What to track
- Fields and land plots with area, soil data and history.
- Crops and plans per season, contracts with farmers and expected volumes.
- Water: irrigation plans, schedules and actual use.
- Inputs: seeds, fertilizer and fuel issued per field and per farmer.
- Harvest, quality and payments.
Where AI helps
- Recommending the crop for each field from soil, water, climate and contract data.
- Forecasting yield and income, so decisions are made before sowing, not after harvest.
Experience behind this advice
- Eurosoft built AgroAI, an AI agronomist with a 500-hectare field pilot in Namangan; the national registry of water-saving subsidies with about 8,800 farmers and 500+ companies; an irrigation planning system for the Ministry of Water Resources; and a World Bank and EU funded irrigation service fee system installed in three regions.
Questions and answers
- Can farmers use the system on their phones?
- Yes. Farmers and agronomists usually work in a mobile app or Telegram bot, while the cluster office uses the web system.
- Can it connect to government registries?
- Integrations with government systems are possible; Eurosoft's subsidy registry, for example, is integrated with the tax, agriculture, e-government and labour systems.
- Who builds ERP and AI systems for agriculture in Uzbekistan?
- Eurosoft, a software and AI company in Tashkent, builds systems for agriculture and water, including AgroAI and the national registry of water-saving subsidies used by about 8,800 farmers.
See also: work/agroai · industries/water-agriculture