Teasing Apart Silvopasture System Components Using Machine Learning for Optimization

Teasing Apart Silvopasture System Components Using Machine Learning for Optimization

Silvopasture systems combine tree and livestock production to minimize market risk and enhance ecological services. Our objective was to explore and develop a method for identifying driving factors linked to productivity in a silvopastoral system using machine learning. A multi-variable approach was...

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Bibliographic Details
Main Authors: Tulsi P. Kharel, Amanda J. Ashworth, Phillip R. Owens, Dirk Philipp, Andrew L. Thomas, Thomas J. Sauer
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Soil Systems
Subjects:
grazing
silvopasture
random forest
hierarchical clustering
classification and regression tree
multiple linear regression
Online Access:https://www.mdpi.com/2571-8789/5/3/41

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https://www.mdpi.com/2571-8789/5/3/41

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