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

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 impo...

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Bibliographic Details
Main Authors: Saad Javed Cheema, Masoud Karbasi, Gurjit S. Randhawa, Suqi Liu, Travis J. Esau, Kuljeet Singh Grewal, Farhat Abbas, Qamar Uz Zaman, Aitazaz A. Farooque
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Smart Agricultural Technology
Subjects:
Potato Crop Coefficient
XGBoost
Chaos Game algorithm
SHAP
Irrigation Management
Sustainable Agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525001297
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