
AI, Edge and IoT-based Smart Agriculture
Description
Key Features
- Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management
- Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection
- Promotes the importance and uses in managing the agro ecosystem for food security
- Emphasizes low energy usage options for low cost and environmental sustainability
Readership
Researchers in various fields including computer science, researchers working in Agriculture domain, Application of IOT in agriculture, artificial intelligence, machine learning, image processing, agricultural big data analytics, smart agriculture, sustainable agriculture, e-agriculture, green IOT, agricultural supply chain. Graduates, post graduates and researchers of Agricultural Engineering/ Computer Science/Mechanical Engineering
Table of Contents
1. Internet of things (IoT) and data analytics in smart agriculture: Benefits and challenges
2. Edge computing - Foundations and applications
3. IoT-based fuzzy logic-controlled novel and multilingual mobile application for hydroponic farming
4. Functional framework for IoT-based agricultural system
5. Functional framework for edge-based agricultural system
6. Precision agriculture: Weather forecasting for future farming
7. Crop management system using IoT
8. Smart irrigation and crop security in agriculture using IoT
9. The Internet of Things in agriculture for sustainable rural development
10. Internet of Things (IoT) in agriculture toward urban greening
11. Smart e-agriculture monitoring systems
12.Smart agriculture using renewable energy and AI-powered IoT
13. Smart irrigation-based behavioral study of Moringa plant for growth monitoring in subtropical desert climatic condition
14. Surveying smart farming for smart cities
15. Farm Automation
16. A fog computing-based IoT framework for prediction of crop disease using big data analytics
17. Agribots: A gateway to the next revolution in agriculture
18. SAW: A real-time surveillance system at an agricultural warehouse using IoT
19. The predictive model to maintain pH levels in hydroponic systems
20. A crop-monitoring system using wireless sensor networking
21. Integration of RFID and sensors in agriculture using IOT
22. Prediction of crop yield and pest-disease infestation
23. Machine learning-based remote monitoring and predictive analytics system for crop and lives
24. Exploring performance and predictive analytics of agriculture data
25. Climate condition monitoring and automated systems
26. Decision-making system for crop selection based on soil
27. Cyberespionage: Socioeconomic implications on sustainable food security
28. Internet of Things on sustainable aquaculture system
29. IoT-based monitoring system for freshwater fish farming: Analysis and design
30. Transforming IoT in aquaculture: A cloud solution
31. Toward the design of an intelligent system for enhancing salt water shrimp production using fuzzy logic
Product details
- No. of pages: 574
- Language: English
- Copyright: © Academic Press 2021
- Published: November 10, 2021
- Imprint: Academic Press
- eBook ISBN: 9780128236956
- Paperback ISBN: 9780128236949
About the Editors
Ajith Abraham
Affiliations and Expertise
Sujata Dash
Affiliations and Expertise
Joel J.P.C. Rodrigues
Affiliations and Expertise
Biswaranjan Acharya
Affiliations and Expertise
Subhendu Kumar Pani
Affiliations and Expertise
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