AI-Driven Smart Fertilization

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.