We recently published a manuscript entitled “Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients” in Computers and Electronics in Agriculture. The study describes improvements in the Generalized Likelihood Uncertainty Estimation (GLUE) program, introducing a new parallel computing system for calibrating genetic parameters within the crop […]
01
Nov
27
Aug
Ask Gerrit and Cheryl Anything about DSSAT
The crop models in Decision Support System for Agrotechnology Transfer (DSSAT) simulate growth, development, and yield as a function of the soil-plant-atmosphere dynamics. For more than 30 years, DSSAT has been used for many applications ranging from genetic modeling to on-farm and precision management to regional assessments of the impact of climate variability and climate […]
15
Apr
DSSAT participates in the Agricultural Model Exchange Initiative
A model development workshop was held at the University of Florida April 9-11, 2019 to collaborate on the Agricultural Model Exchange Initiative (AMEI), an open initiative that aims to address challenges for exchanging model units at different granularities between modeling frameworks. Pierre Martre and Cyrille Midingoyi from INRA and Christophe Pradal from CIRAD traveled to […]
27
Apr
CRAFT: A New Spatial Yield Forecasting Tool
The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools. CRAFT was […]
13
Oct
Forecasting in-season wheat and paddy yields using DSSAT
The CCAFS Regional Agriculture Crop Forecasting Toolkit (CRAFT) was developed using DSSAT and tested to estimate in-season crop yields for wheat and paddy in Nepal.
18
Sep
MarkSim Standalone for Advanced DSSAT Users
Theme 4 of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) released a new version of MarkSim – MarkSim Standalone, which allows users to generate future daily weather data from command line interface.
