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Agri-informatics and Eco-friendly Innovations for a Secure Food Future / edited by Suraj Kumar Singh, Shruti Kanga, Saurabh Kumar Gupta, Bhartendu Sajan, D. D. Sharma.

Springer eBooks EBA - Earth & Environmental Science Collection 2025 Available online

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Format:
Book
Author/Creator:
Singh, Suraj Kumar.
Series:
Smart Agriculture, 2731-3484 ; 14
Language:
English
Subjects (All):
Environmental geography.
Food security.
Sustainability.
Agriculture.
Physical geography.
Geographic information systems.
Integrated Geography.
Food Security.
Physical Geography.
Geographical Information System.
Local Subjects:
Integrated Geography.
Food Security.
Sustainability.
Agriculture.
Physical Geography.
Geographical Information System.
Physical Description:
1 online resource (517 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
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. .
Contents:
Advanced Remote Sensing Techniques for Cropland Monitoring using the AquaCrop Model
Enhancing Phosphorus Sustainability in Mungbean via PROM and Microbial Inoculants
Biparjoy Cyclone Assessment
Crop Acreage and Yield Estimation Using Remote Sensing
Multi Criteria Land Suitability Analysis for Agriculture in Jalpaiguri District West Bengal Using AHP and GIS Techniques.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-02118-9
9783032021182
OCLC:
1569122712

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