Determination of Leaf Degradation Percentage for Banana leaves with Panama Disease Using Image Segmentation of Color Spaces and OpenCV

Nionel C. Ibarra, Matthew P. Rivera, C. O. Manlises
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引用次数: 1

Abstract

Bananas have consistently been the Philippines' third most-sold crop throughout each quarter from the beginning of 2018 until the first quarter of 2020. Banana is a top-traded fruit worldwide. The Philippines is a major banana exporter and producer of the Cavendish variety, the primary variant exported to other countries. Numerous diseases have affected the banana trade, but the disease that has significantly impacted the export trade in the Philippines is the Fusarium oxysporum, Panama Tropical Race 4, and Panama Wilt, more commonly known as the Panama Disease. This paper's primary goal is to obtain the leaf degradation percentage with image segmentation of color spaces while utilizing OpenCV. The t-Statistic had a value of 0.34 and a t-Critical of 2.082. The t-Statistic has a lower value than the t-Critical, meaning that the null hypothesis that the method for determining the presence of Panama Disease is on par with field surveying and testing methods regarding leaf degradation should not be rejected.
基于颜色空间图像分割和OpenCV的巴拿马病香蕉叶片降解率测定
从2018年初到2020年第一季度,香蕉一直是菲律宾第三大最畅销作物。香蕉是世界上交易最多的水果。菲律宾是一个主要的香蕉出口国和卡文迪什品种的生产国,卡文迪什品种是出口到其他国家的主要品种。许多疾病影响了香蕉贸易,但严重影响菲律宾出口贸易的疾病是尖孢镰刀菌,巴拿马热带4型和巴拿马枯萎病,通常被称为巴拿马病。本文的主要目标是利用OpenCV对颜色空间进行图像分割,获得叶片退化率。t统计量为0.34,t临界值为2.082。t统计值比t临界值低,这意味着不应拒绝原假设,即确定巴拿马病存在的方法与关于叶片退化的实地调查和测试方法相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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