 Good afternoon, everyone. I hope everyone had a good lunch and not too much food coma out there, but I'll try my best to keep you awake and engaged. So, yes, Andrew Coppin, Managing Director of FarmBot, we're one of the old ag techs around. The company started about five years ago and it's a case of, for me it's a case of I liked it so much I bought the company. I was an early stage investor in the company. Telstra asked me to have a look at it because for my sins I grew up in the Kimberley, chasing bulls around on horseback and they said, Coppo, you must know something about this. Can you please come and have a look? So, after a 20-plus year career in corporate finance and funds management, I'm now running a really exciting ag tech, such as my conviction that this is a really, really interesting space. So, I'll tell you a little about our story today, let you know a little bit about where we're going and also happy to talk about the broader adoption of ag tech and how I see that as one of the, you know, veterans in the ag tech sphere, not just because I've got gray hair and I'm also one of the founding directors of the Australian Agritech Association, which has been set up to try and help people better navigate ag tech, both from the investors coming to Australia, don't know where to go and the farmers coming off the paddock. It's hard to navigate ag tech, so it's so great to see a good turnout here today and the interest being so high. So, our proposition at FarmBot was that, you know, which won't surprise any of the primary producers in the room and shouldn't surprise anyone, that, you know, water is the lifeblood of all agriculture. Nothing happens without it and yet in some ways we sort of treat water with a bit of contempt, maybe because it comes from the sky or under the ground and there's this sort of perception in some areas that it's free, but we decided, hang on, what if we really manage water closely? What would we know? And surprise, surprise, five years and millions of data points later, what we're working at is when you look at the granularity of water as an input in agriculture, you can learn a lot. A lot more than just driving up to the tank and going, have I got water or don't I? Or, you know, when I've got it, I won't worry about it and when I haven't got it, I'll pray for it, which is not a great strategy I've found. Because, you know, every farmer, I've never met a farmer, if you're the one I haven't met yet, put up your hand, that his first thought of the day isn't about sort of weather and water. And, you know, with good reason, if you had a million dollars walking around in the paddock or planted in the paddock that would die without water, you should be pretty focused around it. And what we found is that most of the, where are we going? Most of the alternatives to managing water are pretty antiquated. You know, right on any given day in Australia, there's 10,000 people driving around to check water that probably in many instances does not need checking. Now, I can hear the old school saying, yeah, but we do a lot of other things while we're going around. And that is true. We are not advocates for get rid of Bob the Borman. We're advocates for allocating resources where you need to, when you need to. And also for gathering data in real time. Unfortunately, no matter who does the ball run, there's nothing to say that as you're driving away from that tank that the pipe doesn't burst an hour later. We don't know these things, but with the adoption of new technology, we can start to remove the costs of the huge cost associated with monitoring water and also put in far better mechanisms for gathering real time data. And that's that's been our thing is to look at a cost effective data rich solution that can provide certainty. And the thing that we hear the most from our customers is that we're giving them peace of mind. People said, oh, you know, copper, you're gonna be selling peace of mind to people. I'm like, I don't know. Why would we be doing that? And what we've learned is there's so much angst and stress. The primary producers carry around worrying about water because they can't see it and they don't know what's happening when they're not there. Arguably, there might be some people in the room right now who are wondering what's happening in the back paddock while they're in town today. So we created a device. It's the one you see on the tank there called the Farmbot Monitor. And it's the it's the core device in our portfolio of Internet of Things devices. It's it's real time. It gathers data on your water ecosystem and alerts you of changes in your water ecosystem. And by that, I say that the machine learns how the tank and or dam or turkey's nest operates over time and gets progressively smarter in forecasting what should happen next. And if what should happen next isn't what happens because the water falls too fast, goes up too fast, or does something that it doesn't normally do, it can send you an email or a text message telling you exactly what is happening. So to this end, we've now got people that are waking up in the morning all around Australia checking 10, 20, 50, some 100 more watering points on their phone or on their laptop over a cup of tea. And then they're allocating where their resource, their human resources should go and what they should do, which is a very far cry from what the old school method is. So you know, obviously providing them with complete certainty, better decision making for forecasting about what I'm going to do and where I'm going to move things in the future. And you know, relative to driving around, it's a ridiculous cost saving for for most. So we did this, you know, pragmatic solution, which gets us on to the farm and starts the conversation. And a lot of people said to me copper water monitoring, I mean, hasn't that been done to death? And I'm like, Well, maybe, but you know, we've adopted an approach of consumer electronics. If we can't put it in a box, send it to someone, have them install it on their own in five minutes. And then it works reliably for for all of a foreseeable future. And we say our device is good for seven years. Then I don't think that has been done before because previous iterations of this require directing towers, technical support and a whole bunch of other expensive things that only came after the fact. And our view is where our relationship starts with our customers, the day they install the device, not it doesn't end that day, it starts that day. Because to us, it's all about the data. It's all about what information are we learning about the the water ecosystem where we can serve up actionable insights to the farmers that are using it. Not just things like, Hey, your pipes burst at 1130 on a Friday night, which they do, it's either Friday nights or birthdays, I'm not sure. But you know, the most inconvenient times when these things happen. And, you know, that that's obvious. The the weight losses that are incurred from animals being off, water and getting stressed, and all those obvious things. But we're also now looking at large data sets where we can start saying, Hang on, if this happens, event X happens on Wednesday and event Y happens on Fridays, 98% of the time, this other event happens on Sundays. So we're actually data mining huge pools of data about water ecosystems, which will lead into the much sort after sort of precision grazing outcomes that everyone's been talking about for a long time, but not delivering. And I'll talk more about that in a minute. So we've now got this this chart was put together a few weeks ago, it's now redundant already. We've got over 2000 units, we're selling about 250 to 300 month at the moment. And so we're growing strongly. I think today's figure is closer to two and a half thousand, all around Australia. And we've adopted a sort of satellite first communications view. So whilst we are comms agnostic, and we have devices that use satellite or 4G or MBIOT, we think the best solution for us more often than not, and also the future of where this is all going to go, is going to come from the sky. So we're probably not massive advocates of setting up huge arrays and towers and other things, because you've got great firms out of Adelaide here, like myriota and fleet, and others all around the world that are going to throw up lots of low earth orbit satellites that are going to give us access to real time data, and all of that infrastructure in all probability will become redundant and not the best use. I hasten to add there are some areas where it's appropriate, but for what we're focused on, which is water and livestock, we have yet to see a business case where it makes sense. So typically, a client of ours will log in in the morning and they can look at multiple different views. This is a typical property where they've got a number of different water points and at a glance, they can just look at how much water have I got. Now, if any one of those were in an alert mode because there was less water or falling water too fast or whatever, it'd be red and then they can drill down and click through on that and drill down and look at it. Other people like to look at charts and get a feel for what's going on in their water ecosystem and they can drill down on all of that, other sorts of insights. And out of this comes things like draw down times on bores. We're picking up information that where many users are sucking air on bores and running pumps, which means wear and tear on machinery, or alternatively on the far side there, you can see, you know, we clearly knew that this water ecosystem was going to run out. And, you know, this is not something that you can just know by driving to check water. I mean, you get there and you look at it and you go and we're like, hang on, in three days time, you're actually going to run out of water. So therefore you need to do X, Y or Z. And again, this is sending alerts to the user. So I'll show you a short video from one of a typical scenario that we deal with. And then I'll come back to you. My name is Matt Wood. I'm the manager of Glyner Station, which is located about 150km east of Derby. We run 24,000 Brahmin cattle over around just shy of million acres. In a normal summer day in the north, an adult equivalent will consume 50 litres of water a day. So that means I'm chasing a million litres of water to live it into my troughs over about 90 different watering points every day. And cattle don't care if it's Sunday or public holiday or if it's someone's birthday. They need water every day, all day. We've been using farm bot tank level monitors for three years now and saved us hugely in a variety of different ways. Like a float falls off the trough and we lose a turkey nest of water or a beast breaks a pipe. We know there's a serious incident within an hour and we're able to respond before it turns into a drama. We're able to go out there and deal with it ASAP. And that's huge in this sort of scale of station. I've recommended farm bot to many neighbours and many friends. I look colleagues in the industry and I'll continue to do so. We found the service really good. Seriously cheap insurance on probably the most important part of our business and that's water for livestock. So as some of you may know, Glyner, that cattle station is actually one of Jumbuck's properties, a company that's based out of here in Adelaide who are great adopters of early technology. So that's a typical scenario but we have monitors operating in Tasmania, Victoria and right here on your doorstop in Adelaide. The issues are different for different people. Obviously the tyranny of distance, the amount of labour, the amount of fuel, the wear and tear on vehicles in a large cattle station operation is well known. But yet there's still people driving around checking a lot of water. What we find closer to home here is people wanting to just know what's happening when they're in the city or when they're on a holiday or when they've got staff out there checking water that are they checking what they should be checking. We've got heaps of examples that have been sent to us by our customers. This is one from in the Northern Territory with a user that had four units and he sent us, his name's Dan Lynch, he sent us his own assessment of, look Coppo, I've got four of these units and here's my P&L on the devices. I think they've saved me over 20,000 bucks a year from what I was doing in the past. So we started with this water monitoring piece, which obviously is still a huge challenge for agriculture the world over. But that's really just our sort of Amazon sells books moment. Jeff Bezos knew selling books to people would be, and if he could do it really, really well, he'd earn the right to sell books, lots of other things to people. And as we all know today, Amazon's one of the biggest retailers in the world. So for us, you know, our our solving the water management problem on farm is the beginning of a discussion, as I mentioned with our customers, not the end of it. We're not into just booting hardware and then not turning up. We're actually into here is a really, really robust reliable device. What else can we do with it? So we've now started on a customer led innovation program, which is building out our ecosystem to the extent that now over 53% of all of our customers have a rain gauge attached to their farm bot, which again takes the data from the rain gauge and again, zips it up to the satellite or to the 4G or MBOT, whatever the comms is, and sends it back to the laptop or mobile. We've got an increasing number of people now that are using pressure and flow monitors. I know that's a big issue here in South Australia where people are paying for water. And if they get leaks and they're losing water and be a very, very expensive pastime. So we're monitoring pressure and flow within the water ecosystem. We've got people using the device as an SOS button where they get their staff to check in when they get to every water tank, and then check out when they leave. Alternatively, there's a red panic button at every water tank that allows them to say, you know, I need help here now because we all know there's a lot of injuries and deaths in the agricultural sector. Not something we should be proud of, but we've got to do more to look after our people when they're working in remote areas. And some of the other really interesting things we're working on, which we'll be launching sort of mid this year, include the ability to activate pumps remotely. So to turn pumps on and off from your mobile phone when you've got an alert, to take a photo when you need a photo in real time. So when you get an alert to be able to take a photo of your trough or the however you set the camera up. And other electric fence monitoring and trough monitoring are all things that we have got in trial at the moment. Most of them on trial up at Ramani on the MLA digital farm project. Again, with all of those things for us, a key point of differentiation. And I'll talk more about this in your thinking about adoption of AgT is that all of our devices are real time. And so in our mind, you're not actually in the Internet of Things if you aren't real time. Some people have a different view of that. But if you think about it, you know, we need to know when we've got an issue, when we've got the issue. If you've only got, you know, a report once a day, and one day it happens to get missed, or it's one day at a set time. I don't know about you, but those newsletters that I get every day at a set time are normally become the last thing I read if I'm short on time. And given I've never met a farmer who has time spare time on their hands, I think the farmers need to know when there's a problem, when there's a problem, so they can act on it. So all of our things are real time reporting, not something that happens once a day. There are different use cases where once a day may be perfectly okay. But we've found when we're working with livestock, especially in remote areas, we need to know when we need to know. It's the same as if I just send you a photo every day at 8am, I guarantee you after a few weeks you'll stop looking at it, because the first few weeks there's nothing, you'll just stop looking at it. But when you do need a photo is when you get an alert that something's wrong in your water ecosystem, and you want to take the photo right then and there and go, oh yes, there is a dead cow in the trough, or the pipe has burst, or the float has been broken, or whatever the scenario is. So we think the adoption of technology in real time reporting is a really super critical thing. Where this all goes, but for us and for others is, and maybe the quest that everyone's trying to work out in this space is, what's the infrastructure for the internet of things? What's the infrastructure I need on my property to do all of these things? Because one thing is sure, you don't want seven apps to run the farm. You don't want to pay seven different people for what we call backhaul, the communications from the paddock back to your desktop. So people will have to make choices around what sort of technology they want to use. And again, it will be different strokes for different folks. It won't all be, satellite first won't always be the best option. It's the option we've taken, but we'd use the F4G and MBIOT and Laura in some instances. And in other circumstances, there'll be other more appropriate forms of comms. But we actually see farm bot as part of the infrastructure for IoT. We're collaborating with a whole bunch of different people in this sector. I think AgriWeb's presenting next door. We've got APIs with them, Maya Grazing, different people looking at soil moisture, a gate opening, a variety of different things where we can collate that data and again, send it back to the user in a form and in a format they want. Because the device is there, it's sitting on a tank, it's unassisted, it's on its own power for seven years. If it's transmitting to a satellite or to F4G, putting additional data in that and sending it to where it wants to go is not a complicated thing to do in most circumstances. So again, for us, it's about real-time data resulting in actionable insights. We don't use the word data on the farm because data, just plethora of information, I think everyone's got data overload. The only thing that's important is what is the data telling me that would allow me to run my business better? That's the only bit that people really want to know and we're mining all of our data to look at what can we learn from these water ecosystems that will be helpful for farming community to know and to act on that will allow for them to be more productive and more sustainable in their enterprise. You can't, unfortunately, just grow what you like with what you wish you had. You need to grow what you've got with what you've got and these sort of tools will allow us to do that. Which plays out to this big picture that's been talked about for a long time but as even without my farm bot hat on and my Agritech Australia Association hat on and all of you here today and the great startups here today and the great technology that is moving us ever closer to this, you know, how long, how many, what do I have to do, how do I optimise all of my assets and inputs on my farm to get my optimum return? And when I look at the data that we're generating and I merge that with climate and weather, I might merge that with my virtual fencing or my geo tagging, I'm 100% confident we will get to, you know, the right answer for this paddock is, you know, 44 days, 8 hours and 15 minutes, unless otherwise advised. So if it rains, you'll have options. Do you extend the time or do you increase the carrying capacity? All of those variables happening in real time to inform people about their decisions. That's where it's all going and I think it's a super exciting space. We've got a good team, there's about 20 of us at FarmBot, as I mentioned, been around for quite a long time and we're working with a lot of great sponsors who are helping distribute our product and, you know, be remiss of me not to mention elders who have been great supporters of this event and who are great supporters of us and, you know, they distribute FarmBot products around the country. So I'll wind up there with five minutes of Q&A to go.