happening and because

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the open source community and the

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learnings and the collaboration that

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informs open source is really what's

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needed in ag tech and it also fits

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really nicely with the way that regions

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and regional people work anyway um so

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when i fell into technology 15 years ago

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it's been in open source and my

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background before going into tech was

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around um

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small town renewal economic development

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in rural communities how we keep and

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attract young people to to communities

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uh all of that uh really you know how we

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how we build bonds and opportunities in

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communities and so when i fell into open

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source it was such a great example of um

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of community openness and transparency

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information sharing and importantly

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communication as well

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so the things that you're already doing

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because you're part of this community

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are things that um

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that can that can benefit the regions

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but there are elements that they do as

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well

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and ag tech's important because we need

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to feed people in a changing world

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climate um and i won't talk a lot about

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uh climate change tech but it's

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interrelated with with ag tech

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and and so worth uh worth having worth

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thinking about those connections

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um

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2020 february 2020 i got platform into a

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thrive svg vent ventures uh ag tech

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accelerator so a global accelerator

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program um one of the outcomes from that

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was supposed to be going to salinas near

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silicon valley in the middle of 2020 for

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a big forbes ag tech demonstration day

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um of course the global pandemic hit and

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that changed the the world um but i was

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still fortunate enough to be a part of

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that accelerator program

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so yeah really interesting to be working

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with like global ag tech leaders people

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that are ahead of uh people that are

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that have big roles in cyro and some of

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these other uh organizations as they are

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also terrified about the the global

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pandemic and what we've all had with

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um

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just for people in the chat yeah drop

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sorry about that uh just for people in

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the chat love if you could tell me when

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you hear the word term ag tech what is

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it that you think about um because i'm

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gonna take you through some of my

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favorite ag tech companies in australia

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right now and you're going to see that

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it is actually incredibly broad

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one of my favorites is swarm farm um so

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this is a farm out in emerald huge broad

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acre cropping like they have machines

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that push machines to

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to get their machinery bigger and bigger

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to harvest big swathes of land but the

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impact on that land and the compaction

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on the soil um was really causing damage

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and bigger machines were not going to be

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able to we're not going to improve

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anything to do with the the soil quality

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um so where they've gone is small bots

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so these are actually lots of little

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bots that um that can be deployed but

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then they can also be their

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configuration can be changed you can

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take different components of them you

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can turn them into sprayers or you can

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turn them into little harvesters or

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whatever it is you can go through

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vineyards you can go on crops um so

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these are one of the best companies in

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the world that is actually creating bots

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for a commercial market

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a lot of stuff that's still happening in

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ag tech is conceptual and it's not

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necessarily ready for scale

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um but this company in emerald so these

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are their open positions at the moment

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they're looking for senior software

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developers mechatronics engineers

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computer vision engineers

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growing up in regional south australia

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these were not the sort of jobs that i

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was told or that we were told were

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available to us

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you could be a doctor you could be a

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nurse you could be a teacher you

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certainly could not be a computer vision

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engineer and live in the regions

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so just incredibly exciting stuff

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incredibly exciting transformation

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um it's also around food and food

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proteins

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so the the next stage for food

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production and for me production is

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going to be more akin to brewing beer or

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brewing spirits uh it'll be stuff in

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bats and that's where we will be um

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where we were

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trading our meat on our protein products

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um this is a this is an example of a

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tech startup that i really like um but

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it's a good example of how uh wealth is

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also driving uh some of the funding that

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goes on into uh into ag tech at the

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moment especially at the the lower end

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um what these guys do is they get um

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they get the they get proteins meat

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proteins and then they manufacture that

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protein in the lab so they do stuff like

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goat prawn galapagos turtle all sorts of

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stuff so not necessarily something that

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you're going to see at the big

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supermarkets anytime soon um but another

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another another interesting uh

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innovation and direction of where this

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stuff's going

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food waste and bugs are going to be big

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and super hot over the next decade or so

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um goterra is a canberra startup um

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olympia yaga is one of the most exciting

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entrepreneurs that we have in australia

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she's got funding recently through grok

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ventures which is uh mike cannon

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brooks's fund from atlassian who's doing

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a lot of funding in

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for the for the australian ag tech

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sector um she's got these pods that can

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go to different locations put bugs in

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the pods feed the bugs bugs break down

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all of the all of the all of the food

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waste take the bugs out use the bugs use

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the fly larvae for animal proteins for

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proteins putting it in dog food all

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sorts of stuff like that um so so moving

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towards that uh those micro um

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localized micro approaches where we

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which also fit really nicely for that

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potential of how we can see the regions

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where we're developing localized systems

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to manage um the the waste and other

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things that we're producing

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so super exciting there

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satellite imagery is really one of the

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big ones particularly within viticulture

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horticulture

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and crops stuff so stuff the satellite

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imagery that we're getting from space is

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able to tell us a lot that's going on

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at the at the plant level but also at

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the soil level that imagery resolution

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is getting better and better

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even looking at things like looking at

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the

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potential for carbon and being able to

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track carbon uh look at carbon

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percentages in the soil just from using

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satellite technology

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um so this is an example of the sort of

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imagery that that we use in in the app

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that i have

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where people want to start to move to

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precision agriculture

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so rather than say spreading this entire

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block uniformly you can start to define

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key areas and say okay we want to target

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something here or what is this blue like

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what have we got going on here do we

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have a water leak or do we have some

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other thing that's going on what's

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happening at the fringes

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and that's really helping to

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for people to be able to target improve

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quality and yield

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on on their land production

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which really if we want to be producing

282
00:10:45,760 --> 00:10:52,959
more on existing soil it is this uh

283
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approach to nurturing nurturing soil

284
00:10:52,959 --> 00:10:58,079
minimizing uh the inputs that we're

285
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putting as far as fertilizer fertilizers

286
00:10:58,079 --> 00:11:02,320
and pesticides but also maximizing the

287
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impact of where we do spread those

288
00:11:02,320 --> 00:11:05,760
things um so i think that's super

289
00:11:04,240 --> 00:11:07,519
exciting

290
00:11:05,760 --> 00:11:11,200
um this is a really this is a really

291
00:11:07,519 --> 00:11:15,360
cool organization that is um basically

292
00:11:11,200 --> 00:11:17,760
strapping gopro cameras onto autonomous

293
00:11:15,360 --> 00:11:19,920
bots or little vehicles little gators

294
00:11:17,760 --> 00:11:21,839
taking them through uh different crops

295
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this one's vineyards but they also do

296
00:11:21,839 --> 00:11:29,200
like strawberries and other hawk crops

297
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and then they run ai and the ai then

298
00:11:29,200 --> 00:11:33,200
tells you what it what are the different

299
00:11:31,440 --> 00:11:35,760
elements of the crop

300
00:11:33,200 --> 00:11:37,600
of the plant at different times

301
00:11:35,760 --> 00:11:39,200
so when you do that for example you can

302
00:11:37,600 --> 00:11:40,720
look at the percentage of shoots that

303
00:11:39,200 --> 00:11:42,800
are on something and then you might say

304
00:11:40,720 --> 00:11:45,839
okay well if we reduce if we shoot thin

305
00:11:42,800 --> 00:11:47,440
and reduce by 25 then at the other end

306
00:11:45,839 --> 00:11:49,600
when we start to get fruit we're going

307
00:11:47,440 --> 00:11:52,399
to maximize our yield because we're

308
00:11:49,600 --> 00:11:54,000
going to um be able to rather than

309
00:11:52,399 --> 00:11:55,120
having lots and lots of foliage and lots

310
00:11:54,000 --> 00:11:57,279
and lots of small fruit you can

311
00:11:55,120 --> 00:12:00,480
concentrate that down so you get more

312
00:11:57,279 --> 00:12:02,880
concentrated bigger bigger fruit um so

313
00:12:00,480 --> 00:12:05,360
this this uh this company is also really

314
00:12:02,880 --> 00:12:07,519
cool they're based in tasmania

315
00:12:05,360 --> 00:12:09,600
um but there is a conflict between the

316
00:12:07,519 --> 00:12:11,519
best interest of farm but is there a

317
00:12:09,600 --> 00:12:14,240
conflict between the best interest of

318
00:12:11,519 --> 00:12:16,480
farmers and innovation

319
00:12:14,240 --> 00:12:17,360
and we know in tech that there usually

320
00:12:16,480 --> 00:12:19,920
is

321
00:12:17,360 --> 00:12:23,120
um one of the real pushes that you're

322
00:12:19,920 --> 00:12:26,320
really seeing is um data is the new oil

323
00:12:23,120 --> 00:12:29,120
generally um this this real data this

324
00:12:26,320 --> 00:12:31,279
real interest in grabbing as much data

325
00:12:29,120 --> 00:12:34,480
from all of these different machines and

326
00:12:31,279 --> 00:12:37,519
systems as as companies can so who is

327
00:12:34,480 --> 00:12:40,240
going to own farmers data

328
00:12:37,519 --> 00:12:42,079
but what are what is the benefit at the

329
00:12:40,240 --> 00:12:45,680
same time what is the benefit of shared

330
00:12:42,079 --> 00:12:48,160
data and shared approaches to data um so

331
00:12:45,680 --> 00:12:49,360
it's something to be cautious of but

332
00:12:48,160 --> 00:12:50,720
also

333
00:12:49,360 --> 00:12:52,800
there's there is

334
00:12:50,720 --> 00:12:54,639
also potential opportunity

335
00:12:52,800 --> 00:12:58,000
but you're really getting big companies

336
00:12:54,639 --> 00:12:59,600
here like um like bosch they call their

337
00:12:58,000 --> 00:13:01,680
system open and neutral and

338
00:12:59,600 --> 00:13:03,600
collaborative so they're using a lot of

339
00:13:01,680 --> 00:13:05,279
the terminology that comes from the open

340
00:13:03,600 --> 00:13:07,360
source community

341
00:13:05,279 --> 00:13:09,600
but i would argue that this that this

342
00:13:07,360 --> 00:13:11,920
system is not open source or the element

343
00:13:09,600 --> 00:13:14,399
of open source may exist but also the

344
00:13:11,920 --> 00:13:17,040
commercialization of data is uh

345
00:13:14,399 --> 00:13:18,160
absolutely at the forefront of of what

346
00:13:17,040 --> 00:13:20,079
it is that

347
00:13:18,160 --> 00:13:21,440
this company is doing for better or

348
00:13:20,079 --> 00:13:22,880
worse i'm not making a judgment on it at

349
00:13:21,440 --> 00:13:25,200
this point

350
00:13:22,880 --> 00:13:28,880
uh ibm uh who are sponsors of linuxcom

351
00:13:25,200 --> 00:13:31,519
thanks for that um are also i've sat in

352
00:13:28,880 --> 00:13:34,240
with um with people from ibm as they

353
00:13:31,519 --> 00:13:36,399
presented to growers in the riverland in

354
00:13:34,240 --> 00:13:38,959
south australia to talk about putting

355
00:13:36,399 --> 00:13:40,959
their fruit on the blockchain

356
00:13:38,959 --> 00:13:42,959
um that was a couple of years ago that

357
00:13:40,959 --> 00:13:44,240
project in south australia didn't didn't

358
00:13:42,959 --> 00:13:48,240
go anywhere

359
00:13:44,240 --> 00:13:50,959
but this uh push still to be able to put

360
00:13:48,240 --> 00:13:53,920
commodities on blockchain is very much

361
00:13:50,959 --> 00:13:55,440
uh still live within within the industry

362
00:13:53,920 --> 00:13:57,600
at the moment

363
00:13:55,440 --> 00:13:59,760
this was recent this was just a last

364
00:13:57,600 --> 00:14:01,839
month i think bayer and microsoft

365
00:13:59,760 --> 00:14:04,160
partnering to build cloud-based digital

366
00:14:01,839 --> 00:14:06,639
tools so you're really seeing this theme

367
00:14:04,160 --> 00:14:09,360
of these big companies and partnering

368
00:14:06,639 --> 00:14:10,480
with with big tech providers to uh to

369
00:14:09,360 --> 00:14:12,399
start to

370
00:14:10,480 --> 00:14:14,800
uh to start to

371
00:14:12,399 --> 00:14:17,360
create data partnerships

372
00:14:14,800 --> 00:14:19,040
now this is a really cool um i should

373
00:14:17,360 --> 00:14:21,360
pop this in the chat actually this is a

374
00:14:19,040 --> 00:14:23,360
really cool talk um

375
00:14:21,360 --> 00:14:26,959
uh this is sick codes who is an

376
00:14:23,360 --> 00:14:29,440
australian based uh researcher um who

377
00:14:26,959 --> 00:14:32,880
did a talk for defcon

378
00:14:29,440 --> 00:14:35,680
who did a talk for def con um around

379
00:14:32,880 --> 00:14:38,160
uh hacking john d attractors and some

380
00:14:35,680 --> 00:14:41,199
kch tractors so there was a group of a

381
00:14:38,160 --> 00:14:42,240
group of uh ethical hacking researchers

382
00:14:41,199 --> 00:14:45,040
that wanted to look at the

383
00:14:42,240 --> 00:14:45,920
vulnerabilities of of tractors

384
00:14:45,040 --> 00:14:47,920
um

385
00:14:45,920 --> 00:14:49,600
some of this i think some of the the

386
00:14:47,920 --> 00:14:52,560
learnings and some of the discussions

387
00:14:49,600 --> 00:14:55,120
have evolved since this talk um but

388
00:14:52,560 --> 00:14:58,240
he's a really really great guy for being

389
00:14:55,120 --> 00:15:01,120
really interested in um what is you know

390
00:14:58,240 --> 00:15:02,079
what is pretty um

391
00:15:01,120 --> 00:15:04,320
uh

392
00:15:02,079 --> 00:15:05,199
pretty kind of um

393
00:15:04,320 --> 00:15:07,199
uh

394
00:15:05,199 --> 00:15:09,199
what's the word what's the word when

395
00:15:07,199 --> 00:15:11,600
people aren't very educated on something

396
00:15:09,199 --> 00:15:13,199
um about the you know so it's all pretty

397
00:15:11,600 --> 00:15:14,800
new like this stuff's all pretty new and

398
00:15:13,199 --> 00:15:17,360
green and some of the vulnerabilities

399
00:15:14,800 --> 00:15:20,880
that actually exist within john deere

400
00:15:17,360 --> 00:15:23,760
are vulnerabilities that mean that um

401
00:15:20,880 --> 00:15:27,600
that they are able to then say lock down

402
00:15:23,760 --> 00:15:29,920
um or they use those exploits for access

403
00:15:27,600 --> 00:15:33,279
around their right to repair stuff so

404
00:15:29,920 --> 00:15:35,920
farmers not being able to uh get in and

405
00:15:33,279 --> 00:15:38,320
to repair their own tractors

406
00:15:35,920 --> 00:15:41,279
um sorry i mumbled i've mumbled on this

407
00:15:38,320 --> 00:15:43,440
one a little bit but um but i guess the

408
00:15:41,279 --> 00:15:46,800
the real point is that this is an

409
00:15:43,440 --> 00:15:49,440
example of how the um ag tech scene is

410
00:15:46,800 --> 00:15:51,600
still undercooked when it comes to

411
00:15:49,440 --> 00:15:53,360
um when it comes to ethical hacking and

412
00:15:51,600 --> 00:15:56,399
when it comes to

413
00:15:53,360 --> 00:15:58,240
systems that are safe and secure

414
00:15:56,399 --> 00:16:00,639
here's a couple of examples that he sent

415
00:15:58,240 --> 00:16:02,320
me of different display screens so this

416
00:16:00,639 --> 00:16:04,000
also gives you a little bit of an idea

417
00:16:02,320 --> 00:16:05,680
about the different sort of display

418
00:16:04,000 --> 00:16:07,360
screens and setups that we're also

419
00:16:05,680 --> 00:16:09,120
talking about when we're talking about

420
00:16:07,360 --> 00:16:10,720
uh when we're talking about ag tech as

421
00:16:09,120 --> 00:16:13,440
well

422
00:16:10,720 --> 00:16:15,440
um there is definitely moves within the

423
00:16:13,440 --> 00:16:17,600
sector to be doing something about this

424
00:16:15,440 --> 00:16:20,320
um and about data sharing and to be

425
00:16:17,600 --> 00:16:21,440
setting ethical standards uh for farmers

426
00:16:20,320 --> 00:16:23,759
and

427
00:16:21,440 --> 00:16:25,600
having a farm data code for ag tech

428
00:16:23,759 --> 00:16:28,639
developers to be following in

429
00:16:25,600 --> 00:16:31,920
partnership um with with um

430
00:16:28,639 --> 00:16:34,720
with organizations as well so creating

431
00:16:31,920 --> 00:16:37,040
ethical ethical data sharing is is very

432
00:16:34,720 --> 00:16:39,279
much um very much at the forefront of

433
00:16:37,040 --> 00:16:41,440
farmers minds in particular

434
00:16:39,279 --> 00:16:43,360
um probably the one thing that i have to

435
00:16:41,440 --> 00:16:45,759
apologize for that i didn't progress

436
00:16:43,360 --> 00:16:48,720
from getting sick was to follow up with

437
00:16:45,759 --> 00:16:50,560
how the agstack foundation is going

438
00:16:48,720 --> 00:16:53,440
i do have a couple of contacts from

439
00:16:50,560 --> 00:16:56,800
twitter but this is the linux foundation

440
00:16:53,440 --> 00:16:58,480
um setting up the agstack foundation um

441
00:16:56,800 --> 00:17:00,720
so i'd really encourage everyone that

442
00:16:58,480 --> 00:17:02,720
has an interest to follow up with this

443
00:17:00,720 --> 00:17:04,480
to find out how it's going to find out

444
00:17:02,720 --> 00:17:06,400
how projects are going

445
00:17:04,480 --> 00:17:08,559
it feels to me just from the outside

446
00:17:06,400 --> 00:17:11,600
looking like uh it needs a little bit of

447
00:17:08,559 --> 00:17:14,720
love um and and some ideas and some

448
00:17:11,600 --> 00:17:16,799
opportunity to to go through it um but i

449
00:17:14,720 --> 00:17:19,600
think that the importance of keeping

450
00:17:16,799 --> 00:17:21,919
this stuff open source and creating

451
00:17:19,600 --> 00:17:23,520
shared infrastructure and data standards

452
00:17:21,919 --> 00:17:26,400
is is really important so i'd really

453
00:17:23,520 --> 00:17:28,240
encourage everyone to get involved

454
00:17:26,400 --> 00:17:29,679
so what am i doing about this now i'm

455
00:17:28,240 --> 00:17:33,280
going to chat to you a little bit about

456
00:17:29,679 --> 00:17:36,160
two projects one of them is uh platform

457
00:17:33,280 --> 00:17:38,880
so this is um this is the the the

458
00:17:36,160 --> 00:17:41,039
application that um that my organization

459
00:17:38,880 --> 00:17:42,400
has built and then i'll talk about uh

460
00:17:41,039 --> 00:17:44,480
collaboraculture which is a

461
00:17:42,400 --> 00:17:46,400
collaborative

462
00:17:44,480 --> 00:17:47,760
piece of work that we've done with the

463
00:17:46,400 --> 00:17:49,440
the sector

464
00:17:47,760 --> 00:17:51,280
um so i showed you some pretty crappy

465
00:17:49,440 --> 00:17:53,520
device oh you know some pretty basic

466
00:17:51,280 --> 00:17:55,360
display screens uh the premise of

467
00:17:53,520 --> 00:17:58,320
platform is that it works on smart

468
00:17:55,360 --> 00:18:00,480
devices um so from the app store from

469
00:17:58,320 --> 00:18:03,440
the app store um

470
00:18:00,480 --> 00:18:06,080
and it can just be used on uh phones and

471
00:18:03,440 --> 00:18:08,720
tablets so you know really really about

472
00:18:06,080 --> 00:18:11,039
that democratization of technology a lot

473
00:18:08,720 --> 00:18:13,360
of the stuff that's in big tractors so

474
00:18:11,039 --> 00:18:15,200
big tractors have big tech that tech

475
00:18:13,360 --> 00:18:17,360
costs thousands of dollars when you

476
00:18:15,200 --> 00:18:19,679
start to get down to about under 100

477
00:18:17,360 --> 00:18:21,919
horsepower for smaller tractors those

478
00:18:19,679 --> 00:18:24,080
tractors don't have any technology in

479
00:18:21,919 --> 00:18:25,679
them um so right around the world we've

480
00:18:24,080 --> 00:18:27,600
got people that are driving tractors

481
00:18:25,679 --> 00:18:29,520
without any technology and within

482
00:18:27,600 --> 00:18:31,440
australia particularly in say the

483
00:18:29,520 --> 00:18:33,120
viticulture sector those tractors are

484
00:18:31,440 --> 00:18:35,360
small and there's not a lot that's going

485
00:18:33,120 --> 00:18:38,000
on in them um this is such a nice

486
00:18:35,360 --> 00:18:39,280
picture i think because you can see that

487
00:18:38,000 --> 00:18:42,080
when you're in the middle of the

488
00:18:39,280 --> 00:18:45,200
grapevines it's really easy to lose

489
00:18:42,080 --> 00:18:48,480
orientation of of of where you are

490
00:18:45,200 --> 00:18:51,280
so what platform is is a geospatially

491
00:18:48,480 --> 00:18:54,960
based tasking and tracking system

492
00:18:51,280 --> 00:18:58,000
um that allows you to draw in your

493
00:18:54,960 --> 00:19:00,080
geographical assets for your property so

494
00:18:58,000 --> 00:19:01,440
the the vineyard in this case drawing in

495
00:19:00,080 --> 00:19:04,160
the vine rows

496
00:19:01,440 --> 00:19:06,240
um and then you can define the areas of

497
00:19:04,160 --> 00:19:08,559
work where you want certain work done

498
00:19:06,240 --> 00:19:10,400
and when we look think back about that

499
00:19:08,559 --> 00:19:12,480
that map that i showed that heat map you

500
00:19:10,400 --> 00:19:13,840
can define what they call prescription

501
00:19:12,480 --> 00:19:16,000
zone areas

502
00:19:13,840 --> 00:19:18,400
um define what sort of work rates you

503
00:19:16,000 --> 00:19:20,720
want in those areas and then when the

504
00:19:18,400 --> 00:19:22,640
tractor operator is out in the field

505
00:19:20,720 --> 00:19:24,720
they are then being tracked using the

506
00:19:22,640 --> 00:19:27,200
gps of their phone or an extender if

507
00:19:24,720 --> 00:19:29,760
they've got one um to show them where

508
00:19:27,200 --> 00:19:32,000
whereabouts they are in the field um so

509
00:19:29,760 --> 00:19:34,559
it really is and and the extension for

510
00:19:32,000 --> 00:19:36,480
platform going forward is to move out of

511
00:19:34,559 --> 00:19:38,640
just vineyards into

512
00:19:36,480 --> 00:19:40,799
any application where we would like to

513
00:19:38,640 --> 00:19:43,120
look at look at the landscape and the

514
00:19:40,799 --> 00:19:45,840
assets within it and then define define

515
00:19:43,120 --> 00:19:48,720
work in a geospatial sense so you get

516
00:19:45,840 --> 00:19:50,320
this really nice component of data

517
00:19:48,720 --> 00:19:53,919
shared data

518
00:19:50,320 --> 00:19:56,160
mapping map assets and then and then the

519
00:19:53,919 --> 00:19:57,600
the the gps tracking of those of those

520
00:19:56,160 --> 00:19:59,120
assets

521
00:19:57,600 --> 00:20:02,640
uh so this is just like one of the nice

522
00:19:59,120 --> 00:20:04,880
slides um so here what i've got is uh

523
00:20:02,640 --> 00:20:07,280
the raw row model of you know what are

524
00:20:04,880 --> 00:20:09,280
the what are the vines uh what are the

525
00:20:07,280 --> 00:20:11,360
the lines that make up the vines how do

526
00:20:09,280 --> 00:20:13,120
we then operationalize them and then how

527
00:20:11,360 --> 00:20:15,440
do we use them into how do we put them

528
00:20:13,120 --> 00:20:17,520
into something a bit more sophisticated

529
00:20:15,440 --> 00:20:20,240
um one of the tools that we use is map

530
00:20:17,520 --> 00:20:23,679
box um and so mapbox has been really

531
00:20:20,240 --> 00:20:25,760
useful not only for us but also as a way

532
00:20:23,679 --> 00:20:27,600
to encourage other companies that want

533
00:20:25,760 --> 00:20:29,600
to integrate with us so whether or not

534
00:20:27,600 --> 00:20:31,280
they're drone providers or they have

535
00:20:29,600 --> 00:20:34,159
drone imagery providers or they have

536
00:20:31,280 --> 00:20:36,480
satellite imagery uh to say okay well

537
00:20:34,159 --> 00:20:38,880
rather than necessarily connecting

538
00:20:36,480 --> 00:20:41,120
directly with us per se you get your

539
00:20:38,880 --> 00:20:42,720
stuff into mapbox and then we can pull

540
00:20:41,120 --> 00:20:44,559
it out of mapbox

541
00:20:42,720 --> 00:20:46,400
um because the reality is that you've

542
00:20:44,559 --> 00:20:48,559
got all of these startups that are all

543
00:20:46,400 --> 00:20:50,720
quite small none of us have the money to

544
00:20:48,559 --> 00:20:53,200
be able to integrate directly in with

545
00:20:50,720 --> 00:20:55,039
all of the these um other companies and

546
00:20:53,200 --> 00:20:56,400
providers particularly the ones that

547
00:20:55,039 --> 00:20:57,440
aren't at scale

548
00:20:56,400 --> 00:21:00,799
um

549
00:20:57,440 --> 00:21:02,880
but using uh using something like mapbox

550
00:21:00,799 --> 00:21:05,200
is that intermediary means that you can

551
00:21:02,880 --> 00:21:06,960
encourage the investment to go

552
00:21:05,200 --> 00:21:09,280
for the development investment for

553
00:21:06,960 --> 00:21:12,080
people to connect into something that

554
00:21:09,280 --> 00:21:14,159
others are going to be able to use um so

555
00:21:12,080 --> 00:21:16,559
it's a really useful way to start to

556
00:21:14,159 --> 00:21:19,200
quickly encourage building out an

557
00:21:16,559 --> 00:21:20,559
ecosystem and and a set of set of

558
00:21:19,200 --> 00:21:22,880
standards

559
00:21:20,559 --> 00:21:24,400
um and then what we're looking to do is

560
00:21:22,880 --> 00:21:27,840
to use some of the cool features like

561
00:21:24,400 --> 00:21:30,480
map box so um so you know when you can

562
00:21:27,840 --> 00:21:32,320
start to do route navigation for example

563
00:21:30,480 --> 00:21:34,640
uh what does root navigation look like

564
00:21:32,320 --> 00:21:37,120
within the farm or within within the

565
00:21:34,640 --> 00:21:38,880
within the within a vineyard

566
00:21:37,120 --> 00:21:40,559
um this is open street maps they're

567
00:21:38,880 --> 00:21:42,480
sorry this picture's a bit uh it hasn't

568
00:21:40,559 --> 00:21:44,320
got much definition in it but the other

569
00:21:42,480 --> 00:21:47,039
thing that we've been thinking about and

570
00:21:44,320 --> 00:21:49,440
and working with the opengis community

571
00:21:47,039 --> 00:21:52,320
is just okay well what we're actually

572
00:21:49,440 --> 00:21:54,320
when we know the rows we also then know

573
00:21:52,320 --> 00:21:56,640
the tractor paths and those tractor

574
00:21:54,320 --> 00:21:59,280
paths are kind of like roads so we're

575
00:21:56,640 --> 00:22:02,880
starting to develop extra um

576
00:21:59,280 --> 00:22:05,600
geographical assets within properties

577
00:22:02,880 --> 00:22:07,919
um and then looking at the

578
00:22:05,600 --> 00:22:10,400
how they then fit within something like

579
00:22:07,919 --> 00:22:14,400
openstreetmap um because we have this

580
00:22:10,400 --> 00:22:16,720
challenge of um you've got farms for

581
00:22:14,400 --> 00:22:18,559
example that haven't had they've they've

582
00:22:16,720 --> 00:22:20,799
always had surveying and now they'll

583
00:22:18,559 --> 00:22:22,480
have really detailed maps or you know

584
00:22:20,799 --> 00:22:24,559
they could have been surveyed years ago

585
00:22:22,480 --> 00:22:26,480
but you have big pieces of paper and big

586
00:22:24,559 --> 00:22:28,799
maps but there's nothing that's actually

587
00:22:26,480 --> 00:22:30,480
nothing's digitized so how do we move

588
00:22:28,799 --> 00:22:31,760
the sector towards having something

589
00:22:30,480 --> 00:22:33,520
digitized

590
00:22:31,760 --> 00:22:35,679
and that's just not for our application

591
00:22:33,520 --> 00:22:37,600
that's for all sorts of applications

592
00:22:35,679 --> 00:22:40,240
that are going to benefit from getting

593
00:22:37,600 --> 00:22:42,559
they're getting um these these farms

594
00:22:40,240 --> 00:22:45,120
mapped in a digital way um so what are

595
00:22:42,559 --> 00:22:48,960
the ways that you can kind of do that um

596
00:22:45,120 --> 00:22:52,400
that can be shared um that could be um

597
00:22:48,960 --> 00:22:54,480
maybe created within the the commons uh

598
00:22:52,400 --> 00:22:56,640
get agronomists out to be to be doing

599
00:22:54,480 --> 00:22:58,720
this mapping uh training up young people

600
00:22:56,640 --> 00:23:00,320
for example being getting them to do

601
00:22:58,720 --> 00:23:02,080
mapping and then where are you gonna put

602
00:23:00,320 --> 00:23:04,159
that map information

603
00:23:02,080 --> 00:23:07,360
um so part of what we've been looking at

604
00:23:04,159 --> 00:23:09,440
is um the the appropriateness of street

605
00:23:07,360 --> 00:23:10,799
map for some of those elements

606
00:23:09,440 --> 00:23:12,159
and then talking to the sector about

607
00:23:10,799 --> 00:23:14,159
that as well

608
00:23:12,159 --> 00:23:16,000
one of the benefits then as you start to

609
00:23:14,159 --> 00:23:18,720
look at as you start to think about

610
00:23:16,000 --> 00:23:21,919
these things as roads is you can also

611
00:23:18,720 --> 00:23:25,840
look at road at what already occurs

612
00:23:21,919 --> 00:23:29,039
within um technology around roads and

613
00:23:25,840 --> 00:23:31,600
ordering uh ordering um

614
00:23:29,039 --> 00:23:34,640
ordering rows and ordering information

615
00:23:31,600 --> 00:23:36,559
like streetscape information um so one

616
00:23:34,640 --> 00:23:38,320
of the one of the talks that we took a

617
00:23:36,559 --> 00:23:41,440
lot of inspiration from i should put

618
00:23:38,320 --> 00:23:43,679
this slide in sorry i haven't um was a

619
00:23:41,440 --> 00:23:47,200
person called emily eros who did a talk

620
00:23:43,679 --> 00:23:50,400
for one of the phosphor g conferences

621
00:23:47,200 --> 00:23:52,880
on um street sign matching curb street

622
00:23:50,400 --> 00:23:54,559
sign matching so they have this they

623
00:23:52,880 --> 00:23:56,640
have these issues in big cities like new

624
00:23:54,559 --> 00:23:58,799
york where amazon or whoever pulls up

625
00:23:56,640 --> 00:24:00,480
and then they just drop all of their

626
00:23:58,799 --> 00:24:02,840
packages on the side of the road and

627
00:24:00,480 --> 00:24:06,400
what they need to know is what the

628
00:24:02,840 --> 00:24:08,000
parking um restrictions are for that

629
00:24:06,400 --> 00:24:09,600
that that road like that they don't want

630
00:24:08,000 --> 00:24:11,360
to park somewhere where they own where

631
00:24:09,600 --> 00:24:14,159
they are only let apart for two hours

632
00:24:11,360 --> 00:24:16,400
when really they need four hours so that

633
00:24:14,159 --> 00:24:19,360
mapping of putting that data and that

634
00:24:16,400 --> 00:24:21,440
information on at elements along the

635
00:24:19,360 --> 00:24:23,840
curb or along the street

636
00:24:21,440 --> 00:24:25,360
we've then drawn from to be able to say

637
00:24:23,840 --> 00:24:27,679
well we're going to take that same

638
00:24:25,360 --> 00:24:29,440
approach we've got these elements that

639
00:24:27,679 --> 00:24:32,240
are coming from

640
00:24:29,440 --> 00:24:34,159
from ai and identifying where we've got

641
00:24:32,240 --> 00:24:36,240
uh certain features of a plant or

642
00:24:34,159 --> 00:24:38,240
certain elements on a plant how are we

643
00:24:36,240 --> 00:24:40,559
then going to accurately take that and

644
00:24:38,240 --> 00:24:43,440
then map that within our vineyards so

645
00:24:40,559 --> 00:24:45,279
that we can actually direct work there

646
00:24:43,440 --> 00:24:46,799
so that's been a really cool way of

647
00:24:45,279 --> 00:24:49,600
thinking about

648
00:24:46,799 --> 00:24:52,240
um thinking about vine about the

649
00:24:49,600 --> 00:24:55,039
vine rose as as a street and then

650
00:24:52,240 --> 00:24:56,240
looking at um looking at data matching

651
00:24:55,039 --> 00:24:58,640
uh to

652
00:24:56,240 --> 00:25:02,000
to those vine rows

653
00:24:58,640 --> 00:25:06,000
um so then how do we get to this

654
00:25:02,000 --> 00:25:08,559
connected data data sharing feature um

655
00:25:06,000 --> 00:25:10,720
so even the way that platform works is

656
00:25:08,559 --> 00:25:13,279
we want to be able to connect all of

657
00:25:10,720 --> 00:25:14,720
these different elements via an api

658
00:25:13,279 --> 00:25:16,799
sometimes i do this

659
00:25:14,720 --> 00:25:19,679
talk to not very technical people so

660
00:25:16,799 --> 00:25:21,200
that asks me what an api is um how do we

661
00:25:19,679 --> 00:25:24,480
how do we bring all of those different

662
00:25:21,200 --> 00:25:26,240
elements together um through apis

663
00:25:24,480 --> 00:25:28,000
well what we really realize that

664
00:25:26,240 --> 00:25:31,600
particularly within viticulture for

665
00:25:28,000 --> 00:25:34,400
example is we actually didn't even have

666
00:25:31,600 --> 00:25:35,840
an agreed um approach as to what a

667
00:25:34,400 --> 00:25:39,039
vineyard was

668
00:25:35,840 --> 00:25:40,799
um and so without even the sector really

669
00:25:39,039 --> 00:25:43,600
being clear on what it was that a

670
00:25:40,799 --> 00:25:44,960
vineyard was how do we propose that

671
00:25:43,600 --> 00:25:47,039
developers are going to be able to

672
00:25:44,960 --> 00:25:49,120
create a data model around that let

673
00:25:47,039 --> 00:25:51,360
alone a data model that's interoperable

674
00:25:49,120 --> 00:25:53,039
that will mean that we can share data

675
00:25:51,360 --> 00:25:54,640
information

676
00:25:53,039 --> 00:25:57,520
um so one of the cool things that we're

677
00:25:54,640 --> 00:25:59,600
in that we did was got a bit of funding

678
00:25:57,520 --> 00:26:02,240
um from one of the state government

679
00:25:59,600 --> 00:26:03,200
organizations in south australia and we

680
00:26:02,240 --> 00:26:05,039
started this project called

681
00:26:03,200 --> 00:26:07,919
collaboration this website's built in

682
00:26:05,039 --> 00:26:11,120
drupal which is open source as well

683
00:26:07,919 --> 00:26:14,400
and we built this built this website um

684
00:26:11,120 --> 00:26:16,720
to uh to start to bring different people

685
00:26:14,400 --> 00:26:19,200
together put start to put resources and

686
00:26:16,720 --> 00:26:21,279
information um about what other people

687
00:26:19,200 --> 00:26:23,360
were doing both nationally

688
00:26:21,279 --> 00:26:25,120
internationally

689
00:26:23,360 --> 00:26:28,000
what people were doing in other

690
00:26:25,120 --> 00:26:31,600
industries so people had done um data

691
00:26:28,000 --> 00:26:33,600
mapping element projects around the um

692
00:26:31,600 --> 00:26:36,720
around the broad acre sector but they

693
00:26:33,600 --> 00:26:36,720
hadn't actually done it within

694
00:26:37,679 --> 00:26:41,679
the culture we did was then we had a

695
00:26:39,520 --> 00:26:43,360
series of workshops and we're bringing

696
00:26:41,679 --> 00:26:45,440
all sorts of people together into these

697
00:26:43,360 --> 00:26:47,200
workshops um it's one of the really

698
00:26:45,440 --> 00:26:48,880
interesting things about ag tech is

699
00:26:47,200 --> 00:26:51,279
you're building a movement and you're

700
00:26:48,880 --> 00:26:53,200
taking uh lots of different groups of

701
00:26:51,279 --> 00:26:56,320
people that are at different uh

702
00:26:53,200 --> 00:26:58,799
different uh positions or mindsets or

703
00:26:56,320 --> 00:27:00,960
whatever uh along with you i guess at

704
00:26:58,799 --> 00:27:03,039
the center to that is the farmer or is

705
00:27:00,960 --> 00:27:04,480
the grower so you know they're the one

706
00:27:03,039 --> 00:27:06,400
they're the ones that you're kind of

707
00:27:04,480 --> 00:27:08,480
wanting to take because you're wanting

708
00:27:06,400 --> 00:27:11,440
to firstly create products that are

709
00:27:08,480 --> 00:27:13,200
useful and going to be used um but also

710
00:27:11,440 --> 00:27:15,039
to get uh

711
00:27:13,200 --> 00:27:17,279
and that they will then want to use and

712
00:27:15,039 --> 00:27:19,039
contribute and that are fit for purpose

713
00:27:17,279 --> 00:27:20,480
so you have them um then you have

714
00:27:19,039 --> 00:27:21,919
developers that want to be building

715
00:27:20,480 --> 00:27:23,360
stuff for ag tech because it's really

716
00:27:21,919 --> 00:27:25,360
cool then you've got your different

717
00:27:23,360 --> 00:27:27,360
industry bodies like one australia or

718
00:27:25,360 --> 00:27:30,640
your state government authorities

719
00:27:27,360 --> 00:27:33,520
government whoever it is um and everyone

720
00:27:30,640 --> 00:27:36,080
is at a very different position around

721
00:27:33,520 --> 00:27:38,320
what it is that they think is important

722
00:27:36,080 --> 00:27:40,320
and in some cases they've also been

723
00:27:38,320 --> 00:27:42,480
doing this stuff for a really long time

724
00:27:40,320 --> 00:27:44,720
as well so for example within the

725
00:27:42,480 --> 00:27:47,120
viticulture industry

726
00:27:44,720 --> 00:27:50,159
measuring area or talking about work

727
00:27:47,120 --> 00:27:53,600
area defined by blocks so a big might be

728
00:27:50,159 --> 00:27:55,520
like 30 rows of grapes um that's how

729
00:27:53,600 --> 00:27:57,200
most things had been measured and when

730
00:27:55,520 --> 00:27:59,600
you think about the tech behind it it's

731
00:27:57,200 --> 00:28:01,520
kind of easy to just draw a box and then

732
00:27:59,600 --> 00:28:04,159
say here's a block do this work on a

733
00:28:01,520 --> 00:28:06,799
blog so a lot of things had been a block

734
00:28:04,159 --> 00:28:09,840
level um but if you think back to that

735
00:28:06,799 --> 00:28:11,520
image from the uh from the the vineyard

736
00:28:09,840 --> 00:28:13,279
with the the ai

737
00:28:11,520 --> 00:28:14,720
when you really want to start to get

738
00:28:13,279 --> 00:28:15,760
down to the plant level or you might

739
00:28:14,720 --> 00:28:18,240
want to be able to get down to an

740
00:28:15,760 --> 00:28:21,120
individual shoot level so you actually

741
00:28:18,240 --> 00:28:23,200
need to be is taking another step deeper

742
00:28:21,120 --> 00:28:24,559
and looking at the geographical assets

743
00:28:23,200 --> 00:28:25,360
around say

744
00:28:24,559 --> 00:28:28,799
um

745
00:28:25,360 --> 00:28:31,520
your posts and your rows and uh and and

746
00:28:28,799 --> 00:28:34,320
understanding those elements there

747
00:28:31,520 --> 00:28:35,440
so rather than kind of jump in and build

748
00:28:34,320 --> 00:28:38,080
something

749
00:28:35,440 --> 00:28:40,960
um we we made sure that we stayed

750
00:28:38,080 --> 00:28:42,720
restrained um and resisted kind of some

751
00:28:40,960 --> 00:28:44,240
pushes within the ag tech within people

752
00:28:42,720 --> 00:28:47,600
that were already building out stuff in

753
00:28:44,240 --> 00:28:50,159
ag tech to just look at the logical data

754
00:28:47,600 --> 00:28:52,240
model um so we we wanted this to be

755
00:28:50,159 --> 00:28:54,480
technology dependent a lot of stuff that

756
00:28:52,240 --> 00:28:57,039
happens in ag tech is still built using

757
00:28:54,480 --> 00:29:00,399
um using excel and that's that's totally

758
00:28:57,039 --> 00:29:03,760
fine um but what we came up with as a

759
00:29:00,399 --> 00:29:07,039
sector was this data model around the

760
00:29:03,760 --> 00:29:10,320
the key elements of the vineyard um and

761
00:29:07,039 --> 00:29:12,799
the the attributes that that made made

762
00:29:10,320 --> 00:29:14,880
that made those work um and we worked

763
00:29:12,799 --> 00:29:18,240
with john bryant who has been heavily

764
00:29:14,880 --> 00:29:19,679
involved in the phos 4g movement um for

765
00:29:18,240 --> 00:29:22,080
for many years particularly within

766
00:29:19,679 --> 00:29:25,679
australia um so we really took an an

767
00:29:22,080 --> 00:29:27,600
open source approach to this information

768
00:29:25,679 --> 00:29:29,919
and as such we've also published this

769
00:29:27,600 --> 00:29:31,600
stuff into github so we've made sure

770
00:29:29,919 --> 00:29:34,399
that everything that we've done we've

771
00:29:31,600 --> 00:29:37,559
put back out into the commons and then

772
00:29:34,399 --> 00:29:40,240
slowly slowly nudging other

773
00:29:37,559 --> 00:29:42,399
organizations to also give up some of

774
00:29:40,240 --> 00:29:45,919
their shared information or we've just

775
00:29:42,399 --> 00:29:48,720
gone and taken it um so like the grape

776
00:29:45,919 --> 00:29:50,960
the grapevine varieties um one australia

777
00:29:48,720 --> 00:29:52,720
had that in a pdf document i just sort

778
00:29:50,960 --> 00:29:55,039
of spent like you know a few hours

779
00:29:52,720 --> 00:29:57,279
taking it out and just typing it all out

780
00:29:55,039 --> 00:30:00,640
so that it could be put into

781
00:29:57,279 --> 00:30:02,880
not yes not code per se but um but to be

782
00:30:00,640 --> 00:30:05,039
able to be be able to be put into git so

783
00:30:02,880 --> 00:30:06,960
that other people could pull it out and

784
00:30:05,039 --> 00:30:09,279
slowly through doing that and really

785
00:30:06,960 --> 00:30:11,360
through taking a lead on this stuff

786
00:30:09,279 --> 00:30:13,360
we've been able to kind of like push at

787
00:30:11,360 --> 00:30:16,480
them for other bits of data set

788
00:30:13,360 --> 00:30:18,399
information so this geospatial boundary

789
00:30:16,480 --> 00:30:20,720
data that they've they've put together

790
00:30:18,399 --> 00:30:23,039
um they've they've given they've openly

791
00:30:20,720 --> 00:30:24,559
given that to us um

792
00:30:23,039 --> 00:30:26,480
this is one of the management zones

793
00:30:24,559 --> 00:30:28,399
around um

794
00:30:26,480 --> 00:30:30,799
phloxera which is i think that's a

795
00:30:28,399 --> 00:30:33,120
fungus actually um so when there's like

796
00:30:30,799 --> 00:30:35,760
fungal zones so that's a really nice

797
00:30:33,120 --> 00:30:38,159
example of information that yeah the

798
00:30:35,760 --> 00:30:39,840
grower wants to know that but that also

799
00:30:38,159 --> 00:30:41,200
has to be reported to vine health

800
00:30:39,840 --> 00:30:42,799
australia so that there are not

801
00:30:41,200 --> 00:30:45,120
outbreaks that are going on in other

802
00:30:42,799 --> 00:30:48,080
areas so again when we go back to that

803
00:30:45,120 --> 00:30:50,399
data who owns that data and what data is

804
00:30:48,080 --> 00:30:52,159
useful to the commons we are collecting

805
00:30:50,399 --> 00:30:54,320
information when we start to collect

806
00:30:52,159 --> 00:30:56,880
information in the paddock that is

807
00:30:54,320 --> 00:30:58,880
useful for other sectors so how do we

808
00:30:56,880 --> 00:31:01,679
set up systems so that we don't have to

809
00:30:58,880 --> 00:31:02,960
hand over everything to vine health

810
00:31:01,679 --> 00:31:04,240
australia there's a lot of stuff they

811
00:31:02,960 --> 00:31:06,080
don't need to know they just need to

812
00:31:04,240 --> 00:31:08,640
know the the information that matters to

813
00:31:06,080 --> 00:31:11,120
them so it really takes a takes a big

814
00:31:08,640 --> 00:31:12,799
conversation um some stuff's been hard

815
00:31:11,120 --> 00:31:15,519
to get out particularly if it already

816
00:31:12,799 --> 00:31:17,679
exists within a system things like um

817
00:31:15,519 --> 00:31:19,679
chemical spray information and stuff

818
00:31:17,679 --> 00:31:22,480
like that so we just we've just been

819
00:31:19,679 --> 00:31:24,480
slowly slowly working uh on the benefits

820
00:31:22,480 --> 00:31:26,960
of um of

821
00:31:24,480 --> 00:31:28,960
putting this information more publicly

822
00:31:26,960 --> 00:31:30,799
um it's we sort of didn't really

823
00:31:28,960 --> 00:31:33,600
appreciate it at the time but it has

824
00:31:30,799 --> 00:31:35,679
also become quite a global project

825
00:31:33,600 --> 00:31:38,720
where we've got other countries that are

826
00:31:35,679 --> 00:31:41,440
also taking this and then applying it

827
00:31:38,720 --> 00:31:42,720
not only from a country level um but

828
00:31:41,440 --> 00:31:45,519
also

829
00:31:42,720 --> 00:31:47,519
some of the big companies um like big

830
00:31:45,519 --> 00:31:49,840
tractor companies are also taking that

831
00:31:47,519 --> 00:31:51,519
model and then implementing it in in

832
00:31:49,840 --> 00:31:53,600
their own way as well

833
00:31:51,519 --> 00:31:56,799
so it's really has been about getting

834
00:31:53,600 --> 00:31:59,440
those uh key building blocks together um

835
00:31:56,799 --> 00:32:01,279
to share that across the sector

836
00:31:59,440 --> 00:32:03,600
um oh my talk's actually a little bit

837
00:32:01,279 --> 00:32:05,679
quicker than i thought um so i'd really

838
00:32:03,600 --> 00:32:09,039
encourage everyone to follow up with the

839
00:32:05,679 --> 00:32:10,159
agstack project uh find out where they

840
00:32:09,039 --> 00:32:12,159
are up to

841
00:32:10,159 --> 00:32:14,559
um and to think about how to support

842
00:32:12,159 --> 00:32:17,279
innovation and capability that's uh

843
00:32:14,559 --> 00:32:20,000
that's going on in the regions

844
00:32:17,279 --> 00:32:21,519
um i do have time for questions i could

845
00:32:20,000 --> 00:32:24,519
have added a little bit more in that for

846
00:32:21,519 --> 00:32:24,519
you

847
00:32:31,679 --> 00:32:35,279
oh i can't hear you greg

848
00:32:37,600 --> 00:32:41,760
yeah mike was muted

849
00:32:39,600 --> 00:32:44,720
okay thank you lindsey

850
00:32:41,760 --> 00:32:47,039
we do have one question

851
00:32:44,720 --> 00:32:49,120
first of all do you feel like farmers

852
00:32:47,039 --> 00:32:52,159
and other land experts are at risk of

853
00:32:49,120 --> 00:32:54,399
being exploited by the shiny promises of

854
00:32:52,159 --> 00:32:55,120
technology and tech companies

855
00:32:54,399 --> 00:32:57,440
or

856
00:32:55,120 --> 00:33:00,720
are they coming up to speed about the

857
00:32:57,440 --> 00:33:00,720
potential pitfalls

858
00:33:01,120 --> 00:33:05,279
i think that one of the real things to

859
00:33:03,039 --> 00:33:07,120
understand um there's

860
00:33:05,279 --> 00:33:10,200
for people that aren't farmers or aren't

861
00:33:07,120 --> 00:33:12,559
growers there can be this miscon

862
00:33:10,200 --> 00:33:14,960
misconception that farmers aren't very

863
00:33:12,559 --> 00:33:16,080
tech and in some cases they're not so

864
00:33:14,960 --> 00:33:17,679
one of the things that you've got to be

865
00:33:16,080 --> 00:33:19,519
careful of for example when you say

866
00:33:17,679 --> 00:33:22,320
developing a product that a farmer might

867
00:33:19,519 --> 00:33:24,399
only use once or twice a year is if you

868
00:33:22,320 --> 00:33:26,159
change that user interface

869
00:33:24,399 --> 00:33:27,120
then the next year when they go to use

870
00:33:26,159 --> 00:33:28,559
it you're going to cause a lot of

871
00:33:27,120 --> 00:33:30,159
frustration because they've forgotten

872
00:33:28,559 --> 00:33:33,200
how to use it

873
00:33:30,159 --> 00:33:34,799
but farmers it's their business and in

874
00:33:33,200 --> 00:33:36,960
some ways they have like quite a lot of

875
00:33:34,799 --> 00:33:39,120
downtime because of the seasonality of

876
00:33:36,960 --> 00:33:41,279
their work so they're doing a lot of

877
00:33:39,120 --> 00:33:43,200
research they've seen a lot of stuff a

878
00:33:41,279 --> 00:33:46,080
lot of this stuff before

879
00:33:43,200 --> 00:33:48,720
you can't talk to farmers about robotics

880
00:33:46,080 --> 00:33:50,559
like fruit picking robot machines and

881
00:33:48,720 --> 00:33:52,720
autonomous tractors that are just going

882
00:33:50,559 --> 00:33:55,360
to be retrofit and kind of you know

883
00:33:52,720 --> 00:33:58,159
drive through drive through lands um

884
00:33:55,360 --> 00:33:59,600
they've seen all of that stuff uh before

885
00:33:58,159 --> 00:34:01,200
and they've you know they've they've

886
00:33:59,600 --> 00:34:02,720
been to conferences and they've seen

887
00:34:01,200 --> 00:34:04,480
stuff where they've been talking about

888
00:34:02,720 --> 00:34:07,600
it for a really long time

889
00:34:04,480 --> 00:34:11,440
um so you can't underestimate that um i

890
00:34:07,600 --> 00:34:13,760
absolutely think that there is a data

891
00:34:11,440 --> 00:34:15,760
suck that happens

892
00:34:13,760 --> 00:34:17,760
around the world in different ways i

893
00:34:15,760 --> 00:34:20,560
mean if we think about our cars for

894
00:34:17,760 --> 00:34:22,800
example and this the way that the the

895
00:34:20,560 --> 00:34:24,639
way that um the the data and the

896
00:34:22,800 --> 00:34:26,800
information that cars are going to be

897
00:34:24,639 --> 00:34:28,000
able to collect and that they're going

898
00:34:26,800 --> 00:34:30,639
to then be able to share with

899
00:34:28,000 --> 00:34:32,480
manufacturers or share with whoever and

900
00:34:30,639 --> 00:34:34,480
as consumers we're not going to

901
00:34:32,480 --> 00:34:37,280
necessarily have a whole lot of control

902
00:34:34,480 --> 00:34:40,480
over that i think that same sort of risk

903
00:34:37,280 --> 00:34:42,720
is the risk that will face farmers

904
00:34:40,480 --> 00:34:44,720
with their machinery depending on what

905
00:34:42,720 --> 00:34:47,200
it is that they buy or whether or not

906
00:34:44,720 --> 00:34:48,960
they want to go down that road

907
00:34:47,200 --> 00:34:51,599
so one of the things we say those john

908
00:34:48,960 --> 00:34:53,760
deere screens that i was showing you um

909
00:34:51,599 --> 00:34:55,520
they fetch thousands they go for

910
00:34:53,760 --> 00:34:58,640
thousands of dollars because people

911
00:34:55,520 --> 00:35:00,480
actually like the they like stuff that

912
00:34:58,640 --> 00:35:03,520
they can get in and fix

913
00:35:00,480 --> 00:35:05,680
old tractors without any tech are are in

914
00:35:03,520 --> 00:35:08,240
high demand because they can get in and

915
00:35:05,680 --> 00:35:11,280
then they can fix stuff themselves

916
00:35:08,240 --> 00:35:13,839
so i think that that right to repair um

917
00:35:11,280 --> 00:35:16,480
that right to repair movement

918
00:35:13,839 --> 00:35:19,119
but also people wanting um real

919
00:35:16,480 --> 00:35:22,320
understanding around their data and

920
00:35:19,119 --> 00:35:24,400
information um is is really going to be

921
00:35:22,320 --> 00:35:27,119
going to be fundamental and if you don't

922
00:35:24,400 --> 00:35:29,040
take that approach then tools will lose

923
00:35:27,119 --> 00:35:31,440
trust quite quickly

924
00:35:29,040 --> 00:35:34,240
and once you lose trust within

925
00:35:31,440 --> 00:35:36,560
that that community um you're really

926
00:35:34,240 --> 00:35:39,359
going to struggle to to gain any

927
00:35:36,560 --> 00:35:41,760
traction uh from from then on um which

928
00:35:39,359 --> 00:35:43,920
is why i think that uh that shared

929
00:35:41,760 --> 00:35:46,560
openness and and being really clear

930
00:35:43,920 --> 00:35:48,720
about what the different players within

931
00:35:46,560 --> 00:35:50,320
an ecosystem are looking for and what

932
00:35:48,720 --> 00:35:52,240
they're wanting to share

933
00:35:50,320 --> 00:35:55,280
but also then making sure that products

934
00:35:52,240 --> 00:35:57,920
are well built is really fundamental to

935
00:35:55,280 --> 00:36:00,800
ensuring integrity and trust within that

936
00:35:57,920 --> 00:36:00,800
entire system

937
00:36:01,599 --> 00:36:06,079
okay

938
00:36:03,200 --> 00:36:08,079
so there are no further questions if you

939
00:36:06,079 --> 00:36:11,839
have nothing else to

940
00:36:08,079 --> 00:36:13,599
say to wrap up we could end this

941
00:36:11,839 --> 00:36:16,240
how do you feel

942
00:36:13,599 --> 00:36:18,880
uh i don't mind i don't mind um yeah i

943
00:36:16,240 --> 00:36:20,720
mean feel free to give me any feedback

944
00:36:18,880 --> 00:36:22,720
um i was sort of conscious that i kind

945
00:36:20,720 --> 00:36:25,200
of didn't go into any of the

946
00:36:22,720 --> 00:36:27,520
sort of techy things about how we share

947
00:36:25,200 --> 00:36:30,000
some of the assets within mapbox and

948
00:36:27,520 --> 00:36:32,000
what it is that is occurring when we do

949
00:36:30,000 --> 00:36:34,640
that when we're collecting data and then

950
00:36:32,000 --> 00:36:36,160
sharing that data um so i could have

951
00:36:34,640 --> 00:36:37,760
could have made that a little bit more

952
00:36:36,160 --> 00:36:39,599
more geeky

953
00:36:37,760 --> 00:36:41,440
but any questions or if anyone wants to

954
00:36:39,599 --> 00:36:42,880
chat about any of this stuff

955
00:36:41,440 --> 00:36:45,920
it's one of my favorite things to talk

956
00:36:42,880 --> 00:36:47,680
about so always happy to chat

957
00:36:45,920 --> 00:36:49,200
okay that can be done on the post chat

958
00:36:47,680 --> 00:36:52,079
channel

959
00:36:49,200 --> 00:36:52,079
post talk channel

960
00:36:52,400 --> 00:37:00,119
thank you uh we'll end the session there

961
00:36:56,079 --> 00:37:00,119
okay thank you bye