Výsledky vyhľadávania - "quantile regression in forest management"

Predictive Modeling of Volume and Biomass in Pinus pseudostrobus Using Machine Learning and Allometric Approaches

Autori: Pablo Antúnez Christian Wehenkel Erickson Basave-Villalobos a ďalší

Zdroj: Forest Science and Technology, Vol 21, Iss 1, Pp 110-122 (2025)

Predmety: Forest management, machine learning algorithms in forestry, predicting forest biomass, allometric modeling, Random Forest algorithm, Forestry, SD1-669.5, quantile regression in forest management

Prístupová URL adresa: https://doaj.org/article/704db43af7644df49b6c8b5d76a3b779