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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.10
- 수록면
- 130 - 130 (1page)
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In vitro germination is the most common method for validating pollen performance, but it has low accuracy and reproducibility and time-consuming since it is necessary to check whether pollen germinated under a microscopic observation. We have previously proposed a new validation system that can evaluate pollen performance according to whether pollen germinated using machine learning techniques such as random forest and convolutional neural networks that perform image recognition and classification. However, supervised learning, in which labeling of pollen germination images is forced, require ... 전체 초록 보기
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