Suchergebnisse - "machine learning algorithms in forestry"
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Predictive Modeling of Volume and Biomass in Pinus pseudostrobus Using Machine Learning and Allometric Approaches
ISSN: 2158-0103, 2158-0715, 2158-0715Veröffentlicht: Seoul Taylor & Francis 02.01.2025Veröffentlicht in Forest science and technology (02.01.2025)“… This study aims to evaluate the effectiveness of machine learning algorithms in predicting key forest metrics-stem volume, root system volume, and organ …”
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Journal Article