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Article

Abnormal phenotypic defects detection of jujube using explainable machine learning enhanced computer vision.

Journal of food science - 1 Nov 2024

Zhang Luwei, Chen Yan, Guo Xiangyun, Li You, Chen Chao, Zou Yu, Zhang Xiaoshuan, Hu Jinyou

Abstract excerpt

Jujube is susceptible to biotic and abiotic adversity stresses resulting in abnormal phenotypic defects. Therefore, abnormal phenotype fruits should be removed during postharvest sorting to increase added value. An improved maximum horizontal diameter linear regression (MHD-LR) method for size grading of jujube prior to detection of abnormal phenotypic defects was developed. The accuracy of the MHD-LR model is...

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PMID: 39322960
DOI: 10.1111/1750-3841.17393

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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