POTENTIAL METHODS FOR AUTOMATIC DETECTION OF CORN KERNEL DEFECTS.

S. Gunasekaran, Marvin R Paulsen

Research output: Contribution to journalArticlepeer-review

Abstract

Optical and acoustic methods were used to identify various corn kernel defects. Light reflectance measurements were very successful in detecting broken, starch-cracked and split corn kernels. For stress crack evaluations, optical imaging appears to have great potential. The ultrasonic imaging method cannot be applied for detection of defects in corn as the intercellular air spaces impede sound wave transmission through whole kernels.

Original languageEnglish (US)
JournalPaper - American Society of Agricultural Engineers
StatePublished - 1984

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

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