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Smart Farming, smarter solutions -

Smart Farming, smarter solutions

revolutionizing agriculture with artificial intelligence
Buch | Hardcover
270 Seiten
2025 | 1. Auflage
CRC Press (Verlag)
978-1-032-86360-3 (ISBN)
CHF 226,95 inkl. MwSt
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This book presents a comprehensive exploration of how AI technologies are transforming modern agriculture. With contributions from experts across the globe, it covers a wide spectrum of smart farming innovations including AI-powered crop monitoring, precision irrigation, robotics, drones, big data, and supply chain optimization.
Smart Farming, Smarter Solutions: Revolutionizing Agriculture with Artificial Intelligence presents a comprehensive exploration of how Artificial Intelligence (AI) technologies are transforming modern agriculture. With contributions from experts across the globe, the book covers a wide spectrum of smart farming innovations including AI-powered crop monitoring, precision irrigation, robotics, drones, big data, and supply chain optimization. This volume, designed for researchers, practitioners, students, and policy-makers, showcases cutting-edge developments that promote sustainable and climate-resilient agriculture. It is an essential reference for understanding the intersection of artificial intelligence and agriculture in building future-ready farming systems.

Dr. Manojit Chowdhury is a Subject Matter Specialist at KVK, ICAR-CIAE, Bhopal, India, with expertise in Precision Agriculture, Automation and Farm Mechanization. He was awarded with Young Researcher Award and Dr. K. N. Synghal Memorial Gold Medal for his Ph.D. He has published numerous research and review papers, book chapters, registered patents and copyrights, and has commercialized developed technology. He aims to integrate research with field applications to drive smart, technology-enabled solutions for sustainable agriculture. Er. Nand Lal Kushwaha is a Ph.D. scholar in Soil and Water Conservation Engineering at Punjab Agricultural University, Ludhiana. He is a scientist at ICAR-IARI, New Delhi, with over five years of experience in applying ML to water resource management. He has published more than 45 research papers in international journals and two edited books with citations of more than 1600. His research focuses on AI in water management, watershed modelling and remote sensing applications. Dr. Gourav Dhar Bhowmick is an Assistant Professor at the Agricultural and Food Engineering Department of IIT Kharagpur, India. His research focuses on advanced 3D agri-aquacultural and hybrid bio-electrochemical wastewater treatment systems. He is a BCSC postdoctoral fellow from Ben-Gurion University of the Negev, Israel, proud alumnus of IIT Kharagpur, and GYTI Award-2016 recipient. His work drives innovation in wastewater treatment, bioenergy, and sustainable agriculture, inspiring technologists and entrepreneurs towards a greener future.

Preface. The Role of Artificial Intelligence in Agriculture. Big Data in Agriculture: Acquisition, Processing and Implications. IoT Sensors and Their Applications in Precision Agriculture. Drones in Agriculture: Aerial Intelligence for Precision Farming. Robotics on the Farm: Automating Tasks for Increased Productivity. Modern Technologies for Soil Health Monitoring and Management. Crop Disease Detection and Prevention Using Artificial Intelligence. Weed Management Strategies Employing Artificial Intelligence and Robotics. Smart Irrigation Techniques and Water Conservation for Climate-Resilient Food Systems. Supply Chain Optimization in Agribusiness with Artificial Intelligence. Sustainable Farming Practices Enhanced by Artificial Intelligence. Enhancing Food Safety and Quality Assurance through Artificial Intelligence. Index.

Erscheinungsdatum
Zusatzinfo Illustrationen
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 670 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Weitere Fachgebiete Land- / Forstwirtschaft / Fischerei
ISBN-10 1-032-86360-9 / 1032863609
ISBN-13 978-1-032-86360-3 / 9781032863603
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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