DSSAT.net

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.

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.

DSSAT 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.

ICASA Data Standards Version 2.0

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