2022
DOI: 10.3390/foods11233800
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Maturity Grading and Identification of Camellia oleifera Fruit Based on Unsupervised Image Clustering

Abstract: Maturity grading and identification of Camellia oleifera are prerequisites to determining proper harvest maturity windows and safeguarding the yield and quality of Camellia oil. One problem in Camellia oleifera production and research is the worldwide confusion regarding the grading and identification of Camellia oleifera fruit maturity. To solve this problem, a Camellia oleifera fruit maturity grading and identification model based on the unsupervised image clustering model DeepCluster has been developed in t… Show more

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Cited by 4 publications
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