Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12394/12257
Title: Design of a Fuzzy Controller for the calculation of atmospheric comfort in a greenhouse
Authors: Tomas Silvestre, Elvis Orlando
metadata.dc.contributor.advisor: Huaytalla Pariona, Jaime Antonio
Keywords: Inteligencia artificial
Efecto invernadero
Publisher: Universidad Continental
Issue Date: 2022
metadata.dc.date.available: 13-Jan-2023
Citation: 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
Extension: 2 páginas
metadata.dc.rights.accessRights: Acceso restringido
metadata.dc.source: Universidad Continental
Repositorio Institucional - Continental
Appears in Collections:Tesis

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