Automated IoT-Based Mushroom Greenhouse Control System for Real-Time Environmental Management via Blynk Application
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Abstract
This research presents the development of an automated, IoT-based mushroom greenhouse control system for real-time environmental management, implemented
using the Blynk application. The proposed system integrates SHT30 temperature and humidity sensors with an ESP32 microcontroller to continuously monitor environmental conditions and automatically control water misting in mushroom cultivation houses year-round. Real-time data are transmitted to a cloud platform, enabling remote monitoring and both automatic and manual control via a mobile application.
Experimental results show that the system effectively maintains environmental conditions close to the optimal range for mushroom growth, with temperatures between 24.0-29.0 °C and relative humidity levels of 64-76%RH under normal conditions. The system demonstrates reliable adaptive operation by dynamically switching between Automatic Mode and Timer Mode under unfavorable weather conditions, such as rainfall or low temperatures, achieving 100% operational reliability. Sensor performance analysis indicates high measurement consistency, with coefficients of variation below 10% across all test scenarios.
The proposed system reduces manual labor by approximately 70% while improving the precision of humidity control, maintaining it within ±5% RH, and leading to more consistent cultivation performance. This research contributes to sustainable smart farming by providing a low-cost, scalable, and energy-efficient solution for adaptive management of mushroom greenhouses.
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References
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