Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12394/12257
Título: Design of a Fuzzy Controller for the calculation of atmospheric comfort in a greenhouse
Autor(es): Tomas Silvestre, Elvis Orlando
Asesor: Huaytalla Pariona, Jaime Antonio
Palabras clave: Inteligencia artificial
Efecto invernadero
Editorial: Universidad Continental
Fecha de publicación: 2022
Fecha disponible: 13-ene-2023
Cita bibliográfica: Tomas, E. (2022). Design of a Fuzzy Controller for the calculation of atmospheric comfort in a greenhouse. Tesis para optar el título profesional de Ingeniero Mecatrónico, Escuela Académica Profesional de Ingeniería, Universidad Continental, Huancayo, Perú.
DOI: https://doi.org/10.1109/AIRC56195.2022.9836977
Resumen/Abstract: This article describes the design of a fuzzy controller to monitor atmospheric comfort in a greenhouse. Well- being inside a greenhouse is reflected in two significant parameters: temperature, which ranges between 20°C and 25°C, and relative humidity, which should be around 50%. For the monitoring and control of the parameters similar above, the optimal formation of the microclimate in a greenhouse is necessary. Relative humidity and temperature calculation was performed, which helps to predict comfort by implementing a soft sensor using fuzzy logic. The objective of this research is to demonstrate the effectiveness for the automation and monitoring of artificial intelligence processes, in this case «fuzzy logic», which is based on the user experience. In addition, in this article basic electronics, programming and intermediate level knowledge in fuzzy logic were applied to obtain effective parameters for the implementation of a greenhouse control system.
Incluido en: https://ieeexplore.ieee.org/document/9836977/authors#authors
Extensión: 2 páginas
Acceso: Acceso restringido
Fuente: Universidad Continental
Repositorio Institucional - Continental
Aparece en las colecciones: Tesis

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