Implementación de un prototipo de monitoreo y control de temperatura y humedad de un invernadero de hortalizas usando machine learning.
Fecha
2023-09-19
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Editor
Universidad de Guayaquil. Facultad de Ingeniería Industrial. Carrera de Ingeniería en Teleinformática.
Resumen
En este trabajo de investigación tiene como objetivo principal diseñar e implementar un
prototipo de modelo práctico para monitorear y controlar la temperatura y humedad de un
invernadero de hortalizas. Esta tarea se logró mediante la implementación de técnicas de
aprendizaje automático ML y la utilización de dispositivos con tecnología Arduino como
sensores y el uso del Internet de las cosas (IoT). El propósito es lograr una mejora en las
condiciones ambientales para el cultivo orgánico de hortalizas dentro del invernadero. El
proceso de la investigación se basó en una revisión exhaustiva de la funcionalidad de los
componentes electrónicos, respaldada por la metodología bibliográfica. Además, se empleó
la metodología descriptiva para detallar la creación del hardware con sus componentes
electrónicos, su integración con la programación y el software correspondiente. Esto
permitió la automatización eficiente del sistema de monitoreo y control. Mediante la
metodología experimental se conllevó la construcción del prototipo del invernadero de
hortalizas. La validación de esta propuesta se realizó a través de pruebas de factibilidad y el
análisis estadístico de los resultados obtenidos. Dando como resultados una mejora
significativa en el entorno del invernadero, concluyendo con el respaldo y la viabilidad de
este proyecto.
The main objective of this research work is to design and implement a prototype of a practical model to monitor and control the temperature and humidity of a vegetable greenhouse. This task was achieved through the implementation of ML machine learning techniques and the use of devices with Arduino technology as sensors and the use of the Internet of Things (IoT). The purpose is to achieve an improvement in the environmental conditions for the organic cultivation of vegetables inside the greenhouse. The research process was based on a thorough review of the functionality of the electronic components, supported by the bibliographic methodology. In addition, the descriptive methodology was used to detail the creation of the hardware with its electronic components, its integration with the programming and the corresponding software. This allowed the efficient automation of the monitoring and control system. By means of the experimental methodology, the construction of the prototype of the vegetable greenhouse was carried out. The validation of this proposal was carried out through feasibility tests and statistical analysis of the results obtained. The results showed a significant improvement in the greenhouse environment, concluding with the support and feasibility of this project.
The main objective of this research work is to design and implement a prototype of a practical model to monitor and control the temperature and humidity of a vegetable greenhouse. This task was achieved through the implementation of ML machine learning techniques and the use of devices with Arduino technology as sensors and the use of the Internet of Things (IoT). The purpose is to achieve an improvement in the environmental conditions for the organic cultivation of vegetables inside the greenhouse. The research process was based on a thorough review of the functionality of the electronic components, supported by the bibliographic methodology. In addition, the descriptive methodology was used to detail the creation of the hardware with its electronic components, its integration with the programming and the corresponding software. This allowed the efficient automation of the monitoring and control system. By means of the experimental methodology, the construction of the prototype of the vegetable greenhouse was carried out. The validation of this proposal was carried out through feasibility tests and statistical analysis of the results obtained. The results showed a significant improvement in the greenhouse environment, concluding with the support and feasibility of this project.
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Palabras clave
TECNOLOGÍAS AGRÍCOLAS Y DE LA AGRICULTURA, CONTROL DE TEMPERATURA, INVERNADERO DE HORTALIZAS, MACHINE LEARNING