The DSSAT community is committed to promoting development of all DSSAT models and software tools as open source projects. As of December, 2019, the DSSAT Cropping System Model (CSM) code is fully open and accessible via GitHub under the BSD 3-Clause “New” or “Revised” License. This license is similar to the BSD 2-Clause License, but with […]
14
Jan
12th DSSAT Development Sprint at the University of Florida
The 12th DSSAT Development Sprint was held from January 6-10, 2020 at the University of Florida and co-hosted by the Institute for Sustainable Food Systems and the Department of Agricultural & Biological Engineering. One of the main goals of the DSSAT Development Sprint is to improve the science of the Cropping System Model (CSM) and […]
06
Dec
Cultivating Food Security in Africa
University of Florida (UF) researchers of the Institute for Sustainable Food Systems are developing ways to combat food insecurities in Africa. The African Cassava Agronomy Initiative is a five-year project to advance cassava farming by offering decision support tools. Farmers can access these applications to identify ways to maximize crop yield, improve root starch quality, and reduce […]
26
Nov
DSSAT 2019 @ South Africa
The Agrometeorology Programme of the Soil, Climate and Water Campus of the Agricultural Research Council (ARC ∙ LNR) in South Africa, in collaboration with the DSSAT Foundation, organized a DSSAT training program from September 30 through October 4, 2019 at ARC Headquarters in Pretoria, South Africa. Twenty-nine participants from South Africa, Rwanda, Botswana, Swaziland, Mauritius, […]
14
Oct
23rd Annual Open Forum on Crop Modeling and Decision Support Systems
The DSSAT Foundation will be sponsoring the 23rd Annual Open Forum on Crop Modeling and Decision Support Systems during this year’s ASA-CSSA-SSSA 2019 International Annual Meeting. The forum is scheduled for Monday night, November 11, 2019, from 7:30 – 9:00pm in Room 225A of the Henry B. Gonzalez Convention Center in San Antonio, Texas. The […]
16
Sep
DSSAT 2019 @ Pakistan
Hands-on Training workshop with titled “Climate Change Impact Assessment and Adaptation Strategies for Wheat and Groundnut Production Using Decision Support System” was organized by Department of Agronomy, PMAS Arid Agriculture University, Rawalpindi, Pakistan on 4th to 5th September 2019. The goal of the training workshop is to develop capacity building of scientists, researchers and post-graduate students […]
02
Sep
DSSAT 2019 @ Thailand
The DSSAT and MWCropDSS 2019 International Training Program entitled “Efficient and precision agricultural resource utilization under changes with simulation models and GIS” was successfully held from August 19 through August 24, 2019 at Chiang Mai University in Chiang Mai, Thailand. This workshop was jointly presented by Chiang Mai University, The University of Florida, and the […]
27
Aug
Ask Gerrit and Cheryl Anything about DSSAT
The crop models in Decision Support System for Agrotechnology Transfer (DSSAT) simulate growth, development, and yield as a function of the soil-plant-atmosphere dynamics. For more than 30 years, DSSAT has been used for many applications ranging from genetic modeling to on-farm and precision management to regional assessments of the impact of climate variability and climate […]
15
Jul
Minimum Data Requirements for Crop Modeling
CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format or lacking key […]
15
Jul
Second International Crop Modelling Symposium (iCROPM2020)
The Second International Crop Modelling Symposium (iCROPM2020) will be held February 3-5, 2020 in Montpellier, France. Four years after the first International Crop Modelling Symposium in Berlin (iCROPM2016), crop modelers from around the world will meet at the iCROPM2020 Symposium in Montpellier, France to exchange on advances in crop modelling and identify challenges and new […]
