Harvesting the Future

AI and Machine Learning in Agriculture

Inbunden, Engelska, 2026

1 856 kr

Kommande

Beskrivning

This book examines how Artificial Intelligence is reshaping modern agriculture, offering pathways toward sustainability, resilience, and efficiency. Through contributions on AI-powered image and video analysis, IoT-driven sensor networks, and drone-based monitoring, it highlights the practical applications of intelligent systems in crop health assessment and yield optimization. The chapters also address pressing challenges such as pest detection, storage loss management, and ethical considerations in AI-based decision-making. From horticulture to large-scale farming, the volume emphasizes the role of machine learning in crop recommendation, pest control, and fertilizer optimization, while exploring the integration of visual analytics for scalable agricultural monitoring. By bridging technological advances with real-world agricultural practices, the book demonstrates how AI fosters sustainable farming and global food security. It is an essential resource for scholars, students, practitioners, and policymakers in agriculture, computer science, and environmental studies who seek to harness innovation for regenerative farming.

Produktinformation

Utgivningsdatum:2026-08-01
Mått:148 x 212 x undefined mm
Format:Inbunden
Språk:Engelska
Antal sidor:213
Förlag:Cambridge Scholars Publishing
ISBN:9781036474652

Utforska kategorier

Miljöteknik inom Naturvetenskap och teknik
Agronomi inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Mer om författaren

Saimul Bashir is a PhD scholar in Computer Science and Engineering at the Islamic University of Science and Technology, with prior teaching experience as Assistant Professor at Chandigarh University, India. His research spans artificial intelligence, data-driven agriculture, and machine learning, and he has published widely in international conferences and edited volumes.Dr Adil Bashir is a Senior Assistant Professor in the Department of Computer Science and Engineering at the Islamic University of Science and Technology (IUST), Kashmir, India. He earned both his PhD and MTech from the National Institute of Technology (NIT) Srinagar, India. His research focuses on IoT, wireless sensor networks, cybersecurity, and machine learning. He has published widely in reputed journals, conferences, and book chapters. Dr Bashir has successfully completed several sponsored projects and serves as a reviewer for leading international journals.Mehnaz Batool is a PhD scholar in Computer Science at the Islamic University of Science and Technology. Her research interests include network security, deep learning, and AI-driven secure communication. She has presented her work at international conferences and contributed to scholarly volumes on blockchain, ethics, and artificial intelligence.