Temperature and Relative Humidity Prediction in Swine Livestock Buildings

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.