机器学习草药植物识别系统综述

P. Kaur, Sukhdev Singh, Monika Pathak
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引用次数: 4

摘要

自古以来,草药就被用于保健。但由于现代生活方式和对对抗疗法药物的依赖,大多数人不了解其用法,难以识别草药植物。这些植物被广泛应用于研究领域,人们需要识别附近的有用/有益植物,以便在日常生活中利用它们来治疗疾病。显然,需要一种能够自动识别草本植物的机器。这些机器需要接受植物识别的训练。一些物理特征,如根、茎、叶的图案、颜色、叶的形状、花瓣的数量,被用来识别和识别植物。最突出的器官是叶片形状,因为它全年都有。因此,研究者认为叶片是方便准确识别植物的重要组成部分。本文主要研究利用机器学习的概念,通过叶片特征对植物进行识别,从而在特定的时间和条件下实现预期的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of Machine Learning Herbal Plant Recognition System
Since the ancient times herbal plants are being used for health wellness. But due to modern life style and dependences on allopathic medicine, the majority of the population is unaware about the usages and faced difficulty to identify the herbal plant. These plants are widely used in the area of research where recognition of useful/beneficial plants located in nearby locality becomes necessity of people, so they can take advantage in their daily life to cure diseases. It is apparent that there in need of machine which can automatically recognize the herbal plant. Such machines need to be training for plant recognition. Several physical features like roots, stem, leaf pattern, color, shape of leaf, number of petals are used to recognize and identify plants. Most prominent organ is the leaf shape as it is available throughout the year. Therefore, researchers considered leaf as an important part to recognized plant easily and accurately. In this paper main focus on plant recognition through leaf features using machine learning concepts so to achieve the desired goal on time and in specific conditions.
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