 The Agtec demonstration that we have here at Lockston is mostly centred on two particular patches of planting just to make the best use of what we've got here in terms of crop types to demonstrate the Agtec that's being demonstrated here at Lockston Research Centre. So this is a patch of citrus and then there's a patch of vines that we'll walk to across the other side here in a minute and basically the companies demonstrating their tech are able to either put hardware or if they're doing non-hardware type activities, focus their activities on these two blocks so they can demonstrate the tech in either citrus or vines or both. We do have some equipment also at the Armin Centre of Excellence which is about 5Ks north of here towards Berry. A couple of the companies have some of their tech there as well or are taking imagery from that property as well. So we can kind of cover citrus vines, almonds. That's the main crops we have on the Research Centre. We have small bits of other things and we grow some industrial hemp but that's not here for very long. But some companies have expressed a bit of interest in that as well so we might see where we go with that. So I guess there's a few steps to what's happening here and I'll try and put this into some sort of logical context. One of the first things that we've had to do here because this centre has been here for a long time but it hasn't had a lot of money spent on it in a little while. So we have upgraded the irrigation control system and over here we've got the towelgill tower, one of a number of nodes where we are connecting back to the main controller and we can automatically control the irrigation which we had a system here many years ago which fell into disrepair and hadn't been being used and everything was being turned on and off manually. So Peter's pretty happy to have this up and running and he can actually do things automatically now though we're still having issues that are related to our irrigation system, not the control system. So things that blow out when it's turned on and suddenly we've got to shut everything down and start again. So a few issues there that we're still working through but that's pretty key to some of the tech that we're demonstrating to be able to turn things on and off automatically rather than having people running around doing that. Then we have a range of different tech being demonstrated and some of that is hardware and I guess I wanted to talk about that in terms of point source and then wider area remote sensing type tech and then other tech that's about doing other things. So what we have here and most of the stuff that you'll see here is also in the viticulture block but what we have here is a range of different soil water monitoring technologies and they are obviously point source. So we're just measuring in this row under these trees and we've got, so there's a crop X which is a capacitance probe is the blue mushroom arrangement there. Next to that is GB lights on the green brain system and the tevatronic tensiometers are the little green boxes there. So they are electronic tensiometers, there's two of them at different depths. The green brain I can't remember how many depths, I think it's four, three, Dominic's given me the word. So we've got three different types of soil water monitoring point source devices here. Sentech, so all of these are also in the vine block and Sentech is in the vine block as well. So we've got all of those side by side so people can come, they can pull up the data, have a look at it side by side and see what the data looks like from the same block quite close together with the different technologies. So to help people to be able to compare and understand, see how they find that data to look at and whether it makes sense to them, which one they think might be more useful to them. And we've got tensiometers and GB lights which are soil water tension. We've got the crop X, we've got Sentech which are soil water content. There are two different things that are related, I could give you a whole story about that. I won't, but if anyone's interested. But that gives people pretty much the full range of different types of soil water data that you're likely to come across. And so they can look at that, I can talk them through that if they want to come and have a tour and talk about the differences, the pros and cons, advantages of doing it one way or the other. We also have here the arable mark 2 which D3 AG are the Australian agents for. That is a combination of a mini weather station. So it's measuring temperature, humidity, it does rainfall. It also has a multi-spectral sensor which is looking down into this tree on the right. It's just giving you one reading but it's giving NDVI and chlorophyll index. Now in a citrus tree that's not changing much. It probably is more useful I guess in an annual crop where you're planting, you're starting off with very low vegetation in the sensing area and as your crop develops that increases and then saturates as it covers the ground. Here it's just really sitting there to demonstrate the technology because we don't have a lot of annual crop here. We might pop it into the hemp ladder and see what it does. So that's another point source measurement but it's measuring a number of things right here in this block. So that's one level of tech and all of these, all of these the data is going up to the cloud and then automatically we can access that. You can go on to the AgTech demonstration site on the PERSA website, go to the Loxton centre farm, pull up any of these and see the data there and visualise that, view it, compare it, have a look at what's there. We might, I might not say more here, we'll move over there and I'll talk about some other things but if you've got any questions about what I've talked about so far, everyone's stunned. To access the data on the PERSA website as you said, do we need to log in? Like username and password? So on the PERSA AgTech website, some of the data sites there is a log in but the information is on the website to allow you to log in. So there will be the username and password on the PERSA website and then when you click on the link, get to the source website then you enter that information to get in. So some of the companies have made that easy in the sense that you just click on the link and you go straight there but most of them you have to enter the username and password. Okay, if we don't have any other questions we might walk across to the VitiCulture block and I'll talk about some other aspects of the tech that we've got and we're also going to have a presentation over there about the VitiVisor programme which is also happening here using the same VitiCulture patch and kind of parallel with what we're doing with AgTech demonstration. So Hans Leder from Penley State, just a question from coming past that weather station there. Just in terms of measuring cloud cover, I know weather stations can measure light intensity but is there any AgTech solution? Does anyone here today know if there's an AgTech solution which can actually categorically replace that burnt paper strip to give us a reading on when there is cloud cover? Yeah, the astronomers have sorted that out. What you do is you take an infrared sensor and you point it at the sky and measure the temperature of the sky and if there's no clouds you get the temperature of outer space or a big large sub-zero number and as soon as the cloud comes in you're actually measuring the temperature of the cloud so there's a formula you can apply and it will tell you heavy cloud, light cloud, no cloud. There are also sensors that will give you incoming solar radiation amount which doesn't actually give you cloud cover but it's obviously the more cloud you have the less incoming solar you have and there's a curve of what you expect through the day and you can infer from that. So at the Citrus site we talked about point source measurement and mainly saw what I'm monitoring. I forgot to mention that Aka primary solutions are about to install another set of sensing material over there. I just checked on the way past and it doesn't seem to be there yet so it's on the way. It's TDR, okay. So that's time-demain reflectometry which is slightly different to capacitance but it also measures your saw-water content, not tension. So another thing that we have just a couple of here is Farm Bot with measuring now normally they do levels in tanks and that sort of thing. We don't have tanks here but we've got a sensor over here on the video visor block which is measuring pressure and flow in that valve unit. So basically most of the time it's measuring nothing and then when the irrigation system runs it gives us the pressure just after the valve it gives us the flow rate after the valve and we can see that yes the system is running it's running at the right flow rate for the block or no it's gone berserk because there's all these hoses come off or whatever and what the pressure is that's running through the system. So that's another point source measurement and as I said in here and if you want to walk up this particular row here in row 17 we've got another set of saw-water monitoring technology, mostly the same things that are over in the citrus block and down in about row 13 I think is the Sentec and then there's some other gear in here that is for the video visor program which is more developmental tech other ways of measuring or new technology to measure the same things or different things and Bradley is going to talk about that shortly about that and that's kind of the step back from where we are. The ACTEC demonstration is really about demonstrating existing tech the video visor is doing is developing some new tech and other ways of integrating information so we've got all that point source data it's probably something that in my history was very familiar I guess the next step to that is then putting some spatial data on top of those point source data points and seeing okay so we've got a sensor here it's telling me this is that representative of what's happening across the rest of the block so we have a number of companies that are providing imagery so we've heard from Andy this morning so airborne logic are providing us with drone imagery we've got Ceres I'm never sure how to say that we've got Scott over here so that's airplane born imagery equipment they do regular flights both here at the arm and center of excellence and Scott asked me to let you know that if you want to give him so Scott put your hand up if you want to give him your email address he can give you notification emails or put you on the list for notification emails when there's an update of the imagery for here so you'll be able to then click on that link and go and have a look at the latest imagery we also then have some satellite imagery and I'm just going to use my cheat notes here so green brain also have imagery now in their partnership with conciliate technology thank you and deep planet are also providing imagery of either this whole property or specifically this patch and the citrus patch so you can look at the point source, soil water data, you can look at the imagery you can see how evenly things are happening across that block or whether really the point source is not the whole story and it's never the whole story and compare those different data sources on the aerobotics sorry aerobotics are also providing some imagery now some of those companies are not currently live on the website so some of that's still in development and will come online in time so this is a developing story then the agtech demonstration here will continue to grow so just because you've been to the site once and had a look doesn't necessarily mean you've got the full story Peter talked about the supplant system which is autonomously running irrigation for us so that block is across this way behind the vineyards there's a small block of the citrus you can see the citrus across here just a small block about I think it's 0.8 of a hectare or so that we're actually running that system on it's kind of a bit of a case of well we're not sure how that's going to go so here's a little patch you can use if you stuff it up it doesn't matter but that might just be my cautious nature but yeah that's we're doing that on a separate block so that's a separate exercise it's not going to interfere with any of what we're measuring here and plus Peter's using all the gear that's in here to manage the farm as well as having point source data having spatial data one of the things Peter talked about this morning and Ollie talked about and Andy talked about was the integration of all that information now some of that's happening on particular platforms so green brain is one example where we've got point source data and spatial data together on the one platform and then there's the next level up is pulling information from a range of different sources and ideally any data source you've got that's the ideal that's the difficult one because not everyone is talking to everyone else but that's the that's the holy grail I guess of Agtech is to pull all the data sources together into one place and present that data interpret that data and help you to make decisions so Swan Systems is one company that does that quite well and they're talking to most of the to talk to them about getting APIs to be able to access that information and pull it in and other companies as well that they're talking to so that's one of the platforms that we have demonstrated here and again on the website you can go and have a look at that the Swan Systems platform for this site the gold tech irrigation controller is a key part of that and basically the way Peter's using it at the moment is to take the recommendations out of actually I'm not sure Peter's over there are you using Swan or are you still making your own decisions at the almond centre of excellence Swan is actually being used as the platform for managing irrigation so there's a range of different tech there measuring both soil water monitoring and also plant based monitoring and the Anthony Wachtel who's the farm manager out there is actually pulling that all into Swan and then using Swan to actually send his irrigation schedule to the controller and so that just it's not a fully autonomous system I believe it can be but at the moment it's being used basically to give recommendations Anthony will tweak that if he feels he needs to and then upload it to the controller and away it goes AgWorld is another technology that has similar aims trying to pull data sources together integrate them and present that in one place we also have a number of technologies here that aren't in that sort of irrigation space so yes we irrigated horticulture so a lot of stuff is focused on irrigation but there's all sorts of other tech that is useful in managing an orchard that isn't necessarily directly related to irrigation so some of the other companies we have involved safe ag systems in their tech on site not so much on site here in a practical sense but safe ag systems is actually being used at the Armin Centre of Excellence as their safety system and that's about logging on as you arrive being able to see alerts for hazards and knowing who's on site and when people have arrived or gone on site is another company that does something similar and you may or may not have logged in with on site as you arrive this morning or you have the opportunity to do that in the tent later on see how their system works. Fielding is a company that are planning to do some demonstration here and COVID has got in the way because they're Victorian based so they're still trying to get here Fielding is about monitoring equipment movements and operations sensors on tractors and sprayers and slashes and so on and that will be put in place in time so that we'll be able to monitor where equipment has been moving around the property some of what we saw this morning with making sure that every row has been sprayed and that sort of information will be part of that. Taglog Australia is more about monitoring people and what they're doing and what it is in terms of harvesting or pruning or whatever operations people are involved in. UFG group are doing bird management and they're going to be installing a demonstration here hopefully and they would have been here today and showing that except that they've had some personnel issues. I'm not familiar with exactly what's going on but they weren't able to make it today. Moby Shear is cordless equipment including pruning equipment P2P Mike here I'll let you say that in the mic. You'll hear me profitability so we're the next stage on from your accounting software looking at what patches are making what amount of money for you needs to be pulled up and also forward planning so if you're pulling old plantings out putting new plantings in what's the finance look like in three or four or five years when that productivity comes back in. Thank you and also a company called Precision Technology so we've got a range of different technologies being demonstrated some with on-site hardware some not but a range of different technologies and solutions for growers and that's only going to grow with time we trust and so the way that it's set up is that there's a web version on the PERSA website and anyone can go and have a look at the data or the demonstrations but I'm here as a local contact for people who want to come and actually physically look at some of the equipment or talk to somebody who has a bit of an overview understanding of what's going on and walk people through some of the options so I'm the contact my email and phone number were on the presentation this morning and on the website and so if any growers are interested in checking out what's going on I'm the contact and we already had numbers of groups come through so we had a viticulture course come through and have a look recently various other groups all these groups came but I've also had growers ring up and say I want to come and have a look at such and such because I'm considering that and I really want to understand how it works and what it does so that's really what this is about and really just demonstrating and giving people a chance to come and have a look Brad Knot a chance to talk about the vitiviser program which is well I might let him introduce it might be simpler than me trying to tell you what I think it is so Brad. Thank you Mark Hi everybody my name is Brad Knot and I'm the project manager for vitiviser I have here today with me Wayne from the viticulture team and over the back there Ryan who's in the ground based vision team. Vitiviser is a three year five million dollar research project funded by Wayne Australia University of Adelaide and Riverland wine so vitiviser is known in the Riverland region as hands-off hectares that's the program and the project itself is called vitiviser so vitiviser is a research project aimed at lowering the cost of production for Riverland wine grape growers it has its genesis here and it has its genesis with trying to solve the pain points of wine grape growing in Riverland so what is it? It's a digital platform and it's a ground based vision system so I'm just going to briefly explain a summary of those two items and then Wayne's going to very quickly talk about the data collection and then maybe if there's questions about the ground based vision system we can refer that back to Ryan back in the marquee because we've already set up some of the prototype machinery there so this research project was designed to fix the pain points of growers we spoke about pain points earlier today some of which were about data, data integration getting rid of all those multiple apps that you're using to make an informed decision and having them all in one place so vitiviser has three distinct layers data aggregation is one, number two is a situation on awareness layer and then the third layer is about prediction and advice so the first layer, data aggregation is about getting all that data into one place from those data sources that people like Andy spoke about this morning and Olly, getting them all in one place so that you can then have them available to make decisions and some examples of that are we have CIT irrigation water data connected, we have the MEA Rang sensors connected, there is series imagery we have water markets and we have a financial software called Know Your Numbers which again it had its genesis here in the river land so you've got all this data in one place that's the first step and that solves that pain point of having 12 apps to make one decision the next step then is once you've got it all in place is what do you do with it so the research project in combination or collaboration with CSIRO uses Vine Logic, Vine Logic is a biophysical model of a vine I think it's maybe 10 to 15 years old the University of Adelaide worked with Ciro to bring it out of the bowels of Ciro it's been made open source, it's been recoded and it really is the biophysical model under the hood doing daily yield predictions so now you have all this water aggregation data from your vine yard, Vine Logic is the research has been done to assimilate the data from the vine yard with Vine Logic to give you those yield predictions so when you're in your vine yard and you need situational awareness, VitiVisor will give you what's going on with my canopy, what's going on with my finances what's going on with my irrigation and both the past, present and future so now you've got a value-added situation with the data that you've been collected in your vine yard the next layer is about prediction advice so then you say okay with my irrigation intentions what sort of yield will I get with this much water and what will my gross margin be so now you start to think about trade-offs and what ifs that are happening throughout the season so that's the digital platform, the second output is a ground-based vision system so the idea was to have a box that you could do incidental capture, put it on your ATV or your tractor and as you're driving around you're collecting data that actually is being then used and fed into the system so the ground-based vision system team have been developing a box that has RGB and thermal image cameras with a GPS to RTK GPS they've also experimenting with LiDAR and also thermal imaging as well to plug into this box and stick it on your tractor so it's now been seen just as an extended data feed that can come into the VitiVisor system, the other part of this story is about adoption and commercialization, the number one barrier for adoption of AgTech in Australia and probably worldwide is the area of adoption of AgTech, is the actual adoption and the problem is really getting the behavioural change of the growers, fixing the growers pain points, delivering things that they need and one of the differentiators of the VitiVisor project is that these ideas and the steerage of the project has come from the growers themselves so we'll be one of the innovations that the VitiVisor project has realized is how do we actually get growers in the Riverland to adopt this technology well we're going to create a social enterprise that's owned and managed by the actual growers themselves and they will own the digital platform and they will own their data and they will have control of their own data so really there's a whole other paradigm, a whole other story about data ownership and data sovereignty and the real innovation we think of VitiVisor is not the technology because there's so much technology happening and it's very rapidly happening the innovation's going to be the vehicle by which growers adopt this technology so we can talk about that some more back in the marquee the ground based vision system is tracking in a separate adoption and commercialization path all this has been developed open source and so this technology can be harvested by industry by technology organizations either in its fullness or in part there's the data there's the IP there's the algorithms there is the actual hardware itself so we want to engage with third party technology organizations for them to possibly harvest this IP and make your own products and services better it's a very rapid summary I'm just going to hand it to Wayne who's going to very briefly talk about the extent of the data collection that we've been collecting data for this project my role with the project is I'm the only pair of sort of local hands involved so these two patches I walk through weekly whenever there's any green on them with an iPhone on a selfie stick and I'm the robot at the moment that will become the automated vision collecting box that you'll bolt on your tractor so I'll walk through these patches, photograph every individual panel and so I was in here Monday and then I go online and upload a thousand images from this area a couple of gigabytes of data go up in the cloud that gets worked on by machine learning programs and so forth to sort of interface with the algorithms developed by the video canopy application you can get on your phone that comes up with a plant area index which gives you sort of a bigger map of your patches so that data goes up weekly for both of these patches and multiple others in the riverland from Blanchetown through to Murtho, it goes up in the cloud and gets processed and you can actually see some of that data, you can see the data for here on the video visor dashboard at the moment to support that at regular points through the season I support that data with physical counts so I'll do bud counts, shoot counts, bunch counts influence counts, we've got 10 test panels in each of these sites and at each of the other sites so those regular intervals at those stress points of the year or those particularly important points of the year I'll go to each of those sites and do all those sort of counts and the data that is taken from those set images that I take when those data points are collected is used by the vision team to refine and improve their machine learning programs and stuff so that when I do the weekly walk through they can come along and say ok well plant area index at the bottom of this patch decreased last week and that's because a frost went through the patch and wiped out the bottom two rows which you might have noticed on the way in down here so you can start to see those sort of things popping into your dashboard for your particular area on a regular basis and as the machine learning programs get better and better informed by the data I collect and as you get closer and closer to the vintage or the predictive capacity and abilities of the system improve to refine the forward predictions towards vintage and harvest on a weekly basis or whenever you're driving through the patch and collecting that incidental data at the moment the vision box that Ryan can show you this afternoon is based on a Raspberry Pi just has RGB sensors in there and of course good GPS data that's intended to be expanded and looked at further in terms of better precision on the GPS and other UV IR sensors as well as mentioned the possibility of lighter but at the moment I'm the robot that walks through the patch and collects this all physically and uploads it weekly. Ok so when we get back we're up to the marquee for a quick panel session before we get to lunch.