Asked 10th Aug, 2022

Where can I find a detailed material about the implementation of data assimilation methods (for example, Kalman Filter) for crop modeling purposes?

In our project, we are collecting ground and UAV data for calibrating and evaluating the suitability of crop simulation models in soybean seed composition prediction. A potential method we have seen is using data assimilation techniques for improve the model performance. Then, we are wondering and really appreciate some ideas of how to implement DA methods for crop modeling purposes.
Thank you

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