Decision Support System for Agrotechnology Transfer (DSSAT)
Description The Decision Support System for Agrotechnology Transfer (DSSAT) is a software package integrating the effects of soil, crop phenotype, weather and management options that allows users to ask "what if" questions and simulate results by conducting, in minutes on a desktop computer, experiments which would consume a significant part of an agronomist's career. It has been in use for more than 15 years by researchers in over 100 countries.
DSSAT is a microcomputer software product that combines crop, soil and weather data bases into standard formats for access by crop models and application programs. The user can then simulate multi-year outcomes of crop management strategies for different crops at any location in the world. DSSAT also provides for validation of crop model outputs; thus allowing users to compare simulated outcomes with observed results. Crop model validation is accomplished by inputting the user's minimum data, running the model, and comparing outputs. By simulating probable outcomes of crop management strategies, DSSAT offers users information with which to rapidly appraise new crops, products, and practices for adoption.
DSSAT Version 4.0 has been released! For info, please visit the ICASA Website.
Personal Computer running MS-Windows Pentium2 with 128MB RAM minimal Pentium4 with 512MB RAM recommended CD-Rom Drive Hard Disk Space requirement 300MB of free space Applications As a software package integrating the effects of soil, crop phenotype, weather and management options, DSSAT allows users to ask "what if" questions and simulate results by conducting, in hours on a desktop computer, experiments which would consume a significant part of an agronomist's career.
Main Advantages As a teaching and training tool by providing interactive responses to "what if" questions related to improved understanding of the influence of season (weather), location (site and soil) and management on growth processes plants. As a research tool, to derive recommendations concerning crop management and to investigate environmental and sustainability issues As a business tool, to enhance profitability and improve input marketing As a policy tool, for yield and area forecasting and land use planning.
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