Description
AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture.Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming.- 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
Table of Contents
1. Internet of things (IoT) and data analytics in smart agriculture: Benefits and challenges2. Edge computing - Foundations and applications3. IoT-based fuzzy logic-controlled novel and multilingual mobile application for hydroponic farming4. Functional framework for IoT-based agricultural system5. Functional framework for edge-based agricultural system6. Precision agriculture: Weather forecasting for future farming7. Crop management system using IoT8. Smart irrigation and crop security in agriculture using IoT9. The Internet of Things in agriculture for sustainable rural development10. Internet of Things (IoT) in agriculture toward urban greening11. Smart e-agriculture monitoring systems12.Smart agriculture using renewable energy and AI-powered IoT13. Smart irrigation-based behavioral study of Moringa plant for growth monitoring in subtropical desert climatic condition14. Surveying smart farming for smart cities15. Farm Automation16. A fog computing-based IoT framework for prediction of crop disease using big data analytics17. Agribots: A gateway to the next revolution in agriculture18. SAW: A real-time surveillance system at an agricultural warehouse using IoT19. The predictive model to maintain pH levels in hydroponic systems20. A crop-monitoring system using wireless sensor networking21. Integration of RFID and sensors in agriculture using IOT22. Prediction of crop yield and pest-disease infestation23. Machine learning-based remote monitoring and predictive analytics system for crop and lives24. Exploring performance and predictive analytics of agriculture data25. Climate condition monitoring and automated systems26. Decision-making system for crop selection based on soil27. Cyberespionage: Socioeconomic implications on sustainable food security28. Internet of Things on sustainable aquaculture system29. IoT-based monitoring system for freshwater fish farming: Analysis and design30. Transforming IoT in aquaculture: A cloud solution31. Toward the design of an intelligent system for enhancing salt water shrimp production using fuzzy logic
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