The primary aim of this book, “Smart Farming with Machine Learning,” is to explore the role of machine learning in transforming traditional agricultural practices into intelligent and automated farming systems. The book provides a comprehensive overview of how data-driven technologies can improve productivity, reduce operational costs, and promote sustainable agricultural practices.
This book has been written to serve a wide range of readers, including students, researchers, agricultural scientists, data analysts, and professionals interested in the intersection of agriculture and modern computing technologies. The chapters are designed to present both theoretical concepts and practical applications, helping readers understand how machine learning can be implemented to address real-world agricultural challenges.
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