The improved winter wheat yield estimation by assimilating GLASS LAI into a crop growth model with the proposed Bayesian posterior-based ensemble Kalman filter
Data assimilation has been demonstrated as the potential crop yield estimation approach.
Accurate quantification of model and observation errors is the key to determining the …
Accurate quantification of model and observation errors is the key to determining the …
Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods
Understanding crop responses to climate change is crucial for ensuring food security. Here,
we reviewed∼ 230 statistical crop modeling studies for major crops and summarized recent …
we reviewed∼ 230 statistical crop modeling studies for major crops and summarized recent …
Predicting rice phenology across China by integrating crop phenology model and machine learning
This study explores the integration of crop phenology models and machine learning
approaches for predicting rice phenology across China, to gain a deeper understanding of …
approaches for predicting rice phenology across China, to gain a deeper understanding of …
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) …
Simple, efficient and robust techniques for automatic multi-objective function parameterisation: Case studies of local and global optimisation using APSIM
Several techniques for automatic parameterisation are explored using the software PEST.
We parameterised the biophysical systems model APSIM with measurements from a maize …
We parameterised the biophysical systems model APSIM with measurements from a maize …
A time-dependent parameter estimation framework for crop modeling
The performance of crop models in simulating various aspects of the cropping system is
sensitive to parameter calibration. Parameter estimation is challenging, especially for time …
sensitive to parameter calibration. Parameter estimation is challenging, especially for time …
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 …
New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments
HB Dias, G Inman-Bamber, R Bermejo… - Field Crops …, 2019 - Elsevier
Sugarcane in field plot experiments in tropical Brazil (Guadalupe, Piauí State, 6.6° S),
produced very high yields under non-limiting water and nutrients. Mean stalk dry mass at 8 …
produced very high yields under non-limiting water and nutrients. Mean stalk dry mass at 8 …
Diagnostic framework for evaluating how parametric uncertainty influences agro‐hydrologic model projections of crop yields under climate change
Despite the prevalence of climate change assessments of crop yields, there are significant
limits to our understanding of how parametric uncertainty in the underlying agro‐hydrologic …
limits to our understanding of how parametric uncertainty in the underlying agro‐hydrologic …