基于图像的草药植物鉴定

M. Rahayu, Rahmat Jaenal, Muhammad Handy Risyandi
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引用次数: 1

摘要

基于图像的草药植物识别系统或 DETAMO 是为帮助公众识别药用植物物种而开发的应用程序。该方法采用卷积神经网络(CNN)架构,利用图像处理技术传授草药植物知识。所学知识是基于移动设备进行植物识别的基础。研究结果表明,在识别各类药用植物方面具有足够的准确性,并提供了利用这些草药植物的替代配方。该系统还能处理因光照、位置和植物生长条件不同而造成的图像变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IDENTIFIKASI TANAMAN OBAT HERBAL BERBASIS CITRA
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.
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