Observation on Therapeutic Plant Identification based on Deep Learning Technique
A.Pravin1, C. Deepa2

1A. Pravin, Research Scholar in Computer Science, Sri Ramakrishna College of Arts and Science (Formerly SNR Sons College), Coimbatore, India.
2Dr. C. Deepa, Associate Professor in Information Technology, Sri Ramakrishna College of Arts and Science (Formerly SNR Sons College), Coimbatore, India.

Manuscript received on 25 August 2019. | Revised Manuscript received on 06 September 2019. | Manuscript published on 30 September 2019. | PP: 1471-1475 | Volume-8 Issue-11, September 2019. | Retrieval Number: J98080881019/2019©BEIESP | DOI: 10.35940/ijitee.J9808.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Plants have been used for medicinal purposes long before recorded history. It plays a major role in medicines, food, perfumes and cosmetics industries. By knowing the herbal plants and its usage it can be used for above applications. In this digital era, people don’t have adequate knowledge to identify various herbal plants which are used by our ancestors for long time. Presently, the identification of herbal plants is purely based on the human perception or knowledge. There may be probability of human error occurring. In order to have an efficient herb species classification, there must be a complete model which should be automatic and convenient recognition system. This paper is reviewing the different leaf classification methodologies based on deep learning algorithms. The main aim of this research paper is to conclude the advanced technique for the leaf identification.
Keywords: Leaf identification, machine learning, deep learning algorithm, herbal plants, Plant recognition system.
Scope of the Article: