Improving crop model accuracy in the development of regional irrigation and nitrogen schedules by using data assimilation and spatial clustering algorithms

Improving crop model accuracy in the development of regional irrigation and nitrogen schedules by using data assimilation and spatial clustering algorithms

Crop growth models have been used to develop irrigation and nitrogen schedules (INSs). However, differences in crop cultivar coefficients are often ignored in the development of regional INSs. This study aimed to formulate suitable INSs under spatial heterogeneities in crop cultivar coefficients. Th...

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Bibliographic Details
Main Authors: Yongqiang Wang, Kexin Sun, Yunhe Gao, Ruizhe Liu, Hongzheng Shen, Xuguang Xing, Xiaoyi Ma
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Agricultural Water Management
Subjects:
CERES-Maize crop model
Spatial clustering
Data assimilation
Regional simulation
Irrigation and nitrogen schedule (INS)
Online Access:http://www.sciencedirect.com/science/article/pii/S0378377423005103

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http://www.sciencedirect.com/science/article/pii/S0378377423005103

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