Farming 5.0 : Deep Learning for the Future-Generation Agriculture

Agriculture is experiencing a technology renaissance with deep learning leading the way.This volume addresses how advanced AI methods are transforming the future of farming, food systems, and environmental sustainability.It is forward-looking guide to integrating smart systems in agriculture across all scales - from soil to satellite.The volume comprises contributions from international leaders in AI, agronomy, genomics, remote sensing, and robotics.It addresses a broad array of emerging topics, such as autonomous farming systems, UAVs, and deep reinforcement learning for field operations; computer vision and hybrid models for crop, weed, and livestock detection; and advanced edge and federated learning approaches to real-time, privacy-conscious decision-making.It also discusses explainable AI for transparent agricultural models, deep learning in crop genomics and trait prediction, biodiversity monitoring, and time-series forecasting of pests and climate stress.Generative AI for generating synthetic agricultural data and simulating digital farms with AR/VR and digital twins are also covered.With a particular focus on climate-smart agriculture, the book addresses the role that deep learning can play in promoting resilient, adaptive, and sustainable food systems under climate change and food insecurity globally.It concludes with an examination of the ethical, regulatory, and policy issues, presenting a vision for inclusive, human-centric AI in agriculture. This book will be useful for researchers, practitioners, graduate students, and policymakers operating at the nexus of AI and agriculture.It is both- a reference and a vision book for the future generation of smart and sustainable farm technologies.