Classification of Fungal Infected Wheat Kernels Using Near-Infrared Reflectance Hyperspectral Imaging and Support Vector Machine
By H. Zhang, Jitendra Paliwal, Digvir S. Jayas, N. White. 2007
65 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics
View Paper: https://www.semanticscholar.org/paper/cd02152a755c1a522494185f9301de8750b93875
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In Analytical Chemistry
In Biomedical Engineering
In Biophysics
Citations in the corpus
- Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review (2012, methodology): “On the same platform, this problem was improved by extracting various image parameters such as mean, variance, skewness, and kurtosis, and by adopting a pattern recognition method such as support vector machine, however, there was still 10% misclassification (Zhang et al., 2007).”