If you are attending the ASA-CSSA-SSSA 2023 International Annual Meeting in ST. LOUIS, come and join us at the DSSAT Open Forum where we will exchange what’s new on crop modeling research, collaboration opportunities, and development on data and tools.
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 in more than 90 countries to both mitigate and adapt to climate change in local, national and global food systems.
Presented by Gerrit Hoogenboom during the Symposium – 
“Improvement and Application of Crop Growth and Agroecosystem Models for Knowledge Advancement and Sustainable Development” as part of the 2021 ASA-CSSA-SSSA Annual Meeting held in Salt Lake City, Utah, USA
• 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.
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 water cycling as well as pest/disease dynamics. Building on topics previously discussed in Part 1, Part 2 addresses the challenges of combining modular sub-systems into whole farm system, landscape and regional models. Chapters cover topics such as integration of rotations and livestock, as well as landscape models such as agroecological zone (AEZ) models. Chapters also review the performance of specific models such as APSIM and DSSAT and the challenges of developing decision support systems (DSS) linked with such models. The final part of the book reviews wider issues in improving model reliability such as data sharing and the supply of real-time data, as well as crop model inter-comparison.
Read More… Watch the informative video Buy the bookDownload brochure
CRAFT: A New Spatial Yield Forecasting ToolThe CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools. CRAFT was an initiative of CCAFS and was developed in partnership with the Asia Risk Center, Washington State University, and the University of Florida.
Read More about CRAFT Download CRAFT v3.4
Researchers increasingly seek to integrate results from multiple experiments. The ICASA V2.0 standards allow flexible description of field experiments. Major categories of data are management, soil, weather and crop responses. The standards may be implemented in diverse digital formats. Planned improvements emphasize data quality and appropriate usage.
The new book gives a detailed description of the application of DSSAT in simulating crop and soil processes within various Agro-ecological zones in Africa. The book provides examples of the application of DSSAT models to simulate nitrogen applications, soil and water conservation practices including effects of zai technology, phosphorus and maize productivity, generation of genetic coefficients, long-term soil fertility management technologies in the drylands, microdosing, optimization of nitrogen x germplasms x water, spatial analysis of water and nutrient use efficiencies and, tradeoff analysis.
Unfortunately, for Linux/MacOS users, there is no installation for these platforms yet. Most of the tools we use in DSSAT were developed for Windows platform. In this case, you need to install a Virtual Machine in order to run Windows platform. If you are using a MacOS M1/M2 computer chip, please follow the second approach […]
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 […]
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 […]
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 […]
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 […]
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 […]
“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 […]
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