How farmer Alexander uses AgriGPT to save time, reduce costs and increase yields

Alexander manages a farm in Central Ukraine with an area of 2,150 hectares. He grows corn, wheat and sunflower. In the 2025 season, he decided to test AgriGPT — an AI assistant for farmers that works directly in Telegram and helps make decisions based on agricultural data, NDVI maps and weather forecasts.

Interview

— Alexander, tell us a little about your farm.

We are a family farm, we have about 2,150 hectares. Main crops are corn, wheat and sunflower. In recent years, the biggest problem has been unpredictable weather and rising fertilizer costs.

— How did you learn about AgriGPT?

I heard about the product in an agro-chat. I liked that it's an AI assistant for farmers that works directly in Telegram. No need to install complex programs — everything is simple and accessible.

— What tasks did AgriGPT help with first?

First — viewing fields and NDVI index. I uploaded field coordinates and received a vegetation map directly in the chat. This helped quickly understand which areas were lagging in development. Second — fertilizer recommendations. I asked if additional nitrogen application was needed, and it compared NDVI data and weather.

— Can you give a specific example?

In spring, we suspected nitrogen deficiency on 50 hectares of corn. Usually I would wait for an agronomist to inspect the field. With AgriGPT, I immediately checked the NDVI map, got confirmation and asked what application options would be optimal. As a result, I saved a week of time and about 13% fertilizer costs.

— What other functions were useful?

I liked that AgriGPT understands questions in any language. We tested in Ukrainian, Russian and English. For farms where foreign specialists work, this is very convenient. I also simply uploaded all the data I had, AgriGPT saved it and now I can quickly clarify questions and get recommendations based on my field data.

— How has your approach to farm management changed?

Previously, we relied more on "feeling" and experience. Now I have a quick tool for testing hypotheses. I feel more confident — decisions become more accurate. Of course we double-check everything and don't blindly follow AgriGPT recommendations, but their accuracy and depth is impressive.

— What would you advise other farmers?

Try it. AgriGPT doesn't replace an agronomist, but it's an excellent assistant: it's always at hand, works 24/7 and helps save resources.

Conclusion

Alexander's experience shows that AgriGPT can become a real assistant in precision agriculture. The AI assistant helps farmers use NDVI maps, analyze data and make decisions faster, reducing costs and increasing yields.

Keywords: AI assistant for farmers, NDVI maps, precision agriculture, cost reduction, yield increase, agricultural data.