Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Mean spectra of mustard seeds after smoothing with SG ( a,b ), SNV and SG smoothing ( c,d ) and SG-D2 ( e,f ) to Vis–NIR and SWIR spectral data, respectively.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques:

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: PCA for untreated and MW treated mustard seeds. PCA score plot of Vis–NIR ( a ) and SWIR ( b ) HSI pixel data, respectively.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques:

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Hyperspectral images of Vis–NIR ( a ) and SWIR ( c ) HSI system. PC1 to PC3 score image obtained from Vis–NIR ( b ) and SWIR ( d ) HSI data.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques:

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: PLS-DA classification model performance for microwave pretreated mustard using SNV + SG smoothened Vis–NIR HSI spectral data and SNV + SGD2 smoothened SWIR HSI spectral data, with 10 and 3 latent variables, respectively.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques: Biomarker Discovery

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Prediction of oil content and fatty acid contents in mustard seeds from PLSR model using Vis–NIR and SWIR HSI spectra.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques: Biomarker Discovery

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Prediction of oil content and fatty acid contents in mustard seeds from iPLS model using Vis–NIR and SWIR HSI spectra.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques: Biomarker Discovery

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Prediction map of Vis–NIR ( a ) and SWIR ( b ) HSI imaging based on PLS-R model.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques: Imaging