Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12394/12257
Titolo: Design of a Fuzzy Controller for the calculation of atmospheric comfort in a greenhouse
Autori: Tomas Silvestre, Elvis Orlando
metadata.dc.contributor.advisor: Huaytalla Pariona, Jaime Antonio
Parole chiave: Inteligencia artificial
Efecto invernadero
Editore: Universidad Continental
Data: 2022
metadata.dc.date.available: 13-gen-2023
Citazione: 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.
metadata.dc.identifier.doi: https://doi.org/10.1109/AIRC56195.2022.9836977
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.
metadata.dc.relation: https://ieeexplore.ieee.org/document/9836977/authors#authors
Estensione: 2 páginas
metadata.dc.rights.accessRights: Acceso restringido
metadata.dc.source: Universidad Continental
Repositorio Institucional - Continental
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