Using the Support Vector Machine method with the HOG feature for classification of orchid types

Author:

Andayani Sri,Kusneti Leni

Abstract

Orchids are the most species-rich flowering plants, with approximately 750 genera and 43,000 types of orchids in the world, of which about 5,000 species have been recorded in several provinces in Indonesia. Orchids have beautiful flowers with attractive colors, making them ornamental plants that many people like. From plant morphology, orchid plants can be differentiated based on the morphology of flowers, leaves, fruit, stems, and roots. The leaves of orchid plants have their characteristics for each type of orchid, such as long, round, or lanceolate. All orchids have veins that run parallel to their leaves. The individual shapes of orchid leaves can be classified using a Support Vector Machine (SVM) and Histogram of Gradient (HOG). In this research, five types of orchids that are popular among orchid lovers were used, namely Dendrobium, Cattleya, Oncidium, Phalaenopsis, and Vanda orchids, which were taken from public data. The accuracy of this method in classifying orchid species based on leaf morphology can be measured using a confusion matrix that measures precision, recall, and accuracy. From five tests, the Oncidium orchid had the highest average accuracy with a value of 98%, the Vanda orchid had the highest average precision of 99.80%, and the Cattleya orchid had the highest average recall of 100%.

Publisher

Universitas Kristen Satya Wacana

Reference15 articles.

1. K. Pertanian, Anggrek Spesies Indonesia. Jakarta(ID: Direktorat Jenderal Hortikultura.

2. G. Yosvaldo and P. F. Dewi Ratih Kesuma, Keanekaragaman Anggrek Di Taman Anggrek Badak LNG. ITS Press. Surabaya.

3. G. Andari, Karakterisasi Planlet Anggrek Tanah (Spathoglottis plicata B1) Hasil InducedResistance dengan Asam Fusarat terhadap Fusarium oxysporum secara In Vitro”.[THESIS. Bandar Lampung (ID: Universitas Lampung.

4. D. Widiastoety, “Pengaruh Auksin dan Sitokinin Terhadap Pertumbuhan Plantlet Anggrek Mokara,” in Jurnal Hortikultura. Vol.24 No.3. ISSN, pp. 230–238.

5. D. M. Prayogo and G. K. Setyati Endang, “Pengenalan Jenis Bunga Anggrek Menggunakan Metode Color Local Binary Pattern dan Support Vector Machine,” J. INFRA, vol. 8, no. 1. e-ISSN, pp. 2528–5823.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3