266-7 EasyGrapher v4.5: An Updated Software for Graphical and Statistical Evaluation of DSSAT v4.5 Outputs.

Poster Number 529

See more from this Division: A03 Agroclimatology & Agronomic Modeling
See more from this Session: Agroclimatology & Agronomic Modeling: II
Wednesday, November 3, 2010
Long Beach Convention Center, Exhibit Hall BC, Lower Level
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Jingyi Yang1, Craig Drury2, Robert Johnston3, Michael Simard4 and Jacob Zavitz4, (1)Agriculture and Agri-Food Canada, Greenhouse and Processing Crops Research Centre, Harrow, ON, Canada
(2)Agriculture and Agri-Food Canada, Harrow, ON, CANADA
(3)University of Guelph, Guelph, ON, Canada
(4)Faculty of Mathematics, University of Waterloo, Waterloo, ON, Canada
EasyGrapher is a software package designed by Agriculture and Agri-Food Canada for graphical and statistical evaluation of the DSSAT model (Decision Support System for Agro-technology Transfer). EasyGrapher also calculates statistics, such as Residual Mean Square Error (RMSE) to evaluate the simulated results with the measured data and the results were displayed in graphical form and the output statistics are saved as an Excel file.

EasyGrapher v1.0 was first developed using Visual Basic v6.0 in 2004 to work with DSSAT 4.0 outputs. Since then the interface design has been improved to the current version: EasyGrapher v4.5 using VS studio (VB) 2005 .NET to support DSSAT v4.5. For the graph capability, it can graph many DSSAT v4.5 outputs, including plant carbon, plant nitrogen, plant growth, soil water, soil temperature, soil organic matter, soil nitrogen, weather, mulch, management option, evapotranspiration and summary outputs. For the graph speed, it can plots plantGro.out (i.e., output from UFGA8101.SBX) within one minute, including, 47 Time-course graph, 16 XY-graphs and many statistics. EasyGrapher v4.5 is an easy-to-use graphical software to support DSSAT users for graphical display, sensitivity analysis and statistical evaluation of the DSSAT model.

See more from this Division: A03 Agroclimatology & Agronomic Modeling
See more from this Session: Agroclimatology & Agronomic Modeling: II