Author:
Kusumandari Dwi Esti,Adzkia Muhammad,Gultom Sanggam P.,Turnip Mardi,Turnip Arjon
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.
Subject
General Physics and Astronomy
Reference17 articles.
1. Aktivitas Antioksidan dan Tabir Surya Ekstrak Etanol Daun Stroberi;Widyastuti;Buki Tinngi: Jurnal Sains Farmasi dan Klinis,2016
2. Strawberry New York (US);Hancock,1999
3. Recors of Fungi Parasitic on Plants In New Zealand 1966-68;Dingley;New Zealand Journal of Agricultural Research,2012
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. IoT-based Crop Monitoring and Disease Detection;2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI);2023-12-09
2. Spectral signature of leaf spot (Mycosphaerella fragariae (Tul.)) in strawberry plants (Fragaria x ananassa Duch) related to NDVI and NDRE index;INGE CUC;2023-05-08
3. IoT Detection System for Mildew Disease in Roses Using Neural Networks and Image Analysis;International Journal of Interactive Multimedia and Artificial Intelligence;2023
4. Detection of Bell Pepper Crop Diseases Using Convolution Neural Network;2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS);2022-10-10
5. Bell Pepper Crop Disease Detection Using Convolution Neural Network;2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA);2022-09-08