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Buchbeschreibung hardback. Zustand: New. Language: ENG. Bestandsnummer des Verkäufers 9781032479507
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Buchbeschreibung Hardcover. Zustand: new. Hardcover. Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems.This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated.This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications. This book explores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. This book provides practical and use case oriented approaches for IOT-based agricultural systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781032479507
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Buchbeschreibung Hardback. Zustand: New. New copy - Usually dispatched within 4 working days. Bestandsnummer des Verkäufers B9781032479507
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Buchbeschreibung Zustand: New. Book is in NEW condition. 1.63. Bestandsnummer des Verkäufers 1032479507-2-1
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Buchbeschreibung Zustand: New. New! This book is in the same immaculate condition as when it was published 1.63. Bestandsnummer des Verkäufers 353-1032479507-new
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers I-9781032479507
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Buchbeschreibung Hardcover. Zustand: Brand New. 344 pages. 9.19x6.13x0.75 inches. In Stock. This item is printed on demand. Bestandsnummer des Verkäufers __1032479507
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Buchbeschreibung Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. K. Saravanan is an Associate professor, Department of Computer Science & Engineering at College of Engineering, Guindy, Anna University, Chennai, Tamilnadu, India. He has published papers in 14 international conferences and 27 international journ. Bestandsnummer des Verkäufers 899837535
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Buchbeschreibung Hardcover. Zustand: Brand New. 344 pages. 9.19x6.13x0.75 inches. In Stock. Bestandsnummer des Verkäufers x-1032479507
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Buchbeschreibung Hardcover. Zustand: new. Hardcover. Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems.This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated.This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications. This book explores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. This book provides practical and use case oriented approaches for IOT-based agricultural systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781032479507
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