Croptracker -Model Starch Quality Vision -Artificial Intelligence Software
An Artificial Intelligence approach to starch pattern index scoring. 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.
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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.
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.