AI agronomist for farmers and field teams, in local languages

What is the AI agronomist?

The AI agronomist is an assistant that answers agronomic questions from farmers and field teams, in their own language. It is part of the Farmer1st platform, which is offline-first in the field, with AI added to support farmers and the teams who use the tools.

Farmers can ask about pruning, fertilisation, pests, diseases, shade or post-harvest handling, by text or voice, or send a photo of what they see on the plant. The assistant replies with practical steps, grounded in agricultural guidance rather than improvised.

Why do farmers need it?

Extension services reach only part of the world’s 500 million smallholders, and visits are infrequent. Between visits, a farmer who notices a problem on a plant often has no one to ask. Field teams, for their part, cover many farmers and several crops, and cannot be experts in everything.

The AI agronomist gives both groups an answer when they need it, and helps route the difficult cases to the people who can deal with them in person.

Where do the answers come from?

The assistant draws on a shared agricultural knowledge base. When a question comes in, it retrieves the guidance that applies to that crop and context, then writes an answer based on it. The knowledge base brings together:

• good agricultural practice guides for each crop;
• crop, pest and disease references;
• programme and certification material contributed by organisations on the network;
• recommendations validated by agronomists.

Answers show what they rely on, so a field agent or supervisor can check the source of the advice.

How does photo-based triage work?

A farmer or field agent takes a photo of a leaf, pod, cherry or trunk. The assistant suggests the most likely causes, such as a pest, a disease or a nutrient deficiency, and the next steps. When it is not confident, or when the problem looks serious or spreading, the case is flagged to an agronomist or field agent with the photo and conversation attached. Repeated reports from one area can also signal an outbreak early.

Why is the knowledge base pre-competitive?

Every buyer, cooperative and programme needs good agronomic advice for farmers. Building it separately, crop by crop and language by language, multiplies the cost and produces uneven quality.

On Farmer1st, the agricultural knowledge base is pre-competitive by choice: built once and maintained together by the organisations that decide to contribute. What each organisation adds for its own farmers, such as its own programme material or specific recommendations, stays private unless it decides otherwise. See how this works on the pre-competitive network.

How does it fit with training and field work?

The AI agronomist works alongside the rest of the platform:

Questions farmers ask are a signal in themselves: they show where knowledge is missing, which crops face which problems, and where support should go next.

Who uses it?

• Food and agri companies supporting productivity and quality in their supply base.
• Governments and national programmes extending the reach of extension services.
• NGOs, donors and development agencies running farmer support programmes.

Farmer1st is the first-mile infrastructure built around farmers: a farmer-controlled network where companies, governments and organisations collect, verify and share origin data, and build the services they need on top of it.

Can the assistant be adapted to our crops and languages?

Yes. Modules switch on as you need them. If you need a crop, a language or a specific advisory flow that is not covered yet, we prototype it with you in the Nursery.