Cargando…
NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface
In this study, a hyperspectral imaging system of 866.4–1701.0 nm was selected and combined with multivariate methods to identify wheat kernels with different concentrations of omethoate on the surface. In order to obtain the optimal model combination, three preprocessing methods (standard normal var...
Autores principales: | Zhang, Liu, Rao, Zhenhong, Ji, Haiyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679316/ https://www.ncbi.nlm.nih.gov/pubmed/31319577 http://dx.doi.org/10.3390/s19143147 |
Ejemplares similares
-
Fate of chlorpyrifos, omethoate, cypermethrin, and deltamethrin during wheat milling and Chinese steamed bread processing
por: Yu, Lili, et al.
Publicado: (2021) -
Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis
por: Feng, Xuping, et al.
Publicado: (2017) -
Pigment analysis based on a line-scanning fluorescence hyperspectral imaging microscope combined with multivariate curve resolution
por: Lian, Lijin, et al.
Publicado: (2021) -
NIR hyperspectral imaging and multivariate image analysis to characterize spent mushroom substrate: a preliminary study
por: Wei, Maogui, et al.
Publicado: (2017) -
Visible-NIR hyperspectral classification of grass based on multivariate smooth mapping and extreme active learning approach
por: Zhao, Xuanhe, et al.
Publicado: (2022)