Survey Paper on Plant Leaf Identification System

Authors

  • Jignesh B. Jethva  Electronics and Communication Department, Madhav University, Abu Road, Pindwara, Dist. Sirohi, Bharja, Rajasthan, India
  • Dr. C. R. Singla  Electronics and Communication Department, Madhav University, Abu Road, Pindwara, Dist. Sirohi, Bharja, Rajasthan, India

Keywords:

Random Forest, Zernike Moment, Gabor Filters, GLCM.

Abstract

Imagine someone hiking in the Swiss mountains, where he finds a weird leaf or flower. This person has always been bad in biology but would like to know more about that plant. What’s its name? Its main features? Is it rare? Is it protected? Etc. By simply taking a picture of the leaf with a Digital Camera, he or she could feed it to the database in his computer and then get all the information regarding the leaf image through an automatic leaf recognition application. Even today, identification and classification of unknown plant species are performed manually by expert personnel who are very few in number. The important aspect is to develop a system which classifies the plants. The general approach consists of three phases that are pre-processing, feature extraction, and classification phases. Since most types of plants have unique leaves. Leaves are different from each other by characteristics such as the shape, color, texture and the margin.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-10

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jignesh B. Jethva, Dr. C. R. Singla, " Survey Paper on Plant Leaf Identification System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.519-528, March-April-2018.