 Okay, moving on to our next speaker and I'll do this very slowly while he gets mic'd up outside. Andy Chambers, it's hard to know how to prioritise the work he's done to introduce him but if it helps Andy's talking about making the most out of the range of available remote sensing tools. He's managing director at Airborne Logic and has a particular interest in embracing agri-technology for sustainable food production. He is also a specialist in water management and is using cutting-edge technology to assist land managers to better understand and also to adopt sustainable land management practices. I could go on for much longer but it's probably more interesting to hear it from him. Please welcome Andy Chambers. Thanks Matt, really good to be here and one of the things I wanted to do first of all before I get cracking into trying to get on to that performing curve that Ollie talked about was actually acknowledge the work that Ollie has done as part of the Collaboraculture project. He's put his heart and soul in the last couple of years into really developing that through and I think in combination with the support from Perza State, Government, Wine Australia etc. we had the last session on Collaboraculture yesterday down in the city and yeah it kind of almost felt like it was a bit of an end of a journey. It's not because I think it's really the start of a new journey but it was really really good to sort of get to that point of seeing we're now talking about how we can get data into a consistent format in that industry for wine but it goes for all of the industries in horticulture and viticulture whatever it is that we're talking about from a crop perspective that needs really really good consistent management of data behind it and that's our challenge. When you speak to some of the guys in it the University the machine learning guys they will talk to you about the importance of data for the future and I just don't think we're quite ready to understand exactly what that means in terms of the importance of that data but we're seeing some insights into that in companies like Oli mentioned with Facebook, with Google that have all had this ability to capture huge amounts of data and use it to their benefit but not necessarily for the benefit as us for all of us as a community so we need to be very mindful about that and how we put that so yeah big thank you Oli and I think you know if we can all just really really acknowledge the work that the people like Oli have done in our collective industries it's yeah really really good so thanks mate awesome so yeah making the most out of range of available remote sensing tools it's actually not what I'm going to talk about but there'll be snippets of that all the way through it it's actually about a journey it's about the experiences that some people have had in looking at mapping and looking at data and working their way through the relevancy of that to as Oli mentioned create solutions to problems on farm and it's fascinating when you look at all of the amounts of imagery that are available out there and you start asking these questions about what are we actually using that for so I'll run through in a minute a bit more about what remote sensing means for those people that may not have even come across the term remote sensing before so I think just not get too too ahead of myself a lot of what we talk about in remote sensing is just building resilience Oli mentioned the sustainable wine growing Australia program and really underneath of that you don't get too far if you don't have a base map and so building resilience whilst it's not all about having a base map it's about having a start point it's about joining the sum of all these things together and I'll show you a little bit more about that as a pathway to you know I guess what we could have only dreamed about some time ago the amount of detail that we're now able to see through imagery to give us deep insights into some of the problems that we have so a little bit about what we do from a perspective of using drones accurately we'll talk more or I will about how we're drilling right down into this area of remote sensing that is just getting down to smaller and smaller pixel size but so what you know if we drown ourselves in all of this data and we can't actually physically use it well what's the point so we've got to find this pain point in amongst all of that to to work out what those deepest stresses are for for a grower so remote sensing I reckon I've skipped a couple of a couple of slides there but that's cool we'll keep going really remote sensing comes in many forms satellite imagery drone imagery aircraft imagery and we've got some great supplies here that's essentially showing you what they can do in the tent next door as well as many others that can't be here as well so just a little bit of background satellite imagery has been around for a long time there's a wide range of it around it's a little bit of insight into where some of that can come from from a Google Earth perspective I'm not sure that auto slides gonna work but it does have a live link but that's okay what that was really showing was the emergence of pivot irrigation out in the deserts in North Africa and that growth over time and this is the beauty of some of the imagery that we have available to us is that we can actually compile a story over time so regardless whether that satellite or in this case fixed wing again we've got lots of really good providers series here as well today and others that we're bouncing around with having a good different issues and different problems they've all got deeper capabilities in fact some of the guys I was having a chat to yesterday have put this whopping great big camera on a on a big jet and it's ridiculous this is not actually a it's not actually an aircraft it's a camera with a jet on it it's crazy and they're starting to use that for really high definition imagery as well so there's all sorts of ways of capturing imagery remotely drones obviously the area that we do a bit of work with comes with a range of different approaches some great images off the site here at Lockston and thanks for Rachel who did a great job of getting her drone up above ours and getting a bit of a deeper insight into some of the deep spectral imaging around hyperspectral that we're having a look at onsite here with citrus so really the thing here is is well what what what problem am I trying to fix and Ollie touched on this is and what are the things if I'm thinking about using some kind of remote sensing technology do I need to consider when I'm using that type of imagery what are the things that might come into play might it be cloud might it be the weather might it be the repeatability of a excuse me of a particular cycle of satellites for instance or is it simply I've got a massive area to do and I'm not going to do that with a drone we had a crew out in Western Australia last week on 1500 hectares of land doing spot sampling with a drone because that's all you can do over that large area so really trying to tease through how you bring together the combinations of things that might give you deeper insight into the problem you got whether that be satellite aircraft or potentially drain or anything else that we might come up with in the future as well. So what's driving decision making on farm I think this is a really important story I'm not sure whether this video is going to work straight up but there's some videos it's John I think embedded them so we'll see what happens if not we'll just work on with it but this is a little story about one of the growers that we work with up in the clear valley who is really trying to define his problem. Yeah we've gone through a period of you know very dry dry seasons we've lacked the water that we've needed and so it's become very important to try and get our production up to a level where we remain viable. So the key word there is viable what's affecting him is very much this water issue about trying to understand the uniformity of irrigation understand the complexities and variability on his farm but that key problem for him was variability in water and it's a real pain point for him and so we've kind of been working through well how do we identify a little bit better some of those those problems on the farm and this is some of the imagery that we've been working with him to determine the variability of canopy down to the pervine level. So this is where some of this starts to get super complex in detail of looking at the pervine level and you might say well is that too much information for me but it's about how you drill that information back out into something that's usable and in Rob's case what he's done here is to look more critically at this type of information to help him do some work on retrofitting his irrigation system to respond to those problems that he's seeing on his farm which essentially driven around that huge variability that he has in some of these blocks and getting those vines to better perform and being able to track this change over time. So both of those images. Yeah we've literally gone down and flown it at super detail four centimetres and really starting to be able to measure using machine learning and algorithms to determine that growth change over time looking more deeply at the irrigation aspects of what water use efficiencies and drilling into a bit of nutrition as well. So yeah cost decisions targeted actions. Absolutely. We've had to sort of reassess our management of the vineyard and our management without a lot of water. So we have to have that. We have to have a higher level of information that we can base this on. We're now starting to look at irrigation efficiencies and this imagery is actually showing up the poor state of our dripper systems and we've actually now on the strength of what's happening this year gone out and we're actually rebuilding some of our original irrigation system. So we're replacing drip line and main lines to get that evenness throughout the vineyard. So that now all becomes more important because now we have to start looking at if the water is going out evenly what else is happening what other things are happening. It's not just water. So again this technology is going to be pretty handy for us. So going back to the discussions around collaborative culture in getting the language of data right what Rob's been able to do now is start to pull in different information sources and align and layer those up over the information that we've put into a basic format of mapping and spatial imagery so that he can start to see the other things that apply. So what he was talking about there was he's saying OK we know we've got a problem with water. We know we've got a problem with this variability issue but there's other things at play. Once I've once I've nailed that system I know I've got my uniformity of distribution irrigation correct. I know I've got my pressures right. If I'm still seeing the variability what is it that's driving that. So I get my soil maps over the top get my get my nutritional information over the top and try and drill in and see what what are the key things that are driving those problems and enabling me to have a better opportunity to to address those other key factors about growth over time. So it's been really really eye opening for him on this particular block. So some of that mapping is obviously gone down to yeah just getting the basics right and collaboration I think has talked a lot about this getting the basics right is what are the defined boundaries. Are we talking about where does your block start. Is it the headland. Is it the corner post. What is it. What are you what are you driving towards and more latterly now with more of a focus starting to become on the potentials for robotics. We're seeing how important it is to get precise locations of posts. That's a real challenge for robots to come out into a field and suddenly find that they're all these posts in the way they're all these plants in the way. So how do we align in the midway between those posts so that that robot can go through and do its robot tractor with its implements can go and do what it needs to do. So all starts with this this level of precision measurement. So Rob Rob's an interesting character. He's got a very diverse business. He's got chicken sheds. He's got export hay and he's got livestock and meat interests as well. So he's seen a little bit of where this journey into to ag tech has come from and his observations are pretty interesting. We've got guidance systems and all that set up on Broadacre. And my real strong feeling is in viticulture it is a long way behind Broadacre. Broadacre is already adapting a lot of this technology. Certainly satellite technology and the rest. And whereas in viticulture smaller areas we need more detail. We simply need that real detail that perhaps they don't require to the same level. So really looking at how do we take some of that more traditional technology that we've seen driven by the Broadacre industry from a mapping perspective getting it into GPS systems variable rate applications and so forth. Coming into the more intensive horticultural systems and we're seeing a lot of that action happening in spot spraying around in the apple industry for instance. In being able to time those sprays reduce massive cost around spray applications and so forth. I think it's still got a little way to go yet in terms of viticulture and getting to that point. But the opportunities are clearly there particularly when we get down to this ability to see things in extreme detail. So sort of finally from Rob. These guys came into our lives and wanted to do some trial work with you know imagery and look at just develop from there. We saw the benefit and the biggest benefit to me is that very very accurate mapping we down to what is it a centimeter. A couple centimeters. This is a developing technology and if we developing with you we get the added benefit of not only being able to learn what you're producing we're actually part of it. This notion of partnerships is critical and it was really encouraging to have a few drinks and a meal with the tech community in the in the tent next door last night at Loxon hotel. There's a really strong camaraderie in this industry and I think this is the partnerships issue is as a grower clearly you want that partnership and I see really strong commitment from the providers that are here and in the whole agtech community to develop that partnership approach. I think this suspicion around give me a credit card number and we'll charge a 999 a month and you'll never see anyone. I think that's not what farming is about in my mind it's about developing these longer term relationships where we can unpack these problems. As Ollie said we make mistakes every day in this technology space. It is just moving so fast it's almost impossible to keep up with every single new thing that comes along and sometimes we make wrong decisions but when we're doing and testing it in partnership with growers that want to be on that journey we have a lot better chance of getting it right and then I think as a community as industries we all win from that so I think we feel really really positive about those relationships that we're building out across the ag community and I think all the providers in the room would probably have exactly that same message and it's super encouraging to see that and I think back to you know the early 90s in being fortunate enough to install a couple of the very early versions of the Sentex or moisture devices with Pete Bus out in a paddock in the in the Barossa region and yeah it has come such a long way in that period of time and it's really encouraging to see it developing out like that. So I was going to talk a little bit about some more about the accuracy issues I could come back to that because there's a couple of slides I missed earlier on that I just want to refocus on and Ollie touched on this about the connections into things like sustainable wine growing Australia and I think that's really important. Our backgrounds for much of the last 20 or so years has actually been all about this which is how to think in systems and it's about sustainability and it's about some of things that are driving overall thinking and there's huge confusion out there when you look at the total amount of tech that's available and it's really hard to find your way through that sometimes and work out what's the right solution for me. It's a busy space and so I come back to this notion of finding the right partnership. What am I looking at? What am I trying to find through in the way of a problem? But some of those things really ultimately drive into this slide which is it is data driven. It is about being able to compile an overall story and something that you can trust that gives you this change over time picture that you can help shape your decisions around and that all fits nicely into this whole plan do, check, act, sustainability, framework, change framework that's been around for 40, 50 years. There's nothing new in that but it definitely influences how we make decisions and we you know there's a lot of I guess issues in there that easy things to say. The age old adage of you know you can't manage it if you're not measuring it. Well it's so true and this is the data driven experience that we're all going to continue to have now in a massive way because it is just going at such a fast rate with that and in I guess in this context of we're dealing with a scenario that we haven't really dealt with before. We've dealt with elements of this before, pandemics a long time ago absolutely but we're dealing with this in a cocktail of a very different economic climate at the moment on the back of recovery around the pandemic and the specter of climate change which regardless of how you feel about that is driving a lot of things on farm in a way that we just simply don't yet understand and so having this information and this clarity of data sitting behind us is going to have you in a much better place compared to trying to second guess what's going to happen in certain situations. So yeah you know resilience building for all of our businesses regardless of what type of business we are is fundamentally about that diversity and developing really strong resilient systems and information and spatial data is just one of those ways to get that base in a really good solid foundation to start off with. So just back through to where I was going to round out and leave it open for a few questions is really just I think wanting to come back to this partnerships issue yes and this level of detail. Rob's disappeared on me but it's okay it's really what he was trying to say with these these insights from an agtech user really knowing your problem knowing how to tackle and use the right tools for the job critical understanding what it is that you're going to spend on this type of journey with regardless of whether it be a spatial and remote sensing type information but any form of other agtech solution and really understanding how you're going to put that into place. I think number six is really really critical. I think when you look at all of the issues out on farm including mental health one of the things that we do not do well here is in the farming sector is value our own time and we've got to get better at doing that as well and so that should be considered in the return on investment. If I'm going to put in a you know 100 hours 120 hours in a week then you know really what does that mean in terms of the overall benefit of my farm have I really worked out what the what the impact of that is on my life and on my farm and the longevity of all those so I think that's a really critical issue to consider and you know finally I think it's just this this absolute picture because we're adults and we work in this kind of spatial and visual way is this change over time issue of being able to really look at things from 5, 10, 15 years ago and actually fundamentally just see that change and it can be quite stark that image previously from North Africa with the pivots was a really good example then sorry we didn't quite get that up there but yeah I think there was something like two and a half thousand pivots in that image when it came through to 2021 you go back 15 years ago there was nothing there so that's you know that's extraordinary in terms of that change of landscape over time and today's not really a talk about carbon but there's a lot of work happening in that space above ground carbon monitoring that we're starting to bring in more of these spatial techniques to understand what that change in landscape looks like and the pastoral regions are no stranger to being able to have a look at that change over time and understand what that means from a farm longevity as well as just collecting baseline information so that's probably pretty much it from me I reckon I've maybe caught up on a few minutes there was a race through that yeah any questions Thanks Andy for that presentation Mike Krause from Planet Profit Agri we're sort of set up to help farmers look at their profitability by patch or by variety and I keep looking at those images that are developed by satellite and drone and saying okay what can we do with that to help farmers to you know say okay is it more investing in irrigation is that the problem how do you determine from those images whether it's an irrigation issue or it's a nutrient issue or it's a soil issue or it might even be a weed issue and then sort of forward projecting if we change that color from green to red what does that mean from a productivity perspective yeah great question we'll probably run through a few of those images over the afternoon in the in the tent next door generally when a lot of those maps are presented they're presented as a specific issue so the one that I showed up was actually canopy variability so we're we're measuring the the change in canopy over time so particularly useful for things like utipa dieback in vines and understanding how that's creeping in with more gaps reduced cordon actually growing anything productive so it's a measure of the productive capability of the vineyard other of those colors potentially around nitrogen deficiency or other macro nutrients that we can specifically show the variability in those in those nutrients so it can help guide action and decision-making around nutrition and then specific algorithms that have been developed for weed identification so we can actually fly through areas now and say that is weed x that is weed y and that's really useful from monitoring is that becoming more problematic is that particular weed growing in significance or where is it so that I can go out and spot spray it so we're seeing some awesome development in that area now where we've got spray units going out and targeting selectively the actual weed problem and form massively reducing the amount of cost associated with those herbicides so it's about presenting the information in a format that's directly linked to that ROI any other questions you might have nope looks like you're off the hook round of applause please thank you thanks Andy