IoT and AI in Agriculture

Chapter 1. High-Throughput Field Plant Phenotyping of Horticultural Crops.- Chapter 2. Development of a Raspberry Pi-Based Automated Primary Root Length Measurement System for Tomato (Solanum lycopersicum).- Chapter 3. Development of Smart Drip Irrigation and Fungicide Application System for the Grapevine Management.- Chapter 4. Challenges and Opportunities for Developing Mini-plant Factory for Vegetable Cultivation in Household Urban Farming.- Chapter 5. Computational Intelligence in Climate-Adaptive Agriculture: Pathways to Resilient Food Systems.- Chapter 6. Agronomic Performance and Physiological Responses of Inbred Rice (Rc 512) Using Drone Seeding Technology.- Chapter 7. Deep Learning Strategies for Smart Agricultural Space - Diagnostics, Automation, and Quality Systems.- Chapter 8. Feature Selection Technique for Model Development.- Chapter 9. Development of Remote Autonomy of Multi-Cluster Agricultural Machinery Control System Using YOLO Deep Learning Algorithm and WebSocket Protocol.- Chapter 10. Development of Navigation System in Rural Roads using Deep Learning Algorithm for Autonomous Crawler Tractor.- Chapter 11. Development of Orchard Autonomous System using Zigbee Communication and Visual SLAM Technology.- Chapter 12. Instance Segmentation Based on Deep Learning Algorithm for Autonomous Navigation in Orchards.- Chapter 13. Intelligent Recognition of Orchard Environment: Instance Segmentation of Trees and Roads.- Chapter 14. Strategic Short Note: Prospect of Small-scale Agricultural Mechanization for Sustainable Agriculture in a Climate Change Context.- Chapter 15. A Review- Smaller degree multi- arm robotic systems for fruit harvesting.- Chapter 16. Development of Small-Scale Automatic Seed and Fertilizer Broadcasting Machinery.- Chapter 17. Design and Fabrication of Autonomous Weeder for Agriculture Fields.- Chapter 18. Weeding Technologies in Tropical Places for Cassava Plantations.- Chapter 19. AI Agent System for Agricultural Water Resources Management.- Chapter 20. An IoT Assisted Dual Supply Solar Food Drying System for Tropical Agricultural Conditions.- Chapter 21. Technological Transitions in Thermal Drying: Integrating Microwave and Heat Pump Technologies with AI and IoT to Enhance Productivity in Food and Agricultural Systems.- Chapter 22. Prospects on the Horizon: Analyzing the Impacts of Deep Learning and Machine Vision in Quail Farming.- Chapter 23. AI and IoT to Integrate Automation in Farm Management: A Path to Sustainable Agriculture in Changing Climates.

• Erscheinungsdatum: 01.01.2026
• Autor/Autorin: Tofael Ahamed
• Reihe: Biomedical and Life Sciences (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 33.3 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 362 Seiten
• ISBN: 9789819552184
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.