Rating Superficial Scald

This scald rating module will determine the ratio of superficial scald on a piece of fruit.

Segmentation for Scald Rating

Prior to running this module, Step 2: Run Segmentation must be performed so that apples on the tray can be separated into individual images. To follow along with this tutorial, you can use the following image:

Demo image for scald analysis.

Rate Superficial Scald

Inside of your Granny project directory (created in the Step 1: Project Setup), you should have performed the segmentation step before proceeding with scald analysis. Now, you will run the scald analysis on the command-line. Like the segmentation step, you must provide several arguments. The following table lists the arguments needed for the scald analysis:

Granny Options	Description
-i cli	Indicates you want to use the command-line interface.
--analysis scald	Indicates you want to run the scald analysis.
--input	The directory where the segmented images of whole apples are kept.

Similar to the segmentation step, when you specify the --input argument, you can drag and drop the folder where the images from the segmentation step are stored. This will be the segmented_images folder created during the segmentation step. For example if the results from segmentation are in this location /home/johns_smith/demo/results/segmentation/22024-07-12-08-30/segmented_images then your command line will look like the following:

granny -i cli --analysis scald --input /home/john_smith/demo/results/segmentation/2024-07-12-08-30/segmented_images

Note

Remember, you can drag and drop a folder from the file browser into the terminal so you do not have to type the full directory path.

While running the scald analysis, Granny will output something similar to the terminal:

input                    : (user) ./results/segmentation/2024-07-12-08-30/segmented_images/

Scald Rating Results

Similar to the segmentation step, a new folder named scald will be created in the results results folder. It too will have a sub folder with the date the analysis was run. Inside this folder will be the results file named results.csv and images of each apple, with scald regions having been removed.

The results.csv file can be opened using Microsoft Excel or another spreadsheet program. The file includes the segmented image name and the “rating” which is the ratio of scald vs total fruit area.

Scald Rating Results .csv

Name	rating	TrayName
scald_example_1.png	0.05861743610519554	scald_example
scald_example_10.png	0.6306813742387682	scald_example
scald_example_11.png	0.5759842384078588	scald_example
scald_example_12.png	0.7853690476382467	scald_example
scald_example_13.png	0.7230023117519125	scald_example
scald_example_14.png	0.07240419578876933	scald_example
scald_example_15.png	0.44484797970755896	scald_example
scald_example_16.png	0.8488585551665427	scald_example
scald_example_17.png	0.3364370071189393	scald_example
scald_example_18.png	0.12257072380303646	scald_example
scald_example_2.png	0.34148965387696784	scald_example
scald_example_3.png	0.9351626861577397	scald_example
scald_example_4.png	0.030244610838261132	scald_example
scald_example_5.png	0.6816636184753969	scald_example
scald_example_6.png	0.5640562665292035	scald_example
scald_example_7.png	0.01971690192140363	scald_example
scald_example_8.png	0.02627684189524393	scald_example
scald_example_9.png	0.3658700283475841	scald_example

In addition to the results file, a copy of each segmented image is present. The area of the fruit that is not stained by iodine is removed, leaving blackness where scald was detected.

Granny’s scald rating module will also report an average tray level scald rating in the tray_summary.csv file.

tray_summary.csv

TrayName	rating
scald_example.hires_fruit	0.410304227338372