Farming’s New Frontier: AI Steers Path to Green Future - podcast episode cover

Farming’s New Frontier: AI Steers Path to Green Future

Dec 27, 202330 min
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Episode description

Pesticides are considered an indispensable part of modern agriculture, but with links to environmental damage and soil pollution, their use comes at a cost. Could cutting-edge technologies that harness artificial intelligence help clean up farming’s chemical footprint?

On today’s show, Dana sits down with Alexander Liddington from BloombergNEF’s sustainable agriculture team. Together, they discuss the positive environmental impact and cost savings that ‘green-on-green’ detection could have for farmers, as advanced cameras and AI are deployed to identify the weeds hiding among crops. They also explore the limitations of drones for precision pest control and whether pesticide manufacturers are embracing the technological revolution.

Complimentary BNEF research on the trends driving the transition to a lower-carbon economy can be found at BNEF<GO> on the Bloomberg Terminal, on bnef.com or on the BNEF mobile app.

Links to research notes from this episode:

Precision Pesticide Delivery: Booming, to Spray the Least - https://www.bnef.com/insights/32161

AGCO and Trimble Link Up to Develop Anti-Weed Weaponry - https://www.bnef.com/shorts/s2eenwdwlu6801

Bayer Enters Collision Path With Farm Equipment Makers - https://www.bnef.com/shorts/s4gjmbt1um0w01

See omnystudio.com/listener for privacy information.

Transcript

Speaker 1

This is Dana Perkins and you're listening to Switched on the BNF podcast. Pesticides are considered an indispensable part of modern agriculture for many farmers. They're used to prevent weeds, insects, and fungus from attacking crops and decreasing yields. But the use of these chemicals comes at a cost because pesticides are a driver of environmental damage and soil pollution, and they have been linked to declines in bird and insect

populations and aquatic biodiversity on today's modern farms. The most common way to apply pesticides involves broadcast spraying. This is where chemicals are sprayed uniformly over crops, but this method is exceptionally inefficient, with ninety five percent of herbicides and

ninety eight percent of insecticides not actually reaching their intended pest. However, new precision delivery technologies could change all of this through the use of cameras and artificial intelligence, and it would enable green on green sensors to detect and target individual weed with pesticides, leaving the other green crops untouched. How does this technology work and just how efficient is it? And beyond environmental protection, what other benefits does it offer

to farmers? To find out more, today, I am joined by Alexander Littington, an analyst from bnaf's Sustainable Agriculture team. Together, we discuss the significance of green on green technology, the positive environmental impact it promises, and the potential cost savings for farmers. We also discuss the conditions required to use these new sensors and whether drones are a viable option, And finally, we discuss whether pesticide manufacturers are embracing this

technological revolution. To access associated BNF research highlighted on today's show, including Alex's research note with a terrific title, Precision Pesticide Delivery Booming to Spray the Least, you can find it on BNF dot com or at BNF go on the Bloomberg terminal. If you like this podcast, make sure to subscribe or give us a review. But right now, let's jump into our conversation with Alex about precision agriculture. Alex, thank you very much for joining the show today morning.

Speaker 2

Thank you for having me well.

Speaker 1

Alex is very kindly saying good morning to me, But it's actually evening where you are, so I'm located in London, you're located in Australia, and we're here to discuss pesticides. It would be great if you could give us a little bit of context as we head into this regarding why we think there might be the opportunity to have

a breakthrough on being motivated to actually fix the pesticide problem. Because, as many people know, in the agriculture space, farming is incredibly distributed and so trying to rally behind organized common solutions that are centrally managed can be somewhat difficult to do. And I think you can give us a little bit of context around some of those central sources of motivation that are just starting to emerge now.

Speaker 3

So we've got all these new policies emerging, like the Global Biodiversity Framework, these big supernational targets to reduce the

amount of chemical pesticide that we need to apply. And this is pretty much the best solution for that, and that is to protect nature because obviously all these chemicals that leach out and leave the cropping system, they then enter the natural environment, They enter organisms, they cause reproductive distress, They cause trofic cascade, which is when one species essentially falls out of the food web and the whole food chain then collapses.

Speaker 1

So it would be great if you could give us a little bit of color on the current way we are using pesticides in most places in the world so that we can understand what it is that actually needs to be fixed.

Speaker 3

So agriculture has a trilemma. We need to feed ten billion people by twenty fifty on potentially less land as it's protected by nature, and to halt the biodiversity crisis which we're currently experiencing. As I said, we need to

feed ten billion people by twenty to fifty. Unfortunately, that does mean that we still need to rely on a portion of chemical crop inputs as well as implementing integrated pest management systems, which are a methodology of reducing the amount of chemical pesticide that is used.

Speaker 2

So currently we spray.

Speaker 3

Chemical pesticides at very high volumes, very indiscriminately, and that can either be via aerial with a crop duster, which is a small plane with a payload that just drops the chemical onto the field, or we do it via.

Speaker 2

A big boom spread which is.

Speaker 3

An effect attractor with a tank attached to it with two large wings which then deliver that pesticide along the rows of crops. Now, what this means is that the chemical can actually then either blow away in spray drift as the air picks up, or more chemical is released then is actually necessary to kill the pest. And that pest can either be a weed, it can be a fungus, it can be an insect or something even more obscure like a nematode which exists in the soil and can

harm the plant's growth. And eventually what that means is the yield that we obtain from the crops.

Speaker 1

So why don't you give me a little bit of context around just how bad the problem is in terms of the overuse or inefficient use of pesticides, be those insecticides or herbicides.

Speaker 3

Absolutely so when we spray these chemicals in these big broadcast methods, ninety eight percent of insecticides and ninety five percent of herbicides don't even reach their target pests.

Speaker 2

So what that means is.

Speaker 3

It that chemical can then leave the cropping zone and the cropping system or the farm and then cause knock on consequences to nature and ecology, whether that be disrupting breeding cycles of aquatic organisms, killing native plants, affecting the behavior of large animals, that neurotoxicity as we call it, and even up to the human level. There was traces of glyphosate found in human urine at very, very shocking levels recently in the United States.

Speaker 1

I think there is a general understanding that for overall health of organisms, we want to reduce pesticide use. I mean, these are micals designed to kill things, including insects, which we do need for biodiversity. So the urgency is so well laid out by the fact that ninety eight percent I mean, I'm just going to repeat that, because that is such a huge amount of overall pesticides not reaching their desired location. But Aha, we are here to discuss

solutions as we always do, and I find this. We're going to launch into a conversation around how AI can actually address this, which going to be learning a lot on this show, because when I think about the natural world and I think about plants in particular, the interventions that immediately come to mind are not ones that I would think involve computers sitting in a lab somewhere and a technology fix. So explain to us how AI has an application in reducing pesticides.

Speaker 3

Absolutely, so there's a leading technology which is emerging that we call as a blanket variable right technology, and it kind of does what it says on the tin. It varies the right in which we apply these chemical pesticides. Now, the pinnacle of that the best performing technology is green on green optical spot spray and that essentially is cameras that amounted to a conventional broadcast boom spray that then uses artificial intelligence algorithms to detect the weeds in the

row of the crops. As this machine is working down the field and it chooses to turn on and off the nozzles to only spray the weed that is present. So the reason we call it green on green as opposed to green on brown was the previous technology was a green on brown, meaning that it can sense green plants on brown soil. Now we're talking about green on green technologies. This means that we can sense green weeds

amongst green crops. So it's selecting green within green to then deliver that precise dose of herbicide.

Speaker 1

So, if I'm understanding this correctly, this is basically a very advanced facial recognition technology but for weeds, so it can tell the difference between the plant that you want to have there and the plant that you don't want to have there.

Speaker 2

In essence, yes, okay.

Speaker 1

So this is interesting. I wonder if there'll be any mistaken identity moments there. But the point is that this seems like a technology solution to detecting the pests that are within the desired crops. But why is this considered an artificial intelligence application? What about it makes it AI?

Speaker 3

So what they do is they feed a model, a computer model, annotated images of weeds thousands of thousands of times, and the model begins to learn the shape of the weed, the color of the leaf compared to a crop, and it can eventually manage to do that at speed and make the decision by itself which is the weed and

which is the crop. Now a lot of this is done in house by the big machinery manufacturers, but there's also a push to make this open source so that it can be used globally free to use, and that's by actually a chap working over here in Sydney at the Sydney University called the University of Sydney Weed AI.

Speaker 1

So also to simplify this, it enables precision application, so it's able to really make the location of the pesticide that's being used quite specific to address the specific weed. Now, how much of an improvement would this lead to, because it's all going into the soil in this general area. Is this actually going to dramatically reduce the amount of pesticides that are used in a commercial farm?

Speaker 3

Absolutely, the best available technologies are promising an up to ninety seven point five percent production in the amount of chemical that is used.

Speaker 1

Wow, So that's a huge improvement. And then that begs the question does this then have a net economic benefit for the farmer? What are the financial savings for the farm in terms of reducing pesticides and pesticides essentially a really expensive part of farming.

Speaker 3

So yeah, with our modeling that we've done here at Bloomberg NIA, we've found that this employing this green on green technology can be up to sixty percent cheaper.

Speaker 2

Than current broadcast methods.

Speaker 3

So that takes into account the fuel, all the changes in cost of labor, the chemical itself, the herbicide, and the cost of the actually implementing and fitting one of these new green on green machines.

Speaker 1

So presumably the machines themselves have a pretty substantial capital outlaid the beginning, and then the savings that you make on reducing your pesticide use is going to help you pay for that over time. But let's get into that to begin with. How expensive is it? How much cost is it going to be for the farmer to start using this technology to begin with.

Speaker 3

So there's two models that you can go for here. You can either buy a new sprayer which is equipped with this technology, or you can be buying a retrofit part, which is where a secondary manufacturer will fit this to your current existing sprayre Now, most farmers already own a spray, they've already outlaid that capsule expenditure. Most of these models sit around one hundred and twenty thousand dollars.

Speaker 1

And are these sprayers stationary? Are you capable of moving them around? And the real question I'm getting at is whether or not you need to have a lot out of them on a farm or you'd be able to invest in a smaller number and actually move them around.

Speaker 3

Typically a farmer will have one sprayer and that'll be the one spread that they use. Now, obviously, in the really really large operations, when we get up to the thousands upon thousands of hectors. You may need to have a couple of machines, but for the most part, one machine will definitely take care of all of the land that you have.

Speaker 1

So where in the world are these being adopted right now? Are there more technology friendly farming communities that we should know about somewhere between where you live and I live on this beautiful blue planet?

Speaker 2

There certainly are there, certainly are.

Speaker 3

Actually Australia, where we're sitting right now, has had the greatest adoption of variable rate technology or precision application. In the earlier stages, there was a technology called green on Brown, not quite as advanced and can only be used under

certain applications. It just so happened that those applications fitted Australia's agronomy and in geography perfectly, so we had a great uptake of the technology and that equates to around seventy percent of grain along the eastern parts of Australia being sprayed with variable rate technology. Now looking at the green on green technology which are starting to become really popular here in Australia, but they also will be able to provide savings to farmers in the US, in Brazil

and in the EU. Are the key cropping areas.

Speaker 1

So you mentioned the conditions being right in Australia for early adoption of some of these technologies. What are the conditions that need to be in place in order for this to work.

Speaker 3

Older technologies were only able to spray when they sensed a plant and not use AI to detect the difference between a plant, a crop and a weed. So that means they could only be used when the field was being fallowed and that is when the field is empty of any crops. So we were only spraying during that period between harvest and sewing, again to avoid the cost of accidentally spraying your crops. Now with the newer technology, we can use it year round because it's able to

detect the weed in crop. Means whilst the field bears crops, we can use this technology to spray throughout the full cropping cycle.

Speaker 1

When we're thinking about the sort of crops that this would be most used for, whether they're the economically beneficial ones because certainly some of them make more money than others, or the way that they're harvested does it make a difference. I mean, I'm from Napa Valley, which is well known as a wine growing region, and there's multiple different ways to go about growing grapes, and some of them are dry farmed, but most of them are in rows with

some sort of irrigation. Is this something that would be used for the wine industry perhaps, or does it have more applicability in let's say corn or even I'm thinking about really fast rotation crops near the equator, like bananas.

Speaker 3

So the most gains that we're going to see here are typically in row crops. Now, these are big, broad acre operations that are growing grains, oil seeds, things like corn, wheat, canola. Now that's not to say that it can't be used and it isn't used in tree crops. The amount of gains that we're going to see are going to be best from these larger row crops, big operations. We think here in Australia there's some farmers who can go for

ten kilometers without having to turn their vehicle around. And then in terms of frequency of use in the US and in THEEU, there's typically one crop per year in each field. Now, if we move down close to the equator, take Brazil for example, Brazil, you can have up to three crops per year being taken out of the field. So that really equates to a lot of savings on the amount of pesticide that we're spraying.

Speaker 1

So you've painted a picture in my mind of fairly large farms monocropping, and you know, the things that are actually reaching most people on their dinner plate. And there have been concerns not just regarding pesticides, but actually the vulnerabilities of monocropping and also what it does to the soil to constantly be rotating the same crops on the

same space. Is there a benefit to soil health when it comes to reducing the amount of pesticides And is this going to make that plot of land that the farmer is working on something they're going to be able to be on for longer and maybe even reduce their need for fertilizers.

Speaker 2

Certainly.

Speaker 3

So, a lot of these chemicals reduce the health of the soils, not only in the microorganisms, but also those larger organisms that are existing, the beneficial insects and invertebrates. So by reducing the amount of damage that we're causing to the soil by overspraying pesticides, we actually stop the vicious cycle, which is damage soil less beneficial insects and therefore more chemical needing to be sprayed.

Speaker 1

The pesticide business is a big business. By reducing the amount that are actually being used, there could potentially be a lot of money at stake. What is the current market size for this and how much are they doing? I guess annually in terms of how many pesticides are being sold around the world.

Speaker 3

So the global pesticide industry or crop protection industries is also known, is around forty three billion dollars a year. Now that's completely under threat at the moment, both due to legislative pressures but also due to the farmer being very squeezed. The farmer doesn't receive very much of the share of the dollar, so wherever they can reasonably cut costs, they will. Now this technology is allowing them to reduce both their cost base but also to improve the productivity of their farm.

Speaker 1

How are the pesticide companies viewing this new technology that's emerging and is it something that they're interested in and potentially developing a house or even acquiring, or is it something that they're threatened by and trying to figure out how long they can avoid it becoming mainstream.

Speaker 3

The crop protection industry has been able to move very agile, and they've learned from previous legislative knocks such as in the EU the amount of pesticides that are being restricted for use on a yearly basis. So they've really grabbed the ball by the horns and they've jumped in at the deep end. For instance, there's a startup called the Eco Robotics ARA, which is a precision delivery unit which promises to reduce crop inputs from herbicide insect side and

funger side as well as fertilizer. Now that's had investment from notable investors, both the ASF, the German crop protection company, but also Yara, the global fertilizer company.

Speaker 1

So when you're talking about this AI technology being used to spot those pesky pests, you specifically referenced it being put onto a boom and kind of coming across the entire field. But I'm thinking now of drones that are not actually connected to the ground flying over. That is something that has been i think excitedly talked about. And the question for you, is someone who's looked at this in more detail, is whether or not you think that that's got legs No pun intended.

Speaker 3

So there absolutely is an application for drones in agriculture. However, the spraying of large sways of cropping land is probably not it. The payloads are just too small at the moment and we haven't really seen advances in swarming technology, and that's when we deploy multiple drones. So I think the largest drone which is currently available is the Guardian Agriculture sc one, which has around seventy to eighty liters of payload capacity. It has also been invested by big

names in the industry like leaps by Buyer. Now, the case for drones is that we can apply chemical to hard to reach areas, which will mean that the use of the chemical is more efficient, so such as the tops of tree crops, which previously we haven't been able to apply to very efficiently we've therefore lost yield. It also can be used on areas such as boundaries where the spray is.

Speaker 2

Not able to get to as easily.

Speaker 3

Alternatively, and areas of sprayer can't enter, like greenhouse agriculture or glasshouse agriculture. So there certainly is a case for spray drones. The technology is just not there yet at the moment to spray big swathes of agricultural arable land. Another application of the use of drones will be in

mapping and surveillance of fields. So that is something that currently takes a lot of time and effort and also a lot of money to get a satellite map done of the characteristics of your farm land, which are very useful in applying inputs. So that may be the yields, that may be the presence of pests, that may be the availability of.

Speaker 2

Water for your cropping.

Speaker 3

So this will enable us to work smarter using imagery mapping software that then can be loaded up to farm management software to deploy chemicals smarter. So the case for drones is either as surveillance and mapping imagery technology or as in small payloads in areas that we can't get a boom spread to.

Speaker 1

So the drone technology is actually a compliment to the boomsprayer as opposed to an alternative to it, at least in the picture that you've painted of the future, where we're looking at the field and being strategic and then the boom sprayer has that ability to actually do the end application in that quite precision way. This seems like a great solution. You've got me very excited about what

this technology could accomplish. So let's pivot a little bit to what parts of the pest world that it could actually be applied to. A lot of our conversation thus far has really focused on weeds and the plant based problems that we have there, but invariably there are also fungus and insects. Is that the next frontier for this technology? And I guess, without asking you to predict the future, how soon do you think it'll be applicable to a wider range of pests?

Speaker 3

Absolutely so, we already have companies offering drone surveillance to be able to detect other types of pests, such as Xavio for instance. However, what we haven't yet seen is a machine that is actually capable of seeing and detecting the other types of pests in real time and then therefore delivering the precise dose of required pesticide, whether it

be a herbicide, insecticide, or fungicide. Now we've put a rough estimate there together that we think by at least twenty thirty we'll have this detection available for fungicide, so that disease will be detectable by a machine in real time, and then for insects, we think that should come land somewhere between now and twenty fifty. The problem with insects is that they are mobile, they're fast, and they're cryptic.

That means that they can hide, so actually spotting them in a crop is a particularly difficult endeavor.

Speaker 1

So when I'm imagining the future, I should not be imagining some sort of robot, whether on a boom or as a drone, flying around chasing insects in some sort of a field. But who is coming up with these technology solutions. Are they Silicon valley tech companies, Are they smaller startups or are they the pesticide companies themselves thinking about these new and innovative ways to essentially make farming better.

Speaker 2

So it's actually a mixture.

Speaker 3

What we've seen is we've seen two roots to market, and that is from either in house R and D and bolt on acquisitions, or it's from parts ships with larger companies and smaller startups. So John Deere has gone the complete in house route. It's kept its doors shut, It's acquired a couple of interesting companies along the way,

such as Blue River Technology and bear Flag Robotics. On the flip side, we've seen companies like CNCH Industrial and Agco who have entered into partnerships with spot spray startups like Zavio and one smart Spray now there. Recently, there's been a joint venture between Agco and one of the world's biggest technology companies, Trimble. This acquisition has enabled ADCO to really take control of the retrofit precision agriculture suite.

This is across both spraying, harvesting, delivery of fertilizers. But one key part of that joint venture is Bilbury. Now, Bilbury is the best performing green on green sprayer on paper. What this means is they have the best promises to reduce the most amount of chemical pesticide and that is sitting at ninety seven point five percent.

Speaker 1

Now let's just pivot again to adaption. Going back to what you were saying earlier about some of these units being over one hundred thousand US dollars to install. This is a big capital outlay, and we know that farming is a tough business to be in and the margins are not amazingly great, so this may be a fairly big hurdle for some farms to actually cross. What are governments doing and maybe we can use the case of Australia where we've seen good farmer uptake. What it's driven that.

Has it been entirely the market or have there been in government incentives and schemes that have facilitated it.

Speaker 2

That's a great question.

Speaker 3

And actually the geography with the highest adoption in Australia has seen most of its adoption of infact all of its adoption driven by savings to the farmer. Now, with nineteen percent of the variable costs for a grower in each year being comprised of crop protection reducing that can really cause a benefit to the bottom line for the

grower themselves. Now, with our modeling, what we've seen is the cost of spraying one hecta employing this green on green optical spot spraying is about sixty percent saving.

Speaker 1

So really the farmers are very much motivated by how much money they're going to save and the payback period in terms of money saved on pesticides. It's going to make it worthwhile pretty quickly to buy these machines. They may even be able to get loans for them.

Speaker 3

Absolutely, So now that does bring a little bit of a question into it, and the limitations are that in countries where or with a grow who is not large enough to be able to outlay the capital expenditure to actually obtain the chemical, then what does that mean for them? But we are hearing certain calls, whether it be tax breaks or tax incentives or subsidies for purchase of precision agriculture equipment.

Speaker 1

So we're thinking about the future of farming here, and this AI application is certainly one important way for us to think about tackling a problem pesticide use. So tell me a bit about the future. How soon and what does it look like in these modern farms that are going to be much more efficient.

Speaker 3

So what we'll see in the future is we'll see fungicide, herbicide and insecticide all being able to be delivered from the same machine. But not only that, the machine will be able to make decisions in real time to detect all types of pests, but also be able to learn year on year what the trends are, what does the local area look like, what does the agronomy request or require to be applied, and so essentially what we're doing is we're building a large data model of the farm.

So as the machine goes through the farm, it learns the farm, and that's from both we're talking earlier about drone surveillance and drone surveying, but also from the.

Speaker 2

On farm cameras.

Speaker 3

So as they learn, the machines get better and they get better and more precise.

Speaker 1

So in this increasingly technology reliant agriculture future, what are the potential downsides? You know, with the exception of the obvious ones, which are that there is required energy use for operating any sort of machine, as well as energy use for the servers that will very much be required in order to facilitate this AI technology the energy transition. This makes it intrinsically linked to the changes that may

be required in the agriculture space. But are there any other downsides to this that maybe I haven't considered.

Speaker 3

We haven't spoken at all about autonomy on these machines, and actually what we're moving to as a smart vehicle that can actually work and operate without the requirement of a human. But what that means is then the farmer can spend more time monitoring their crops and actually paying attention to the local agronomy. Even if these machines moved to being fully autonomous, being able to operate by themselves.

That will mean that we'll free up time on the farm for growers who conventionally quite time poor, to be able to pay more attention to their crops, to be able to monitor for pests, monifor the presence of pests, monitor the health and monitorf really for their plant need as opposed to spending a lot of the time in the cab actually applying these products. Now there's a startup also based here in Australia called swarm Farm Robotics. Now, what swarm Farm does is they operate a driverless vehicle

that is capable of towing a sprayer. However, this vehicle can choose or has the smarts to operate only when the timing is perfect for the chemical to be applied, and that is when there is low rain and low wind. That means that the chemical is less likely to be pulled off of the cropping system or escape the cropping system.

Speaker 1

So, Alex, my final question really comes down to the fact that when I think of technology now, I think about all of these subscription models that we all subscribe to. Will this apply to this technology and will there essentially be software updates to the AI technology where it becomes more sophisticated and can do a better job of figuring out what the precision sprayer needs to do. And as a result, is this both a hardware and software conversation?

Speaker 2

It absolutely is.

Speaker 3

So there's essentially three models that the machinery manufacturers are employing. Firstly, is a one off fee to purchase both the software and the hardware. Then we have a second where you would purchase the hardware and then choose to turn on the software for a year, and that would enable you to spray the amount of hectares per year paying for

the algorithm that actually detects these pests in field. Now, the third option is paying per use, So every time you turn on your tractor and choose to use that function, you'll pay a fee. So what this means essentially is that the current quotes that we're currently seeing are around five to seven dollars per hecta to use the technology.

Speaker 1

So this is really interesting because not only is this technology going to help save the farmer money on its pesticide use, but there actually is a long term revenue stream for the companies that are actually selling the technology. So I am very interested to see how these business models evolve and invariably where it ends up in the world,

because Australia great first place to start. But I am seeing a lot of potential here for other parts of the world which you've already identified, such as parts of Europe and Brazil and North America. So we will wait and see. We look forward to having you back on the show telling us about more developments in the agriculture space. Thank you for sharing your thoughts.

Speaker 2

Thanks for having me, It's been great.

Speaker 1

Bloomberg NF is a service provided by Bloomberg Finance LP and its affiliates. This recording does not constitute, nor should it be construed as investment advice, investment recommendations, or a recommendation as to an investment or other strategy. Bloomberg n EF should not be considered as information sufficient upon which

to base an investment decision. Neither Bloomberg Finance LP nor any of its affiliates makes any representation or warranty as to the accuracy or completeness of the information contained in this recording, and any liability as a result of this recording is expressly disclaimed.

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