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Tomato Farm to Packinghouse Process Model

This is a Process model for Tomatoes created by the Stasiewicz Lab at the University of Illinois Urbana-Champaign. 

Goal

The goal of this model is to assess the best sampling-testing plan and process stage combinations for tomatoes (Outputs are power and relative efficacy)

How to Use

The main model files are inside the "Model" Folder
	- Final_Analysis.py: Contains the analyses presented in the Manuscript
	- Funz.T.py: Contain the functions used to run the model
	- MainModel.py: Contains the process model (collect outputs and links functions togeter)
	- Scen_T: Used to select optional model inputs
	- DepInputz: Other input file that runs specific dependent inputsz
	-Inputz_T: Contains inputs for the model that are randomized for each run
	-Dictionariez_T: Creates dataframes for outputs collection as the main model runs. 

Raw model data

-Located in the Spydata to Produce Model Outputs folder - This contains the output data that is produce from running Final_Analysis.py
-Data tomato Outputs: Contains the CSV files that the Final Analysis.py produces

Summary Excel Files

The main repository file contains a summary excel file for the relative efficact data and the power data. These documents contain the data that is reflected in the manuscript

Parametrization

Document containing related references used to parametrize the model. 

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