Welcome to Growth Predictor
A predictive modelling and QMRA software based on gamma concept models
Developer: Prof. Panos N. Skandamis
Agricultural University of Athens,pskan@aua.gr
Import/Export data
Built-in dbase models
Estimating time for certain log increase
Reset numerical inputs / store-upload cardinal values
Farm to end of processing
End of processing to retail
Retail
Domestic environment
Exposure & Illness metrics
STEP 1: Upload and plot the data to be fitted
STEP 2: Set starting values for Cardinal Parameters
STEP 3. Assess the Parameter Estimates
STEP 4. Assess the Goodness-of-Fit criteria
STEP 5. View the Predicted vs Observed plot
STEP 1: Upload and plot the data to be fitted
STEP 2: Set starting values for Cardinal Parameters
STEP 3. Assess the Parameter Estimates
STEP 4. Assess the Goodness-of-Fit criteria
STEP 5. View the Predicted vs Observed plot
STEP 1: Upload and plot the data to be fitted
STEP 2: Set starting values for Cardinal Parameters
STEP 3. Assess the Parameter Estimates
STEP 4. Assess the Goodness-of-Fit criteria
STEP 5. View the Predicted vs Observed plot
Input of heat processing/microbial thermotoleance data
Numerical outputs of heat treatment
Visulaziation of heating process
Model selection and input variables
Population/Duration panel
Simulation graph
Simulation data
Distribution Fitting
Display
Tip:
You may use the estimated distribution parameters directly in the Modular QMRA.
You may use the estimated distribution parameters directly in the Modular QMRA.