 Thanks for the organizing committee for letting some Queenslanders into South Australia which is good. Plenty of you guys coming up our way so it's good. It's a pleasure to be here and talk to you a bit about what we do in our business and and I guess this my talks why I've been asked to talk was really about the adoption rates of technology. I'm sort of continually frustrated by more cooler gadgets and not really focused on actually adopting on the ground and this is a sort of thing that drives me crazy. This is old data now but and many you may have seen this before but you know I started working with Auto Steer technology back in the late 90s and I you know started with the early vision systems and into GPS and you can see that you know over the last 15-20 years adoption rates have been incredible and now about 80% of all farms have Auto Steer on their tractors and you know these sort of adoption rates are pretty much identical to the US except we're a little bit ahead of them which is no surprise. What frustrates me now we've got 70% roughly yield monitors and those yield monitor that yield monitor slide basically is the changeover of harvesters in Australia essentially because a few people bought them in the first place but now every head has got a yield monitor but only half the people that have got a yield monitor have ever looked at a map and only 10% of people that have done that have actually ever done anything about it and I'm sort of fed up with that that we're not getting this adoption that we should be and before we came along GRDC did some work to show that only 4% of farmers in Australia looked at satellite imagery and I've been playing around with satellite imagery since 2003 so 17 years later and we're still having this discussion so we created data farming back two and a half years ago to solve this problem it's to solve the adoption problem because if we don't change something fundamentally about the way we do precision ag nothing's going to bloody change in the paddock and the other thing that really drives me nuts is seeing this every day where a typical yield monitor and yield map from a from a harvester on the left is the the variability in that yield and I can tell you now there's not one paddock in Australia that's it hasn't got at least 200 300 percent variation not one I've looked at thousands of these bloody maps and there's not one paddock that hasn't got at least 200% variation and we keep talking about feeding the world and all the rest of that stuff and we talk about 1% yield improvements from new varieties when the answer to our problems is sitting right under our noses so if we don't start solving these problems we're never going to increase our productivity we're never going to get management on their costs we're putting the same inputs on that on that paddock year in year out and nothing's changing so what we did is we went to something and we said how can we get people adopting some technology in this precision ag space on their properties we immediately went to satellite imagery because there's no humans involved in satellite imagery I don't know if you know that it's the best thing that can happen because soon you start putting humans into things everything goes pear-shaped all right so we started and luckily the Sentinel satellites are now available across the world thanks to the European Space Agency so every five days like Phil had talked about in the last session we're delivering free five-day satellite imagery anywhere in the world and you go well why have you done that for free because I don't believe that unless you experience something on your own property you're never going to make the next step and every solution that's on the market right now is so super complicated that you're never going to start at the ground zero so you've got to experience on in your own property to make sense of all this this is a view of NDVI which we've talked about already but it's the vegetation index on a regional scale and you can see a little tiny red box in the middle is one paddock and it doesn't that's good for the regional wide assessment right you can see the brown areas there where there's no crop and the bluest areas are really really good crop if you look at that one red paddock zoomed in that image really is bloody well useless right for that farmer for that agronomist absolutely useless what you got to do is cut that image down to the field boundary and really stretch out those differences so this is the same image on the same day except it's clipped to the field and it stretched the colors because if I'm an agronomist or a farmer I want to know where's the good and the bad parts of that paddock on that day so that's not saying that those brown areas are crappy crop it's just saying that's the worst part of that field on that day so when I'm doing tissue sampling or I'm checking for insects or whatever it might be I want to be directed to the good and bad areas of that field as quickly as possible so I'm not trying to create more work we're trying to be more efficient at a work when we talk about crop checking if that sort of makes sense to you and you want to do something different in that paddock in real time we've developed a little tool which turns that that image instantly into a zone map and you can add your rates you pay 40 cents a heck down you get a zoning file which you can load straight into your machine and go and do velcro application we're trying to reduce the complexity we're trying to increase the speed of getting through this process that used to take a guy sitting in a computer two and half hours to do something like that we're trying to get people in the field to do it instantaneously to close that loop as quickly as possible between collecting data deriving the insights and creating an action at the end of it so we've got to close that loop up and get as as quick as we possibly can and as efficient as we can so that's how we've been monetizing we've also developed some new products like this which stacks five years of satellite data together now if you want to go and saw sample you never been on a property before you go where the hell do I start this is a sort of tool where you can pick the peak images each year or the images that you want and stack them all together to create a multiple product very good for that saw testing type of approach keeping in mind that you're selecting those images based on what you know about that field you know avoiding flowering canola for example is a bloody good idea because it really upsets the end of your images so this is a rapid way of getting data on a paddock that you've never been into before to get your process started on where where do I start with this whole whole you know precision ag sort of space the other thing that we've recently launched is ultra high res product particularly in relation to the vineyards down here and working with Ollie and DJs down here to get this product out this summer but if you look at that's our 10 meter free data there as you see it right now it's reasonably you know it's got some value but not very much you know 10 meter stuff's much more suited to broad acre big farms you know on the central Western use of Wales when we're talking about vineyards you know we need to go from that to this and and this data now is quite readily available it's not routinely captured but we can task the satellites to capture this data and we're talking about 400 times more detail than that 10 meter stuff so we're talking half meter pixel here from satellite there's some discussion last session about 30 centimetres you can get 30 centimeter res from satellite now so we're delivering that on a web platform to the guy in the paddock basically to go and scout those fields based on much better resolution data you've really got to get that level of res when you're talking about anything intensive horticulture tree crops that sort of thing we do also do a lot of work in cotton and rice and they also want higher resolution down to a row level so it's not just for horticulture but there's certainly certainly other products the key thing here is to is the price point I've seen so much stuff come into Australia in the tens of dollars per hectare not delivering value and I think we've come at a price point trying to get adoption in a reasonable sort of fashion you can also get the true color image from that day so unfortunately I've seen a lot in the images coming through the bushfires and the burning of certain vineyards down here it's quite sad but you know the color image can confirms that you've got no cloud that's that's another really important thing too if I go back to the other images we allow you to look at each color image so that you can see if there's any cloud or cloud shadow over your paddocks if you don't do that and you just rely on the data you're destined for disaster you've got to understand that there's got to be cloud-free to get good good information so if anybody you want to have a jump in and have a play feel free you just got to sign in a sign up login datafame.com.au there's a big green login button that you can't miss all you needs an email and a password I don't really want to know anything else about you right now just create a email and password we've got to get low barrier to entry here that's another reason for getting adoption we can you can straightaway upload boundaries that you've already done and I feel and I've been talking quite a bit about how do we import boundaries from other software Agwell backpatic if you've got a KML or a shapefile which want to make it easy for you to upload fields that you already got in other programs and not redraw them all but if you need to redraw them then we've got simple drawing tools and all you got to do is click on one of those paddocks once you've imported it and all the imagery appears for every five days for the last three years it's freely available. So our model has worked thankfully because otherwise I wouldn't be here we've got 15,000 farms now using the platform 90% of those are in Australia and these are our Australian customers mostly in that sheet week built down in Victoria and New South Wales and people of painstakingly clicked on 75,000 paddocks which scares the hell out of me because that's that's a lot of drawing that people have done but the good thing is that we can import those and now all those fields are sitting in now in the software which is just an incredible amount of data. One thing we are working on which you may be interested in is because there's been 75,000 paddocks that people have manually drawn in but we've developed some tools and we're still refining these but we're actually automatically drawing every field boundary in Australia and that's so that you don't have to click and draw thousands and thousands of bloody paddocks like we've got agronomists that have 15 farms and some of those farms that have 100 paddocks each so how on earth that must take them days to draw their bloody paddocks in so we've got to get quicker processes to get people engaged with this and a paddock is a natural scale that we're going to operate at for machinery for recommendations the whole lot so we're trying to speed up that process by doing that and that's all done off satellite imagery interpretation automatically so there's sort of things we're working on