 Next, at Loxford Ag Tech Field Days, Matthew, Deep Planet, that's what we're here having a look at now. Take us through what it is. Yeah, Deep Planet is an agri tech company out of the UK with their research background out of Oxford University where three founders met each other as doing their MBA and did a water challenge independently to each other and realised if they put all their smarts together they've actually got some really useful technology. So what they're doing is monitoring and helping growers and wine makers to manage vineyards at scale. So it's largely bringing in satellite imagery so other people have spoken about different ways of getting imagery. We're looking at satellite imagery and providing it on a regular weekly or daily basis so that they can make decisions quite quickly and not have to rely on imagery on set time frames. Importantly they're therefore able to look at all the things we've already spoken about in terms of vigor variability, stress, water, but they've also got some really smart algorithms in terms of doing hands off yield prediction as well as, as you can see on screen here, bow and make heat maps that have actually identified how they can actually measure sugar from space and organise where you might want to take your sampling from to actually get a truly accurate representation of the vineyard. Help growers have that database decision, sorry, database discussion with grower liaisons about is their block ready to be picked, can they actually split pick the box because a third of it actually is within contract and two thirds might not be so you can say let's take that third off and we'll come back in a week and pick the rest of it so it's reducing the growers risk but the winery is still getting their wines, still getting their grapes at the quality they want for the wines that they want to produce. Something we've talked about is interoperability and working between other systems as well does this interface with other systems or can it, is there a way it can do that? Absolutely, so when when DeepPlanet originally set up their business, their whole philosophy was that they were going to be just a business that delivered the the algorithms that could do the analysis of the data. You know, as you can see, you can get imagery from lots of different sources where their smarts is is actually in interpreting that data and being able to put it out. So their initial initial plan was that they would API in and out of different systems. So if you've got soil moisture sensors, they can actually take that information in, they can predict out your soil moisture for up to a month, most growers want a week to two weeks, they can also do soil moisture interpretation so your whole sub terrain can be mapped across the whole block rather than just getting a measurement at one particular point. But unfortunately when they started to push out their results there was no dominant platform as we've been talking about today. So they can either deliver it through a front-end platform, they can API it into say a major larger winery or grower groups existing operational platform, or as some growers who maybe want to use technology but they're not very technologically focused and they don't want to jump on a computer every day, the way they build their software is they actually build it as if it's like a PDF report and then once growers and through the co-creation once growers are happy with that then they build it onto the platform. So they can literally just email your PDF report once a week to make it really easy. So I'm suggesting that would be the entry level if you were going to use a system like this? Yeah, I mean from an entry level so they have as most software as a service monthly subscription companies do, they have a free service where you can get your basic imagery. Again, we're not out there trying to make money off of supplying imagery because that's quite easy to get. Where you pay the fee for the service is actually in the interpretation of the data and moving into prediction analytics. So if you take for example the Bome heat maps and so forth, that actually was a spin out from us actually predicting the optimal harvest date based on a target Bome level. So Panna Ricard Winemaker said to us last season, we want to know how much is out there, quantum of the yield. That's what we originally started discussing. And then they said the second question was we need to know when it's ready to be picked because if we've got a 13.5 Bome, that's our target Bome for that Charles block, then if it comes in a Bome under, it costs us a whole heap of money to put concentrate in or whatever else and we have to stop. We might have already booked trucks. So we have to pay for those trucks going back empty. And they came back and we did a thousand hectares over multiple regions. This region in the Riverland, Clare Valley, Langhorn Creek and Barossa multiple regions. We got to an 89% accuracy on their yield prediction at a block level. And then within 0.22 of a Bome to actually measure their sugar. So 0.3 was their maximum range. We're in 0.22. This is one of their blocks where they've ground truth that forest as well. They're very helpful in that. And, you know, they, they estimated that it was up to $55 a ton, just largely in logistics costs that they were getting as an ROI in terms of not having future transport, reducing their sampling by not having to have as many sample samples go out the hand, the, the yield predictions completely hands off. The maturity prediction needs some initial samples at the early start of the season just to calibrate it. And they're saving quite a lot of money. And it also brought the winemakers into a database decision on where that variability is. Can we split pick the box? Because I've got X amount, as I said before, that's in contract and not have to risk losing my whole block. Yeah, interesting and the connectivity involved in that as well. Matthew, thank you. Can I just also just quietly say they have received a grant from the South Australian government through the department for trade and investment called the landing pad program. And they will actually be opening up an office here in South Australia, because they recognize the the smarts and skills of South Australia as a community from the eco system that people are all the are doing the Australian Institute of Machine Learning and the universities and so forth. And with the Oxford University background, they they are coming so they will be based here as well.