A Brief Review on Methods for Classification of Medical Plant Images

Abstract

Plants on earth play a significant role both in human and other lives. Plants have the greatest influence in the nature cycle. Plant identification in biology and farming is very demanding, as new plant discoveries and plant computerization are more well established. For a broad range of uses, including environmental conservation, plant resource assessment and education, automatic plant classification systems have to be implemented. The leaves are considered the way medicinal plants are characterized. The automated identification of plant species using photographic leaves is an interesting objective, as biodiversity decreases rapidly in the current mix and taxonomists lack properly trained. The identification of the right plant is the most critical step in the preparation of the medicine that is carried out manually. The identification of these plants is immediately relevant because of demand for mass production. The physical and mental health of human beings is crucial for medicines. For better care it is important to identify and classify medicinal plants. The lack of experts in this area makes it tedious that medicinal plants are properly identified and classified. A fully automated system is therefore highly desirable for medicinal plant classification. This article provides a brief survey of the various models for identifying medicinal plants by taking into account the form and texture of a plant leaf.