This book discusses the components and foundations of precision agriculture, followed by smart farming practices, sustainable development in precision agriculture, and use of artificial intelligence techniques in the field of agriculture.
Features:
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, smart grids, environmental engineering, agricultural engineering, computer science and engineering.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Bhoomika Batra is a founder of a research and data analytics academy called EdBhoomi Learning, and a visiting professor, at Alliance University and Wellingkar Institute of Management, Bengaluru, India. Her research interests are in the areas of agriculture, blockchain, neural networks, finance, corporate governance, and digitalization. She is an expert on data analysis and predictive analytics having over three years of experience using tools like IBM SPSS, E-views, STATA, SMART_PLS.
Vinod Kumar Shukla is an associate professor and head, in the School of Engineering Architecture Interior Design, at Amity University, Dubai, UAE. He completed his PhD in the field of Semantic Web and Ontology. He is an active member of IEEE and has published research papers in various reputed journals and conferences. He holds international patents in the broader field of information technology. His areas of research include the Internet of Things, semantic web, computer networking, and network security.
Vaibhav Bhatnagar is an assistant professor in the Department of Computer Applications, at Manipal University Jaipur, India. He has published research articles in journals indexed in Scopus and Web of Science. His areas of research include fog computing, internet of things, data analytics, and machine learning.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. This book discusses the components and foundations of precision agriculture, followed by smart farming practices, sustainable development in precision agriculture, and use of artificial intelligence techniques in the field of agriculture.Features:Discusses remote sensing techniques, global positioning system, robotics, and unmanned aerial vehicles in precision agriculture.Covers sustainable development in precision agriculture, data management and analytics, and variable rate technology.Highlights the implementation of artificial intelligence techniques, and use of prediction algorithms in improving crop efficiency.Presents machine learning, deep learning, and computer vision applications in precision agriculture.Showcases case studies on cotton crops, tea pests, and crop recommendations.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, smart grids, environmental engineering, agricultural engineering, computer science and engineering. This book explores the aspects of precision agriculture, along with diverse applications. It further reflects on the security and the authenticity issues while adopting precision agriculture. It discusses data mining tools, internet of things, and computational techniques used in the field of agriculture. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032859774
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Hardcover. Etat : new. Hardcover. This book discusses the components and foundations of precision agriculture, followed by smart farming practices, sustainable development in precision agriculture, and use of artificial intelligence techniques in the field of agriculture.Features:Discusses remote sensing techniques, global positioning system, robotics, and unmanned aerial vehicles in precision agriculture.Covers sustainable development in precision agriculture, data management and analytics, and variable rate technology.Highlights the implementation of artificial intelligence techniques, and use of prediction algorithms in improving crop efficiency.Presents machine learning, deep learning, and computer vision applications in precision agriculture.Showcases case studies on cotton crops, tea pests, and crop recommendations.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, smart grids, environmental engineering, agricultural engineering, computer science and engineering. This book explores the aspects of precision agriculture, along with diverse applications. It further reflects on the security and the authenticity issues while adopting precision agriculture. It discusses data mining tools, internet of things, and computational techniques used in the field of agriculture. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032859774
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