Building agricultural database for farmers

1. 1Develop a database of locally-derived agricultural best practices
2. 2Integrate the database with government partners' information
3. 3Use Retrieval Augmented Generation (RAG) to provide accurate and reliable advice
4. 4Test and validate the chatbot's responses to ensure accuracy and reliability

This project benefits data scientists, AI engineers, and product managers who work on building and implementing AI-powered solutions for social impact, as it showcases the potential of generative AI in improving agricultural practices and increasing farmer income

💡 Generative AI can be used to provide personalized advice and information to farmers, improving their practices and increasing their income

🌾💻 Digital Green's Farmer.Chat uses #OpenAI to provide farmers with tailored advice and info, increasing income by 24% #agtech #AIforGood