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This book, 'Digital Agricultural Ecosystem,' edited by Kuldeep Singh and Prasanna Kolar, explores revolutionary advancements in agriculture through digital technologies. It discusses the roles of various entities such as farmers, technology providers, researchers, policymakers, and customers within the digital agricultural ecosystem. The book delves into elements like hardware, software, data, and human capital, emphasizing their impact on efficiency and profitability in agriculture. It also covers topics like smart and sustainable agriculture, digital trends in the agri-food sector, and the adoption of blockchain technology in supply chains. The work aims to provide insights into transforming Indian agriculture using efficiency analysis, targeting professionals, researchers, and policymakers in the agricultural field.
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This book is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios.
Artificial intelligence --- Machine learning. --- Agricultural informatics. --- Agricultural applications.
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