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

24
Aug

DSSAT 2017 & MWCropDSS International Training Program

The DSSAT 2017 & MWCropDSS International Training Program, was successfully held at the Majestic hotel, Sakon Nakhon, Thailand from August 20-25, 2017. Twelve 12 newly recruited researchers from the Rice Department, four staff from Geo-Informatics and Space Technology Development Agency (Public Organization) (GISTDA), and six staff from the Office of Agricultural Economics (OAE) attended the […]

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19
Aug

ICSM trait modeling workshop

International Consortium for Sugarcane Modelling (ICSM) trait modeling workshop held on 26 and 27 June 2017 in Mount Edgecombe, South Africa (more…)

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04
Aug

DSSAT Sprint at IFDC

July 10-14, 2017 a core set of DSSAT developers met at IFDC in Muscle Shoals, AL to collaborate on the development of DSSAT components and to prioritize new features in the upcoming DSSAT v4.7. You can download the agenda of this Sprint here.

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09
Jun

DSSAT Training Workshop 2017 at the University of Georgia

The largest crop modeling workshop of the year, the DSSAT 2017 International Training Program, was successfully held at the University of Georgia – Griffin Campus from May 15 – 20, 2017.

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05
May

Ömer tells us his thesis in 3 minutes

Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy!

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15
Jan

The 6th DSSAT Development Sprint at Oklahoma State University

During the week of January 9 through 13, 2017 a group of DSSAT developers met at Oklahoma State University for the 6th DSSAT Development Sprint.

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23
Dec

Training Workshop on the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT)

At a recent workshop participants were trained on how to reliably simulate crop yields over space, and use aggregated forecasts to improve food security on sub-national to national scales using the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT).

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