Harvest Quality Vision Browser Scan View

This document contains a how-to step by step guide on how to view and interpret Harvest Quality Vision Results using the Croptracker web browser.

You will need the Harvest Quality Vision module to access this feature.

For more information on adding Harvest Quality Vision to your Croptracker account contact support@croptracker.com

  Instructions

1. To access your HQV results on the web, login to your Croptracker account.

 

2. From the dashboard, click on the Harvest drop down menu and select ‘Harvest Quality Vision Scans’.

 

3. On the scan results screen, the results are automatically filtered to the current day. Using the Harvest Date filter, you can adjust the dates to a larger range to view more results.

 

4. To view the results for a single scan, click on the preview image or the blue ‘View’ button in the Actions column on the right.

 

5. The scan results screen is broken up into several sections.

The first section, ‘Details’, provides context for the scan, including what variety is being scanned, when the scan was taken, who took the scan, etc.

 

6. The second section contains the scan reconstruction. This shows a 3D model of what was scanned.

Navigate around the model using the buttons at the top. Hold shift while using the scroll button to zoom in and out. The table on the right hand side lists the size (in mm) of each piece of fruit detected along with the number of data points the system used to generate that size.

 

7. The ‘Size Distribution’ section displays the size distribution of detected fruit as a bar graph. This graph can be organized by metric, imperial, or custom size class measures through the dropdown in the top left corner.

 

8. The ‘Color Distribution’ section displays the color distribution of detected fruit as a bar graph. This indicates which colors are most prevalent in the scan.

Each bar in the graph represents 5 degrees of Hue. The y-axis shows how many data point pixels from the scan fell within each hue range.

For more information on how hue is used in Croptracker, see Hue Explanation for HQV users .

 

9. The ‘Harvest Class Colors’ section displays the percentage match of this scan to any color classes set up in the system. Color classes can be filtered using column ordering or by using the search filter at the top of the table.

For more information on setting up color classes, see Harvest Class Colors .

 

10. The last section will display any inspections added to this scan. You can click view from here to view the full inspection results as needed.

 

  PDF Instructions

1. Navigate to the top of the Harvest Quality Vision Scans page.

 

2. Select the ‘Download PDF’ button.

 

3. After you’ve clicked the button, a new tab will open in your browser with the PDF formatted report.

 

Details Section:

  • Date: Date of scan

  • Farm Block/Row: The Farm Block and Row of the scan

  • Crop: The crop where the scan was taken

  • Variety: The variety of the fruit

  • Lot Code: The lot code of the scan

  • Amount: The amount of units

  • Event Link: The event link

  • Inventory Notes: The notes on the inventory

  • Location: The location of the scan

  • Comments: The comments on the event

  • Notes: The notes on the event

  • Category: The category of the scan

  • HQV Capture ID: The capture ID of the scan

  • Event Reference: The reference number of the event

  • Process Time: The process time of the scan

  • Scan Profile: The profile of the scan

  • Results: The number of results from the scan

  • Average Size: The average size of the fruits in the scan

  • Std. Deviation: The standard deviation between sizes

  • Tracking Code: The tracking code of the scan

  • Scanner: The person who scanned

 

Size Distribution Section:

  • Size distribution: Shows the size distribution of detected fruit as a bar graph. It compares the harvest class size range (mm) by the percentage of fruit that fell into that size range.

 

Color Distribution Section:

  • Color Distribution: Shows the color distribution of detected fruit as a bar graph. It compares the hue value to the number of data point pixels that fell into that color range.

 

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