DSSAT v4.7

Latest Version: 4.7.0 (November 2017) | Free of charge!

DSSAT 2018 @ Indonesia

Lampung Tegah, Indonesia | April 9 – 13, 2018

DSSAT 2018 @ Tunisia

Tunis, Tunisia | March 19 – 24, 2018

DSSAT 2018 IITA International Training Program

Ibadan, Nigeria | February 26 to March 2, 2018

UF researchers are trying to grow potatoes and pineapples on a computer

January 24, 2018

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 growth, said Gerrit Hoogenboom, professor of agricultural and biological engineering and a researcher on the project.

Hoogenboom said he develops computer models and decision support systems, which allows researchers to digitally test the best ways to grow crops. So instead of doing tests in a field, they can be done on the system.

Read more…

8th DSSAT Development Sprint

University of Florida | January 08-12, 2018

Obituary for Paul Wilkens

It is with great sadness that I inform the DSSAT community that Dr. Paul Wilkens passed away on Monday, November 27, 2017.

Globally Recognized UF/IFAS Crop-Model Researcher Wins National Soil Science Award

November 7, 2017

A University of Florida professor has received a top award from the Soil Science Society of America for helping to develop and apply practices that increase crops, income and help the environment. The L.R. Ahuja Ag Systems Modeling Award goes to a soil scientist, agronomist or crop scientist in recognition of distinguished contributions and their demonstrated impact in the past five to seven years.

“It was a great honor to be recognized for my work in crop modeling and decision-support systems,” said Gerrit Hoogenboom, a UF/IFAS professor of agricultural and biological engineering and a preeminent scholar at the UF/IFAS Institute for Sustainable Food Systems.

Read more about the Award

DSSAT 2017 @ Philippines

Polomolok, South Cotabato | November 6 – 10, 2017

17720420720_05c8543ce5_zDSSAT International Training Workshop 2018

May 14-19, 2018
The University of Georgia at Griffin, Georgia, USA

Jointly presented by the DSSAT Foundation, Auburn University, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7, description of the DSSAT-Cropping System Model, CSM and its modules, and the science embedded in the models, minimum data requirements and experimental data collection for systems simulation, integration of crop simulation models with database management and GIS, and the application of the DSSAT-CSM model to improve management of cropping systems.

Learn more about the workshop Workshop Program

Short Course on Crop Systems Modeling

Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA) | September 04-08, 2017

7th DSSAT Development Sprint

IFDC | July 10-14, 2017

ICSM trait modeling workshop

International Consortium for Sugarcane Modelling (ICSM) | June 26-27, 2017

DSSAT 2017

The University of Georgia – Griffin | May 15-20, 2017

6th DSSAT Development Sprint

Oklahoma State University | January 9-13, 2017

Advanced Application of DSSAT

Arusha, Tanzania | October 5 – 12, 2016

DSSAT 2016

The University of Georgia – Griffin | May 16-21, 2016

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

What is DSSAT?

Decision Support System for Agrotechnology Transfer (DSSAT) is software application program that comprises dynamic crop growth simulation models for over 40 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 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 change. DSSAT has been in use for more than 30 years by researchers, educators, consultants, extension agents, growers, private industry, policy and decision makers, and many others in over 150 countries worldwide.  Learn more…

13
Apr

New Perennial Forage Model in DSSAT 4.7

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 […]

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12
Apr

DSSAT 2018 @ Indonesia

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 Tegah, 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 […]

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23
Mar

DSSAT 2018 @ Tunisia

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 […]

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05
Mar

Ongoing Improvements and Applications of the CERES-Rice Model

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 […]

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27
Feb

DSSAT 2018 IITA International Training Program

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 […]

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