DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 15-20, 2023 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers […]
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 […]
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 […]
18
May
DSSAT 2022 International Training Program at the University of Georgia
DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 17-22, 2022 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers […]
14
May
Dr. Cynthia Rosenzweig – 2022 World Food Prize Laureate
Cynthia Rosenzweig UNITED STATES Dr. Cynthia Rosenzweig of the United States will receive the 2022 World Food Prize for her seminal contributions to understanding and predicting the impacts of the interaction between climate and food systems. Through designing and leading rigorous, collaborative observational and modeling research, she provided the evidence used by thousands of decision-makers […]
18
Mar
DSSAT 2022 Training Course at ILRI Sholla Campus, Addis Ababa, Ethiopia
Participants of the DSSAT 2022 Training Course held from March 14-18, 2022 at the ILRI Sholla Campus under the auspices of the Decision Support Modeling Tools for Ethiopia The Community of Practice of the Decision Support Modeling Tools for Ethiopia (DSMT-E) brings together users and developers of a wide range of simulation models. The DSSAT […]
21
Jan
16th Hybrid DSSAT Development Sprint, January 18-21, 2022
During the week of January 18-21, 2022, the 16th DSSAT Development Sprint was held in a “Hybrid” format due to continuing Covid-19 Pandemic. The DSSAT Development Sprint was hosted by the Food Systems Institute and the Department of Agricultural & Biological Engineering of the University of Florida. In-person participants included six representatives from the University […]
25
Oct
iCROPM 2020: Crop Modeling for the Future
This Special Issue of The Journal of Agricultural Science is dedicated to the iCROPM 2020 Symposium. It includes six papers that are based on both oral and poster presentations from the symposium, including the final keynote presentation. Read the Editorial:iCROPM 2020: Crop Modeling for the Futureby, Gerrit Hoogenboom, Eric Justes, Christophe Pradal, Marie Launay, Senthold […]
08
Sep
Agricultural Research Data Network Increases Access to Historical Crop Data
Original by Susan McCarthy, National Agricultural Library, Ming Chan, National Agricultural Library, and Cheryl Porter, University of Florida in Research and Science Sep 08, 2021. Crop researchers are hungry for data to feed their crop models. There is a wealth of historical data that’s inaccessible because today’s crop model software applications cannot easily interpret it. USDA’s […]
