DSSAT v4.8.6

Latest Version: 4.8.6 (July 2026) | Free of charge!

DSSAT v4.8.6 is now available:

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DSSAT 2026 European Training Program

DSSAT 2026 European Training Program

September 7-12, 2026

Technical University Munich, Germany

25th DSSAT Development Sprint

Hybrid Meeting, IFDC, Muscle Shoals | Aug 10-14, 2026

DSSAT International Training 2026

May 18-23, 2026. University of Georgia, Griffin.

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)

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

26
Jul

17th Hybrid DSSAT Development Sprint, July 25-29, 2022

“Sod Couch” at the University of California Davis Virtual DSSAT Sprint participants around the world During the week of July 25-29, 2022, the 17th DSSAT Development Sprint was held in a “Hybrid” format based on the success of the prior DSSAT Development “Hybrid” Sprints.. The DSSAT Development Sprint was hosted by the Department of Land, […]

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01
Jul

Crop Modeling as a Tool for Understanding the Genotype x Environment Interaction

On June 23, 2022, Gerrit Hoogenboom conducted an on-line workshop and seminar entitled “Crop Modeling as a Tool for Understanding the Genotype x Environment Interaction.” The overall goal of the workshop was to introduce the participants of the workshop to the application of dynamic crop simulation models with emphasis on using crop models for understanding […]

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13
Jun

Arjan Gijsman

Dr. Arjan Gijsman passed away on June 13, 2021, after a very long battle with the merciless disease Multiple Scleroris. Arjan played an active role in the development and advancement of the Cropping System Model (CSM) of DSSAT. To recognize Arjan’s contributions to crop modeling and DSSAT, he is included as a co-author of the […]

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18
May

DSSAT 2022 International Training Program at the University of Georgia

DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 17-22, 2022 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers […]

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14
May

Dr. Cynthia Rosenzweig – 2022 World Food Prize Laureate

Cynthia Rosenzweig UNITED STATES Dr. Cynthia Rosenzweig of the United States will receive the 2022 World Food Prize for her seminal contributions to understanding and predicting the impacts of the interaction between climate and food systems. Through designing and leading rigorous, collaborative observational and modeling research, she provided the evidence used by thousands of decision-makers […]

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04
Apr

Final DSSAT Version 4.8 released

Since the release of DSSAT Version 4.7.5, the DSSAT model development team has been working diligently to improve the Cropping System Model (CSM) of DSSAT as well as the various tools, utilities, and application programs. Much progress was made during the DSSAT Development Sprints or Hackathons that are held bi-annually. We evaluated the first version […]

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18
Mar

DSSAT 2022 Training Course at ILRI Sholla Campus, Addis Ababa, Ethiopia

Participants of the DSSAT 2022 Training Course held from March 14-18, 2022 at the ILRI Sholla Campus under the auspices of the Decision Support Modeling Tools for Ethiopia The Community of Practice of the Decision Support Modeling Tools for Ethiopia (DSMT-E) brings together users and developers of a wide range of simulation models. The DSSAT […]

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