• Laser & Optoelectronics Progress
  • Vol. 61, Issue 9, 0930004 (2024)
Lei Tao1,2, Guangyuan Cai1,2, Zhandong Cheng1,2, Lin Huang3..., Xiuwen He1, Jiang Xu1,2 and Mingyin Yao1,2,*|Show fewer author(s)
Author Affiliations
  • 1College of Engineering, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, China
  • 2Key Laboratory of Biological Optoelectronics and Application in Jiangxi Universities, Nanchang 330045, Jiangxi, China
  • 3College of Bioscience and Bioengineering, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, China
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    DOI: 10.3788/LOP231154 Cite this Article Set citation alerts
    Lei Tao, Guangyuan Cai, Zhandong Cheng, Lin Huang, Xiuwen He, Jiang Xu, Mingyin Yao. Using Laser Induced Breakdown Spectroscopy and Machine Learning to Identify Jiangxi Spring Tea Harvesting Periods[J]. Laser & Optoelectronics Progress, 2024, 61(9): 0930004 Copy Citation Text show less
    References

    [1] Yan Z M, Zhong Y Z, Duan Y H et al. Antioxidant mechanism of tea polyphenols and its impact on health benefits[J]. Animal Nutrition, 6, 115-123(2020).

    [2] Zeng C Z, Lin H Y, Liu Z X et al. Metabolomics analysis of Camellia sinensis with respect to harvesting time[J]. Food Research International, 128, 108814(2020).

    [3] Liu Y, Huang J L, Li M H et al. Rapid identification of the green tea geographical origin and processing month based on near-infrared hyperspectral imaging combined with chemometrics[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 267, 120537(2022).

    [4] Dai W D, Qi D D, Yang T et al. Nontargeted analysis using ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry uncovers the effects of harvest season on the metabolites and taste quality of tea (Camellia sinensis L.)[J]. Journal of Agricultural and Food Chemistry, 63, 9869-9878(2015).

    [5] Cui H N, Gu H W, Li Z Q et al. Integration of lipidomics and metabolomics approaches for the discrimination of harvest time of green tea in spring season by using UPLC-Triple-TOF/MS coupled with chemometrics[J]. Frontiers in Sustainable Food Systems, 7, 1119314(2023).

    [6] Peng T Q, Yin X L, Gu H W et al. HPLC-DAD fingerprints combined with chemometric techniques for the authentication of plucking seasons of Laoshan green tea[J]. Food Chemistry, 347, 128959(2021).

    [7] Liu H L, Zeng Y T, Zhao X et al. Monitoring the authenticity of Pu'er tea via chemometric analysis of multielements and stable isotopes[J]. Food Research International, 136, 109483(2020).

    [8] Huang M Q, Wu S J, Yao M Y et al. Improving detection accuracy of laser-induced breakdown spectroscopy for Cu element in pig feed based on spatial confinement[J]. Laser & Optoelectronics Progress, 60, 0730002(2023).

    [9] Li X Y, Liu K, Zhou R et al. Laser-induced breakdown spectroscopy and its application[J]. Chinese Journal of Lasers, 49, 1202003(2022).

    [10] Yao M Y, Fu G R, Chen T B et al. A modified genetic algorithm optimized SVM for rapid classification of tea leaves using laser-induced breakdown spectroscopy[J]. Journal of Analytical Atomic Spectrometry, 36, 361-367(2021).

    [11] Rao G F, Huang L, He X W et al. Comparison of tea variety discriminating models based on laser induced breakdown spectroscopy[J]. Laser & Optoelectronics Progress, 55, 023002(2018).

    [12] Wang R, Ma X H, Zhang T Y et al. Study on tea classification based on provenance via random forests and laser induced breakdown spectroscopy[J]. Proceedings of SPIE, 12064, 1206402(2021).

    [13] Xu X J, Wang X S, Li A Z et al. Fast classification of tea varieties based on laser-induced breakdown spectroscopy[J]. Chinese Journal of Lasers, 46, 0311003(2019).

    [14] Hu X Y, Li C, Wei C L et al. 2021 China tea regional public brand value evaluation report[J]. China Tea, 43, 32-51(2021).

    [15] Li N, Tang S H, Lu M J et al. Effect of laser wavelength on laser-induced breakdown spectrum and evolution of cavitation bubble in bulk water[J]. Acta Optica Sinica, 42, 1801005(2022).

    [16] Martinez A M, Kak A C. PCA versus LDA[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23, 1801005(2001).

    [17] Cortes C, Vapnik V. Support-vector networks[J]. Machine Learning, 20, 273-297(1995).

    [18] Guo G D, Wang H, Bell D, Meersman R, Tari Z, Schmidt D C et al. KNN model-based approach in classification[M]. On the move to meaningful internet systems 2003: CoopIS, DOA, and ODBASE: OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2003, 986-996(2003).

    [19] Zhao Z F. Research and application of classification algorithm based on laser-induced breakdown spectrum[D](2021).

    [20] Lu X, Liu Y Z, Zhang Q H et al. Study on tea harvested in different seasons based on laser-induced breakdown spectroscopy[J]. Laser Physics Letters, 17, 015701(2020).

    [21] Zhao S Y, Song W R, Hou Z Y et al. Classification of ginseng according to plant species, geographical origin, and age using laser-induced breakdown spectroscopy and hyperspectral imaging[J]. Journal of Analytical Atomic Spectrometry, 36, 1704-1711(2021).

    Lei Tao, Guangyuan Cai, Zhandong Cheng, Lin Huang, Xiuwen He, Jiang Xu, Mingyin Yao. Using Laser Induced Breakdown Spectroscopy and Machine Learning to Identify Jiangxi Spring Tea Harvesting Periods[J]. Laser & Optoelectronics Progress, 2024, 61(9): 0930004
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