Medicinal Plant Identification Using Machine Learning Techniques: Automatic Recognition of Medicinal Plants

Medicinal Plant Identification Using Machine Learning Techniques: Automatic Recognition of Medicinal Plants

Udaya C. S., Usharani M.
DOI: 10.4018/978-1-7998-7685-4.ch008
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Abstract

In this world there are thousands of plant species available, and plants have medicinal values. Medicinal plants play a very active role in healthcare traditions. Ayurveda is one of the oldest systems of medicinal science that is used even today. So proper identification of the medicinal plants has major benefits for not only manufacturing medicines but also for forest department peoples, life scientists, physicians, medication laboratories, government, and the public. The manual method is good for identifying plants easily, but is usually done by the skilled practitioners who have achieved expertise in this field. However, it is time consuming. There may be chances to misidentification, which leads to certain side effects and may lead to serious problems. This chapter focuses on creation of image dataset by using a mobile-based tool for image acquisition, which helps to capture the structured images, and reduces the effort of data cleaning. This chapter also suggests that by ANN, CNN, or PNN classifier, the classification can be done accurately.
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Proposed Work

In this paper we proposed two methods for identify Medicinal plants. One is Automatic Recognition of Medicinal Plants and the other is Image processing of leaf images.

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