Determination of Leaf Degradation Percentage for Banana leaves with Panama Disease Using Image Segmentation of Color Spaces and OpenCV
巴拿马
作物
园艺
地理
数学
生物
统计
农学
作者
Nionel C. Ibarra,Matthew P. Rivera,Cyrel O. Manlises
标识
DOI:10.1109/iccae56788.2023.10111455
摘要
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.