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Generative AI for Agriculture & Food Security by quantatechrevan is a document available to read on EtoBox.
What is Generative AI for Agriculture & Food Security about?
This paper discusses the transformative role of Generative Artificial Intelligence (AI) in agriculture and food security, focusing on applications such as crop yield prediction, soil health monitoring, and precision farming. It highlights the potential of AI-driven innovations to enhance food security and sustainable agricultural practices while addressing challenges like climate change and resource limitations. The study also examines case studies, ethical considerations, and future research opportunities
- Author
- quantatechrevan
- Language
- EN