DSSAT v4.8.5

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

DSSAT v4.8.5 is now available:

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New Book: Current Crop Models – State-of-the-art and Future Developments

DSSAT Open Forum during the 2025 CANVAS Meetings

DSSAT Open Forum Session during the 2025 Annual Meeting of the American Society of Agronomy-Crop Science Society of America-Soil Science Society of America

 

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

DSSAT Downloads

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

 

20th DSSAT Development Sprint

Hybrid Meeting, University of Florida, Gainesville | January 8-12, 2024

14th AMEI Development Sprint

February 19-23, 2024, the DSSAT Team from the University of Florida (UF) participated in the 14th AMEI Development Sprint hosted by the Leibniz Centre for Agricultural Landscape Research (ZALF) located in Müncheberg, Germany.

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.

Improvement and Application of Agroecosystem Models: The DSSAT experience

Presented by Gerrit Hoogenboom during the Symposium – “Improvement and Application of Crop Growth and Agroecosystem Models for Knowledge Advancement and Sustainable Development” as part of the 2021 ASA-CSSA-SSSA Annual Meeting held in Salt Lake City, Utah, USA

Access the presentation here

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

Cultivating Food Security in Africa

27
Feb

DSSAT 2018 IITA International Training Program

By • February 27, 2018 • Blog, Everything Else, News & Event, Past Workshops, Workshops • Leave a comment

Decision Support for Agrotechnology Transfer (DSSAT) Team Leader and Facilitator, Gerrit Hoogenboom, led a team of DSSAT experts from the University of Florida on a 5-day international training program in IITA, Ibadan. The training titled: “Assessing crop production, nutrient management, climatic risk and environmental sustainability with simulation models,” was held from 26 February to 2 […]

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25
Jan

UF researchers are trying to grow potatoes and pineapples on a computer

By • January 25, 2018 • Blog, News & Event • Leave a comment

UF researchers are discovering ways to efficiently use resources to provide for the world’s increasing population by growing digital crops. UF’s Institute of Food and Agricultural Sciences researchers, with the help of various fundings, have discovered new advances in precision agriculture, an interdisciplinary approach to farming that uses technology to form digital simulations of crop […]

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19
Jan

[Q] Soil layer options

By • January 19, 2018 • Data, FAQs, Soils • Leave a comment

There are 3 methods of dealing with soil layers in DSSAT, controlled by MESOL in simulation controls: MESOL = 1: old DSSAT method of forcing soil layer thicknesses to be 5, 10, 15, 15, 15, 30, 30, 30, 60, 60, 60 cm thick. Soil properties are blended when user input layers are forced to standard […]

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12
Jan

DSSAT Sprint at University of Florida

By • January 12, 2018 • Blog, Everything Else, News & Event, Past Workshops, Workshops • Leave a comment

DSSAT Development Sprint hosted by University of Florida, January 08-12, 2018. From January 8-12, 2018, an international core set of researchers working on the DSSAT crop model, tools, and applications, met and collaborated at University of Florida in Gainesville, Florida. You can download the agenda of this Sprint here.

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10
Jan

[Q] How to compile and run DSSAT on Linux/MAC?

By • January 10, 2018 • FAQs • Leave a comment

“How to compile and run DSSAT on Linux?” Good question.

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29
Nov

Obituary for Paul Wilkens

By • November 29, 2017 • Blog, News & Event • 23 Comments

Dear Colleagues, It is with great sadness that I inform the DSSAT community that Dr. Paul Wilkens passed away on Monday, November 27, 2017.   We owe much to Paul and his dedicated work on behalf of DSSAT. Many of the current programs in DSSAT, including the DSSAT shell, the Seasonal and Sequence application programs, ATCreate, […]

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26
Nov

DSSAT v4.7 Released

By • November 26, 2017 • News & Event, Releases • Leave a comment

DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahia grass, […]

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