Agri-informatics and Eco-friendly Innovations for a Secure Food Future - Couverture rigide

 
9783032021175: Agri-informatics and Eco-friendly Innovations for a Secure Food Future
Couverture rigide
ISBN 10 : 3032021170 ISBN 13 : 9783032021175
Editeur : Springer Nature Switzerland AG, 2026

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. 

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2026
Langue
anglais
ISBN 10 
3032021170
ISBN 13 
9783032021175
Reliure
Relié
Nombre de pages
437
Éditeur
Singh Suraj Kumar, Kanga Shruti, Gupta Saurabh Kumar, Sajan Bhartendu, Sharma D. D.
Coordonnées du fabricant
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