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.
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 […]
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 […]
The Agricultural Research Council of South Africa will be hosting an International Crop Modeling Training Workshop on DSSAT in collaboration with the University of Florida and the DSSAT Foundation. The workshop will be held from September 30th to October 4th, 2019 at the ARC Offices in Pretoria, preceding the 35th Annual Conference of the South African […]
The 11th DSSAT Development Sprint was held from July 15-19, 2019, at the International Fertilizer Development Center (IFDC) in Muscle Shoals, Alabama. One of the main goals of the DSSAT Development Sprints is to improve both the science and the tools of the DSSAT crop modeling ecosystem using a “hackathon” approach. Significant achievements and outcomes […]
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 […]
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