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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Detalhes bibliográficos

Principais autores:	Elanchezhian Arulmozhi, Jayanta Kumar Basak, Thavisack Sihalath, Jaesung Park, Hyeon Tae Kim, Byeong Eun Moon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-01-01
coleção:	Animals
Assuntos:	indoor air temperature indoor relative humidity swine building microclimate ML models smart farming
Acesso em linha:	https://www.mdpi.com/2076-2615/11/1/222
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