Computational Intelligence in Sustainable Agriculture
About the Book Series
The advancement of sustainable agriculture relies on computational intelligence, integrating artificial intelligence, machine learning, and data analytics to streamline farming methods and resource allocation. This series focuses on intelligent computational analysis in sustainable agriculture, addressing innovations, challenges, and solutions. It emphasizes IoT's role, facilitating data analytics, machine learning, and predictive analysis. The series includes works that analyze extensive agricultural data like weather patterns and soil conditions, enabling eco-friendly farming approaches.
Smart Agriculture for Sustainable Practices: The Role of AI, IoT, and Machine Learning
1st Edition
Edited
By S. N. Kumar, Sherin Zafar, Arun S, Sameena Naaz, M. M. Sufyan Beg, Eduard Babulak
December 03, 2025
This book offers insights into how modern technologies are transforming agriculture with a focus on sustainability. It explores the current applications of technologies such as AI, IoT, and machine learning, and their impact on improving crop yield, resource efficiency, and environmental impact. ...