Smart agricultural services using deep learning, big data, and IoT

"This book explores the application of deep learning, big data, IoT in agricultural services"--

Bibliographic Details
Other Authors: Gupta, Amit Kumar, 1981-
Format: eBook
Language:English
Published: Hershey, PA Engineering Science Reference, an imprint of IGI Global, [2021]
Series:Advances in environmental engineering and green technologies (AEEGT) book series.
Subjects:
Online Access:https://www.lib.tsu.ru/mminfo/2023/EBSCO/2657123.pdf
Table of Contents:
  • Chapter 1. A neural network-based approach for pest detection and control in modern agriculture using Internet of things
  • Chapter 2. Automated fruit grading system using image fusion
  • Chapter 3. Fog computing as solution for IoT-based agricultural applications
  • Chapter 4. Green cloud
  • Chapter 5. Internet of things: a conceptual visualisation
  • Chapter 6. Internet of things and the role of wireless sensor networks in IoT
  • Chapter 7. IoT-based agri-safety model: mechanised agricultural fencing
  • Chapter 8. Plant diseases concept in smart agriculture using deep learning
  • Chapter 9. Smart agriculture and farming services using IoT
  • Chapter 10. Smart agriculture services using deep learning, big data, and IoT (Internet of things)
  • Chapter 11. An analysis of big data analytics
  • Chapter 12. Towards intelligent agriculture using smart IoT sensors.