AI in Agricultural Development
While care must be taken in the use of maturing tools such as AI, it is good to be aware of opportunities and challenges. This collection will provide links to a few resources relevant to the topic.
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2022-05-20 USAID, 2022 As AI technologies are embedded and intertwined in digital ecosystems, a responsible approach to AI should include strengthening key aspects of the enabling ecosystem. This includes data systems, connectivity, and local workforce capacity. In addition, there must be a focus on...
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Overview AgroLLM is an AI chatbot for agriculture knowledge-sharing Uses LLMs with Retrieval-Augmented Generation (RAG) framework Leverages open-source agricultural database for accurate responses FAISS vector database enables efficient knowledge retrieval Compared performance of Gemini 1.5...
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We are releasing for beta testing our new AI that combines multiple AIs and third-party tools and datasets, such as weather forecasts and soil data to give more specific answers. We are actively evaluating multiple AI models for accuracy, relevance and cost, and we update the PlantVillage AI as...