Temperature and Relative Humidity Prediction in Swine Livestock Buildings

Andres Molano-Jimenez, Alvaro D. Orjuela-Canon, Wilmer Acosta-Burbano

Research output: Chapter in Book/ReportConference contribution

2 Scopus citations

Abstract

Based on available data from a swine livestock warehouse located in Puerto Gaitan - Meta, four models were proposed to predict relative humidity and temperature using artificial neural networks and measurements from temperature, humidity and CO2 concentration. Results seem to indicate that the model structures used are suitable for predict humidity in barns not equipped with humidity sensors and improve current installed microclimate control systems in Colombia.

Original languageEnglish (US)
Title of host publication2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538646250
DOIs
StatePublished - Jan 23 2019
Externally publishedYes
Event2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018 - Gudalajara, Mexico
Duration: Nov 6 2018Nov 9 2018

Publication series

Name2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018

Conference

Conference2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018
Country/TerritoryMexico
CityGudalajara
Period11/6/1811/9/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management

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