The University of Florida and the DSSAT Foundation are sponsoring two special DSSAT sessions during the 2023 Annual Meeting of the American Society of Agronomy-Crop Science Society of America-Soil Science Society of America. The 2023 Annual Meeting is scheduled from October 29 through November 1, 2023 and will be held in St. Louis, MO. The […]
29
Apr
03
Mar
AgMIP9 – Modeling the Future of Food
The AgMIP9 Global Workshop will be hosted by Columbia University in New York City, USA from June 26-30, 2023. This year’s theme is “Modeling the Future of Food.”. Abstract submission has ended but detailed information about registration can be found on the AgMIP web portal. AgMIP9 will be organized as a hybrid meeting and will […]
27
Feb
AMEI Development Sprint
This week, the AMEI Development Sprint this week is being hosted at the University of Florida (UF) under the auspices of the collaboration between UF/IFAS and INRAE, the French National Research Institute for Agriculture, Food and the Environment. The vision of The Agricultural Model Exchange Initiative (AMEI) is to advance agricultural research through the use […]
08
Feb
Development and Evolution of the DSSAT Cropping System Model for Local to Global Applications
You are invited to join a hybrid seminar scheduled on Thursday, February 16th at 9:30 am EST in celebration of the Centennial – 100 years of the Department of Agricultural and Biological Engineering at the University of Florida. Dr. Jim Jones and Dr. Gerrit Hoogenboom will be giving a joint presentation on the “Development and […]
28
Jan
18th Hybrid DSSAT Development Sprint, January 17-20, 2023
University of Florida – In person participants Online participants During the week of January 17-20, 2023, the 18th DSSAT Development Sprint was held in a “Hybrid” format based on the success of the prior DSSAT Development “Hybrid” Sprints. The DSSAT Development Sprint was hosted by Global Food Systems Institute & Department of Agricultural and Biological […]
19
Jan
2023 DSSAT Training Program in Thailand
The University of Toyama, in collaboration with the University of Florida, the DSSAT foundation, and the Asia Pacific Network for Global Change Research (APN-GCR), organized a joint training workshop entitled “Crop Simulation Modeling and Effects of Climate Risks on Agricultural Production Systems in Southeast Asia.” The overall aim of this training program was to provide […]
17
Dec
DSSAT Advanced Training Course in Ethiopia
“Train the Trainers” DSSAT Graduation Ceremony A strong crop modeling community has developed in Ethiopia during the past several years. Under the auspices of the Community of Practice of the Decision Support Modeling Tools for Ethiopia (DSMT-E), an initial training workshop on crop modeling and DSSAT was held from March 14-18, 2022 at the International […]
15
Sep
25th Annual Open Forum on Crop Modeling and Decision Support Systems
The DSSAT Foundation will be sponsoring the 25th Annual Open Forum on Crop Modeling and Decision Support Systems during this year’s ASA-CSSA-SSSA 2022 International Annual Meeting. The forum is scheduled for Monday night, November 7, 2022, from 7:30 – 9:00 pm in Room 312 of the Baltimore Convention Center in Baltimore, Maryland. The forum is an informal discussion about crop modeling […]
26
Jul
17th Hybrid DSSAT Development Sprint, July 25-29, 2022
“Sod Couch” at the University of California Davis Virtual DSSAT Sprint participants around the world During the week of July 25-29, 2022, the 17th DSSAT Development Sprint was held in a “Hybrid” format based on the success of the prior DSSAT Development “Hybrid” Sprints.. The DSSAT Development Sprint was hosted by the Department of Land, […]
01
Jul
Crop Modeling as a Tool for Understanding the Genotype x Environment Interaction
On June 23, 2022, Gerrit Hoogenboom conducted an on-line workshop and seminar entitled “Crop Modeling as a Tool for Understanding the Genotype x Environment Interaction.” The overall goal of the workshop was to introduce the participants of the workshop to the application of dynamic crop simulation models with emphasis on using crop models for understanding […]
