Agri-Informatics and Eco-Friendly Innovations for a Secure Food Future

Singh, Suraj Kumar (Editor)/ Kanga, Shruti (Editor)/ Gupta, Saurabh Kumar (Editor)/ Sajan, Bhartendu (Editor)/ Sharma, D. D. (Editor)

ISBN 10: 3032021170 / ISBN 13: 9783032021175

Published by Springer Nature, 2025

About this Item

180 pages. 9.26x6.11x9.21 inches. In Stock. This item is printed on demand.

Seller Inventory # __3032021170

Bibliographic Details

• Title: Agri-Informatics and Eco-Friendly Innovations for a Secure Food Future
• Publisher: Springer Nature
• Publication Date: 2025
• Language: English
• ISBN 10: 3032021170
• ISBN 13: 9783032021175
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.8 kilograms

About this title

Synopsis

Food security is a critical global challenge, aiming to provide sufficient and healthy food for all. The United Nations has set Sustainable Development Goals (SDGs) to achieve global prosperity while ensuring environmental protection. Machine learning (ML) techniques play a crucial role in understanding and predicting food security. Key applications include cropland mapping, crop type identification, yield prediction, and field delineation. Challenges include handling complex data and ensuring rigorous evaluation. Looking ahead, advanced techniques such as AI and interdisciplinary collaborations will drive progress toward a hunger-free and sustainable future. 

This book concentrates on the fundamentals and uses of environment science perspective on Food security using cutting-edge methods of spatial information and artificial intelligence. Experts and researchers in the fields of agriculture, environmental science and engineering, disaster management, remote sensing, and geographic information systems have contributed to this volume.