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.
Decision Support System for Agrotechnology Transfer (DSSAT) is a windows-based software application program that comprises dynamic crop growth simulation models for over 45 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 applied to address many real-world problems and issues ranging from genetic modeling to on-farm and precision management, regional assessments of the impact of climate variability and climate change, economic and environmental sustainability, and food and nutrition security. DSSAT has been used for more than 30 years by researchers, educators, consultants, extension agents, growers, private industry, policy and decision makers, and many others in over 198 countries worldwide. Learn more…
The DSSAT model development team has been working hard to enhance the Cropping System Model (CSM) and the DSSAT suite of tools, utilities, and applications. After a year of remarkable progress and bi-annual Development Sprints, we are thrilled to announce the latest advancements. Major Updates in DSSAT Version 4.8.5: The December 2024 release introduces new tools, […]
On November 11th, a diverse group of experts convened to discuss the latest advancements and challenges in crop modeling. The meeting brought together researchers, engineers, and agricultural scientists from around the globe to share insights on improving crop models to address emerging agricultural needs. Key Topics and Discussions 1. Expanding Crop Models for Emerging Needs […]
From December 16 – 18, 2024 the Department of Agronomy, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan organized a three-day workshop entitled “International workshop on DSSAT: Assessing Climate Change Impact, Adaptation and Mitigation using Crop Simulation Models.” Speakers and presenters included Prof. Dr. Ir. Gerrit Hoogenboom, University of Florida; Prof. Dr. Shakeel Ahmad, […]
We are excited to announce that the AgMIP10 website is live and registration is open for the upcoming global workshop at the International Maize and Wheat Improvement Center (CIMMYT) in El Batán, Mexico from March 31-April 4, 2025. You can access the site here. The tagline of AgMIP10 is Responding to Climate Change Urgency. The meeting will feature […]
The next edition of the International Crop Modelling Symposium (iCROPM2026) will be held in Florence, Italy, from February 2 to 4, 2026. Six years after the last symposium in Montpellier, France (iCROPM2020), international experts, researchers, agronomists, and policymakers will meet again to discuss the latest innovations and identify new challenges and opportunities in crop modelling […]
We recently published a manuscript entitled “Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients” in Computers and Electronics in Agriculture. The study describes improvements in the Generalized Likelihood Uncertainty Estimation (GLUE) program, introducing a new parallel computing system for calibrating genetic parameters within the crop […]
The DSSAT Foundation will be sponsoring the 27th Annual Open Forum on Crop Modeling and Decision Support Systems during this year’s ASA-CSSA-SSSA 2024 International Annual Meeting. The forum is scheduled for Monday night, November 11, 2024, from 7:30 – 9:00 pm in Room La Reina on the second floor of the Hilton Palacio del Rio Hotel, San Antonio, Texas. The forum […]
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