Convolutional Neural Network based methodology for Plant Leaf Classification

Authors

  • Dr. Archana Potnurwar  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Jyotsna Kale  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Chaitanya Ganvir  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Piyush Mahajan  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Arsh Motghare  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Ritik Dongre  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India

Keywords:

Convolutional Neural Network, Image Classification, Target Recognition

Abstract

A network model that is frequently used in image classification, target recognition, and other domains is known as a convolutional neural network (CNN). This type of neural network structure is considered to be particularly essential in the field of deep learning. In botany, the classification of leaves and the ability to recognise them is particularly significant for recognising new or rare species of trees. Plants are found in almost every part of nature, and their continued existence and development are crucial to the continued existence of all living organisms on earth. The study of the evolutionary law of plants, the preservation of plant species, and the expansion of agricultural practises can all benefit greatly from the identification of species by their leaves, as can the development of agriculture. It is possible to realise the automatic extraction of leaf image features, reduce tedious labour costs, and realise the use of artificial intelligence to classify leaves with the help of this paper, which uses a convolutional neural network in artificial intelligence to identify the leaves of several different kinds of trees that were collected by the Kunming Institute of Botany in Yunnan Province. This paper provides an auxiliary means of artificial intelligence for the study of botany through its contribution to the field of artificial intelligence.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

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How to Cite

[1]
Dr. Archana Potnurwar, Jyotsna Kale, Chaitanya Ganvir, Piyush Mahajan, Arsh Motghare, Ritik Dongre, " Convolutional Neural Network based methodology for Plant Leaf Classification, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.336-342, May-June-2022.