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Predicting Winter Ammonia and Methane Emissions from a Naturally Ventilated Dairy Barn in a Cold Region Using an Adaptive Neural Fuzzy Inference System

This study aims to characterize the emissions of ammonia (NH<sub>3</sub>) and methane (CH<sub>4</sub>) from naturally ventilated dairy barns located in cold regions during the winter season, thereby providing a scientific basis for optimizing dairy barn environmental management. The target barn was...

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Principais autores: Hualong Liu, Xin Wang, Tana, Tiezhu Xie, Hurichabilige, Qi Zhen, Wensheng Li
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-07-01
coleção:Agriculture
Assuntos:
dairy barn
ammonia
methane
gaseous emissions
machine learning
Acesso em linha:https://www.mdpi.com/2077-0472/15/14/1560
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