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Evaluation of Zebra Chip Using Image Analysis
American Journal of Potato Research ( IF 1.5 ) Pub Date : 2020-11-12 , DOI: 10.1007/s12230-020-09807-y
María Guadalupe Hernández-Deheza , Reyna Isabel Rojas-Martínez , Antonio Rivera-Peña , Emma Zavaleta-Mejía , Daniel Leobardo Ochoa-Martínez , José Alfredo Carrillo-Salazar

Candidatus Liberibacter solanacearum induced the disease known as zebra chip, manifested as an internal brown discoloration of potato tuber. This bacterium causes the vascular tissue of the tuber to turn brown, which shows up on potato chips after they have been fried, and which causes economic losses. There are no quantitative scales for determining the disease severity on potato chips and it is usually estimated using qualitative criteria. In this research, the percentage area and intensity of internal brown discoloration was quantitatively determined using two image segmentation methods of pixels: a single threshold of grayscale images and a classifier with artificial neural networks of color images. The one threshold method and the classifier with neural networks presented 98 and 99% of overall accuracy, respectively. The use of this method made it possible to distinguish cultivars that are resistant from those that are susceptible to Candidatus Liberibacter solanacearum.



中文翻译:

使用图像分析评估Zebra芯片

念珠菌属茄形酸杆菌介导的疾病称为斑马片,表现为马铃薯块茎内部的棕色变色。这种细菌会使块茎的维管组织变成棕色,炸成薯片后会出现在薯片上,这会造成经济损失。没有确定马铃薯片上疾病严重程度的定量标准,通常使用定性标准进行估算。在这项研究中,使用两种像素像素图像分割方法定量确定内部褐色变色的面积和强度:单一阈值灰度图像和带有人工神经网络彩色图像的分类器。一种阈值方法和带有神经网络的分类器分别提供了98%和99%的整体准确性。暂定Liberibacter菌。

更新日期:2020-11-12
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