The Department of Agricultural and Biological Engineering at the University of Florida has a world-renowned program on the development and application of dynamic crop simulation models. The department is also responsible for the Decision Support System for Agrotechnology Transfer (www.DSSAT.net), one of the most widely used crop models across the globe. A graduate research assistantship […]
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
Crop Modeling and Cropping System Design Undergraduate Course @ Universidad de la República, Uruguay
Training the Next Generation of Agronomists on How to Use Crop Models for Cropping Systems Design – Third Edition 2026 Group picture with participants of the “Using Crop Models for Cropping Systems Design” Course at Estación Experimental Dr. Mario A. Cassinoni, Paysanú, Uruguay. An Undergraduate Course entitled “Use of Crop Models for Cropping Systems Design” […]
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 […]
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, […]
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 […]
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.
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 […]
