Abstract

Efficient water management in agriculture is crucial for sustainable crop production, especially in regions facing water scarcity. Sensor-based irrigation scheduling offers a promising solution by enabling precise and timely irrigation, optimizing water usage while maintaining or enhancing crop yields. This study was made in order to investigate the efficacy of sensor-based technologies in irrigation scheduling for improving water use efficiency in agricultural settings. Data on utilization of an array of sensors including soil moisture, weather and crop-specific indicators., real-time data was collected and analyzed to determine the optimum irrigation timing and volume. The procedure integrated these sensor-derived insights with irrigation scheduling algorithms to dynamically adjust water delivery, aligning with the crop's actual water needs. This study reviews the importance of soil moisture sensors for irrigation, as well as sensor technology and its uses irrigation management and irrigation scheduling.

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