An Analytical Review on Plant Detection Methods based on Machine Learning

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:

Machine Learning, Artificial Intelligence, Leaf Detection, Deep Learning, Image Processing.

Abstract

A highly significant subject in the earth's ecology is that of plant identification, which is essential for the preservation of an environmentally friendly climate. Certain of the plants have considerable therapeutic benefits. Nowadays of locating a plant is not easy by examining at its physical qualities. This article presents an intellectual database of publications throughout the span of 2015–2020. It has been discovered that the newest generation of fully convolutional neural networks (CNNs) in the spatial field of image identification has achieved exceptional performance. In this study, strategies are explored the ideas of Machine learning and several leaf recognition algorithms.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-05-30

Issue

Volume 8, Issue 3, May-June-2022

Section

Research Articles

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

How to Cite

[1]
Dr. Archana Potnurwar, Jyotsna Kale, Chaitanya Ganvir, Piyush Mahajan, Arsh Motghare, Ritik Dongre, " An Analytical Review on Plant Detection Methods based on Machine Learning, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.67-72, May-June-2022.