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首页> 外文期刊>The Journal of the Indian Botanical Society >COMPUTER BASED TAXONOMY IN THE IDENTIFICATION OF ETHNO-MEDICINAL PLANTS OF SHAKUMBHARI DEVI OF SHIWALIK HILLS
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COMPUTER BASED TAXONOMY IN THE IDENTIFICATION OF ETHNO-MEDICINAL PLANTS OF SHAKUMBHARI DEVI OF SHIWALIK HILLS

机译：基于计算机的生物分类学在SHIWALIK HILL的Shandbharari DEVI的民族药用植物鉴定中

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摘要

Indigenous medicinal plants are important component of traditional knowledge. Monumental scriptures provide a unique source for several medicinal plants. Many medicinal plant species were used by the mankind since historic times for the treatment andprevention of diseases. Medicinal plant species were found to be used in fever, diarrhoea and dysentery. Roots, rhizomes, leaves and stem barks are mostly used in the form ofjuice, raw items, paste and decoction of plants. Due to thegreat medicinal importance , malpractices like adulterations of these medicinal plants and their parts have become common. The purpose of this study was to collect information about the interaction of various communities (Van Gujjars, Saints and Ojhas) of the area with plantwealth and develop a computer aided software technique for the correct, quick, easy and authentic identification of these medicinal plants and their parts. Plant recognition is an important and challenging task. Leaf recognition plays an important rolein plant recognition and its key issue lies in whether selected features are stable and have good ability to discriminate different kinds of leaves. From the view of plant leaf morphology (such as shape, and color), domainrelated visual features ofplantleaf are analyzed and extracted. On this basis, an approach for recognizing plant leaf using a software using Content Based Image Retrieval (CBIR) is developed and tested for the identification of the medicinal plants and their parts. The prototype system has been implemented. Results of the experiments prove the effectiveness and superiority of this method.
机译：土著药用植物是传统知识的重要组成部分。纪念性经文为几种药用植物提供了独特的来源。自历史以来，人类就使用了许多药用植物来治疗和预防疾病。发现药用植物物种可用于发烧，腹泻和痢疾。根，根茎，叶子和茎皮通常以果汁，原料，糊状物和植物的汤剂形式使用。由于药用的重要性，这些药用植物及其部位的掺假等弊端已经很普遍。这项研究的目的是收集有关该地区各个社区（Van Gujjars，Saints和Ojhas）与植物财富的相互作用的信息，并开发一种计算机辅助软件技术，以正确，快速，轻松和可靠地鉴定这些药用植物和植物。他们的部分。植物识别是一项重要且具有挑战性的任务。叶片识别在植物识别中起着重要作用，其关键问题在于选定的特征是否稳定并且具有区分不同种类叶片的良好能力。从植物叶片形态（例如形状和颜色）的角度，分析并提取了与叶相关的视觉特征。在此基础上，开发了一种使用基于内容的图像检索（CBIR）的软件来识别植物叶片的方法，并进行了测试，以鉴定药用植物及其部位。原型系统已实施。实验结果证明了该方法的有效性和优越性。

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