Resumen
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.
Idioma original | Inglés estadounidense |
---|---|
Título de la publicación alojada | 2022 3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022 |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 46-51 |
- | 6 |
ISBN (versión digital) | 9781665459471 |
DOI | |
Estado | Indizado - 2022 |
Evento | 3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022 - Cairo, Egipto Duración: 20 may. 2022 → 22 may. 2022 |
Serie de la publicación
Nombre | 2022 3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022 |
---|
Conferencia
Conferencia | 3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022 |
---|---|
País/Territorio | Egipto |
Ciudad | Cairo |
Período | 20/05/22 → 22/05/22 |
Nota bibliográfica
Publisher Copyright:© 2022 IEEE.