State and parameter estimation of the AquaCrop model for winter wheat using sensitivity informed particle filter

Crop models play a paramount role in providing quantitative information on crop growth and field management. However, its prediction performance degrades significantly in the presence of unknown, uncertain parameters and noisy measurements. Consequently, simultaneous state and parameter estimation (...

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Bibliographic Details
Main Authors: Tianxiang Zhang, Jinya Su, Cunjia Liu, Wen-Hua Chen
Format: Default Article
Published: 2020
Subjects:
Particle filter
Sensitivity analysis
Machine learning
Multispectral image
Unmanned Aerial Vehicle
Online Access:https://hdl.handle.net/2134/13347176.v1
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