DSSAT v4.8

Latest Version: 4.8 (April 2022) | Free of charge!

DSSAT v4.8 is now available:

Request your Download

DSSAT 2022

May 16-21, 2022. University of Georgia, Griffin.

2022 World Food Prize Laureate

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.

Access the post here

DSSAT 2022 Ethiopian Workshop

Decision Support Modeling Tools for Ethiopia (DSMT-E),

Bill and Melinda Gates Foundation, ILRI Sholla Campus, Addis Ababa, Ethopia, March 14-18, 2022

16th DSSAT Development Sprint

Hybrid Meeting, University of Florida | January 18-21, 2022

Improvement and Application of Agroecosystem Models: The DSSAT experience

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

Access the presentation here

CRAFT operational in-season yield forecasts in 2022

University of Ghana, Accra, Ghana
October 25 29, 2022

24th Annual Open Forum on Crop Modeling and Decision Support Systems

If you are attending the ASA-CSSA 2021 International Annual Meeting Salt Lake City, Utah, come and join us at the DSSAT Foundation Open Forum, where we will exchange what’s new on the crop modeling research, collaboration opportunities, and related data and tools development activities.

  • Day, Date: November 8, 2021
  • Start Time: 7:30pm
  • End Time: 9:00 pm
  • Location: Room 151 DEF of the Salt Palace Convention Center

DSSAT 2021 European Training Course

Technical University of Munich, Freising, Germany
August 30 – September 4, 2021

15th DSSAT Development Sprint

Hybrid Meeting, IFDC | July 26-30, 2021

DSSAT 2021

May 17-22, 2021. University of Georgia, Griffin.

14th DSSAT Development Sprint

Virtual Meeting | January 11-15, 2021

The DSSAT crop modeling ecosystem

The DSSAT crop modeling ecosystem is one of the oldest and most widely used crop modeling platforms across the world. The success of DSSAT is based on the inclusiveness and participatory approach that has been used since the original development of the CERES and CROPGRO family of models and the emphasis on sharing data and model code. DSSAT is not just a software program, but an ecosystem of:

• 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.

Download the chapter in PDF More info/buy the book

Advances in crop modelling for a sustainable agriculture

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

Cross-continental disease and crop modeling collaborations to beat back wheat blast

Cross-continental collaborations facilitated by the CGIAR Platform for Big Data in Agriculture thrive to beat back the threat of wheat blast in Brazil and Bangladesh.

Wheat blast disease is a major threat to smallholder farmers. The disease was first discovered in Brazil in 1985. Decades later it escaped from South America when it crept its way across the ocean and appeared in Bangladesh in 2016. Wheat blast outbreaks are linked to the right climate conditions. More accurate weather forecasts, coupled with disease models are key for farmers to adapt to the threat of the disease. Effective forecasting and warning systems can also help farmers avoid unnecessary fungicide use, thereby saving them money and reducing environmental risks.

Because the disease is new, knowledge of wheat blast epidemiology and modeling was limited in Bangladesh. That’s why scientists at the International Maize and Wheat Improvement Center (CIMMYT) reached out to Professor Jose Mauricio Fernandes, a Crop Pathologist, and Mr. Felipe de Vargas, a Computer Scientist, within the Universidade de Passo Fundo (UPF) in Brazil… Read more…

CRAFT: A New Spatial Yield Forecasting Tool

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 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

ICASA Data Standards Version 2.0

icasa_v2_paper

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.

Access at ScienceDirect
Download in PDF

15
Jan

14th Virtual DSSAT Development Sprint

The 14th DSSAT Development Sprint was held from January 11-15, 2021 as a Virtual Meeting due to continuing Covid-19 Pandemic. The DSSAT Development Sprint was hosted by the Institute for Sustainable Food Systems and the Department of Agricultural & Biological Engineering of the University of Florida. One of the main goals of the DSSAT Development […]

Continue Reading →
01
Dec

Reuse, don’t lose, process-based models and components

A new system automatically transforms existing process-based crop models into different languages and simulation platforms. This new approach, described in in silico Plants, will improve the reproducibility, exchange and reuse of process-based crop models (PBM). PBM are increasingly implemented as autonomous components describing each biophysical process. According to lead author, Dr. Cyrille Ahmed Midingoyi, researcher […]

Continue Reading →
18
Nov

Crop modeling takeaways from the 2020 CGIAR Convention

This is one of a series of blogs written by our Youth in Data delegates who participated in the 2020 CGIAR Convention on Big Data in Agriculture. The global event was held virtually 19-23 October 2020. Feature photo: Alfonso Cortés / CIMMYT. During my experience as a Youth in Data 2020 delegate at the 2020 CGIAR […]

Continue Reading →
07
Aug

13th Virtual DSSAT Development Sprint

The 13th DSSAT Development Sprint was held from July 20-24, 2020 as a Virtual Meeting due to continuing Covid-19 Pandemic. The DSSAT Development Sprint was hosted by the Institute for Sustainable Food Systems and the Department of Agricultural & Biological Engineering of the University of Florida. One of the main goals of the DSSAT Development […]

Continue Reading →
22
Jun

Scientists from IITA, Wageningen and University of Florida are Optimizing Crop Models for Improved Predictions

The African Cassava Agronomy Initiative (ACAI) project scientists are working on optimizing crop models to improve the prediction of the AKILIMO decision support tools. The team is evaluating the performance of the Light Interception and Utilization (LINTUL) and Decision Support System for Agrotechnology Transfer (DSSAT) to predict the attainable yield of cassava under well managed […]

Continue Reading →
28
May

Myles Fisher

On May 27, 2020, Dr. Myles Fisher passed away after suffering a stroke. Dr. Myles Fisher was an agronomist who after working for 22 years with the Australian Commonwealth Scientific and Industrial Research Organization (CSIRO), spent most of his career as a scientist associated with the International Center for Tropical Agriculture (CIAT) based in Palmira […]

Continue Reading →
10
Apr

New DSSAT Documentation

We recently published a chapter entitled “The DSSAT crop modeling ecosystem” in the book “Advances in Crop Modeling for a Sustainable Agriculture.” This chapter provides a brief history of DSSAT, an overview of its functionality and applications, and up-to-date information on the status of the DSSAT Cropping System Model (CSM) and the DSSAT tools, utilities […]

Continue Reading →