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Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods

机译：利用高光谱成像和多变量方法的多特征无损检测草莓质量

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Shizhuang Weng; Shuan Yu; Binqing Guo; Peipei Tang; Dong Liang;
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1. Non-destructive internal quality assessment of eggs using a synthesis of hyperspectral imaging and multivariate analysis [J] . Zhang Wei, Pan Leiqing, Tu Sicong, Journal of food engineering . 2015,第jula期

机译：利用高光谱成像和多变量分析综合对鸡蛋进行无损内部质量评估
2. Skullcap and germander: Preventing potential toxicity through the application of hyperspectral imaging and multivariate image analysis as a novel quality control method [J] . SandasiM., VermaakI., ChenW., Planta medica: Natural products and medicinal plant research . 2014,第15期

机译：Skullcap and Germander：通过将高光谱成像和多元图像分析作为一种新型的质量控制方法来防止潜在的毒性
3. Towards the development of a sterile model cheese for assessing the potential of hyperspectral imaging as a non-destructive fungal detection method [J] . Griffin Sholeem, Magro Marija, Farrugia Jessica, Journal of food engineering . 2021,第Octa期

机译：朝向无菌模型奶酪的开发，用于评估高光谱成像作为非破坏性真菌检测方法的潜力
4. Non-Destructive Rapid Quality Control Method for Tobacco Grading Using Visible Near-Infrared Hyperspectral Imaging [C] . Amrita Sahu, Henry Dante SPIE Commercial + Scientific Sensing and Imaging Conference . 2018

机译：可见光近红外高光谱成像技术用于烟草分级的无损快速质量控制方法
5. Detection of fecal contamination on cantaloupes and strawberries using hyperspectral fluorescence imagery. [D] . Vargas, Angela M. 2006

机译：使用高光谱荧光图像检测哈密瓜和草莓上的粪便污染。
6. Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods [O] . Shizhuang Weng, Shuan Yu, Binqing Guo, 2020

机译：利用高光谱成像和多元方法的多种功能无损检测草莓品质
7. Non-Destructive Estimation of Firmness of Strawberries (Fragaria*ananassa Duch.) Using NIR Hyperspectral Imaging [O] . Jasper G. TALLADA, Masateru NAGATA, Taichi KOBAYASHI 2006

机译：使用NIR Hyperspectral成像的草莓（Fragaria * Ananassa Duch的无损估计
8. Outlier Detection in Hyperspectral Imagery Using Closest Distance to Center with Ellipsoidal Multivariate Trimming [R] . Caulk, R. F., Reyes, K. B., Bauer, J. K. 2011

机译：利用椭球多变量修剪最近距离中心的高光谱图像离群检测

Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods

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