spectralcube 2.75b (Specim Spectral Imaging)
90
Structured Review
Specim Spectral Imaging
spectralcube 2.75b
Spectralcube 2.75b, supplied by Specim Spectral Imaging, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spectralcube+2%2E75b/spectralcube+2+75b/10__1080_slash_10798587__2017__1293927-59-13-23
Average 90 stars, based on 1 article reviews
Spectralcube 2.75b, supplied by Specim Spectral Imaging, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spectralcube+2%2E75b/spectralcube+2+75b/10__1080_slash_10798587__2017__1293927-59-13-23
Average 90 stars, based on 1 article reviews
spectralcube 2.75b - by Bioz Stars,
2026-09
90/100 stars
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Related Articles
Imaging:Article Title: Hyperspectral Reflectance Imaging for Detecting Typical Defects of Durum Kernel Surface Article Snippet: In recent years, foodstuff quality has triggered tremendous interest and attention in our society as a series of food safety problems.. The hyperspectral imaging techniques have been widely applied for foodstuff quality.. In this study, we were undertaken to explore the possibility of unsound kernel detecting (Triticum durum Desf ), which were defined as black germ kernels, moldy kernels and broken kernels, by selecting the best band in hyperspectral imaging system. Software:Article Title: Hyperspectral Reflectance Imaging for Detecting Typical Defects of Durum Kernel Surface Article Snippet: In recent years, foodstuff quality has triggered tremendous interest and attention in our society as a series of food safety problems.. The hyperspectral imaging techniques have been widely applied for foodstuff quality.. In this study, we were undertaken to explore the possibility of unsound kernel detecting (Triticum durum Desf ), which were defined as black germ kernels, moldy kernels and broken kernels, by selecting the best band in hyperspectral imaging system. |