Improving Olive Yield Prediction Using Landsat Multispectral Data and Advanced Ensemble Learning in Tunisia

ABSTRACT Olive cultivation is a key agricultural activity in Mediterranean regions, yet its yield is highly sensitive to the impacts of climate change. Accurately predicting olive yield using optical remote sensing and data‐driven models remains a challenging task. In this study, we developed an eff...

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Detalhes bibliográficos

Principais autores:	Mohamed Kefi, Tien Dat Pham, Thin Nguyen, Mark G. Tjoelker, Viola Devasirvatham, Kenichi Kashiwagi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2025-12-01
coleção:	Journal of Sustainable Agriculture and Environment
Assuntos:	ensemble learning landsat olive Tunisia yield prediction
Acesso em linha:	https://doi.org/10.1002/sae2.70118
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