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Indigo AI-Driven Smart Fertilization: Enhancing Crop-Water Productivity and Soil Health | Erin Mills Town Centre
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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.
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.
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