Cloud IoT Systems for Smart Agricultural Engineering, 1st Edition eBook

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Agriculture plays a vital role in a country’s growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial coverage of various challenges of the agriculture domain through modern technologies such as the Internet of Things (IoT), cloud computing, and many more. This book offers various state-of-the-art procedures to be deployed in a wide range of agricultural activities. The concepts are discussed with the necessary implementations and clear examples. Necessary illustrations are depicted in the chapters to ensure the effective delivery of the proposed concepts. It presents the rapid advancement of the technologies in the existing agricultural model by applying the cloud IoT techniques. A wide variety of novel architectural solutions are discussed in various chapters of this book. This book provides comprehensive coverage of the most essential topics, including: New approaches on urban and vertical farming Smart crop management for Indian farmers Smart livestock management Precision agriculture using geographical information systems Machine learning techniques combined with IoT for smart agriculture Effective use of drones in smart agriculture This book provides solutions for the diverse domain of problems in agricultural engineering. It can be used at the basic and intermediary levels for agricultural science and engineering graduate students, researchers, and practitioners.

This is a digital product.

Cloud IoT Systems for Smart Agricultural Engineering 1st Edition is written by Saravanan Krishnan and published by Chapman & Hall. The Digital and eTextbook ISBNs for Cloud IoT Systems for Smart Agricultural Engineering are 9781000535228, 1000535223 and the print ISBNs are 9781032028279, 1032028270. Additional ISBNs for this eTextbook include 9781003185413, 9781032028309, 9781000535136.