Identification of wheat classes using wavelet features from near infrared hyperspectral images of bulk samples.
By Ruplal Choudhary, S. Mahesh, Jitendra Paliwal, Digvir S. Jayas. 2009
106 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics
View Paper: https://www.semanticscholar.org/paper/3a8cee55fc71e9b66aec8742e11c89c2b127bca7
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In Analytical Chemistry
In Biomedical Engineering
In Biophysics
Citations in the corpus
- Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review (2012, background): “, 2008), wheat kernels classification (Mahesh et al., 2008; Choudhary et al., 2009), meat quality assessment (Naganathan et al.”
- Application of Wavelet Analysis to Spectral Data for Categorization of Lamb Muscles (2014, background): “2011), classification of wheat (Choudhary et al. 2009), and assessment of crop’s Zn stress level (Liu et al.”