04087nam 22006013 450 991101997660332120250320002726.0978139418666213941866659781394186686139418668197813941866791394186673(MiAaPQ)EBC31758736(Au-PeEL)EBL31758736(CKB)36516528200041(CaSebORM)9781394186297(Perlego)4620401(Exl-AI)31758736(OCoLC)1470859935(EXLCZ)993651652820004120241111d2024 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputer Vision in Smart Agriculture and Crop Management1st ed.Newark :John Wiley & Sons, Incorporated,2024.©2025.1 online resource (402 pages)9781394186297 1394186290 Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Computer Vision-Based Innovations for Smart Agriculture and Crop Surveillance: Evolution, Trends, and Future Challenges -- 1.1 Introduction -- 1.2 Artificial Intelligence in Agriculture -- 1.3 Evolution of Smart Agriculture -- 1.4 AI Technology Trends in Computer Vision -- 1.5 Benefits of Artificial Intelligence in Agriculture -- 1.5.1 Improving the Whole Supply Chain -- 1.5.2 Agricultural Robotics -- 1.5.3 Policy, Governance and Market Access -- 1.5.4 Early Warning System -- 1.5.5 Food Safety and Traceability -- 1.5.6 Financial Inclusion and Risk Management -- 1.5.7 Capacity Building and Empowerment -- 1.5.8 Growth Driven by IoT -- 1.5.9 Image-Dependent Insight Generation -- 1.5.10 Identification of Optimal Mix for Agronomic Products -- 1.5.11 Monitoring of Crops and Soil Health -- 1.5.12 Automation Techniques in Irrigation and Enabling Farmers -- 1.5.13 Drones: The New Buzz in AI-Driven Agriculture -- 1.6 Precision Farming -- 1.7 Future Challenges -- 1.8 Conclusion -- References -- Chapter 2 Cyber Biosecurity Solutions for Protecting Smart Agriculture and Precision FarmingGenerated by AI.This book is essential for anyone interested in understanding how smart agriculture, utilizing information and technology such as computer vision and deep learning, can revolutionize agriculture productivity, resolve ongoing concerns, and enhance economic and general effectiveness in farming. The need for a reliable food supply has driven the development of smart agriculture, which leverages technology to assist farmers, especially in remote areas. A key component is computer vision (CV) technology, which, combined with deep learning, can manage agricultural productivity and enhance automation systems for improved efficiency and cost-effectiveness. Automation in agriculture ensures benefits like reduced costs, high performance, and accuracy. Aerial imaging and high-throughput research enable effective crop monitoring and management. Computer vision and AI models aid in detecting plant health, impurities, and pests, supporting sustainable farming. This book explores using CV and AI to develop smart agriculture through deep learning, data mining, and intelligent applications. Precision farmingGenerated by AISustainable agricultureGenerated by AIPrecision farmingSustainable agriculture338.10285Dhanaraj Rajesh Kumar1380450Balusamy Balamurugan1340583Samuel Prithi1770114Sathyamoorthy Malathy1766043Bashir Ali Kashif1762152MiAaPQMiAaPQMiAaPQBOOK9911019976603321Computer Vision in Smart Agriculture and Crop Management4416248UNINA