Identification of alfalfa varieties by terahertz wave based on GA-BP method

doi:10.3969/j.issn.1000-1565.2021.06.006

Abstract

Abstract: Based on the refractive index data of alfalfa species measured by the terahertz time domain spectroscopy(THz-TDS), the genetic algorithm optimized BP neural network(GA-BP)model was used to identificate alfalfa species. The results show that the average classification accuracy rate of 8 varieties is 94%, and the maxial classification accuracy rate of a single variety is 94.6%. A new method is provided for the classification and identification of alfalfa species, which provides important reference value for the identification of germplasm resources.

Key words: THz-TDS, GA-BP, alfalfa species, classification

CLC Number:

O433.4

WANG Fang, ZHANG Yu, ZHANG Chunhong, XIA Hongyan. Identification of alfalfa varieties by terahertz wave based on GA-BP method[J]. Journal of Hebei University(Natural Science Edition), 2021, 41(6): 666-671.

References

[1] IANNUCCI A, FONZO N D, MARTINIELLO P. Alfalfa(Medicago sativa L.)seed yield and quality under different forage management systems and irrigation treatments in a Mediterranean environment[J]. Field Crops Research, 2002, 78(1):65-74. DOI:10.1016/S0378-4290(02)00094-1.
[2] GRAHAM P H, VANCE C P. Legumes: importance and constraints to greater use[J]. Plant Physiology, 2003, 131(3):872-877. DOI:10.1104/pp.017004.
[3] 毛培胜, 王颖. 牧草种及品种鉴定技术的发展现状与应用前景[J]. 种子, 2004, 23(2): 41-44. DOI:10.3969/j.issn.1001-4705.2004.02.012.
[4] 朱连发, 李太强, 龙新发, 等. 牧草品种鉴定的常用方法[J]. 草业与畜牧, 2009(12): 29-31. DOI:10.3969/j.issn.1673-8403.2009.12.008.
[5] 焦婷, 李永青, 姚喜喜, 等. 六种常见牧草Matk基因DNA条形码研究[J]. 中兽医医药杂志, 2016, 35(1): 5-8. DOI:10.13823/j.cnki.jtcvm.2016.01.001.
[6] 刘敏轩, 王赟文, 阎建锋. 利用超薄层等电聚焦电泳技术对燕麦种子进行蛋白多态性和品种鉴定方法的研究[J]. 现代农业科技, 2006(6): 22-24. DOI:10.3969/j.issn.1007-5739.2006.06.015.
[7] 熊潮慧, 马啸. 利用分子标记鉴定草品种的方法探讨[J]. 畜牧与饲料科学, 2010, 31(02): 69-71. DOI:10.3969/j.issn.1672-5190.2010.02.025.
[8] 李慧, 吴静珠, 刘翠玲, 等. 基于LVQ和THz时域光谱的玉米品种分类鉴别研究[J]. 中国粮油学报, 2019, 34(02): 125-129. DOI:10.3969/j.issn.1003-0174.2019.02.021.
[9] 高雁. 大豆种子的THz时域光谱测量[J]. 山西大同大学学报(自然科学版), 2010, 26(3): 28-30. DOI:10.3969/j.issn.1674-0874.2010.03.010.
[10] 杨亚玲, 曾静, 李光林, 等. 杂交水稻种子太赫兹光谱特性研究[J]. 西南大学学报(自然科学版), 2017, 39(10): 165-170. DOI:10.13718/j.cnki.xdzk.2017.10.023.
[11] 王芳, 郭帅, 赵景峰, 等. 利用太赫兹时域光谱定性鉴别不同品种的苜蓿的研究[J]. 光谱学与光谱分析, 2018, 38(11): 3638. DOI:10.3964/j.issn.1000-0593(2018)11-3638-07.
[12] WANG F, WANG J N, XIA H Y, et al. The genetic and environmental impacts of alfalfa forages on the optical parameter in terahertz range[J]. J Infrared Millim Terahertz Waves, 2019, 40(3): 357-364. DOI:10.1007/s10762-019-0569-8.
[13] 周月, 孙霁, 杨四刚, 等. 基于机器学习的太赫兹光谱分析与识别[J]. 无线电工程, 2019, 49(12): 1031-1036. DOI:10.3969/j.issn.1003-3106.2019.12.002.
[14] 章龙, 李春, 李天莹, 等. 基于太赫兹时域光谱的牛黄及其易混品分类研究[J]. 激光与光电子学进展, 2020, 57(23): 233001. DOI::10.3788/LOP57.233001.
[15] HU JUN, XU ZHEN, LI MAOPENG, et al. Determination of melamine content in milk powder based on neural network algorithm and terahertz spectrum detection[J]. Laser & Optoelectronics Progress, 2020, 57(22): 223001. DOI: 10.3788/LOP57.223001.
[16] 王璞, 何明霞, 李萌, 等. 太赫兹光谱技术在生物活性肽检测中应用研究[J]. 光谱学与光谱分析, 2020, 40(9): 2696-2701. DOI:10.3964/j.issn.1000-0593(2020)09-2696-06.
[17] ZHANG Y, PENG X H, CHEN Y, et al. A first principle study of terahertz(THz)spectra of acephate[J]. Chemical Physics Letters, Elsevier, 2008, 452(1-3): 59-66. DOI:10.1016/j.cplett.2007.11.102.
[18] DUVILLARET L, GARET F, COUTAZ J L. A reliable method for extraction of material parameters in terahertz time-domain spectroscopy[J]. IEEE Journal of selected topics in quantum electronics, IEEE, 1996, 2(3): 739-746. DOI: 10.1109/2944.571775. (