IoT system with mobile application for monitoring orchids in a smart greenhouse in San Martín
DOI:
https://doi.org/10.15649/2346030X.5510Keywords:
internet of things, smart greenhouse, crop monitoring, precision agriculture, environmental sensors, agricultural automationAbstract
This study presents the design and implementation of a smart greenhouse system for monitoring and optimizing orchid cultivation in the Peruvian Amazon. The project addresses the limitations of manual irrigation and environmental control in traditional orchid farming by integrating Internet of Things (IoT) technologies, including Arduino Mega and ESP32-Cam microcontrollers, DHT22 and YL-38 sensors, and a custom mobile application developed in Flutter. The objective was to automate irrigation and ventilation processes while providing real-time data visualization via Firebase. The system was implemented in a scaled greenhouse designed for the Spathoglottis unguiculata orchid species, native to tropical climates. The experimental results after three months of continuous operation showed improved plant health, consistent blooming cycles, and a significant reduction in water and energy consumption. The automated drip irrigation system enhanced water efficiency, and solar-powered components ensured energy sustainability. This low-cost and replicable solution contributes to smart agriculture practices in underserved rural regions. Future work will focus on expanding sensor integration, implementing predictive analytics using machine learning, and validating system performance in commercial-scale greenhouses.
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