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JCSIS

IoT-Based Solutions for Real-Time Water Resource Optimization in Smart Agricultural Systems

Khadija ShazlyHakan KhanNajaad OubeBlika
Volume 4

Abstract

Water resource management in agriculture is critical for ensuring sustainability and addressing the growing challenges posed by climate change and population growth. This study presents IoT-based solutions for the real-time optimization of water resources in smart agricultural systems. The research focuses on integrating IoT sensors, data analytics, and machine learning techniques to monitor soil moisture levels, weather conditions, and water usage in agricultural fields. By utilizing smart sensors and automated irrigation systems, the IoT network provides continuous data streams that enable precise water management, ensuring that crops receive the necessary water while minimizing waste. The system uses machine learning algorithms to analyze real-time data, optimize irrigation schedules, and predict water demand, which leads to enhanced crop yield and water conservation. The study demonstrates how IoT technologies can revolutionize agricultural practices by improving efficiency, reducing water consumption, and promoting sustainable farming practices. The proposed solution is scalable and adaptable, offering potential applications in various agricultural settings worldwide.

Keywords

IoT, water resource optimization, smart agriculture, irrigation management, machine learning, sustainability

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