JOURNAL ARTICLE

Detection of Strawberry Plant Disease Based on Leaf Spot Using Color Segmentation

Dwi Esti KusumandariMuhammad AdzkiaSanggam P. GultomMardi TurnipArjon Turnip

Year: 2019 Journal:   Journal of Physics Conference Series Vol: 1230 (1)Pages: 012092-012092   Publisher: IOP Publishing

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.

Keywords:
RGB color model HSL and HSV Segmentation Color space Image processing Image segmentation Artificial intelligence Computer vision Biology Botany Horticulture Computer science Image (mathematics)

Metrics

22
Cited By
1.49
FWCI (Field Weighted Citation Impact)
12
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Leaf Properties and Growth Measurement
Life Sciences →  Agricultural and Biological Sciences →  Plant Science
Smart Agriculture and AI
Life Sciences →  Agricultural and Biological Sciences →  Plant Science
Forest Ecology and Conservation
Life Sciences →  Agricultural and Biological Sciences →  Forestry

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