Predicting tree survival in agroforestry systems using machine learning classification algorithms

This article discusses the application of machine learning algorithms to predict the survival of trees in agroforestry systems. Forests play a key role in maintaining ecological balance and biodiversity, but their survival is subject to many threats, including climate change, anthropogenic impacts,...

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Bibliographic Details
Published in:	E3S web of conferences Vol. 583; p. 2018
Main Authors:	Kravtsov, Kirill, Kukartsev, Vladislav, Stepanova, Elina, Soloveva, Tatiana
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Les Ulis EDP Sciences 01.01.2024
Subjects:	Accuracy Agroforestry Algorithms Anthropogenic factors Arbuscular mycorrhizas Biodiversity Carbohydrates Classification Climate change Correlation analysis Decision trees Ecological balance Ecology Forest ecosystems Forest management Human influences Learning algorithms Machine learning Pests Phenols Survival Sustainability management Terrestrial ecosystems
ISSN:	2267-1242, 2555-0403, 2267-1242
Online Access:	Get full text
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