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IoT-Based Smart Agriculture Systems Optimization for Potato Yield and Water Conservation Techniques

Nader BehdadWeiguo GeeWang Zhang
Volume 4

Abstract

Smart agriculture systems, driven by Internet of Things (IoT) technologies, offer significant potential for optimizing crop yield and resource management. This study focuses on enhancing potato farming productivity while promoting water conservation through an IoT-based framework. Sensors are deployed across the agricultural field to monitor key variables such as soil moisture, temperature, humidity, and crop growth stages in real time. These data streams are analyzed using intelligent algorithms to optimize irrigation scheduling and nutrient management. Machine learning models are integrated to predict yield outcomes and support data-driven decision-making. The proposed system reduces water waste, enhances resource efficiency, and increases crop output, aligning with sustainable agriculture goals. Results indicate substantial improvements in both water usage efficiency and potato yield, demonstrating the practical value of IoT-driven optimization in modern farming systems.

Keywords

IoT, smart agriculture, potato yield, water conservation, precision farming, resource optimization

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