The DSSAT crop modeling ecosystem
G Hoogenboom, CH Porter, KJ Boote… - Advances in crop …, 2019 - taylorfrancis.com
1 Introduction Traditionally, research for agricultural development and improvement is based
on small plot experiments that are conducted for multiple years on a research station and, on …
on small plot experiments that are conducted for multiple years on a research station and, on …
Evaluating and adapting climate change impacts on rice production in Indonesia: a case study of the Keduang subwatershed, Central Java
A Ansari, YP Lin, HS Lur - Environments, 2021 - mdpi.com
Predicting the effect of climate change on rice yield is crucial as global food demand rapidly
increases with the human population. This study combined simulated daily weather data …
increases with the human population. This study combined simulated daily weather data …
[HTML][HTML] Assessment of climate change impact on water requirement and rice productivity
KJY N'guessan, B Adahi, AB Konan-Waidhet… - Rice Science, 2023 - Elsevier
Assessing the impact of climate change (CC) on agricultural production systems is mainly
done using crop models associated with climate model outputs. This review is one of the …
done using crop models associated with climate model outputs. This review is one of the …
Optimizing nitrogen fertilization to enhance productivity and profitability of upland rice using CSM–CERES–Rice
Nitrogen (N) deficiency can limit rice productivity, whereas the over-and underapplication of
N results in agronomic and economic losses. Process-based crop models are useful tools …
N results in agronomic and economic losses. Process-based crop models are useful tools …
Models calibration and evaluation
Calibration of crop model is standard practice, and it involves estimation of crop parameters
based upon observed field data. It is the process of estimation of unknown parameters using …
based upon observed field data. It is the process of estimation of unknown parameters using …
Comparison of three calibration methods for modeling rice phenology
Calibration is an essential step for all crop modeling studies. The goal of this study was to
compare three commonly-used calibration methods including Ordinary Least Square (OLS) …
compare three commonly-used calibration methods including Ordinary Least Square (OLS) …
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise
Calibration, the estimation of model parameters based on fitting the model to experimental
data, is among the first steps in many applications of process-based models and has an …
data, is among the first steps in many applications of process-based models and has an …
Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients
Estimating genetic coefficients is essential to accurately simulate crop development and
growth for modeling studies but has been challenging due to lack of robust and fast …
growth for modeling studies but has been challenging due to lack of robust and fast …
Evaluation of crop model prediction and uncertainty using Bayesian parameter estimation and Bayesian model averaging
A recent trend in crop modeling has been the use of multi-model ensembles (MMEs) for
impact assessment, especially as it relates to climate change. Studies have shown that …
impact assessment, especially as it relates to climate change. Studies have shown that …
Irrigation and shifting planting date as climate change adaptation strategies for sorghum
Climate change is projected to have a global impact that affect food production and security.
The objectives of this study were to determine the potential impact of climate change on …
The objectives of this study were to determine the potential impact of climate change on …