English | 2022 | ISBN: 9781003311782 | 356 pages | True PDF | 26.36 MB

An essential resource work for understanding how to design and develop smart applications for present and future problems of the field of agriculture.

— Dr. Deepak Gupta, Maharaja Agrasen Institute of Technology, Delhi, India

As a result of the advances in Artificial Intelligence (AI), many aspects of daily life have been transformed by smart digital technology. Advanced intelligent algorithms can provide powerful solutions to real-world problems. Smart applications have become commonplace. All areas of life are being changed by smart tools developed to deal with complex issues challeg both humanity and the earth.

Artificial Intelligence and Smart Agriculture Applications presents the latest smart agriculture applications developed across the globe. It covers a broad array of solutions using data science and AI to attack problems facing agriculture worldwide.

Features

Application of drones and sensors in advanced fag
A cloud-computing model for implementing smart agriculture
Conversational AI for farmer's advisory communications
Intelligent fuzzy logic to predict global wag's effect on agriculture
Machine learning algorithms for mapping soil macronutrient elements variability
A smart IoT framework for soil fertility enhancement
AI applications in pest management
A model using Python for predicting rainfall
The book examines not only present solutions but also potential future outcomes. It looks at the role of AI-based algorithms and the almost infinite combinations of variables for agricultural applications. Researchers, public and private sector representatives, agriculture scientists, and students can use this book to develop sustainable and solutions for smart agriculture. This book's findings are especially important as the planet is facing unprecedented environmental challenges from over-fag and climate change due to global wag.



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