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Early detection of cobweb disease infection on Agaricus bisporus sporocarps using hyperspectral imaging

机译:高光谱成像技术在双孢蘑菇孢子果上早期发现蜘蛛网疾病感染

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摘要

From the nineteen-nineties, cobweb disease caused serious losses for the mushroom sector in Europe, in the USA, and in Australia ( & , 2008), so it is one of the most notable fungal infections of cultivated white button mushroom (Agaricus bisporus). The aim of this study was to identify cobweb disease (Cladobortyum dendroides) caused cap spotting and brownish rot on the mushroom sporocarp, and to find a proper discrimination method in the case of this infection.Fruiting body samples were divided into 4 groups, a control one and three others treated with different chemicals that are tested against fungal infections. The groups were subdivided into 2 portions and the first was infected with cobweb disease. Images of the caps were recorded and their hyperspectral images were acquired in the wavelength range of 900–1700 nm.On the hyperspectral images infected and healthy areas were selected, on these average spectra differences were found around the known water peaks (1200 and 1450 nm). The spatial distribution of the water content can be used for the detection of the spoilage, because the infected areas showed different reflection values at these water absorption peaks.Support Vector Machine method was applied successfully to discriminate between the infected and control groups and Monte Carlo cross-validation was carried out.
机译:从十九世纪九十年代开始,蜘蛛网疾病在欧洲,美国和澳大利亚的蘑菇部门造成了严重损失(&,2008年),因此它是栽培的白色纽扣蘑菇(双孢蘑菇)最著名的真菌感染之一。 。这项研究的目的是鉴定引起蘑菇孢子果上的帽斑和褐腐病的蜘蛛网病(Cladobortyum dendroides),并为这种感染找到合适的鉴别方法。将果体样品分为4组,对照组另一种和三种用不同的化学物质处理过,这些化学物质经过了真菌感染测试。将这些组分为两部分,第一部分感染了蜘蛛网疾病。记录帽的图像,并在900-1700 nm的波长范围内获取其高光谱图像。在被感染和健康区域的高光谱图像上,在已知水峰(1200和1450 nm)附近发现这些平均光谱差异)。含水量的空间分布可用于检测变质,因为感染区域在这些吸水峰处显示不同的反射值。支持向量机方法成功地用于区分感染组和对照组以及蒙特卡洛杂交-进行验证。

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