Buch, Englisch, 596 Seiten, Format (B × H): 191 mm x 235 mm
Enhancing Crop-Water Productivity and Soil Health
Buch, Englisch, 596 Seiten, Format (B × H): 191 mm x 235 mm
ISBN: 978-1-041-37139-7
Verlag: Taylor & Francis Ltd
This book examines artificial intelligence applications in smart fertilization and soil health management for sustainable agriculture. It covers AI-driven approaches including machine learning models, robotics, and decision support systems for nutrient optimization, and also:
- Offers Comprehensive coverage of artificial intelligence applications in smart fertilization including machine learning models, robotics, and AI-powered decision support systems for nutrient optimization and sustainable agriculture.
- Examination of AI integration with Internet of Things (IoT), smart sensors, remote sensing, Geographic Information Systems (GIS), cloud computing, and blockchain technologies for precision fertilizer application and soil health monitoring.
- Addresses climate-smart agriculture strategies including drought resilience, carbon footprint mitigation, and AI-optimized fertilizer application for environmental sustainability and resource conservation.
- Discusses big data analytics and geospatial AI for mapping soil fertility, water productivity, and site-specific nutrient management in crop production systems.
- Covers AI-enabled fertigation systems, real-time soil moisture and nutrient monitoring, and data-driven strategies for reducing fertilizer runoff and preventing soil degradation
This title has been co-published with Elite Publishing House. T&F does not sell or distribute the print versions in India.
Zielgruppe
Academic, Postgraduate, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Geologie Bodenkunde, Sedimentologie
- Geowissenschaften Geologie GIS, Geoinformatik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Naturwissenschaften Agrarwissenschaften Ackerbaukunde, Pflanzenbau
- Geowissenschaften Umweltwissenschaften Umweltwissenschaften
- Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Nachhaltige Landwirtschaft
Weitere Infos & Material
Preface
About the Authors
Introduction
1. AI-Driven Smart Fertilization and Its Significance for Sustainable Agriculture
2. Enhancing Soil Health through AI-Based Nutrient Monitoring
3. Robotics in Precision Fertilizer Application
4. Machine Learning Models for Fertilizer Optimization
5. AI and IoT in Smart Fertigation Systems
6. Big Data Analytics for Soil Health and Water Use Efficiency
7. AI-Powered Decision Support Systems for Fertilization
8. Smart Sensors and AI in Real-Time Soil Nutrient Monitoring
9. AI and Remote Sensing for Fertilizer and Water Management
10. Harnessing AI to Promote Balanced Fertilization and Soil Health
11. Smart Fertilizer Blending and Customization Through AI Algorithms
12. AI in Site-Specific Nutrient Management for Crops
13. Remote Sensing and GIS for AI-Based Fertilizer Planning
14. Data-Driven AI Strategies for Reducing Fertilizer Runoff
15. Carbon Footprint of Fertilizer Use: AI for Mitigation Strategies
16. Drought Resilience and AI-Optimized Fertilizer Application
17. Cloud Computing and AI in Fertilizer and Water Resource Planning
18. AI and Blockchain for Transparent and Efficient Fertilization
19. AI-Driven Smart Fertilization for Climate-Smart Agriculture
20. Real-Time AI Monitoring of Soil Moisture and Nutrient Levels
21. AI-Enabled Fertigation Systems for Maximizing Water-Nutrient Synergy
22. AI-Based Risk Assessment in Over-Fertilization and Soil Degradation
23. Geospatial AI in Mapping Soil Fertility and Water Productivity
24. AI-Powered Digital Agriculture Platforms for Smart Fertilization
25. Advancements in AI and Nano-Fertilizers for Sustainable Farming
References




