Machine Learning-Based Microclimate Model for Indoor Air Temperature and Relative Humidity Prediction in a Swine Building

Machine Learning-Based Microclimate Model for Indoor Air Temperature and Relative Humidity Prediction in a Swine Building

Indoor air temperature (IAT) and indoor relative humidity (IRH) are the prominent microclimatic variables; still, potential contributors that influence the homeostasis of livestock animals reared in closed barns. Further, predicting IAT and IRH encourages farmers to think ahead actively and to prepa...

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Bibliographic Details
Main Authors: Elanchezhian Arulmozhi, Jayanta Kumar Basak, Thavisack Sihalath, Jaesung Park, Hyeon Tae Kim, Byeong Eun Moon
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Animals
Subjects:
indoor air temperature
indoor relative humidity
swine building microclimate
ML models
smart farming
Online Access:https://www.mdpi.com/2076-2615/11/1/222

Internet

https://www.mdpi.com/2076-2615/11/1/222

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