Rapid identification of rice species by laser-induced breakdown spectroscopy combined with pattern recognition

Luo Ziyi; Zhang Linying; Chen Tianbing; Liu Muhua; Chen Jinyin; Zhou Huamao; Yao Mingyin

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Rapid identification of rice species by laser-induced breakdown spectroscopy combined with pattern recognition

机译：激光诱导的击穿光谱与模式识别快速鉴定水稻种类

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Laser-induced breakdown spectroscopy (LIBS) combined with pattern recognition was proposed to discriminate rice species. LIBS spectra in the range of 210-480 urn wavelength from 11 different rice species were collected and preprocessed. Principal component analysis was applied to extract the characteristic variables from LIBS spectral data. Three pattern recognition methods, discriminant analysis, radial basis function neural network, and multi-layer perceptron neural network (MLP) were performed to compare the precision in identifying rice species. The results showed that the performance of the MLP model was better. The average identification rate of rice species reached 100% and 97.9% in the training and test sets, respectively, with MLP. The highest and lowest percentages for correct identification were 100% for early indica rice, Huai rice 5, Yan japonica 6, Lian japonica 8, Xuhan 1, Lvhan 1, Sheng rice 16, Yang japonica 687, and Fenghan 30, and 77.8% for Wuyu japonica rice in test sets. The overall results demonstrate that LIBS combined with MLP could be utilized to rapidly discriminate rice species. (C) 2019 Optical Society of America

机译：提出了激光诱导的击穿光谱（Libs）与模式识别相结合以辨别水稻物种。收集来自11种不同水稻物种的210-480瓮波长范围内的Libs光谱并预处理。应用主成分分析来提取来自Libs光谱数据的特征变量。进行三种模式识别方法，判别分析，径向基函数神经网络和多层的感知神经网络（MLP）以比较鉴定水稻种类的精度。结果表明，MLP模型的性能更好。培训和试验集分别达到稻米物种的平均鉴定率为100％和97.9％，MLP分别达到97.9％。正确鉴定的最高和最低百分比为早期籼稻，淮米5，延粳6，连粳8，徐汉1，吕山1，盛粳687岁，凤兰30分，77.8％五裕粳稻试验店。总体结果表明，与MLP联合的LIB可用于快速区分水稻物种。（c）2019年光学学会

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《Applied optics》 |2019年第7期|共8页
作者
Luo Ziyi; Zhang Linying; Chen Tianbing; Liu Muhua; Chen Jinyin; Zhou Huamao; Yao Mingyin;
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Jiangxi Agr Univ Coll Engn Nanchang 330045 Jiangxi Peoples R China;

Jiangxi Agr Univ Coll Engn Nanchang 330045 Jiangxi Peoples R China;

Jiangxi Agr Univ Coll Engn Nanchang 330045 Jiangxi Peoples R China;

Jiangxi Agr Univ Coll Engn Nanchang 330045 Jiangxi Peoples R China;

Collaborat Innovat Ctr Postharvest Key Technol &

Nanchang 330045 Jiangxi Peoples R China;

Jiangxi Agr Univ Coll Engn Nanchang 330045 Jiangxi Peoples R China;

Jiangxi Agr Univ Coll Engn Nanchang 330045 Jiangxi Peoples R China;

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Rapid identification of rice species by laser-induced breakdown spectroscopy combined with pattern recognition

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