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

Name: Agri-informatics and Eco-friendly Innovations for a Secure Food Future
Brand: Springer
Availability: OutOfStock
Rating: 5 (1 reviews)

By Sharma, D. D.

0 - Default Title

Description

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.

Product details

Number of Pages:

440

Release Date:

2026-01-10

Publication Date:

2026-01-10

Publisher:

Springer

Languages:

Original: English

ISBN10:

3032021170

ISBN13:

9783032021175

GPSR Manufacturer Reference:

[email protected]

Weight:

820 g

Height:

160 cm

Width:

241 cm

Thickness:

30 cm

Buy on Amazon

Currently sold out