Perfecting a Video Game with Game Metrics
Vol 18, No 2: April 2020

Feature extraction of Jabon (Anthocephalus sp) leaf disease using discrete wavelet transform

Felliks Feiters Tampinongkol (Bogor Agricultural University)
Yeni Herdiyeni (Bogor Agricultural University)
Elis Nina Herliyana (Bogor Agricultural University)



Article Info

Publish Date
01 Apr 2020

Abstract

Jabon (Anthocephalus cadamba (Roxb.) Miq) is one type of forest plants that have very rapid growth until the process of the harvest. One inhibitor is a disease that attacks the leaves in the form of spots and blight that can cause death during the growth process of this tree. The purpose of this process is to detect the object of diseases that attack the leaves of jabon at the time in the nursery. Images of affected jabon leaf disease segmented by reducing the RGB color cylinders to separate the disease object from the background. Reduced channel G-R provides information in the form of disease areas contained in the image of Jabon leaf. Furthermore, the characteristics of leaf disease can be detected well using DWT in the 3-level decomposition process with SVM classification results that can separate both classes of spots and blight by 84.672%.

Copyrights © 2020






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...