DSSAT v4.6

Latest Version: 4.6.1.0 (Sep 2015) | Free of charge!

2012-09-09_201957_920x338

17720420720_05c8543ce5_zDSSAT International Training Workshop 2017

May 15-20, 2017
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 4.6, 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 data base management and GIS, and the application of the DSSAT-CSM model to improve management of cropping systems.

Learn more about the workshop Workshop Program

6th DSSAT Development Sprint

Oklahoma State University | January 9-13, 2017

Advanced Application of DSSAT

Arusha, Tanzania | October 5 – 12, 2016

5th DSSAT Development Sprint

University of Florida | July 25-29, 2016

DSSAT 2016

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

DSSAT 2015

The University of Georgia – Griffin | May 18-23, 2015

DSSAT 2015 Workshop at ICRISAT

ICRISAT, Hyderabad, India | 23-27 March 2015

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

WISE v1.1 Soil Profiles

Add 3,400+ Soil Profiles to Your DSSAT

2012-09-09_203129_920x338

What is DSSAT?

Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of v4.6). DSSAT is supported by data base management programs for soil, weather, and crop management and experimental data, and by utilities and application programs. The crop simulation models in DSSAT simulate growth, development and yield as a function of the soil-plant-atmosphere dynamics, and they have been used for many applications ranging from on-farm and precision management to regional assessments of the impact of climate variability and climate change. It has been in use for more than 20 years by researchers, educators, consultants, extension agents, growers, and policy and decision makers in over 100 countries worldwide.  Learn more…

05
May

Ömer tells us his thesis in 3 minutes

Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy!

Continue Reading →
27
Mar

[Q] How to resolve the XBuild error “… you have a new version of dbgrid32.ocx”?

When working with XBuild I am getting a message: “One of the tools in DSSAT might not work correctly as you have a new version of dbgrid32.ocx.” How can I resolve this?

Continue Reading →
15
Jan

The 6th DSSAT Development Sprint at Oklahoma State University

During the week of January 9 through 13, 2017 a group of DSSAT developers met at Oklahoma State University for the 6th DSSAT Development Sprint.

Continue Reading →
23
Dec

Training Workshop on the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT)

At a recent workshop participants were trained on how to reliably simulate crop yields over space, and use aggregated forecasts to improve food security on sub-national to national scales using the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT).

Continue Reading →
29
Oct

Applications of Crop Simulation Models and Decision Support Systems Workshop in La Habana, Cuba

During the week of October 24 – 28, 2016, a group of 35 agricultural scientists from 11 research institutes in Cuba met at Universidad Agraria de la Habana, located in San Jose de las Lajas, to learn about the use of crop growth simulation models.

Continue Reading →