What is DSSAT?
Decision Support System for Agrotechnology Transfer (DSSAT) is a windows-based software application program that comprises dynamic crop growth simulation models for over 45 crops. DSSAT is supported by a range of utilities and apps for weather, soil, genetic, crop management, and observational experimental data, and includes example data sets for all crop models. The crop simulation models simulate growth, development and yield as a function of the soil-plant-atmosphere dynamics. DSSAT has been applied to address many real-world problems and issues ranging from genetic modeling to on-farm and precision management, regional assessments of the impact of climate variability and climate change, economic and environmental sustainability, and food and nutrition security. DSSAT has been used for more than 30 years by researchers, educators, consultants, extension agents, growers, private industry, policy and decision makers, and many others in over 198 countries worldwide. Learn more…
10
Jun
DSSAT 2026 European Training Program
The DSSAT Foundation, in collaboration with the Technical University of Munich (TUM) and the University of Florida will be hosting the DSSAT 2026 European Training Program from Monday, September 7 through Saturday, September 12, 2026. The workshop will be held at the World Agricultural Systems Center – Hans Eisenmann Forum of the Technical University of […]
29
May
DSSAT 2026 International Training Program at the University of Georgia
DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia, USA The DSSAT 2026 International Training Program was held from May 18 to 23, 2026, at the University of Georgia Griffin Campus in Griffin, Georgia, USA. The program focused on Assessing Crop Production, Water and Nutrient Management, Climatic Risk, and Environmental Sustainability with […]
30
Apr
Training Workshop on Agrometeorology & Crop Modeling in Cameroon
A training session entitled “Using Climate Data for Agricultural Adaptation in Tropical African Environments” was held from April 7 to 9, 2026 in Garoua, Cameroon. The workshop was held under the auspices of the Innovacc project funded by the European Union (DeSIRA Initiative), which aims to strengthen the resilience of populations to climate change in […]
27
Feb
DSSAT Training at Ghazi University, Dera Ghazi Khan, Punjab, Pakistan
A hands-on DSSAT training workshop was conducted from February 10 to 13, 2026, at Ghazi University, Dera Ghazi Khan, Pakistan. The workshop was led by two DSSAT trainers including Dr. Hafiz M Hammad from MNS University of Agriculture, Multan, and Saeed Ahmad from the Oilseeds Research Station, Khanpur with the support of six moderators including […]
27
Feb
New Book: Current Crop Models – State-of-the-art and Future Developments
Burleigh Dodds has published a new book entitled “Current Crop Models – State-of-the-art and future developments” edited by Professor Dr. Ir. Gerrit Hoogenboom. The book includes 20 chapters of the most common crop simulation models. Online orders of the book can receive a 20% discount using the GH20 code. The brochure provides further information about […]
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). […]
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 […]
