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

Bibliographic Details
Corporate Author:	IGI Global Online
Other Authors:	Gupta, Amit Kumar, 1981- (Editor)
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:	Agricultural informatics. Artificial intelligence > Agricultural applications. Big data. Internet of things. Machine learning. Electronic books.
Online Access:	Connect to the full text of this electronic book

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.