Effect of variation in the observations on the prediction uncertainty in crop model simulation: Use ORYZA (v3) as a case study
Author:
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Elsevier BV
Subject
Ecological Modeling
Reference54 articles.
1. Quantifying model-structure- and parameter-driven uncertainties in spring wheat phenology prediction with Bayesian analysis;Alderman;Eur. J. Agron.,2016
2. Evaluation of the Oryza2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment;Artacho;Chil. J. Agric. Res.,2011
3. Crop modeling for climate change impact and adaptation;Asseng,2015
4. ORYZA2000: modeling lowland rice;Bouman,2001
5. Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions;Bouman;Agric. Syst.,2006
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