AI, Edge and IoT-based Smart Agriculture

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 INDICE: Section 1: IoT and edge Foundations and Framework 1. IoT - Foundations and applications 2. Edge Computing - Foundations and applications 3. Functional Framework for IoT-based agricultural system 4. Functional Framework for Edge-based agricultural system Section 2: IoT use cases in Smart Farming and Smart Agriculture 5. Climate condition monitoring and automate system 6. Crop management system 7. IoT Based Smart Irrigation Monitoring and Controlling System 8. IoT-Based Drone for Improvement of Crop Quality in Agricultural Field 9. Monitoring and Discrimination of Plant Disease and Insect Pests based on agricultural IoT 10. The Internet of Things in Agriculture for Sustainable Rural Development 11. IoT in urban Greening 12. Smart E-Agriculture Monitoring System 13. IoT in greenhouse horticulture 14. Yield prediction and optimization 15. Energy-preserving protocols in IoT-enabled agricultural system Section 3: Edge computing use cases in Smart Farming and Smart Agriculture 16. Agribots 17. Farm Automation 18. Disaster Protection Section 4: Sensor Network  use cases in Smart Farming and Smart Agriculture 19. Agriculture Sensor Network: Infrastructure, protocols and standards 20. Implementation of sensors and RFID for disease and pest control 21. Sensor-based Precision agriculture, Sensor data acquisition 22. Sensor based expert systems for soil management: Ph. Control, Moisture content 23. A Crop Monitoring System Based on Wireless Sensor Network 24. Integration of RFID And Sensor In Agriculture Using IoT Section 5: AI and Data Analytics In Agriculture 25. Prediction of Plant Diseases and Crop 26. Weather support system: online weather data monitoring, AI-based emergency alert system 27. Remote Monitoring and predictive analysis system: Crop monitoring, Livestock monitoring 28. Intelligent Agro-Food chain system 29. Data Analysis and prediction using Big data Analytics 30. Precision Agriculture : Weather Forecasting for Future Farming 31. Decision making system for crop selection based on soil 32. Vegetable Production and Distribution System 33. Cyber-Espionage, Agroterrorism, Confidential Information and Intellectual Property Section 6: IoT in Aquaculture 34. Internet of Things on Sustainable Aquaculture System 35. Transformation of Fish Farming Industry using IoT 36. Predictive Platform for Shrimps 37. IoT Cloud Solution for Aquaculture 

• ISBN: 978-0-12-823694-9
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 570
• Fecha Publicación: 01/06/2021
• Nº Volúmenes: 1
• Idioma: Inglés