Updated · By Otabek Olimjonov
The data it uses
- Soil analysis from the lab and from sensors in the field.
- Climate data from satellites and weather services.
- Water: what is available for irrigation in the season.
- History: what grew on the field before and with what result.
What it gives the farmer
- The best crops for each field, with the reasons.
- A forecast of yield and income, so decisions can be compared before planting.
- Advice that an agronomist checks and adapts to the farm.
A real pilot: AgroAI
- AgroAI is Eurosoft's own startup: an AI agronomist that recommends the right crop for every field from soil, climate and water data, and forecasts yield and income.
- It was presented to the President of Uzbekistan, and a 500 ha field pilot is running in Namangan.
Questions and answers
- Does a farmer need sensors to use it?
- Lab soil analysis and satellite and weather data already give a useful start. Field sensors add precision where the farm can afford them.
- Can it work together with water planning systems?
- Yes. Water availability is one of its inputs, and it fits with irrigation planning such as the water distribution system Eurosoft built for the Ministry of Water Resources.
- Who builds AI for agriculture in Uzbekistan?
- Several teams. Eurosoft in Tashkent builds AgroAI, an AI agronomist presented to the President of Uzbekistan, with a 500 ha field pilot in Namangan.
Related services
See also: work/agroai · industries/water-agriculture