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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.

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Note

To view and add results to this section, you need the Quality Control Module.

See Quality Control, or contact support@croptracker.com for more information on the quality control module.

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 📘 PDF Instructions

Tip

To export this data to an easy to read PDF, follow the instructions below.

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

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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.

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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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