Author Description

At a time when sustainability and food security are priorities at the international level, this book is a timely and trenchant survey of how advanced computational methods are reengineering the world of agriculture. Edited from an interdisciplinary perspective and written by top researchers and practitioners, this multi-contributor volume gathers the most recent advances on AI-based plant science, soil and water management, climate-resilient agriculture, and precision farming. Extending over seventeen chapters, the book explores areas of plant phenotyping with machine learning, disease detection with deep neural networks, genomic prediction, bioinformatics tools for sequence analysis, and the application of Geographic Information System (GIS) in precision farming. It emphasizes theoretical underpinnings as well as practical applications, making it a useful resource for researchers, students, agritech experts, and anyone interested in the integration of agriculture and intelligent systems. With a visionary concluding chapter on emerging trends in AI for agriculture, this book is an essential guide for the future generation of smart farming technologies.