FarmerChat:
hyper-local, expert farming advice at scale

Helping millions of smallholder farmers access trusted agricultural knowledge instantly.

The Challenge

Millions of farmers make critical decisions every day without timely advice

Every season, smallholder farmers face decisions with lasting consequences: when to plant, what to apply, how to protect a crop. The right guidance at the right moment can decide a year’s yield and their family’s livelihood.

FarmerChat meets farmers where they are: in their language, on their phone, in seconds. No appointments, no jargon, no waiting for answers.

By the numbers

0.0M+Users in the last 12 months
0MQuestions answered
0%Farmers apply advice within 30 days

With FarmerChat, the cost per farmer to apply a new practice has dropped from $35 to under $1, and a single answer costs less than four cents.

Solution

FarmerChat delivers personalized farming guidance & tips instantly

A farmer in a maize field with the FarmerChat question bar overlaid.

Ask a question any way

Voice, text, or photo. Farmers communicate naturally in the moment, and FarmerChat responds.

A farmer in a field with FarmerChat's share-location prompt overlaid.

Personalized to every location

Advice is tuned to local soils, crops, and climate so the guidance matches what actually grows there.

A farmer in a field with the FarmerChat chat interface overlaid.

In any language

FarmerChat works in any language a farmer speaks. We build the technology that makes it possible.

“I became so happy after I listened to the details of my challenge through voice. It didn’t take money. It took the right information at the right time.”
Aster Alemu, Hadiya, Ethiopia

FarmerChat Insights

Open Source for Good

Explore the open research and datasets behind FarmerChat.

  • Benchmarking Agricultural Speech Recognition

    Open benchmarks for low-resource languages, so voice systems work for farmers who most need them.

    Read the paper
  • FarmerChat Agricultural Q&A Dataset

    Open dataset of 1.4M farmer questions and FarmerChat generated answers across languages and crops.

    View on Hugging Face