机译:近红外高光谱成像技术用于商品茶产品的非破坏性分类
WestCHEM, Department of Pure and Applied Chemistry and Centre for Process Analytics and Control Technology, University of Strathclyde;
WestCHEM, Department of Pure and Applied Chemistry and Centre for Process Analytics and Control Technology, University of Strathclyde;
Hyperspectral Imaging Centre, Department of Electronic and Electrical Engineering, University of Strathclyde;
Unilever R&D Colworth,Department of Chemical and Process Engineering, University of Surrey;
Unilever R&D Colworth;
Hyperspectral Imaging Centre, Department of Electronic and Electrical Engineering, University of Strathclyde;
Imaging spectroscopy; Hypercube; Multivariate; Data visualisation; Neighbourhood methods;
机译:基于可见光和近红外高光谱成像的苹果萎缩时间的非破坏性分类
机译:在近红外高光谱成像中融合光谱和纹理信息以改善绿茶分类建模
机译:使用可见和近红外高光谱成像进行不同发酵度的五种中国茶几的分类
机译:可见和近红外高光谱成像的应用,以进行农产品的非破坏性检测
机译:长波长近红外高光谱成像用于分类和评估不同生长地点和作物年限的小麦散装样品的质量。
机译:使用近红外高光谱成像技术和多元分析对单个葡萄种子进行无损快速鉴别和可视化
机译:近红外高光谱成像中的融合光谱和纹理信息,提高绿茶分类模型