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…
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 Over time, cached files can become outdated or corrupted, which may interfere with how websites and security tools like reCAPTCHA work.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 […]
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 […]
26
Jul
16th AMEI Development Sprint at INRAe, Montpellier, France
From June 16 to 20, 2025, the DSSAT team participated in the 16th AMEI Development Sprint in Montpellier, France, hosted by the Laboratory of Ecophysiology of Plants under Environmental Stress (LEPSE) of the French National Research Institute for Agriculture, Food, and the Environment (INRAe). The Agricultural Model Exchange Initiative (AMEI; available on GitHub and Crop2ML.org) seeks to advance agricultural […]
15
Jul
Updating the ICASA Data Dictionary (IDD)
The ICASA Data Dictionary describes approximately 1200 variables related to field experiments. Categories include metadata, crop management, measured crop and soil traits, soil profile descriptions, and daily weather data. These variables underly the ICASA data standards, which evolved in part from the terminology used in DSSAT. The IDD is accessible on GitHub at: https://github.com/DSSAT/ICASA-Dictionary Recent […]
10
Jun
DSSAT 2025 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 19 to 24, 2025, at the Stuckey Auditorium, Griffin Campus, University of Georgia, USA. The event was led by 10 DSSAT faculty members with 72 participants from 28 different countries. The participants received a […]
31
May
Training the Next Generation of Agronomist on How to Use Crop Models for Cropping System Design – Second Edition 2025
Group picture with participants of the “Using Crop Models for Cropping Systems Design” 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 of Crop Production from Faculty of Agronomy at Univesidad de la República in Uruguay during the […]
22
May
Reproducibility of Field Research and Simulation Studies
There are growing concerns over erosion of the public’s trust in scientific research, which ultimately affects whether research truly benefits society. In agriculture, especially in topics related to sustainable production, a recurring theme is how well research can be confirmed by other researchers. This is largely an issue of ensuring that all stages of research […]
