05378cam a2200649 i 4500 9781003508625 FlBoTFG 20251030122256.0 m o d cr cnu---unuuu 240923t20252025flua ob 001 0 eng OCoLC-P eng rda OCoLC-P 9781003508625 electronic book 1003508626 electronic book 9781040269091 electronic book 1040269095 electronic book 9781040269053 (electronic bk. : PDF) 1040269052 (electronic bk. : PDF) 9781032832807 hardcover 9781032832821 paperback 10.1201/9781003508625 doi (OCoLC)1474345362 (OCoLC-P)1474345362 S494.5.D3 TEC 007000 bisacsh TEC 008000 bisacsh TEC 003070 bisacsh TJFM bicssc Smart agriculture : harnessing machine learning for crop management / edited by Amol Dattatray Dhaygude, Suman Kumar Swarnkar, Priya Chugh, Yogesh Kumar Rathore. First edition. Boca Raton, FL : CRC Press, 2025. ©2025 1 online resource (xiii, 167 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Intelligent Data-Driven Systems and Artificial Intelligence Chapter 1. Reviewing detection of plant disease by making use of machine learning mechanism -- Chapter 2. Future prospects and challenges of digital transformation in agriculture and dairy industries mechanisms -- Chapter 3. Innovative IoT-driven solutions for real-time crop health surveillance and precision agriculture -- Chapter 4. Optimizing resource allocation in precision agriculture through the application of K-means clustering -- Chapter 5. Upholding ethical standards in modern agriculture: an examination of privacy-preserving machine learning techniques -- Chapter 6. Exploring the effectiveness of decision trees for comprehensive detection of crop diseases in agricultural environments -- Chapter 7. Integrating deep learning and image recognition in smart farming -- Chapter 8. Exploring the effectiveness of decision trees for comprehensive detection of crop diseases in agricultural environments -- Chapter 9. Enhancing crop yield prediction accuracy through the application of gradient descent optimization algorithms -- Chapter 10. Machine learning models for early detection of pest infestation in crops: a comparative study "This book, "Smart Agriculture: Harnessing Machine Learning for Crop Management," 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. It also examines the role of remote monitoring and precision agriculture, highlighting how technologies such as remote sensing and recurrent neural networks can optimize farming practices. This book: Emphasizes sustainable agricultural practices and data-driven decision-making for eco-friendly farming. Highlights the importance of using environmentally friendly practices, and how machine learning can play a pivotal role in achieving sustainability goals. Discusses topics such as crop optimization, disease detection, pest control, resource management, precision agriculture, and sustainability. Covers predictive analytics for weather forecasting, Internet of Things applications for precision agriculture, and the role of sensors in data collection. Illustrates optimizing resource allocation, irrigation with artificial intelligence, and machine learning for soil health assessment. Whether you are a researcher, a student, an agricultural professional, or a technology enthusiast, this book offers valuable insights into the transformative power of machine learning in agriculture. It invites readers to explore the potential of machine learning to transform farming practices, improve food security, and promote environmental sustainability"-- Provided by publisher. OCLC-licensed vendor bibliographic record. Artificial intelligence Agricultural applications. 94195 Machine learning. 55059 Agricultural informatics. 95375 TECHNOLOGY / Electricity bisacsh 92937 TECHNOLOGY / Electronics / General bisacsh 92988 TECHNOLOGY / Agriculture / Sustainable Agriculture bisacsh 95005 Dhaygude, Amol Dattatray, editor. 95376 Swarnkar, Suman, editor. 95000 Chugh, Priya, editor. 95377 Kumar Rathore, Yogesh, editor. 95378 Intelligent Data-Driven Systems and Artificial Intelligence. 95379 Taylor & Francis https://www.taylorfrancis.com/books/9781003508625 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 68050 68050