Hands-On AI and Generative AI for Agriculture: From Theory to Field Implementation

Synopsis

Authored by Vikram Singh Sankhala, "Hands-On AI and Generative AI for Agriculture" offers a comprehensive guide to integrating artificial intelligence and generative AI into modern farming practices. Addressing critical global challenges such as resource depletion, climate change, and food security, this book provides innovative, data-driven solutions for optimizing resource use, predicting weather patterns, managing pests, and improving soil health. It is specifically designed to bridge the knowledge gap, making advanced technology understandable and actionable for field trainers, extension workers, farmers, agribusinesses, and technical professionals, fostering sustainable and efficient practices through accessible, hands-on training. This book goes beyond theory, offering a unique blend of foundational concepts and practical application. It guides readers step-by-step through essential processes, including data collection via sensor networks, building AI models for tasks like crop disease detection, deploying solutions on the farm using edge devices and virtual assistants (AgBots), and establishing systems for continuous monitoring and improvement. Featuring practical exercises, real-world case studies, and guidance on ethical AI use, the book empowers the agricultural community with the tools and confidence needed to leverage AI and generative AI for smarter, more sustainable, and more profitable farming, driving innovation and competitiveness in a rapidly evolving sector.