Artificial Intelligence in Crop Water Management A Path to Conservation and Productivity | 83.57 MB
Title: Artificial Intelligence in Crop Water Management A Path to Conservation and Productivity
Author: R. K. Naresh, R. K. Gupta, Rajbir Garg, R. K. Sohane, J. P. Singh, O. P. Gupta, Arun Kumar, Shivam Gupta, Vineet Kumar
Category: Nonfiction, Science & Nature, Technology, Agriculture & Animal Husbandry, Computers, Advanced Computing, Artificial Intelligence
Language: English | 739 Pages | ISBN: 9781040988558
Description:
This book examines artificial intelligence applications in agricultural water management and irrigation systems. It covers AI-driven approaches including machine learning, deep learning, and neural networks for optimizing water-use efficiency in crop production. The text discusses integration of AI with IoT, smart sensors, remote sensing, GIS, and cloud-based platforms for precision water management, and: This title has been co-published with Elite Publishing House. T&F does not sell or distribute the print versions in India. This book examines artificial intelligence applications in agricultural water management and irrigation systems. It covers AI-driven approaches including machine learning, deep learning, and neural networks for optimizing water-use efficiency in crop production.
This book examines artificial intelligence applications in agricultural water management and irrigation systems. It covers AI-driven approaches including machine learning, deep learning, and neural networks for optimizing water-use efficiency in crop production. The text discusses integration of AI with IoT, smart sensors, remote sensing, GIS, and cloud-based platforms for precision water management, and: This title has been co-published with Elite Publishing House. T&F does not sell or distribute the print versions in India. This book examines artificial intelligence applications in agricultural water management and irrigation systems. It covers AI-driven approaches including machine learning, deep learning, and neural networks for optimizing water-use efficiency in crop production.
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