Welcome To The Let's Talk Agriculture Podcast Show

Revolutionizing Agriculture with AI-Powered Satellite Imagery with Lidiia Lelechenko


[00:00:00] INTRO

[00:00:42] Sharon Idahosa: Hello, beautiful people. Welcome to the final episode of our technology series. It’s really been an amazing time discussing with Agri technology brands with innovative solutions. for the advancement of the agriculture sector. But before we dive into today’s topic, I would like you to [00:01:00] try out EOS data crop monitoring if you are a farmer, or you can contact EOS data sales team if you are interested in the custom agri tech product.

[00:01:10] Sharon Idahosa: So today we want to take a deep dive into how AI power satellite imagery is playing a very crucial role in the agricultural industry today. So to get this episode started, join me. Welcome my guest for today, Lidiia Lelechenko, Account Executive at EOS Data Analytics. Hello Lidiia, how are you doing today?

[00:01:31] Lidiia Lelechenko: Hi, Sharon. It is my pleasure to meet you. Hi, everyone, the audience. So yeah, I’m very excited to be the part of the podcast today to share some insight on the remote sensing and agriculture. Yeah. Thank you.

[00:01:49] Sharon Idahosa: Great. Thank you so much for joining. I’m sure that this is going to be an insightful episode for our listeners out there.

[00:01:56] Sharon Idahosa: I’ve seen this, um, topic to be a very interesting [00:02:00] one, and I, I really hope that our young people as well and all the businesses can also benefit from this episode. So thank you so much for joining again. So talking about how AI paths are like imagery and how it is transforming the agriculture industry.

[00:02:17] Sharon Idahosa: Can you share just a little bit how your company is championing that? I mean, how is your company really transformed? Definitely sharing. Sure.

[00:02:26] Lidiia Lelechenko: Yeah, so just to start with, just wanted to highlight the couple of words on the company itself. So EOS data analytics is the company that is being specialized in the remote sensing satellite technologies and I powered satellite imagery analytics.

[00:02:44] Lidiia Lelechenko: So, uh, we’ve been on these journey for already almost 10 years and we’re keep on developing various artificial intelligence based models that are actually being nourished by a specific data such as [00:03:00] the satellite data and also some ground truth data to get to cover and undercover basically some insights of the agriculture industry, such as to enhance the practices within the yield prediction, the crop monitoring in general, to understand how the crops are being rotated on the fields that we’re monitoring, and so on and so forth.

[00:03:24] Lidiia Lelechenko: So the options in here are numerous. We need to examine Pretty much of what would be the pain of our customer would be the need. And then with the help of those technologies, we can definitely get that covered.

[00:03:40] Sharon Idahosa: Thank you for sharing that. So, I mean, this is, I mean, you’ve been in this space for so long. I mean, EOS Data actually been in this space for so long, and that’s really commendable.

[00:03:49] Sharon Idahosa: Can you just, um, maybe just tell me how Um, great that has been going so far? How, I mean, what, what, what I like the regions you’ve covered so far. [00:04:00] I know I actually saw something in Nigeria and it’s really exciting to know that they’re also embracing, um, satellites, um, imagery here in Nigeria as well. So maybe you could just.

[00:04:11] Sharon Idahosa: give us a little hint on how successful that has been so far.

How AI-Powered Satellite Imagery Revolutionizes Agriculture, with Lidiia Lelechenko

[00:04:16] Lidiia Lelechenko: Definitely, Sharon. So thank you for asking that. So just to give you the overview. So EOS Data Analytics covers the fields all over the whole world. So we are working with various countries with various regions and definitely of also Nigeria is the part of it.

[00:04:37] Lidiia Lelechenko: So, um, in here we have a very successful use case because we have partnered with one organization called AgriExchange. And so basically they have managed to get there under their umbrella around 1 million of small farm holders. for joining us. Basically to get the insights on what they’re growing and how they can optimize the practices that they’re being [00:05:00] practicing on the fields.

[00:05:01] Lidiia Lelechenko: And by talking that, so usually what we’re talking about is basically the monitoring of the general health of the plant condition on the field, also irrigation practices, also the zoning of the fields to understand on how that can be beneficial in terms of the, um, additional or well, The management basically of the fertilizer application on the land.

[00:05:26] Lidiia Lelechenko: So many, many things. And we’re very excited to continue this road and to work on that further, not just in Nigeria, but basically in all African countries and all over the world, as I’ve said before,

[00:05:42] Sharon Idahosa: pretty interesting. Do you have maybe, maybe just, you can, I’m sure that success stories that he highlights of

[00:05:48] Sharon Idahosa: technology solutions, especially when these solutions are to help improve the productivity of our farmers. So maybe there are real case [00:06:00] studies or success stories that you can share where your technology has made a significant difference for farmers. For the agribusinesses or for other stakeholders. I mean, in the agriculture village and I think that would be great to share.

[00:06:15] Lidiia Lelechenko: Um, absolutely Sharon. Thank you for asking that. Numerous numerous use cases that we have already worked with within our multiple year practice within the crowd monitoring and other platforms that we’re working with. I wanted to highlight a couple of them. So I think one of my, um, actually top ones would be the mentioning of, um, the possibility of like, okay, so first things first, we’re usually talking about the Enhancing on like, um, upgrading some practices, and we all want to hear some numbers, I would say, and I understand that perfectly.

[00:06:55] Lidiia Lelechenko: And this is why, for example, I wanted to introduce you the use case of, um, [00:07:00] um, the gradient crop yield solution. So it’s a branch of a well known in the United States company called Morningstar, located in California, US. So they’re specialized within the growing of Of tomatoes and orchards. And so the challenge in here was that the company faced some climate related challenges that were developed into the concrete business and balance issues.

[00:07:24] Lidiia Lelechenko: So the Morningstar face some plant malnutrition over irrigation and some abscess and field imagery at say, say, saw this gradient project was born to ensure that those tomatoes would be mentioned. Can you hear me? I’m sorry, Sharon. please.

[00:07:36] Sharon Idahsoa: Yeah, yeah, yeah. I can hear you. Just go ahead,

[00:07:39] Lidiia Lelechenko: Sorry. Perfect. Awesome. So, yeah, so I was saying that the grading project was born to ensure tomatoes, uh, surviving and thriving back again. And, uh, yeah, so those issues, uh, that we were talking about, so they came basically from the roots. Because the farmers [00:08:00] there were watering tomatoes too much. It was excessive on the extremely hot days without understanding their soil’s water retention abilities.

[00:08:08] Lidiia Lelechenko: And, well, definitely this is something that usually cannot be seen from, uh, such an easy perspective just by going in the field, but some extra tools would rather be needed. And so basically because of that, um, some nutritions were So that influenced the way how the tomatoes were growing and definitely on the overall perspective of, um, the yield further on.

[00:08:34] Lidiia Lelechenko: And so within, um, the gradients in ground sensors, so they were not enough. And as a result, so we’ve collaborated with the gradients platform and our combined forces allowed the company to enhance the clientele and basically the coverage of the tomatoes from Um, uh, 1, 200 to 26, 000 acres covered [00:09:00] within this safe tomatoes and the happy farmers basically then.

[00:09:05] Lidiia Lelechenko: Uh, stand in irrigation costs just because they have discovered that the retention of the water was absolutely sufficient. Basically to the specific level of irrigation that they could maintain. So this is just one perspective and one use case and also. There was an another as well. So, um, it’s about the business growth, actually.

[00:09:27] Lidiia Lelechenko: So the another example is the local agribusiness that managed to grow six times, um, since we started pontory partnering with them in 2021. So their name is a green of a group. They provide the remote field sensing services in various countries such as Czech Republic, Slovakia, Poland and Ukraine as well.

[00:09:47] Lidiia Lelechenko: And, um, One of the challenge was and actually, this is a challenge that so many farmers are facing. In my opinion, AgriNova’s clients found it challenging to adopt, uh, modern agriculture [00:10:00] approaches over some century old practices that they were working in before. Now, here and there, we’re hearing this situation and we understand how complicated it can be to adopt the new technology, especially in case this is something you have never worked with.

[00:10:15] Lidiia Lelechenko: But In the way how our crop monitoring platform is, it’s really fascinating how easy, uh, the farmers can get the access on the statistics and all the information as per regards of their fields. So as a result, as our partner, the company started with the, um, humble goal of monitoring the 5, 000 hectares, and now it kind of covers about 30, 000 hectares.

[00:10:40] Lidiia Lelechenko: So with the help of data analytics integration, it’s managed to show. How basically the earth observation of the crops helps to achieve the concrete results and that in return kind of established a very trustworthy relationships between the farmers and the company itself. And [00:11:00] so definitely the cost reduction came in once again.

[00:11:03] Lidiia Lelechenko: So because, um. The monitoring, um, and the two times digit growth actually of their revenue were the results of this, um, cooperation. So usually whenever we’re talking about the benefits of the usage of the crowd monitoring platform for the remote sensing, we’re talking about, um, numbers and those numbers are really efficient.

[00:11:24] Lidiia Lelechenko: So it’s the efficiency, uh, The necessity also of the field trip costs, for example, so there was, um, another use case and, uh, within the possibility of using, for example, remote tasking, uh, so like a scout tasking, uh, feature that we have in our platform. So that, uh, um, kind of decreased the necessity of going into the field in person, notably reducing the costs, uh, for example, almost cutting up to 40 percent reduction in that, um, uh, I can continue [00:12:00] going on and on.

[00:12:00] Lidiia Lelechenko: I just want to understand, you know, in case I understand that we’re limited in time, but uh, you know, I’m very passionate about what I’m doing and about the product itself and that’s guys, in case you want to talk more about that. They can also, as you have mentioned at the very beginning, they can reach out to us directly as I’m an account executive.

[00:12:22] Lidiia Lelechenko: I’m always excited to talk about the use cases and particularly also about each and every use case whenever a new client or the prospect is coming in with some pain. So we’re definitely trying to, to resolve that, um, as fast as possible, of course.

[00:12:40] Sharon Idahosa: Yeah, I can actually sense your passion for your work.

[00:12:44] Sharon Idahosa: And it’s really, really commendable. I mean, you, you just definitely feel it when someone is very passionate about what they do. So, so I was just, oh, how many use cases am I going to get today? That’s [00:13:00] so perfect, actually. Hearing you share the amazing testimonies from different businesses that have worked with you.

[00:13:07] Sharon Idahosa: And you’re also correct about something, um, it’s very difficult to have farmers, you know, to just easily adopt new technology. I mean, uh, farmers actually have been, um, still, um, focused on the traditional method of doing agriculture, um, their practices, and it’s very difficult to, you know, direct them into doing something or adopting a different kind of technology that is looking a bit strange to them.

[00:13:33] Sharon Idahosa: So helping them really transition to use, um, a technology like this, I think is really amazing. It’s really commendable and I really appreciate what you guys are doing. And also I know that we are concerned about how technology can benefit the farmers, especially in helping them to, you know, optimize their agricultural practices.

[00:13:56] Sharon Idahosa: And from what you’ve been mentioning so far and what [00:14:00] I’ve seen, I know that EOS Data has actually built a crop monitoring platform that is designed for field monitoring. So I think it would be nice to have like an insight into how this is benefiting the farmers. maybe put it this way, um, what, what is the benefit of the crop monitoring platform for farmers?

[00:14:20] Sharon Idahosa: I think if we can actually just put it, um, more like an highlight, so it would be a lot more easier for them to just grabs and, um, say the best way that they can tap into such a crop monitoring platform.

[00:14:31] Lidiia Lelechenko: Got you. Got you. Thank you for your question. And, uh, yes, uh, when I’m usually starting talking with.

[00:14:37] Lidiia Lelechenko: The customers, I’m trying to highlight that crowd monitoring is like, well, it is indeed an all in one solution. So it’s a platform first things first, it’s the possibility for you to gain the access to the fields that you’re working with.

So by simply drawing a polygon, uh, or like uploading the fields to the crowd monitoring [00:15:00] platform, you’re getting the, Well, the real time, the near real time, let’s call it like this perspective on what is happening right now with the state of your field, the historical perspective, which is also very valuable to understand how the land, how the crops were behaving there when probably you were We’re not even still working with them because we’re using multiple satellites that are incorporated into our system.

[00:15:29] Lidiia Lelechenko: And some of them as a sentinel to, for example, it’s getting backwards in 2016. And in terms of the weather data, we can get even more back in time. And those analysis, those in depth analytics, they can help to understand how the field was behaving earlier on. Why it has caused it to behave it like this right now in the real time, and then, of course, to work with the prognosis to understand what’s going to be expecting the farmer on the field in terms of the yield, in terms [00:16:00] of the crops that should be planted.

[00:16:03] Lidiia Lelechenko: Or, on the other hand, for example, what kind of risks can, um, await the farmer, uh, we have an incredible add on that kind of helps to mitigate the risks in terms of the weather conditions and also past and diseases. So, What if I would say that basically without going on the field, you can click on the polygon you’re working with, knowing, of course, what kind of a crop is growing there, what kind of a stage of the growth it is going through right now, and then to see the results.

[00:16:36] Lidiia Lelechenko: The weather forecast and understand that, oh, oh my God, there’s actually a risk coming in the way. So it might be ranged within also the level of the severity of it’s coming. And then based on this information, you and the farmer, basically. So those people who are working with that land are making the valuable decision on how.

[00:16:59] Lidiia Lelechenko: Um, and how to not either not [00:17:00] to get that affect the field or how to, like, you know, help it continue to flourish. Because in case it’s, uh, behaving itself, okay, in case all the vegetation indices are in line within the growth stages of the crop that’s been growing, then everything’s fine. You can probably stop worrying or like, you know, being anxious about what’s happening in there because we know that it’s a constant work and it’s a long thing and it’s a long process year after year, season after season.

[00:17:31] Lidiia Lelechenko: And so, by also collecting the season analytics, which is also available within the crowd monitoring platform. You will be able to understand a bit more of the global picture. So there are a lot of ways how the farmer, and not only actually the farmer, there’s so many other verticals that we’re working with, but up to date, just, you know, just to be in focusing on the farming itself on how they can, uh, profit from that.

[00:17:56] Lidiia Lelechenko: And, um, another part is also the management. I have [00:18:00] mentioned earlier that we do have a tool that is called Scout tasking. So it’s the possibility to work, not just through the computer, so through the PC with the browser on, but also through the mobile phone application.

That is actually was something that was Very extremely highly used within the project of agri exchange because a lot of farmers they all have their own mobile phones So the application is downloadable and it also works offline because we know that sometimes when you’re going to the fields they’re possible to have some internet connections, so Uh, they’re going to the direct precise spot within the coordinates that been indicated Within the crop monitoring platform.

[00:18:42] Lidiia Lelechenko: They can even log in. So it’s like I’m always imagining this, uh, um, times when we were like, you know, checking in within the social media on some specific spots. And here it is actually valuable because like this, the acronym or the other person who is behind the [00:19:00] screen on the top of the crop monitoring monitor.

[00:19:02] Lidiia Lelechenko: can actually see where the farmer has gone and was it the right direction? Was it the right spot to do the measurements or to do the picture or to the examine? Um, the land basically anything and all of these things that are being collected to the system. So, um. Like this. You can always have the access to it.

[00:19:23] Lidiia Lelechenko: You can always download any type of the information that’s been, um, transferred through this platform. So like this, you can create your own customizable reports, which is also very useful to keep the track of what is happening on the field. And I found another thing and I found it’s incredible because it has a lot of functionalities.

[00:19:44] Lidiia Lelechenko: It’s like a crop like field calendar. Uh, well, it’s like a very advanced version of the calendar where you’re going inside and you’re trying to log in in case, um, there’s some activities that were already performed or about to [00:20:00] be done as per related to the, um, tillage, fertilizing, irrigation, any kind of manipulations that are in there.

[00:20:10] Lidiia Lelechenko: And you can also add what kind of a products you have here. So what’s, um, let’s say amount of land was elaborated. What was the cost of it? And it kind of transforms the film, not just to the observing part, but also to the management part. And this is what I like it, um, about it a lot as well.

So we can give you pretty, a lot of insights and, uh, You’ve mentioned and I know that it’s true that there sometimes it can be scary, even sometimes it can be hard to convince yourself that something of a technology, especially from the perspective of the satellite, can actually see more than your naked eye can see in the field when you’re being there present, but it’s well actually the crowd monitoring is here not to compete.

[00:20:59] Lidiia Lelechenko: With your [00:21:00] naked eye is to like, you know, like your lens that kind of enhances, uh, this way of vision and it’s here, here. Uh, and it’s definitely here to, to help.

[00:21:09] Sharon Idahosa: Thank you for sharing that. Indeed. It’s here to be another eye for you and not just to, to, to make you feel like your eye isn’t working. So it’s just more like a support.

[00:21:23] Sharon Idahosa: Because I mean, I really don’t like hearing people say, Oh, technology’s got me to take my job away. It’s not taking your job away. It’s making your life easy and you just have to keep up with the trend. I mean, if you have to, um, continue to try business. So, yeah, I think that’s really, that’s really amazing.

[00:21:41] Sharon Idahosa: Initially, I was actually wondering while you were talking, how do the farmers actually get access to all of this? And then when you mentioned they have, um, they can actually download on their phones and use it to, you know, do, do what they have to do. I thought that was really, really, really great. Yes, that was really great.

[00:21:59] Sharon Idahosa: But then [00:22:00] again, I wanted to just know just one thing. Or rather two, how easy is it for farmers to navigate the platform? I mean, you know, we’re talking about farmers here, and at some point technology is advanced, whether we like it or not, or whether we want to accept it, and not everybody can easily, you know, flow with it.

[00:22:21] Sharon Idahosa: So how easy is it for them to navigate the platform? And secondly, how cost effective is the solution to a virus. Hope I didn’t throw you out of the Uh,

[00:22:34] Lidiia Lelechenko: Those are great questions, Sharon, and thank you. So, yeah, I really like this. So, um, first things first, the access to the platform is one of the easiest things that you can do.

[00:22:47] Lidiia Lelechenko: So you’re just registering within your email, you’re getting into your fields, you’re drawing the polygons, or you’re, um, basically uploading them within the shapefile or KLM, um, you name it. Um, [00:23:00] in terms of how easy or complicated. So when you will get a first glance at it, you would be like, Oh my God, there’s so many buttons, but don’t let that make you lead to an assumption that it’s a hard job to do.

[00:23:15] Lidiia Lelechenko: First, uh, we’re always working on the improvement of, um, various manuals and also the systems that, you know, look, will help you to. Navigate. The system is kind of organically built up in a way that you are switching from one tab to another. You clearly understand what they will give you in terms of the information, and in terms of the insights.

[00:23:40] Lidiia Lelechenko: Um, I can tell that, um, within, um, also we have the Full team that’s been working on the effectiveness of the platform from so many sites. Definitely, we’re talking about the people who are creating the platform. So, um, the programmers who are writing it. And [00:24:00] there’s also the designers who are understanding How that can be, um, helpful for you in terms of, you know, the visual aspects, you know, how to navigate through the platform.

[00:24:10] Lidiia Lelechenko: We’re also working with the product analyst for gathering the feedback to understand what things are probably not. Um, even if they will not be a very obvious from the first site, then within a small guidance, you will be understanding how to work with that. And also we have as well, our internal agronomist.

[00:24:30] Lidiia Lelechenko: So that’s the person who’s working himself with the platform. And he says that, uh, yeah, the platform is, um, it’s comp, it’s complex, but it can give you a lot of, uh, uh, important information once you will take a look at that, maybe take a second look and then you will definitely get familiar with it. And we also have the strong support.

[00:24:54] Lidiia Lelechenko: That’s always here to help whenever our customers can have any, any [00:25:00] questions related to the usage of the platform. Another thing that I wanted to highlight, this is important, about the easiness of use. So, the platform speaks universal language. Agriculture language. What do I mean by that? I mean that, um, we’re talking in the manners of vegetation indices.

[00:25:19] Lidiia Lelechenko: We’re talking about the in DVI, in DMI, bred team, savvy. So those are things that usually Um, agronomist and people who are working within the land, they know what it is about. But even if it’s not, so it’s so visually, like visually comprehensive when you’re taking a look at the field. So there’s always an analytics and statistics.

[00:25:42] Lidiia Lelechenko: So you’ll be meaning, okay, the green means good, right? And there’s also will be, for example, um, A measurement, a calibration. So like this, there will be an understanding. So where we have these green at this stage of the crows, it’s a normal thing, or maybe it’s something to be considered about. Plus [00:26:00] the system sends you automated notifications about the new imagery coming out about the changement of the index within the same field, for example.

[00:26:11] Lidiia Lelechenko: And it also kind of gives you small, um, let’s say not instructions, but small pinups. just to say, okay, listen, so there is a new possible risk in terms, for example, we’re talking about the path and disease risk module. So there are a lot of things that kind of help to be user friendly to, um, the farmer, to the final user.

[00:26:33] Lidiia Lelechenko: So I believe, and I hope that this kind of covers The first question that you had. And as per regard to the second question, I recently got very enlightened, actually, by once again, the speech of our agronomist, and he said that, imagine, so in case we’re going to be talking about the field, no matter how big it is, in terms of the hectares, [00:27:00] At a particular time, there will be an inevitable loss of the production within a couple of, um, percentage.

[00:27:10] Lidiia Lelechenko: So like, it’s going to be a three up to five. Sometimes it’s something that you cannot control. Um, and those three to five percent, let’s imagine those are a couple of your fields. So that means that it can be from a couple of, uh, parts of the hectare, Till a couple of hectares, meaning that in case, uh, you are gaining the profit from, uh, your field and, uh, you’re then losing those three to five percent.

[00:27:37] Lidiia Lelechenko: Um, there was a very, um, let’s say, a broad boost example of like a couple of hectares. So in case even one hectare gives you, um, a thousand dollars per year and you are losing three to five. Thousand of dollars per year, just because there are some, um, prob that you haven’t identify timely, not [00:28:00] because you’re not a good professional, but because there are just some things that are happening.

[00:28:04] Lidiia Lelechenko: So there are, uh, I will tell you that my favorite story, uh, just bear with me here. Uh, and yeah, so basically cost effectiveness, you’re losing a couple of thousand, uh, dollars, hopefully not, uh, per year. And within the crop mentoring platform, the car is very cost effective because we’re talking here about the pricing per hectare and it depending basically on the configuration of the platform, it can be a couple of dollars per hectare per year.

[00:28:33] Lidiia Lelechenko: So how can we actually like, you know, the comparison is pretty obvious. So like investing a couple of dollars per year per like per hectares basically to monitor That can save you up to, you know, like thousand dollars that, you know, you can be losing, or maybe you’re not losing, but you want to even increase the potential and increase the outcome from those Hector that you’re [00:29:00] monitoring.

[00:29:00] Lidiia Lelechenko: So I think that that that example is pretty, um, self explanatory. So when I’ve heard that, I was like, wow, but this is true. And, uh, yeah, of course, each and every situation is unique. So, as I said, we’re talking here about not just, well, like surely about the losses, but maybe, um, about the enhancement of what is already in there, but can be perfected to the certain level that it can give you even more.

[00:29:27] Lidiia Lelechenko: And, um, So just super short, my favorite story, uh, within the crop monitoring platform in, uh, one of the fields, uh, actually there were two fields of neighbor, um, neighbor farmers in Ukraine, and one of them has treated the, uh, field with the antipesticides. So he was kind of doing well, but then at some point he was using the crop monitoring and he had seen that there were some red dots within the green, green in DDI that was flourishing all around the field.

[00:29:56] Lidiia Lelechenko: He got confused because those red dots were actually [00:30:00] coming from the neighbor’s part and the neighbor’s part was not treated. And when then they got into the field throughout the specific coordinates to find what’s out in there, You know what they have seen? They have seen the nest of mice. And so this is, for me, this is still a very nice example of how remote sensing, even from the satellite level, can indicate you such a thing as the nest of mice.

[00:30:26] Lidiia Lelechenko: Who would imagine that mouse can be seen from the satellite? It’s not can be seen, of course, directly as we are imagining it. No, for sure. But we can see the consequences and we can react accordingly.

[00:30:38] Sharon Idahosa: Thank you so much for answering that question. I know it wasn’t part of, I know I can actually just switch at any point, but I’m glad that we’re able to address it as well.

[00:30:50] Sharon Idahosa: And of course, for your interesting story as well. That really means Satellite Major plays a very crucial role. I mean, something that’s [00:31:00] that you wouldn’t even expect it would just solve that for you. I mean, just see how someone else benefited from something he wasn’t paying for. I did that on my farm, but then again, it’s actually helping the other person to.

[00:31:17] Sharon Idahosa: To find a problem that is going on with, with, with this farm as well. So I think that’s really, that’s really cool. If you ask me, I’m not that techie techie techie person, but I mean, this is really cool and I really hope that we can have lots of farmers that can adopt, um, satellite imagery for monitoring their farms.

[00:31:37] Sharon Idahosa: I mean, I think this is really, this, this would really play a major role for them. Thank you so much for coming on the show to share. the work that you guys do and your solution. It’s really a good one and I hope that, uh, more farmers, more businesses can benefit from what you have to offer. Thank you so much.

[00:31:58] Lidiia Lelechenko: Thank you, Sharon, as well, for the [00:32:00] possibility to be here today and to share those insights. As I’ve said before, always happy to talk more about that. So just don’t hesitate to reach out to us. We’re very open and we’re trying to be those, um, like we are that company that kind of communicates. Uh, directly with the customer and we value this opportunity because each and every customer is a unique opportunity to get to know more about, well, the earth itself in general and about the crops and about the nature and how we can actually work on making, uh, the world better place together throughout the, um, satellite technologies.

[00:32:44] Sharon Idahosa: Thank you so much. So guys, this episode was actually brought to you by EOS Data and I really want you to go check them out and see the best ways that you can utilize their crop monitoring platform for your farm management. We have come to the end of today’s episode. I [00:33:00] hope you learn, I hope you share, I hope that you come back if you have questions.

[00:33:05] Sharon Idahosa: I’m going to definitely put it out to them to give you answers to your questions. So do well to subscribe on Spotify, Apple, Google. And so much more. So do well to visit our website as well at letstalkagriculture. com. We have our podcast page open where you can explore different, different episodes. So don’t fail to do that.

[00:33:26] Sharon Idahosa: See you once again in our next series, hopefully. Do have a lovely time guys. Cheers.

End of Transcription


This podcast was sponsored by EOS Data Analytics. EOS Data Analytics is at the forefront of harnessing the power of satellite technologies to drive businesses with fast and actionable data while preserving the environment. They are among the lead global geospatial data providers specialized in generating sustainable satellite-driven AI-powered solutions in Agriculture and Forestry, with an ability to extend solutions to other niches upon request.



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