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 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

DSSAT International Training 2025

May 19-24, 2025. University of Georgia, Griffin.

22nd DSSAT Development Sprint

Hybrid Meeting, UF, Gainesville | January 6-10

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

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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

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.

18th DSSAT Development Sprint

Hybrid Meeting, University of Florida, Gainesville | January 17-20, 2023

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

08
Feb

Young Malian researchers gear up for grand challenges with crop modeling

By • February 8, 2021 • News & Event • Leave a comment

Budding agricultural researchers are being trained in crop modeling to take on pressing and ever-present challenges of land, climate and food security. In a recent training program at ICRISAT-Mali, eight students learned to model agrosystems with DSSAT software, taking into account smallholder farming constraints. Crop modeling is a process that describes different stages of crop […]

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29
Jan

Advancing crop growth models using genotype-specific parameters

By • January 29, 2021 • News & Event • Leave a comment

Incorporating genotype-specific parameters and realistic trait physiology will advance crop growth models. Plant breeders face an urgent mission: of adapting crops to climate change and feeding an increased world population. Crop models can help breeders select cultivars and cultivar traits for different target environments. For instance, models can be used to evaluate traits (e.g., life […]

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15
Jan

14th Virtual DSSAT Development Sprint

By • January 15, 2021 • Everything Else • Leave a comment

The 14th DSSAT Development Sprint was held from January 11-15, 2021 as a Virtual Meeting due to continuing Covid-19 Pandemic. The DSSAT Development Sprint was hosted by the Institute for Sustainable Food Systems and the Department of Agricultural & Biological Engineering of the University of Florida. One of the main goals of the DSSAT Development […]

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01
Dec

Reuse, don’t lose, process-based models and components

By • December 1, 2020 • News & Event • Leave a comment

A new system automatically transforms existing process-based crop models into different languages and simulation platforms. This new approach, described in in silico Plants, will improve the reproducibility, exchange and reuse of process-based crop models (PBM). PBM are increasingly implemented as autonomous components describing each biophysical process. According to lead author, Dr. Cyrille Ahmed Midingoyi, researcher […]

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18
Nov

Crop modeling takeaways from the 2020 CGIAR Convention

By • November 18, 2020 • News & Event • Leave a comment

This is one of a series of blogs written by our Youth in Data delegates who participated in the 2020 CGIAR Convention on Big Data in Agriculture. The global event was held virtually 19-23 October 2020. Feature photo: Alfonso Cortés / CIMMYT. During my experience as a Youth in Data 2020 delegate at the 2020 CGIAR […]

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07
Aug

13th Virtual DSSAT Development Sprint

By • August 7, 2020 • News & Event, Past Workshops • Leave a comment

The 13th DSSAT Development Sprint was held from July 20-24, 2020 as a Virtual Meeting due to continuing Covid-19 Pandemic. The DSSAT Development Sprint was hosted by the Institute for Sustainable Food Systems and the Department of Agricultural & Biological Engineering of the University of Florida. One of the main goals of the DSSAT Development […]

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22
Jun

Scientists from IITA, Wageningen and University of Florida are Optimizing Crop Models for Improved Predictions

By • June 22, 2020 • News & Event • Leave a comment

The African Cassava Agronomy Initiative (ACAI) project scientists are working on optimizing crop models to improve the prediction of the AKILIMO decision support tools. The team is evaluating the performance of the Light Interception and Utilization (LINTUL) and Decision Support System for Agrotechnology Transfer (DSSAT) to predict the attainable yield of cassava under well managed […]

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