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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.9
- 수록면
- 813 - 829 (17page)
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Internal and external defects of eggs should be detected to prevent cross-contamination ofintact eggs by abnormal eggs during storage. Emerging detection technologies for abnormaleggs were introduced as an alternative to human inspection. The advanced technologiescould rapidly detect abnormal eggs. Abnormal egg detection technologies using acoustic response,machine vision, and spectroscopy have been commercialized in the poultry industry.
Non-destructive egg quality assessment methods meanwhile could preserve the value ofeggs and improve detection efficiency. In order to improve detection efficiency, it is essentialto select a proper algorithm for classifying the types of abnormal eggs. This review deals withthe performance of the detection technologies for various types of abnormal eggs in recentlypublished resources. In addition, the discriminant methods and detection algorithms of abnormaleggs reported in the published literature were investigated. Although the majority of thestudies were conducted on a laboratory scale, the developed detection technologies for internaland external defects in eggs were technically feasible to obtain the excellent detection accuracy.
To apply the developed detection technologies to the poultry industry, it is necessaryto achieve the detection rates required from the industry.
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