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

Name: Agri-informatics and Eco-friendly Innovations for a Secure Food Future
Price: 273.14 AUD
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ISBN: 9783032021175

Suraj Kumar Singh, Shruti Kanga, Saurabh Kumar Gupta , Bhartendu Sajan

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Hardback

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English

Springer Nature Switzerland AG
10 January 2026

Geography; Physical geography & topography; Sustainability; Agricultural science

Series: Smart Agriculture

Summary
Details

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.

Edited by: Suraj Kumar Singh, Shruti Kanga, Saurabh Kumar Gupta, Bhartendu Sajan, D. D. Sharma
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783032021175
ISBN 10: 3032021170
Series: Smart Agriculture
Pages: 430
Publication Date: 10 January 2026
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active