Abstract :

This study presents the design, development, and evaluation of an Automated Smart Canopy and Irrigation System that integrates soil moisture, rainfall, and temperature/humidity sensors, along with a TTGO ESP32 microcontroller, to optimize small-scale plant water management. To coordinate irrigation and canopy actions, a retractable net canopy and an automated pump were controlled by threshold rules (soil moisture <30%, rain ≥80%, temperature ≥38°C). During prototype testing under dry, simulated rain, and heat scenarios, the system demonstrated reliable responses: soil-moisture control achieved 90% accuracy, while rain and temperature controls reached 100% in the tested simulations. Further analysis using a confusion matrix and standard performance metrics (precision, recall, F1) validated the system’s responsiveness and robustness. Taken together, these results indicate strong potential to reduce water waste and protect crops across variable Philippine climates, recommending further scaling, solar integration, and water-level sensing for field deployment.

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Keywords :

Automated irrigation, IoT (ESP32), rain sensor, smart canopy, soil moisture sensor

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