Smart Agricultural Services Using Deep Learning, Big Data, and IoT

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ISBN 10: 179985003X / ISBN 13: 9781799850038

Published by Engineering Science Reference, 2020

About this Item

Zustand: Hervorragend | Seiten: 316 | Sprache: Englisch | Produktart: Bücher.

Seller Inventory # 36988615/1

Bibliographic Details

• Title: Smart Agricultural Services Using Deep Learning, Big Data, and IoT
• Publisher: Engineering Science Reference
• Publication Date: 2020
• Language: English
• ISBN 10: 179985003X
• ISBN 13: 9781799850038
• Binding: Hardcover
• Condition: Hervorragend

About this title

Synopsis

The agricultural sector can benefit immensely from developments in the field of smart farming. However, this research area focuses on providing specific fixes to particular situations and falls short on implementing data-driven frameworks that provide large-scale benefits to the industry as a whole. Using deep learning can bring immense data and improve our understanding of various earth sciences and improve farm services to yield better crop production and profit. Smart Agricultural Services Using Deep Learning, Big Data, and IoT is an essential publication that focuses on the application of deep learning to agriculture. While highlighting a broad range of topics including crop models, cybersecurity, and sustainable agriculture, this book is ideally designed for engineers, programmers, software developers, agriculturalists, farmers, policymakers, researchers, academicians, and students.

About the Authors

Amit Kumar Gupta has 15 years of teaching experience. He is currently working as Associate Professor in Department of Computer Science & Engineering. Amity School of Engineering & Technology, Amity University Rajasthan. He has more than 50 research paper in various reputed journals including Scopus, ESCI and SCIE indexed. He is also guest editor in Scopus indexed journal like IGI, Inder science, bentham science and springer. He has also Guest editor of 9 Scopus indexed journals. His expertise in Information Security, Machine Learning and OS CPU Scheduling.

Dinesh Goyal is Professor of Cloud Computing and Security and Academic Dean of Suresh Gyan Vihar University, holding Ph.D. degree from Suresh Gyan Vihar University in 2014, also has 16 years of rich experience in teaching with 7 years in pure R&D sector of Image Processing, cloud computing/ information security and over 90 research papers in international publications followed by 21 papers presented in conferences, out of above 8 papers are SCI/Scopus/Web of Sciences/ Thomson Reuter Indexed Journals. Also, in order to have inquisitiveness for the current trends in technology, I have conducted and organized 4 conferences and 5 workshops followed by 5 National paper publications. In addition to this, I have strived hard to guide mentor over 35 research scholars during my career followed by 8 doctoral guidance with 5 as supervisor and 3 as Co-supervisor.