Abstract

The laser-induced fluorescence (LIF) technique, which has been widely used for food testing, can be combined with various algorithms to classify and recognize different kinds of honey. This paper proposes the Kolmogorov–Smirnov test-Gaussian mixture model (KS-GMM) algorithm, which is coupled with the LIF technique to realize accurate classification and recognition of different types of pure honey. The experiments are designed and carried out to obtain a set of LIF spectrum data from various honey and syrup samples. The proposed KS-GMM algorithm is applied for classification and recognition, with GMM, k-nearest neighbor (kNN), and decision tree algorithms as cross-validation methods. By comparing recognition results of training sets containing different amounts of data, it is found that the KS-GMM algorithm exhibits a maximum recognition accuracy of 96.52%. The research results prove that the KS-GMM algorithm outperforms, to the best of our knowledge, the other three algorithms in classifying and recognizing the honey types.

© 2021 Optical Society of America

Full Article  |  PDF Article
More Like This
Imaging of bee honey sugar crystals by second-harmonic generation microscopy

J. M. Flores-Moreno, Manuel H. De La Torre, C. Frausto-Reyes, and Rafael Casillas
Appl. Opt. 60(25) 7706-7713 (2021)

Meat species identification accuracy improvement using sample set portioning based on joint x–y distance and laser-induced breakdown spectroscopy

Lianbo Guo, Weinan Zheng, Feng Chen, Weiliang Wang, Deng Zhang, Zhenlin Hu, and Yanwu Chu
Appl. Opt. 60(20) 5826-5831 (2021)

Accuracy improvement in plastics classification by laser-induced breakdown spectroscopy based on a residual network

Xinying Peng, Bohan Xu, Zhiying Xu, Xiaotao Yan, Ning Zhang, Yuzhi Qin, Qiongxiong Ma, Jiaming Li, Nan Zhao, and Qingmao Zhang
Opt. Express 29(21) 33269-33280 (2021)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Data Availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (9)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (4)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (6)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Metrics