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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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)

21st DSSAT Development Sprint

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

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

07
Feb

20th AMEI Development Sprint at University of Florida

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. The event was organized in collaboration with the Laboratory of Ecophysiology of Plants under Environmental Stress (LEPSE) of the French National Research Institute for Agriculture, Food, and the Environment (INRAE). […]

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29
Jan

24th Hybrid DSSAT Development Sprint at the University of Florida

January 5–9, 2026 | Gainesville, Florida & Online The 24th DSSAT Development Sprint, held from January 5–9, 2026, at the University of Florida, marked another milestone in the continuous evolution of the DSSAT Cropping System Model and its expanding ecosystem of tools. Hosted by the Global Food Systems Institute and the Department of Agricultural and […]

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18
Dec

Florida Crop BMP Data Template: New Videos

Researchers often struggle to organize data from field experiments in a way that ensures the work is fully documented and can readily be re-analyzed or used with models or other tools. The Florida Crop BMP Template is a simple spreadsheet-based tool for organizing data in a consistent fashion. Structured using categories similar to DSSAT’s file-X, […]

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02
Oct

28th Annual Open Forum on Crop Modeling and Decision Support Systems

The DSSAT Foundation will be sponsoring the 28th Annual Open Forum on Crop Modeling and Decision Support Systems during this year’s ASA-CSSA-SSSA (CANVAS) 2025 International Annual Meeting. The forum is scheduled for Monday night, November 10, 2025, from 7:30 – 9:00 pm in the Grand Ballroom I, Salt Palace Convention Center, Salt Lake City, Utah. The forum is an […]

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10
Sep

iCROPM 2026 – Crop Modelling for Agriculture and Food Security under Global Change

For further information, please visit the iCROPM 2026 web portal at www.icropm2026.org or contact the Secretariat at icropm2026@thetriumph.com.

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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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