Design of a Fuzzy Controller for the Calculation of Atmospheric Comfort in a Greenhouse

Elvis Orlando Tomas Silvestre, Jhon Stalin Figueroa Bados, Jason Moises Alanya Villanueva, Carlos Alberto Coaquira Rojo, Nabilt Jill Moggiano Aburto

Research output: Chapter in Book/ReportConference contributionpeer-review

1 Scopus citations

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.

Original languageAmerican English
Title of host publication2022 3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-51
Number of pages6
ISBN (Electronic)9781665459471
DOIs
StateIndexed - 2022
Event3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022 - Cairo, Egypt
Duration: 20 May 202222 May 2022

Publication series

Name2022 3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022

Conference

Conference3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022
Country/TerritoryEgypt
CityCairo
Period20/05/2222/05/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • artificial intelligence
  • comfort
  • fuzzy control
  • greenhouse

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