SIMULATIVE EVALUATION OF AN IOT-BASED AGROSHIELD SYSTEM FOR PADDY RICE OPT RISK MONITORING AND ACTUATOR CONTROL USING RULE-BASED DECISION
DOI:
https://doi.org/10.35261/barometer.v11i3.13246Abstract
This study designs and simulates AGROSHIELD, an Internet of Things (IoT)-based monitoring and early warning system for plant pest and disease risks in paddy fields. The system integrates temperature, humidity, rainfall status, water level, detected planthopper count, liquid level, and connectivity status into a unified decision-making process. The research employs an ESP32 simulation on Wokwi, a monitoring dashboard, and a rule-based decision engine to classify system conditions as safe, alert, danger, or error. Testing was conducted through ten scenarios representing normal conditions, planthopper risk, blast disease risk, abnormal water conditions, low liquid level, and connectivity disruption. The simulation results showed that all ten scenarios produced outputs consistent with the predefined rules. The system also provided selective actuator responses, particularly under planthopper danger conditions. AGROSHIELD is considered feasible as a foundation for physical prototype development, although the results do not yet represent the system’s detection performance or accuracy under actual field conditions.
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