Croptracker - Starch Quality Vision

Starch Quality Vision

An Artificial Intelligence approach to starch pattern index scoring

Croptracker Creates Confidence

Croptracker’s world-leading artificial intelligence system is used by growers worldwide to improve accuracy and objectivity in fresh produce quality control.

Starch Quality Vision is the latest in AI grading for preharvest testing of apples.

How it looks when scanning with Crop Load Vision

Croptracker Creates Consistency

In many cases, organizations will have a single person dedicated to assessing all of their starch tests to try to reduce inconsistency in their assessments. But the human eye is strongly influenced by comparison: looking at a tray of tests with a high stain value will often affect the grade of the next tray.

That’s why apple growers around the world are seeking advanced digital solutions to score their starch tests. SQV provides an objective and consistent assessment that can be performed by any worker with a simple mobile device scan.

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An iphone displays starch pattern index tests in a Cropracker event

Standardize

Eliminate inconsistency and human error.

Accurately and empirically assess your starch tests.

Optimize

Know your ideal harvest window with more accurate ripeness assessments.

Schedule staffing and bin drops ahead of time.

Analyze

Compare tests over time for a more accurate harvest forecast.

View historic harvest data and identify trends over time.

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A simplified graphic of an apple cross section

Subjectivity in Human Assessment

The data collected and processed by the human brain is naturally subjective, and our judgement of that data can be dramatically influenced by a huge variety of factors. There is no way to truly objectively grade a human administered, human sensory test. That’s why apple growers around the world are seeking advanced digital solutions to score their starch tests.

An Artificial Intelligence Approach

Starch Quality Vision uses an artificial neural network trained on thousands of starch pattern indices to establish and apply a consistent standard. Tested and trained on on the Cornell SPI scale, Starch Quality Vision is the first AI assisted grading tool for in-field starch iodine testing.

A Test Anyone Can Perform

During testing, highly trained orchard managers who have been doing this for years scored the exact same fruit differently, even just five minutes apart. Starch Quality Vision allows users to grade more starch tests faster, more accurately, and without fear of the variation that occurs when multiple assessors can’t agree on the same score.

Request your free private demo now!

Let our expert staff walk you through the Croptracker system, and answer any questions you have.

We are here to help.

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Croptracker, developed by Dragonfly IT, is a record-keeping and operations management service which provides customers with advanced solutions to drive an increase in food safety traceability while decreasing overall operational costs. Our mission is to make crop production safer, more efficient, and more profitable for growers.