Hyperspectral Identification of Ginseng Growth Years and Spectral Importance Analysis Based on Random Forest
Abstract
:1. Introduction
2. Materials and Methods
2.1. Ginseng Samples in Different Years
2.2. Hyperspectral Imaging and Processing
2.3. Spectral Curve Analysis and Machine Learning Modeling
3. Results and Discussion
3.1. Year by Year Identification
3.2. Identification between Food and Medicine
3.3. Differentiation and Identification of Five-Year Boundaries
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Year Label | Error Times |
---|---|
1 | 4 |
2 | 3 |
3 | 3 |
4 | 3 |
5 | 9 |
6 | 5 |
7 | 1 |
Rounds | Accuracy (%) | Average Accuracy (%) |
---|---|---|
1 | 71.4 | 60 |
2 | 42.9 | |
3 | 57.1 | |
4 | 57.1 | |
5 | 71.4 | |
6 | 42.9 | |
7 | 85.7 | |
8 | 42.9 | |
9 | 71.4 | |
10 | 57.1 |
Rounds | Accuracy (%) | Average Accuracy (%) |
---|---|---|
1 | 100 | 92.9 |
2 | 85.7 | |
3 | 85.7 | |
4 | 85.7 | |
5 | 85.7 | |
6 | 100 | |
7 | 100 | |
8 | 85.7 | |
9 | 100 | |
10 | 100 |
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Zhao, L.; Liu, S.; Chen, X.; Wu, Z.; Yang, R.; Shi, T.; Zhang, Y.; Zhou, K.; Li, J. Hyperspectral Identification of Ginseng Growth Years and Spectral Importance Analysis Based on Random Forest. Appl. Sci. 2022, 12, 5852. https://doi.org/10.3390/app12125852
Zhao L, Liu S, Chen X, Wu Z, Yang R, Shi T, Zhang Y, Zhou K, Li J. Hyperspectral Identification of Ginseng Growth Years and Spectral Importance Analysis Based on Random Forest. Applied Sciences. 2022; 12(12):5852. https://doi.org/10.3390/app12125852
Chicago/Turabian StyleZhao, Limin, Shumin Liu, Xingfeng Chen, Zengwei Wu, Rui Yang, Tingting Shi, Yunli Zhang, Kaiwen Zhou, and Jiaguo Li. 2022. "Hyperspectral Identification of Ginseng Growth Years and Spectral Importance Analysis Based on Random Forest" Applied Sciences 12, no. 12: 5852. https://doi.org/10.3390/app12125852