Exploring interpretable and non-interpretable machine learning models for estimating winter wheat evapotranspiration using particle swarm optimization with limited climatic data-Reference-Cited by-同舟云学术

Exploring interpretable and non-interpretable machine learning models for estimating winter wheat evapotranspiration using particle swarm optimization with limited climatic data

Published:2023-09 Issue: Volume:212 Page:108140
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Zhao Xin,Zhang Lei,Zhu Ge,Cheng Chenguang,He Jun,Traore Seydou,Singh Vijay P.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference69 articles.

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