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首页> 外文期刊>Quality Assurance and Safety of Crops & Foods >Detection of fungal infection in pistachio kernel by long-wave near-infrared hyperspectral imaging technique
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Detection of fungal infection in pistachio kernel by long-wave near-infrared hyperspectral imaging technique

机译：阿月浑子内核中检测真菌感染通过长波近红外高光谱成像技术

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摘要

Hyperspectral imaging is a non-destructive technique with great capability to detect food defects and diseases. In this research, infection of pistachio kernels by two different isolates of Aspergillus flavus, KK11 and R5, was determined using long-wave near-infrared hyperspectral imaging. Seven fungal growing stages on pistachio kernels, for both isolates, were investigated. The features from the hypercubes of healthy and infected pistachios were extracted, selected and then used for classification by linear discriminant analysis and quadratic discriminant analysis (QDA) methods which were performed by 10-fold cross validation technique in MATLAB 2010a. The QDA model gave the highest classification accuracy for all classes (healthy and infected kernels by different fungi and at different stages). For classification of infection by different fungi at the last fungal growing stage, QDA had the accuracy of 91.7%. As KK11 is an aflatoxin-producing and R5 is a non-aflatoxin-producing fungus isolate, the importance of the technique to detect aflatoxin contamination in pistachio is significant.
机译：高光谱成像技术是一种非破坏性技术检测食品的能力缺陷和疾病。阿月浑子的由两种不同分离株的内核黄曲霉,KK11和R5,决心使用长波近红外高光谱成像。内核,对隔离,进行调查。超立方体的健康的特性感染了开心果提取,选择和然后由线性用于分类判别分析和二次判别(QDA)方法进行了分析在MATLAB 10倍交叉验证技术2010 a。所有类的分类精度(健康并通过不同的真菌和感染的内核不同的阶段)。由不同的真菌在最后真菌感染增长阶段,QDA有91.7%的准确性。KK11 aflatoxin-producing和R5non-aflatoxin-producing真菌隔离,技术检测黄曲霉毒素的重要性污染的开心果是显著的。

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