基于高光谱成像技术和机器学习模型的破壁灵芝孢子粉化学成分无损检测及建模研究

Nondestructive Testing and Modeling of Chemical Composition of Sporoderm-broken Spores of Ganoderma Lucidum Based on Hyperspectral Imaging Technology and Machine Learning Model

关键词:  破壁灵芝孢子粉  高光谱成像  机器学习模型  无损检测  化学成分预测

Key words:  sporoderm-broken spores of Ganoderma lucidum  hyperspectral imaging  machine learning model  non-destructive testing  chemical composition prediction

摘要:

目的 研究基于高光谱成像技术结合机器学习模型对破壁灵芝孢子粉化学成分的无损检测方法。方法 通过采集来自不同产地的破壁灵芝孢子粉样本的高光谱数据,利用BP神经网络(BPNN)、极限学习机(ELM)和决策树(DT)模型对水分、多糖、三萜和麦角甾醇的含量进行预测分析。为了提高模型的预测精度,本研究采用遗传算法(GA)进行特征波长选择,并结合主成分分析(PCA)进行降维处理。结果 实验结果表明,基于GA-ELM和GA-DT模型的预测性能最佳,多个成分的预测决定系数(R2⁾均超过0.94,表现出优秀的预测能力。结论 本研究验证了高光谱成像技术结合机器学习方法对破壁灵芝孢子粉化学成分快速无损检测的可行性,并为破壁灵芝孢子粉的质量评价提供了新的思路和方法。

Abstract:

ABSTRACT OBJECTIVE In this paper, a non-destructive detection method of chemical composition of sporoderm-broken spores of Ganoderma lucidum based on hyperspectral imaging technology combined with machine learning model was studied. METHODS In this study, hyperspectral data of sporoderm-broken spores of Ganoderma lucidum samles from different origins were collected, and BP neural network (BPNN), extreme learning machine (ELM) and decision tree (DT) models were used to predict the contents of water, polysaccharides, triterpenoids and ergosterols. In order to improve the prediction accuracy of the model, genetic algorithm (GA) was used for feature wavelength selection, and principal component analysis (PCA) was used for dimensionality reduction. RESULTS The experimental results show that the prediction performance based on GA-ELM and GA-DT models is the best, and the prediction determination coefficient (R2) of multiple components is more than 0.94, showing excellent prediction ability. CONCLUSION This study verifies the feasibility of hyperspectral imaging combined with machine learning methods for rapid non-destructive detection of the chemical composition of sporoderm-broken spores of Ganoderma lucidum, and provides new ideas and methods for the quality evaluation of sporoderm-broken spores of Ganoderma lucidum.