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Titre: Design of a Fuzzy Controller for the calculation of atmospheric comfort in a greenhouse
Auteur(s): Tomas Silvestre, Elvis Orlando
metadata.dc.contributor.advisor: Huaytalla Pariona, Jaime Antonio
Mots-clés: Inteligencia artificial
Efecto invernadero
Editeur: Universidad Continental
Date de publication: 2022 13-jan-2023
Référence bibliographique: 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.
Résumé: 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.
Extension: 2 páginas
metadata.dc.rights.accessRights: Restringido
metadata.dc.source: Universidad Continental
Repositorio Institucional - Continental
Collection(s) :Tesis

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