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...

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Autors principals:	Samuel Irungu Kigotho, Kennedy Senagi, John Olukuru, David Masereti Makori, Elfatih M. Abdel-Rahman, Evans Omondi
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2026-06-01
Col·lecció:	Machine Learning with Applications
Matèries:	Ecosystem services Climate change Carbon sequestration Carbon credits Agroecology Allometric models
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2666827026000459
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