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

Author:

Wang Yongqiang,Sun Kexin,Gao Yunhe,Liu Ruizhe,Shen Hongzheng,Xing Xuguang,Ma XiaoyiORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference47 articles.

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3. Comparisons among four different upscaling strategies for cultivar genetic parameters in rainfed spring wheat phenology simulations with the DSSAT-CERES-Wheat model;Chen;Agric. Water Manag.,2021

4. Impacts of climate change and climate extremes on major crops productivity in China at a global warming of 1.5 and 2.0C;Chen;Earth Syst. Dyn.,2018

5. Duan, Q., 2023. Shuffled Complex Evolution (SCE-UA) Method 〈https://www.mathworks.com/matlabcentral/fileexchange/7671-shuffled-complex-evolution-sce-ua-method〉, MATLAB Central File Exchange. Retrieved August 6, 2023.

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