AIoT-Based Soil Moisture Monitoring System for Precision Agriculture and Energy Efficiency in Rural Smart Villages

R Deasy Mandasari, Ronald Adrian, Iwan Kustiawan, Sahirul Alam, Dadang Lukman Hakim, Didin Wahyudin

Abstract


Alamendah Village is a horticultural area where irrigation and energy use are still managed manually, leading to water inefficiency and unmonitored electricity consumption. This study developed an AIoT-based system using ESP32 microcontrollers and soil moisture sensors to support precision irrigation and energy monitoring. The system design included sensor calibration to convert ADC values into moisture percentages, threshold-based irrigation recommendations, and a placement formula to determine sensor deployment. Field testing in strawberry plots demonstrated that soil moisture often dropped below the 40% threshold, triggering timely irrigation alerts. The dashboard provided real-time data visualization and revealed peak electricity demand in the evening at the village hall. The results indicated that the system enhanced irrigation accuracy, provided a baseline for monitoring energy consumption, and increased community awareness of sustainable resource management. The project offers a replicable model for integrating smart agriculture and energy monitoring in rural areas.


Keywords


Artificial Intelligence of Things (AIoT); Soil Moisture Monitoring; ESP32; Precision Irrigation; Energy Monitoring

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References


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DOI: https://doi.org/10.26760/rekaelkomika.v6i3.217-225

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