AI BriefingBuilding an Agricultural Database for Farmers
Key point
Digital Green cuts agricultural support costs by 100x through Farmer.Chat, built on OpenAI technology, delivering personalized information.
Details
In agricultural fields, expert advice is essential for responding to climate change, but the ratio of extension agents to farmers in places like India and Kenya is only 1:650, limiting the ability to support all farmers.
Digital Green developed Farmer.Chat, built on OpenAI's technology, to address this problem. This service uses RAG (Retrieval Augmented Generation) technology to integrate a vast agricultural database—including training video scripts, call center logs, and crop research materials—to provide accurate information.
The recently launched Farmer.Chat GPT offers the following powerful features:
- Multimodal input: Diagnoses crop conditions through photos and provides real-time solutions
- Real-time information: Provides weather and market price information
- Multilingual support: Enhanced accessibility through support for regional languages such as Hindi and Swahili
Through this technology, existing agricultural support service costs are expected to be reduced 100-fold, from $35 to $0.35 per farmer. Currently, more than 4,500 extension agents in India and Kenya are using this tool.
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