Estimating Daily Reference Crop Evapotranspiration in Northeast China Using Optimized Empirical Models Based on Heuristic Intelligence Algorithms

Estimating Daily Reference Crop Evapotranspiration in Northeast China Using Optimized Empirical Models Based on Heuristic Intelligence Algorithms

Accurately estimating reference crop evapotranspiration (ETo) improves agricultural water use efficiency. However, the accuracy of ETo estimation needs to be further improved in the Northeast region of China, the country’s main grain production area. In this research, meteorological data from 30 sit...

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Bibliographic Details
Main Authors: Zongyang Li, Zhengxin Zhao, Liwen Xing, Lu Zhao, Ningbo Cui, Huanjie Cai
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Agronomy
Subjects:
reference crop evapotranspiration
genetic algorithm
particle swarm optimization
differential evolution
optimized empirical model
Online Access:https://www.mdpi.com/2073-4395/15/3/599
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