IoT and Analytics for Agriculture
This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on
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Prasant Kumar Pattnaik Raghvendra Kumar Souvik Pal S. N. Panda Editors
IoT and Analytics for Agriculture
Studies in Big Data Volume 63
Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Big Data” (SBD) publishes new developments and advances in the various areas of Big Data- quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence including neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. ** Indexing: The books of this series are submitted to ISI Web of Science, DBLP, Ulrichs, MathSciNet, Current Mathematical Publications, Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink.
More information about this series at http://www.springer.com/series/11970
Prasant Kumar Pattnaik Raghvendra Kumar Souvik Pal S. N. Panda •
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Editors
IoT and Analytics for Agriculture
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Editors Prasant Kumar Pattnaik School of Computer Engineering Kalinga Institute of Industrial Technology Bhubaneswar, Odisha, India Souvik Pal Department of Computer Science and Engineering JIS College of Engineering Nadia, West Bengal, India
Raghvendra Kumar Department of Computer Science and Engineering Laxmi Narayan College of Technology Jabalpur, Madhya Pradesh, India S. N. Panda Chitkara University Chandigarh, Punjab, India
ISSN 2197-6503 ISSN 2197-6511 (electronic) Studies in Big Data ISBN 978-981-13-9176-7 ISBN 978-981-13-9177-4 (eBook) https://doi.org/10.1007/978-981-13-9177-4 © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence o
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