• Crop model users;
• Crop model trainers;
• Crop model developers;
• Models for the most important food, feed, fiber, and fuel crops;
• Tools and utilities for data preparation;
• Minimum data for model calibration and evaluation; and
• Application programs for assessing real-world problems.
What is DSSAT?
Decision Support System for Agrotechnology Transfer (DSSAT) is software application program that comprises dynamic crop growth simulation models for over 40 crops. DSSAT is supported by a range of utilities and apps for weather, soil, genetic, crop management, and observational experimental data, and includes example data sets for all crop models. The crop simulation models simulate growth, development and yield as a function of the soil-plant-atmosphere dynamics. 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 change. DSSAT has been in use for more than 30 years by researchers, educators, consultants, extension agents, growers, private industry, policy and decision makers, and many others in over 150 countries worldwide. Learn more…
The 12th DSSAT Development Sprint was held from January 06-10, 2020, at the Institute for Sustainable Food Systems & Agricultural and Biological Engineering Department of the University of Florida. The DSSAT Development Sprints are open to anyone interested in programming, but note these are not advanced training workshops.
This collection summarises key advances in crop modelling, with a focus on developing the next generation of crop and whole-farm models to improve decision making and support for farmers. Chapters in Part 1 review advances in modelling individual components of agricultural systems, such as plant responses to environmental conditions, crop growth stage prediction, nutrient and […]
University of Florida (UF) researchers 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 the yield gap. The project goal is […]
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, […]
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 […]
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 […]
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 […]