Agents outnumbered 650:1 couldn't keep pace. Now, a GPT-4 tool helps them diagnose crops from photos in local languages.
A global development organization partnering with governments in India and Kenya to support millions of rural farmers through a library of 8,000 training videos in over 50 languages.
India's agricultural support network faces a severe resource gap, with an agent-to-farmer ratio of just 1:650. This shortage made it impossible to...
“With videos, we’ve been able to replicate success from farm to farm within a region, enabling farmers to learn from one another—while also growing a database of locally-derived agricultural best practices. With OpenAI, we saw an opportunity to leverage this database to help farmers learn from one another at a previously unimaginable scale.”
AI-powered agricultural extension platform providing advice to smallholder farmers.
AI research and deployment company developing generative models and tools.
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With one agent per 1,000 farmers, support lagged. AI now cross-checks 46,000 research papers to answer 340,000 questions.
Agents traveled days to government outposts for crop advice. A WhatsApp AI now provides verified answers in seconds, saving harvests.
Text interfaces locked out low-literacy farmers. A voice AI now answers in local dialects, bypassing the need to read.
Tracking relied on static docs and voicemail. Centralized logs and AI search now coordinate transplants, increasing capacity 4x.
Staff manually searched websites for 30 minutes per report. AI now scours the web to build interview guides in five minutes.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.