Use of Hyperspectral Imaging to Discriminate the Variety and Quality of Rice
By Lu Wang, Dan Liu, Hongbin Pu, Da‐Wen Sun, Wenhong Gao, Z. Xiong. Food Analytical Methods, 2015
103 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics
View Paper: https://www.semanticscholar.org/paper/2d5bd491bcbbb9e0027c72f646d70db2bd83c78f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
In Biomedical Engineering
In Biophysics
- Hongbin Pu
- Zhiwei Zhu
- Da‐Wen Sun
- Lu Wang
- M. Whitworth
- Nicola Caporaso
- Ian D Fisk
- Anne Humeau-Heurtier
Citations in the corpus
- Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains (2018, methodology): “(61) acquired hyperspectral images in the range 400–1000 nm for paddy rice samples, and information such as chalkiness degree and shape features were extracted and used for subsequent cultivar discrimination by PCA and back propagation neural network (BPNN).”
- Application of Hyperspectral Imaging to Discriminate the Variety of Maize Seeds (2015, methodology): “The visible and near-infrared hyperspectral imaging (HSI) acquisition system used in the current study was the same as previous studies (Wang et al. 2014).”