Desarrollo de modelo IOT para solución de agricultura sostenible de cultivo de arroz

Abstract

Improve the sustainability of rice cultivation through the use of an IoT model. Using sensors such as the DHT22 humidity and temperature sensor, the BMP-180 pressure sensor and the soil humidity sensor, the objective is to optimize the process and contribute to sustainable agriculture, thus reducing the negative impacts on the environment linked to rice cultivation. A methodological approach was carried out that applies the use of sensors for data collection, using the ThingSpeak platform, based on recognized protocols such as HTTP and MQTT that facilitate communication to obtain data in real time. The structure of the model is made up of four layers (sensors, communication, internet and application), which guarantee the efficient collection of citrus information about rice cultivation. The graphs generated through the ThingSpeak platform reflected dynamic changes in climate variables, providing a clearer and more detailed view of the crop environment. The union of the IoT model with the ThingSpeak platform turned out to be effective for real-time monitoring of rice cultivation, providing us with important information to adjust agricultural practices according to the required conditions. The successful implementation of the IoT model with the aforementioned sensors resulted in significant improvements in the efficiency and profitability of rice cultivation. Real-time monitoring of soil moisture and temperature, enabled by sensors, emerged as an essential tool for precisely adapting the crop to its specific needs, thus paving the way towards more sustainable agricultural practices.