利用深度学习识别药用植物群

R. Ganesh, S. Sivakumar, D. R, Harihara Sudhan M, H. M
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引用次数: 0

摘要

“药用植物”一词是指草药中使用的各种植物。它包括对植物的研究和用于治疗目的。早在史前时代之前,人们就将植物用于医疗目的。印度有着悠久的历史,是古代文明中蓬勃发展的草药宝库。印度的森林是各种草药的主要来源。本文拟通过对印度西高止山脉地区药用植物的叶片图片进行鉴定。采用卷积神经网络算法对药用植物叶片图像进行训练。用户可以拍摄植物叶片的照片,也可以上传保存的植物叶片照片。将上传的图片与训练好的模型进行比较,然后将植物的本地和生物名称作为输出显示在屏幕上。该植物的两个主要药用用途也被展示出来。为了方便用户获取有关该工厂的更多信息,在用途栏的底部还提供了参考链接。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Medicinal Flora using Deep Learning
The term “medicinal plant” refers to a variety of plants used in herbalism. It involves both the study of and use of plants for therapeutic purposes. Long before the prehistoric era, people employed plants for medical purposes. India has a long history of being a thriving storehouse for medicinal herbs among ancient civilizations. India’s forests are the main source of a variety of medicinal herbs. The proposed work identifies the medicinal flora species which are in Western Ghats region of India by the leaf picture of that plant. The leaf pictures of the medicinal plants are trained by a convolutional neural network algorithm. The user can take photo of the leaf of the plant or he can also upload the saved picture of the leaf of the plant. The uploaded picture is compared with the trained model then the local and biological name of the plant is displayed as output on the screen. Two main medicinal uses of the plant are also displayed. For the convenience of the user to get more information about the plant, the reference link also provided at the bottom of the uses’ column.
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