Varietal Classification of Wheat Seeds Using Hyperspectral Imaging Technique and Machine Learning Models-Reference-Cited by-同舟云学术

Varietal Classification of Wheat Seeds Using Hyperspectral Imaging Technique and Machine Learning Models

Published:2023 Issue: Volume: Page:253-266
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Tyagi Nitin^ORCID,Raman Balasubramanian^ORCID,Garg Neerja Mittal^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-31417-9_20

Reference20 articles.

1. Bandos, T.V., Bruzzone, L., Camps-Valls, G.: Classification of hyperspectral images with regularized linear discriminant analysis. IEEE Trans. Geosci. Remote Sens. 47(3), 862–873 (2009)

2. Bao, Y., Mi, C., Wu, N., Liu, F., He, Y.: Rapid classification of wheat grain varieties using hyperspectral imaging and chemometrics. Appl. Sci. 9(19), 4119 (2019)

3. Choudhary, R., Mahesh, S., Paliwal, J., Jayas, D.: Identification of wheat classes using wavelet features from near infrared hyperspectral images of bulk samples. Biosyst. Eng. 102(2), 115–127 (2009)

4. Fayyazi, S., Abbaspour-Fard, M., Rohani, A., Sadrnia, H., Monadjemi, S.A.H., et al.: Identification and classification of three Iranian rice seed varieties in mixed samples by morphological features using image processing and learning vector quantization neural network. Iran. Food Sci. Technol. Res. J. 10(3), 211–218 (2014)

5. Feng, L., Zhu, S., Liu, F., He, Y., Bao, Y., Zhang, C.: Hyperspectral imaging for seed quality and safety inspection: a review. Plant methods 15(1), 1–25 (2019)

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