IoT-Based Smart Agriculture System for Sustainable Crop Management
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Abstract
This research proposes an IoT-enabled smart agriculture system designed to optimize crop yield and resource utilization. Sensors collect real-time data on soil moisture, temperature, and humidity, which is analyzed using machine learning models to provide actionable insights. The system automates irrigation and fertilization processes, reducing water consumption and operational costs. Experimental results show significant improvements in crop productivity and sustainability. The paper underscores the potential of IoT and AI in revolutionizing modern agriculture.
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References
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