IDENTIFIKASI TANAMAN OBAT HERBAL BERBASIS CITRA

Authors

  • Mina Ismu Rahayu
  • Rahmat Jaenal

DOI:

https://doi.org/10.58761/jurtikstmikbandung.v12i2.190

Keywords:

Convolutional Neural Network (CNN), Aplikasi Citra Digital , Identifikasi Tanaman Oba

Abstract

The Image-Based Herbal Plant Identification System or DETAMO is an application developed to assist the public in identifying medicinal plant species. The method involves teaching about herbal plants using image processing technology, employing Convolutional Neural Network (CNN) architecture. The acquired learning serves as the basis for mobile-based plant identification. Research findings demonstrate sufficient accuracy in recognizing various types of medicinal plants and provide alternative recipes for utilizing these herbal plants. The proposed system also manages variations in images caused by differences in lighting, position, and plant growth conditions

Keywords : Medicinal Plant Identification, Digital Image Application, Convolutional Neural Network (CNN), Machine Learning Application.

Published

2023-12-01

How to Cite

Rahayu, M. I., & Jaenal, R. (2023). IDENTIFIKASI TANAMAN OBAT HERBAL BERBASIS CITRA. Jurnal Teknologi Informasi Dan Komunikasi, 12(2), 57–63. https://doi.org/10.58761/jurtikstmikbandung.v12i2.190

Most read articles by the same author(s)

1 2 3 > >>