A DSSAT training workshop was held from November 6 through November 10, 2017 at the Center for Learning and Excellence (CLE) in Polomolok, South Cotabato, Philippines. The workshop was attended by 18 participants who were introduced to an updated version of the CSM-ALOHA-Pineapple model and DSSAT Version 4.7, with specific applications as it relates to […]
November 7, 2017 A University of Florida professor has received a top award from the Soil Science Society of America for helping to develop and apply practices that increase crops, income and help the environment. The L.R. Ahuja Ag Systems Modeling Award goes to a soil scientist, agronomist or crop scientist in recognition of distinguished […]
The DSSAT Foundation will be sponsoring the 21st Annual Open Forum on Crop Modeling and Decision Support Systems during this year’s ASA-CSSA-SSSA 2017 International Annual Meetings. The forum is scheduled for Monday night, October 23, 2017, from 7:30 – 9:00 pm at the Grand Ballroom B, Marriott Tampa Waterside in Tampa, Florida. The forum is an informal discussion […]
The DSSAT 2017 & MWCropDSS International Training Program, was successfully held at the Majestic hotel, Sakon Nakhon, Thailand from August 20-25, 2017. Twelve 12 newly recruited researchers from the Rice Department, four staff from Geo-Informatics and Space Technology Development Agency (Public Organization) (GISTDA), and six staff from the Office of Agricultural Economics (OAE) attended the […]
During the week of January 9 through 13, 2017 a group of DSSAT developers met at Oklahoma State University for the 6th DSSAT Development Sprint.
At a recent workshop participants were trained on how to reliably simulate crop yields over space, and use aggregated forecasts to improve food security on sub-national to national scales using the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT).
During the week of October 24 – 28, 2016, a group of 35 agricultural scientists from 11 research institutes in Cuba met at Universidad Agraria de la Habana, located in San Jose de las Lajas, to learn about the use of crop growth simulation models.