AE—Automation and Emerging Technologies: Rapid Machine Vision Method for the Detection of Insects and other Particulate Bio-contaminants of Bulk Grain in Transit
✍ Scribed by C. Ridgway; E.R. Davies; J. Chambers; D.R. Mason; M. Bateman
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 242 KB
- Volume
- 83
- Category
- Article
- ISSN
- 1537-5110
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✦ Synopsis
A machine vision method has been developed for the detection of adult beetles, rodent droppings and ergot in harvested wheat. Samples were presented as a monolayer of around 25 generally non-touching but randomly oriented objects. Detection rates for artificially prepared samples ranged from 87% for ergot to 100% for adult Oryzaephilus surinamensis (saw-toothed grain beetle). When applied to two commercial samples containing several insect species, detection rates were 89 and 96%. The rate of false positives arising from samples of wheat containing permitted admixture-only was low. The speed of the integrated algorithm package for detection of all three contaminant types approaches that required to scan 3 kg grain in just 3 min (the throughput required by the UK trade).