Description
Precision agriculture is revolutionizing the way we grow crops, combining Artificial Intelligence, Big Data, and smart technologies to maximize yield and sustainability. Precision Agriculture: AI and Big Data for Maximum Crop Yields guides readers through the latest innovations in tech-enabled farming, from sensor-driven monitoring and drone surveillance to predictive analytics and autonomous machinery.
Through real-world case studies from India, the US, Israel, and Africa, this book demonstrates how AI and Big Data empower farmers to make data-driven decisions, optimize resource use, and improve crop productivity. Explore advanced irrigation and fertilization systems, robotics in farming, yield forecasting, and geospatial analytics, all designed to enhance efficiency and reduce environmental impact.
Told across sixteen detailed chapters, readers will gain insight into:
• AI applications for crop monitoring, pest detection, and disease prevention
• Smart irrigation, nutrient optimization, and resource-efficient practices
• Autonomous tractors, drones, and robotic systems for precision farming
• Big Data collection, geospatial analytics, and predictive modeling for yield forecasting
• Case studies showcasing practical applications of AI and Big Data in global agriculture
• Ethical considerations, data privacy, and policy frameworks for responsible adoption
Perfect for readers who are:
✔ Agritech professionals and researchers
✔ Farmers and farm managers seeking tech-driven solutions
✔ Policymakers and government officials interested in food security
✔ Anyone passionate about the intersection of AI, Big Data, and modern agriculture
Whether your goal is to enhance productivity, minimize waste, or adopt innovative farming solutions, this book provides actionable insights, practical examples, and a roadmap for the future of smart, sustainable agriculture.
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