Details

Subject(s)

• Agricultural informatics [Browse]
• Artificial intelligence—Agricultural applications [Browse]
• Internet of things [Browse]
• Machine learning [Browse]
• Big data [Browse]

Editor

• Gupta, Amit Kumar, 1981- [Browse]
• Goyal, Dinesh, 1976- [Browse]
• Singh, Vijendra [Browse]
• Sharma, Harish [Browse]

Series

Advances in environmental engineering and green technologies (AEEGT) book series. [More in this series]

Summary note

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

Bibliographic references

Includes bibliographical references and index.

System details

Mode of access: World Wide Web.

Source of description

Description based on print version record.

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.

Show 9 more Contents items

Other format(s)

Also available in print.

ISBN

9781799850045 (ebook)

OCLC

1152479163

Doi

• 10.4018/978-1-7998-5003-8

Statement on language in description

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