Detection of Strawberry Plant Disease Based on Leaf Spot Using Color Segmentation. (July 2019)

• Record Type: Journal Article
• Authors: Kusumandari, Dwi Esti; Adzkia, Muhammad; Gultom, Sanggam P.; Turnip, Mardi; Turnip, Arjon
• Is Part Of: Journal of physics. Volume 1230(2019)
• Publication Date: 2019-07
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1230/1/012092
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Strawberry plant is a fruit plants that have a high enough value. Strawberry fruit contains high amounts of fiber, vitamin C, folic acid, potassium and antioxidants. Cultivating strawberries is an easy task because strawberry plants are often affected by both micro-organisms, pests and bacteria. To reduce the spread of disease in strawberry plants, the initial introduction of strawberry disease will be carried out using digital image processing. Digital images of leaf are processed to determine the health status of the strawberry plant. The process carried out on digital images includes image improvement, color segmentation from RGB color space into HSV color space, regional segmentation to determine the area of deformed leaves and intact leaves. The image processing shows that 85% accuracy of detection is obtained.