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Author

Zhijia Wang

2 papers indexed here

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Open access Sep 2026

PMDS-YOLO: A Lightweight Deep Learning Model for Non-Destructive Citrus Fruit Diameter Estimation and Quality Grading

Citrus fruit size is a core quality attribute that determines commercial value and market acceptance. In postharvest processing, rapid, accurate, and non-destructive diameter estimation is an essential prerequisite for automated grading, yet existing computer vision methods are difficult to deploy on factory edge devic...

Hang Liu, Zhi-Yong Cao, Zi-Fei Ma et al. · 0 citations
Open access Jul 2026

Non-Destructive Prediction of Sugar Content in ‘Bingtang’ Oranges Using Visible/Near-Infrared Hyperspectral Imaging and Machine Learning Models

Yunnan ‘Bingtang’ oranges possess significant market competitiveness due to their unique taste and high sugar content. However, the limited efficiency of traditional quality inspection methods severely hampers the industrial grading process. Sugar content (Brix), as a core indicator of internal quality, is also a key f...

Hongbo Zhao, Linrui Deng, Zhijia Wang et al. · 0 citations

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