Deep Learning Algorithms Correctly Classify Brassica rapa Varieties Using Digital Images

Deep Learning Algorithms Correctly Classify Brassica rapa Varieties Using Digital Images

Efficient and accurate methods of analysis are needed for the huge amount of biological data that have accumulated in various research fields, including genomics, phenomics, and genetics. Artificial intelligence (AI)-based analysis is one promising method to manipulate biological data. To this end,...

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Bibliographic Details
Main Authors: Minah Jung, Jong Seob Song, Seongmin Hong, SunWoo Kim, Sangjin Go, Yong Pyo Lim, Juhan Park, Sung Goo Park, Yong-Min Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Plant Science
Subjects:
artificial intelligence
deep learning
classification model
phenotypic analysis
Brassica rapa (Brassicaceae)
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.738685/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2021.738685/full

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