Abstract
An electronic corn kernel size grading system was developed using machine vision. Measurements of kernel length, width, and projected area were obtained independent of kernel orientation. The performance of the size-grading algorithm was compared to the results of mechanical sieving using a precision round-hole seed sizer. Average accuracy from 73.8% to 90.3% was achieved on seed corn samples that were pre-sized using precision graders.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 567-571 |
| Number of pages | 5 |
| Journal | Applied Engineering in Agriculture |
| Volume | 14 |
| Issue number | 5 |
| State | Published - Sep 1998 |
Keywords
- Corn
- Grading
- Inspection
- Machine vision
- Maize
- Seed corn
- Sieves
ASJC Scopus subject areas
- General Engineering