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Nondestructive Detection of Pesticide Residue on Longan Surface Based on Near Infrared Spectroscopy

机译:基于近红外光谱的龙眼表面农药残留的无损检测

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In this research, nondestructive detection of a slathered pesticides trichlorfon on longan surface based on near infrared spectroscopy was studied. Firstly, principal component analysis (PCA) was applied to analyze the spectra data within the wavelength range from 500nm to 1000nm. Satisfied results were achieved from clustering based on the scores of PC1 and PC2. Then a BP artificial neural network (ANN) was built to detect the pesticide residue with the scores of PC1 and PC2 as inputs. The results indicated that the ratio of correct detection was 93%. This study may provide a novel way for fast and nondestructive fruit surface pesticide residue detection.
机译:在这项研究中,研究了基于近红外光谱技术无损检测龙眼表面上的sl虫农药敌百虫。首先,应用主成分分析法(PCA)分析500nm至1000nm波长范围内的光谱数据。根据PC1和PC2的分数,通过聚类获得了满意的结果。然后建立了一个BP人工神经网络(ANN),以PC1和PC2的分数作为输入来检测农药残留。结果表明正确检测率为93%。这项研究可能为快速和非破坏性的水果表面农药残留检测提供一种新颖的方法。

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