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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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
Download in PDF

10
Jun

DSSAT 2024 International Training Program at the Center of Regional Climate Change and Renewable Energy-Thailand – Now Postponed until 2025

The Center of Regional Climate Change and Renewable Energy (RU-CORE) at Ramkhamhaeng University, Bangkok, Thailand, in collaboration with Chiang Mai University, Chiang Mai, Thailand and the DSSAT Foundation, is planning to organize a DSSAT International Training Program from August 5 – 10, 2024 in Bangkok. The overall goal of the workshop is to familiarize the […]

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10
Jun

Cropping Systems Modeling under Changing Climate

The book entitled “Cropping Systems Modeling under Changing Climate” aims at bringing out comprehensive information on cropping systems modelling in the world. The major focus of the book is to address the integration of soil, plant, and environmental interactions for climate smart agriculture. The book covers aspects of the application of Decision Support System for […]

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02
Jun

DSSAT 2024 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 20 to 25, 2024, at the Stuckey Auditorium, Griffin Campus, University of Georgia, USA. The event was led by 9 DSSAT faculty members with 65 participants from 31 different countries. The participants received a […]

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14
May

Gridded crop modeling to simulate impacts of climate change and adaptation benefits in ACASA

Gridded crop modeling builds an understanding of how climate change impacts crops, helping researchers to adapt agricultural methods and combat food insecurity. Global temperatures are projected to warm between 1.5-2 degrees Celsius by the year 2050, and 2-4 degrees Celsius by 2100. This is likely to change precipitation patterns, which will impact crop yields, water […]

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03
May

How to download and compile the DSSAT-CSM-OS source code

We are thrilled to announce our latest resource, designed to empower the DSSAT community like never before. This resource page on the website aims to help whether you are a seasoned DSSAT developer or just starting out, this resource is for you. Please head over to our website, where you will find detailed instructions on […]

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20
Apr

Crop Modeling and Cropping System Design Undergraduate Course @ Universidad de la República, Uruguay

Training the Next Generation of Agronomists on How to Use Crop Models for Cropping System Design Group picture with participants of the “Using Crop Models for Cropping Systems Desing” 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 […]

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23
Mar

Crop Modeling and Climate Change Postgraduate Course

Training the Next Generation of Crop Modelers for Crop Model Development and Improvement Group picture with participants of the Crop Modeling and Climate Change Course at Parkhotel ‘de Bosrand’, Ede, the Netherlands. A Postgraduate Course entitled “Crop Modeling and Climate Change Course – Training the Next Generation of Crop Modelers for Crop Model Development and […]

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