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 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 […]
We are pleased to announce the release of the CSM-CROPGRO-Perennial-Forage model in DSSAT Version 4.7, complete with species adaptations and data files for three perennial forages: Brachiaria brizantha Stapf cv. Marandu, ‘Tifton 85’ bermudagrass (Cynodon spp.), and alfalfa (Medicago sativa L.) cv. Aragón. The CROPGRO Perennial Forage Model (CROPGRO-PFM) was developed from the annual crop […]
A DSSAT training workshop was held from April 9 through April 13, 2018 at the Training Center of Pt. Great Giant Pineapple, Terbanggi Besar Km 77, Lampung Tengah, Indonesia. The workshop was attended by 21 participants who were introduced to an updated version of the ALOHA-Pineapple model of DSSAT Version 4.7, with specific applications as […]
A DSSAT International Training Program was held from March 19 through March 24, 2018 at Hôtel du Parc, Tunis, Tunisia. The workshop was financially sponsored by the Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) in Hannover, Germany as part of the Coopération régionale pour une Gestion Durable des Ressources en Eau au Maghreb Project. The workshop […]
Rice is the most important cereal crop, and it is grown in a wide range of agro-environments, from temperate to tropical regions. It is also highly vulnerable to climatic variability and has a very low nutrient-use efficiency. Crop simulation models are an attractive option for understanding and predicting the effect of the multitude of factors and […]
Decision Support for Agrotechnology Transfer (DSSAT) Team Leader and Facilitator, Gerrit Hoogenboom, led a team of DSSAT experts from the University of Florida on a 5-day international training program in IITA, Ibadan. The training titled: “Assessing crop production, nutrient management, climatic risk and environmental sustainability with simulation models,” was held from 26 February to 2 […]
UF researchers are discovering ways to efficiently use resources to provide for the world’s increasing population by growing digital crops. UF’s Institute of Food and Agricultural Sciences researchers, with the help of various fundings, have discovered new advances in precision agriculture, an interdisciplinary approach to farming that uses technology to form digital simulations of crop […]
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