DSSAT v4.8.5

Latest Version: 4.8.5 (December 2024) | Free of charge!

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24th DSSAT Development Sprint

Hybrid Meeting, UF, Gainesville | January 5-9, 2026

20th AMEI Development Sprint

Advancing collaboration and interoperability in crop modeling, the DSSAT team hosted the 20th AMEI Development Sprint from January 20–23, 2026, at the Department of Agricultural & Biological Engineering (ABE, UF/IFAS) in Gainesville, Florida.

 

23rd DSSAT Development Sprint

Hybrid Meeting, UK, Lexington | August 4-8, 2025

DSSAT International Training 2025

May 19-24, 2025. University of Georgia, Griffin.

22nd DSSAT Development Sprint

Hybrid Meeting, UF, Gainesville | January 6-10, 2025

CRAFT: A New Spatial Yield Forecasting Tool

The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at 5 or 30 arc-minutes spatial resolutions using an ensemble modeling approach. Twenty-three important food and feed crops have been implemented using the DSSAT Cropping System Model as the main crop model engine.

CRAFT is an initiative of CCAFS and was developed in partnership with the University of Florida. It has been successfully applied to forecast the in-season yield of wheat and rice cropping systems in Nepal and Bangladesh.  It has also been evaluated for yield forecasting and climate change applications in West Africa in collaboration with the WASCAL Project, Agrhymet, and the CASCAID Project of ICRISAT.

Read More about CRAFT Download CRAFT v4.0

Enhancing crop model parameter estimation using the GLUE method and parallel computing

Introducing a new parallel computing system for calibrating genetic parameters within the crop modules of the Cropping System Model (CSM) of DSSAT The Generalized Likelihood Uncertainty Estimation Parallelized (GLUEP)

21st DSSAT Development Sprint

Hybrid Meeting, IFDC, Muscle Schoals | June 10-14, 2024

DSSAT International Training 2024

May 20-25, 2024. University of Georgia, Griffin.

Crop Modeling and Climate Change Postgraduate Course

Training the Next Generation of Crop Modelers for Crop Model Development and Improvement |

March 10-15, 2024

 

Bilateral Project Between Ankara University and the University of Florida on Capacity Building

Ankara University, in collaboration with the University of Florida, developed a project entitled “Capacity Building on the Dissemination of the Use of Agro-technological Decision Support Systems in Agriculture.” The project has been funded by the US Embassy in Türkiye under the auspices of a US-Türkiye bilateral Program.

The DSSAT crop modeling ecosystem

The DSSAT crop modeling ecosystem is one of the oldest and most widely used crop modeling platforms across the world. The success of DSSAT is based on the inclusiveness and participatory approach that has been used since the original development of the CERES and CROPGRO family of models and the emphasis on sharing data and model code. DSSAT is not just a software program, but an ecosystem of:

• Crop model users;
• Crop model trainers;
• Crop model developers;
• Models for the most important food, feed, fiber, and fuel crops;
• Tools and utilities for data preparation;
• Minimum data for model calibration and evaluation; and
• Application programs for assessing real-world problems.

Download the chapter in PDF More info/buy the book

Advances in crop modelling for a sustainable agriculture

This collection summarises key advances in crop modelling, with a focus on developing the next generation of crop and whole-farm models to improve decision making and support for farmers.
Chapters in Part 1 review advances in modelling individual components of agricultural systems, such as plant responses to environmental conditions, crop growth stage prediction, nutrient and water cycling as well as pest/disease dynamics. Building on topics previously discussed in Part 1, Part 2 addresses the challenges of combining modular sub-systems into whole farm system, landscape and regional models. Chapters cover topics such as integration of rotations and livestock, as well as landscape models such as agroecological zone (AEZ) models. Chapters also review the performance of specific models such as APSIM and DSSAT and the challenges of developing decision support systems (DSS) linked with such models. The final part of the book reviews wider issues in improving model reliability such as data sharing and the supply of real-time data, as well as crop model inter-comparison.

Read More… Watch the informative video Buy the bookDownload brochure

ICASA Data Standards Version 2.0

icasa_v2_paper

Researchers increasingly seek to integrate results from multiple experiments. The ICASA V2.0 standards allow flexible description of field experiments. Major categories of data are management, soil, weather and crop responses. The standards may be implemented in diverse digital formats. Planned improvements emphasize data quality and appropriate usage.

Access at ScienceDirect
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19
Aug

[Q] How to fix reCAPTCHA issues by clearing your browser cache?

If you are having trouble with reCAPTCHA not loading or not verifying correctly, one common fix is to flush (clear) your browser cache. Over time, cached files can become outdated or corrupted, which may interfere with how websites and security tools like reCAPTCHA work. Here is how you can flush your cache: Open your browser […]

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11
Aug

23rd Hybrid DSSAT Development Sprint at the University of Kentucky

The 23rd DSSAT Development Sprint was held from August 4–8, 2025 at the University of Kentucky in Lexington, Kentucky, and continued the DSSAT tradition of collaborative innovation in agricultural systems modeling. Hosted by Dr. Montse Salmeron and the Department of Plant and Soil Sciences, the event brought together participants in-person and virtually, with representation spanning […]

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26
Jul

16th AMEI Development Sprint at INRAe, Montpellier, France

From June 16 to 20, 2025, the DSSAT team participated in the 16th AMEI Development Sprint in Montpellier, France, hosted by the Laboratory of Ecophysiology of Plants under Environmental Stress (LEPSE) of the French National Research Institute for Agriculture, Food, and the Environment (INRAe). The Agricultural Model Exchange Initiative (AMEI; available on GitHub and Crop2ML.org) seeks to advance agricultural […]

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15
Jul

Updating the ICASA Data Dictionary (IDD)

The ICASA Data Dictionary describes approximately 1200 variables related to field experiments. Categories include metadata, crop management, measured crop and soil traits, soil profile descriptions, and daily weather data. These variables underly the ICASA data standards, which evolved in part from the terminology used in DSSAT. The IDD is accessible on GitHub at: https://github.com/DSSAT/ICASA-Dictionary Recent […]

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10
Jun

DSSAT 2025 International Training Program at the University of Georgia

DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA The DSSAT annual training was held from May 19 to 24, 2025, at the Stuckey Auditorium, Griffin Campus, University of Georgia, USA. The event was led by 10 DSSAT faculty members with 72 participants from 28 different countries. The participants received a […]

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31
May

Training the Next Generation of Agronomist on How to Use Crop Models for Cropping System Design – Second Edition 2025

Group picture with participants of the “Using Crop Models for Cropping Systems Design” Course at Estación Experimental Mario A. Cassinoni, Paysandú, Uruguay An Undergraduate Course entitled “Use of Crop Models for Cropping Systems Design” was organized by The Department of Crop Production from Faculty of Agronomy at Univesidad de la República in Uruguay during the […]

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22
May

Reproducibility of Field Research and Simulation Studies

There are growing concerns over erosion of the public’s trust in scientific research, which ultimately affects whether research truly benefits society. In agriculture, especially in topics related to sustainable production, a recurring theme is how well research can be confirmed by other researchers. This is largely an issue of ensuring that all stages of research […]

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