Comparing allometric models to machine learning models for aboveground biomass estimation in agroforestry systems in Kenya

This study compared traditional allometric models with machine learning (ML) techniques for accurately estimating aboveground biomass (AGB) in six Acacia species within Kenyan agroforestry systems. Using tree diameter at breast height (DBH) and total height as inputs, the research evaluated allometr...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Samuel Irungu Kigotho, Kennedy Senagi, John Olukuru, David Masereti Makori, Elfatih M. Abdel-Rahman, Evans Omondi
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2026-06-01
Serier:	Machine Learning with Applications
Fag:	Ecosystem services Climate change Carbon sequestration Carbon credits Agroecology Allometric models
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2666827026000459
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!