Administración de Infraestructuras y Plataformas Tecnológicas

Permanent URI for this collectionhttps://dspace.ucuenca.edu.ec/handle/123456789/46349

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    Implementación de una infraestructura IoT con red LoRa para el monitoreo de variables agroambientales y el control de riego automatizado en huertas andinas en Cuenca
    (Universidad de Cuenca. UCuencaTEC, 2026-09-04) Basantes Chuisaca, Stephany Paola; Tenemaza Loja, Justin Daniel; Nivicela Arbitro, Jonnathan Fernando
    Agriculture in the Andean vegetable gardens of the Cuenca canton faces challenges in crop monitoring and efficient irrigation water management due to the lack of accessible technolo- gical tools for farmers whose gardens are located in rural areas without access to Wireless Fidelity (WiFi) or 3G and 4G mobile networks. This study proposes an Internet of Things (IoT) infrastructure using a Long Range (LoRa) network for monitoring agro-environmental variables and automated irrigation control. The system integrates two nodes based on the Heltec WiFi LoRa 32 V4 microcontroller: an Environmental Node, which measures temperature, humidity, pressure, Dióxido de Carbono (CO2), illuminance, and seven soil parameters (moisture, tem- perature, electrical conductivity, potencial de Hidrógeno (pH), and Nitrógeno, Fósforo y Potasio (NPK) macronutrients) using the BME280, SCD40, BH1750, and a 7-in-1 RS485 sensor; and a Water Node, which monitors tank level and flow rate and controls a pump via pulse width mo- dulation. Both nodes transmit via LoRa to a gateway that forwards the data to the Raspberry Pi 5, where it is stored in a local MySQL database synchronized with Railway. A web plat- form built with Flask displays the data in real time, generating alerts, configurable thresholds, historical reports, and weather data from the Application Programming Interface (API) of Open- WeatherMap. Field tests with the Environmental Node collected 259 records over seven days, confirming its proper operation and demonstrating the need for the proposed automated irri- gation system. The results demonstrate that the system is a viable and replicable solution for optimizing water use.