Details
| Title | Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture |
|---|---|
| Imprint | Engineering Science Reference, 2021 |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Artificial intelligence — Agricultural applications. ; Internet of things. ; Sustainable agriculture. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1235970154 |
| Record create date | 1/8/2021 |
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- Cover
- Title Page
- Copyright Page
- Book Series
- Editorial Advisory Board
- Table of Contents
- Detailed Table of Contents
- Preface
- Chapter 1: Digitization in Agriculture
- Chapter 2: Artificial Intelligence and Its Applications in Agriculture With the Future of Smart Agriculture Techniques
- Chapter 3: Artificial and Natural Intelligence Techniques as IoP- and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
- Chapter 4: Digital Technologies for Smart Agriculture
- Chapter 5: Farming Automation
- Chapter 6: Food 4.0
- Chapter 7: Emerging Technological Model to Sustainable Agriculture
- Chapter 8: Synergistic Technologies for Precision Agriculture
- Chapter 9: Use of Smart Farming Techniques to Mitigate Water Scarcity
- Chapter 10: Smart Agriculture With Autonomous Unmanned Ground and Air Vehicles
- Chapter 11: Smart Sensors for Smart Agriculture
- Chapter 12: Smart Agriculture Using WSN and IoT
- Chapter 13: Smart Soil Monitoring System for Smart Agriculture
- Chapter 14: Real-Time Crop Monitoring in Agriculture
- Chapter 15: WSN, APSim, and Communication Model-Based Irrigation Optimization for Horticulture Crops in Real Time
- Chapter 16: Using Drones in Smart Farming
- Chapter 17: Disease Monitoring of Cucumber in Polyhouse Through IoT-Based Mobile Application
- Chapter 18: Artificial Intelligence in Integrated Pest Management
- Chapter 19: Application of Convoluted Neural Network and Its Architectures for Fungal Plant Disease Detection
- Chapter 20: Deep Learning Applications in Agriculture
- Chapter 21: Development of a Solar-Powered Greenhouse Integrated With SMS and Web Notification Systems
- Compilation of References
- About the Contributors
- Index
