Nondestructive identification of barley seeds variety using near‐infrared hyperspectral imaging coupled with convolutional neural network
Author:
Affiliation:
1. Academy of Scientific and Innovative Research Ghaziabad India
2. CSIR‐Central Scientific Instruments Organisation Chandigarh India
3. Department of Computer Science and Engineering Indian Institute of Technology Ropar Rupnagar Punjab India
Publisher
Wiley
Subject
General Chemical Engineering,Food Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13821
Reference38 articles.
1. Convolutional neural networks for vibrational spectroscopic data analysis
2. Analysis of Pregerminated Barley Using Hyperspectral Image Analysis
3. Identification of wheat classes using wavelet features from near infrared hyperspectral images of bulk samples
4. Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration
5. A practical convolutional neural network model for discriminating Raman spectra of human and animal blood
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