How the Selection of Training Data and Modeling Approach Affects the Estimation of Ammonia Emissions from a Naturally Ventilated Dairy Barn—Classical Statistics versus Machine Learning

How the Selection of Training Data and Modeling Approach Affects the Estimation of Ammonia Emissions from a Naturally Ventilated Dairy Barn—Classical Statistics versus Machine Learning

Environmental protection efforts can only be effective in the long term with a reliable quantification of pollutant gas emissions as a first step to mitigation. Measurement and analysis strategies must permit the accurate extrapolation of emission values. We systematically analyzed the added value o...

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Bibliographic Details
Main Authors: Sabrina Hempel, Julian Adolphs, Niels Landwehr, David Janke, Thomas Amon
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sustainability
Subjects:
livestock
air pollutant
emission modeling
emission inventory
regression
artificial neural network
random forest
gradient boosting
gaussian process
training sample
Online Access:https://www.mdpi.com/2071-1050/12/3/1030

Internet

https://www.mdpi.com/2071-1050/12/3/1030

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