Analysis of Leaf Features in Chili Plants Using Automated Color Equalization (ACE)

Sujito, Sujito (2018) Analysis of Leaf Features in Chili Plants Using Automated Color Equalization (ACE). International Journal of Engineering & Technology, 7 (2. 13).

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Abstract

Chili is a variety of crop groups that have promising business prospects. To obtain optimal agricultural yield, then the process of plant care and how to planting should be maximal. Constraints often experienced by farmers in the process of planting chili in Magelang re- gency of Indonesia is a disease of yellow leaves. Some diseases in plants can be identified using precision technology, one of them is by using an image or image-based technology. In previous studies, no one has analyzed using feature extraction using ACE as an analysis to detect plant disease in chili. In this study will extract features using Automated Color Equalization (ACE) which is then classified using SVM (Support Vector Machine) for disease identification based on its leaves. With this method, the accuracy of the extraction results in a combination of 80% texture features, color feature extraction, and a combination of 80% color feature texture

Item Type: Article
Subjects: 500 Sains Dan Matematika > 560 Paleontology Paleozoology
500 Sains Dan Matematika > 580 Botanical sciences
500 Sains Dan Matematika > 580 Botanical sciences > 581 Botany
600 Teknologi > 608 Invention and patents
Divisions: Fakultas Ilmu Tarbiyah dan Keguruan > Pendidikan Bahasa Inggris
Depositing User: dosen dosen
Date Deposited: 09 Apr 2019 00:39
Last Modified: 09 Apr 2019 00:39
URI: http://eprints.iain-surakarta.ac.id/id/eprint/4080

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