Plant Leaf Diseases Detection and Classification Using Image Processing and Deep Learning Techniques

Authors

  • Shanta Patil  B.E. Student, Final Year B.E, Department of Computer Science, VTU/Secab Institute of Engineering and Technology/ Vijayapura, Karnataka, India
  • S R Vinay  B.E. Student, Final Year B.E, Department of Computer Science, VTU/Secab Institute of Engineering and Technology/ Vijayapura, Karnataka, India
  • Kartik Kulkarni  B.E. Student, Final Year B.E, Department of Computer Science, VTU/Secab Institute of Engineering and Technology/ Vijayapura, Karnataka, India
  • Mehboobi Mulla  B.E. Student, Final Year B.E, Department of Computer Science, VTU/Secab Institute of Engineering and Technology/ Vijayapura, Karnataka, India
  • Amruta Naveen  Professor, Final Year B.E, Department of Computer Science, VTU/Secab Institute of Engineering and Technology/ Vijayapura, Karnataka, India
  • Sahana Beelagi  Professor, Final Year B.E, Department of Computer Science, VTU/Secab Institute of Engineering and Technology/ Vijayapura, Karnataka, India

Keywords:

plant disease detection, classification of diseases, image processing, Deep learning,disease of plant leaf

Abstract

Plant diseases affect the growth of their respective species, therefore their early identification is veryimportant. Many Machine Learning (ML) models have been employed for the detection and classification of plant diseases but, after the advancements in a subset of ML, that is, Deep Learning (DL), this area of research appears to have great potential in terms of increased accuracy. Many developed/modified DL architectures are implemented along with several visualization techniques todetect and classify the symptoms of plant diseases. Moreover, several performance metrics are used for the evaluation of these architectures/techniques. This review provides a comprehensive explanation of DL models used to visualize various plant diseases. In addition, some research gaps are identified from which to obtain greater transparency for detecting diseases in plants, even beforetheir symptoms appear clearly.

References

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

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Published

2021-08-26

Issue

Volume 8, Issue 5, September-October-2021

Section

Research Articles

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

How to Cite

[1]
Shanta Patil, S R Vinay, Kartik Kulkarni, Mehboobi Mulla, Amruta Naveen, Sahana Beelagi, " Plant Leaf Diseases Detection and Classification Using Image Processing and Deep Learning Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 5, pp.27-34, September-October-2021.