Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef
By Gamal ElMasry, Da‐Wen Sun, Paul Allen. 2012
383 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Animal Science and Zoology, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/bd9472822fb2040aa581389a1d84c44a73c733af
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In Analytical Chemistry
In Animal Science and Zoology
In Biomedical Engineering
Citations in the corpus
- Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety (2014, neutral): “PCA and PLSR are the mostly used modeling method.”
- Rapid Quantification Analysis and Visualization of Escherichia coli Loads in Grass Carp Fish Flesh by Hyperspectral Imaging Method (2015, background): “Different colours in the final distribution map represented different values of E. coli in the image in proportion to the spectral differences of the corresponding pixels (ElMasry et al. 2012a).”
- Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data (2021, methodology): “As to partial least square regression (PLSR), the weighted regression coefficient of each variable in the partial least squares (PLS) model indicates the significance of the wavelength in the model [32].”
- Application of Wavelet Analysis to Spectral Data for Categorization of Lamb Muscles (2014, methodology): “Hyperspectral imaging is a technique integrating both spectroscopic and imaging techniques in one system for simultaneously providing physical and chemical characteristics of an object as well as their spatial distributions (Kamruzzaman et al. 2011, 2012; ElMasry et al. 2011, 2012).”
- Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry (2014, methodology): “ElMasry et al. (2012) predicted fresh beef tenderness with a coefficient of determination (R2cv) of 0.77 based on 15 important wavelengths identified by β -coefficients from PLSR models in a pushbroom HSI system (900–1,700 nm).”
- Use of Hyperspectral Imaging to Discriminate the Variety and Quality of Rice (2015, methodology): “Weighted regression coefficients of PLS-DA model were applied in selecting optimal wavelengths (ElMasry et al. 2012).”