Hybrid Theory‐Guided Data Driven Framework for Calculating Irrigation Water Use of Three Staple Cereal Crops in China

Hybrid Theory‐Guided Data Driven Framework for Calculating Irrigation Water Use of Three Staple Cereal Crops in China

Abstract Current irrigation water use (IWU) estimation methods confront uncertainties warranting further attention, primarily stemming from constraints within model structure and data quality. This study proposes a hybrid framework that integrates multiple machine learning (ML) methods with theory‐g...

Full description

Saved in:
Bibliographic Details
Main Authors: Yong Bo, Xueke Li, Kai Liu, Shudong Wang, Dehui Li, Yu Xu, Mengmeng Wang
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Water Resources Research
Subjects:
irrigation water use
data‐driven
remote sensing
theory‐guided framework
machine learning
Online Access:https://doi.org/10.1029/2023WR035234
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1029/2023WR035234

Similar Items