Evaluation of crop model prediction and uncertainty using Bayesian parameter estimation and Bayesian model averaging
- DOI
- 10.1016/j.agrformet.2021.108686
- Published
- 2021-12
- Container
- Agricultural and Forest Meteorology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.agrformet.2021.108686,
title = {Evaluation of crop model prediction and uncertainty using Bayesian parameter estimation and Bayesian model averaging},
author = {Yujing Gao and Daniel Wallach and Toshihiro Hasegawa and Liang Tang and Ruoyang Zhang and Senthold Asseng and Tamer Kahveci and Leilei Liu and Jianqiang He and Gerrit Hoogenboom},
year = {2021},
journal = {Agricultural and Forest Meteorology},
doi = {10.1016/j.agrformet.2021.108686},
url = {https://doi.org/10.1016/j.agrformet.2021.108686}
}RIS
TY - JOUR TI - Evaluation of crop model prediction and uncertainty using Bayesian parameter estimation and Bayesian model averaging AU - Yujing Gao AU - Daniel Wallach AU - Toshihiro Hasegawa AU - Liang Tang AU - Ruoyang Zhang AU - Senthold Asseng AU - Tamer Kahveci AU - Leilei Liu AU - Jianqiang He AU - Gerrit Hoogenboom PY - 2021 JO - Agricultural and Forest Meteorology DO - 10.1016/j.agrformet.2021.108686 UR - https://doi.org/10.1016/j.agrformet.2021.108686 ER -
APA
Gao, Y., Wallach, D., Hasegawa, T., Tang, L., Zhang, R., Asseng, S., Kahveci, T., Liu, L., He, J., & Hoogenboom, G. (2021). Evaluation of crop model prediction and uncertainty using Bayesian parameter estimation and Bayesian model averaging. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2021.108686
Source records
- crossref · retrieved 2026-09-27T14:39:14.850Z