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

Amit Kumar Gupta (Amity University Jaipur, India), Dinesh Goyal (Poornima Institute of Engineering and Technology, India), Vijander Singh (Manipal University Jaipur, India) and Harish Sharma (Rajasthan Technical University, India)
Release Date: October, 2020|Copyright: © 2021 |Pages: 280|DOI: 10.4018/978-1-7998-5003-8
ISBN13: 9781799850038|ISBN10: 179985003X|EISBN13: 9781799850045|ISBN13 Softcover: 9781799854852

Description

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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Anomaly Detection
  • Big Data Integration
  • Big Data Management
  • Cloud-Based Systems
  • Crop Models
  • Cybersecurity
  • Data Privacy
  • Decision Support Systems
  • Deep Packet Inspection
  • Man-Machine Dialogue Systems
  • Sustainable Agriculture

Table of Contents and List of Contributors

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