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Internet of Things and Analytics for Agriculture, Volume 3 de Prasant Kumar Pattnaik

Internet of Things and Analytics for Agriculture, Volume 3: Studies in Big Data, cartea 99

Editat de Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal
en Limba Engleză Paperback – 12 noi 2022
The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.
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Specificații

ISBN-13: 9789811662126
ISBN-10: 9811662126
Pagini: 380
Ilustrații: XIV, 380 p. 125 illus., 86 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.55 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Studies in Big Data

Locul publicării:Singapore, Singapore

Cuprins

IoT: Foundations and Applications.- Functional Framework for IoT-based agricultural system.- Field monitoring and automation system.- Agriculture Sensor Network: Infrastructure, protocols and standards.- Implementation of sensors and RFID for disease and pest control.- Sensor-based Precision agriculture, Sensor data acquisition. 

Notă biografică

Prasant Kumar Pattnaik, Ph.D. (computer science), Fellow IETE, and Senior Member IEEE, is Professor at the School of Computer Engineering, KIIT Deemed University, Bhubaneswar. He has more than a decade of teaching and research experience. He has published numbers of research papers in peer-reviewed international journals and conferences. He also published many edited book volumes in Springer and IGI Global Publication. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems, and brain–computer interface. He is one of Associate Editors of Journal of Intelligent and Fuzzy Systems, IOS Press, and Intelligent Systems Book Series Editor of CRC Press, Taylor & Francis Group.

Raghvendra Kumar is working as Associate Professor in Computer Science and Engineering Department at GIET University, India. He received B. Tech, M.Tech, and Ph.D. in computer science and engineering, India, and Postdoc Fellow from Institute ofInformation Technology, Virtual Reality and Multimedia, Vietnam. He serves as Series Editor of Internet of Everything (IOE): Security and Privacy Paradigm, Green Engineering and Technology: Concepts and Applications, published by CRC Press, Taylor & Francis Group, USA, and Bio-Medical Engineering: Techniques and Applications, published by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He also serves as Acquisition Editor for computer science by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He has published number of research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE and Springer as well as served as Organizing Chair (RICE-2019, 2020), Volume Editor (RICE-2018), Keynote Speaker, Session Chair, Co-chair, Publicity Chair, Publication Chair, Advisory Board, Technical Program Committee Members in many international and national conferences and serves as Guest Editors in many special issues from reputed journals (Indexed By: Scopus, ESCI, SCI). He also published 13 chapters in edited book published by IGI Global, Springer, and Elsevier. His research areas are computer networks, data mining, cloud computing and secure multiparty computations, theory of computer science and design of algorithms. He authored and edited 23 computer science books in the field of Internet of things, data mining, biomedical engineering, big data, robotics in IGI Global Publication, USA; IOS Press Netherland; Springer; Elsevier; and CRC Press, USA.

Souvik Pal, Ph.D., MCSI, MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA, is working as Associate Professor in the Department of Computer Science and Engineering at Global Institute of Management and Technology, India. He has received his both master’s degree and doctorate degree from KIIT University, Bhubaneswar, India. He has published several research papers in peer-reviewed international journals and conferences (Scopus and ESCI). He has authored a book on computer science in the field of cloud computing. He was appointed in many conferences as Session Chair, Reviewer, and Track Co-chair. He also serves as Editorial and International Advisory Board Member for many journals and conferences. His research area includes cloud computing, big data, Internet of things, and data analytics.

Textul de pe ultima copertă

The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.

Caracteristici

Discusses major challenges faced by farmers and solutions by IoT Covers the most important challenges, issues, and advances in IoT agro-systems Explores predictive analysis systems and weather data-enabled analysis in IoT agro-systems