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A state-of-the-art novel approach to predict potato crop coefficient (Kc) by integrating advanced machine learning tools

The crop coefficient (Kc) is one of the important elements of the actual evapotranspiration estimation. The current study aims to develop a machine learning approach to estimate the crop coefficient of potatoes (Russet Burbank variety) in Prince Edward Island province, one of Canada's most important...

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Principais autores: Saad Javed Cheema, Masoud Karbasi, Gurjit S. Randhawa, Suqi Liu, Travis J. Esau, Kuljeet Singh Grewal, Farhat Abbas, Qamar Uz Zaman, Aitazaz A. Farooque
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-08-01
coleção:Smart Agricultural Technology
Assuntos:
Potato Crop Coefficient
XGBoost
Chaos Game algorithm
SHAP
Irrigation Management
Sustainable Agriculture
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2772375525001297
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