Plant Disease Detection using Image Processing Techniques

Authors

  • Chinmayee Sawant  Departments of Electronics and Telecommunication Engineering, Finolex Academy of Management and Technology, Ratnagiri, Maharashtra, India
  • Mithila Shirgaonkar  Departments of Electronics and Telecommunication Engineering, Finolex Academy of Management and Technology, Ratnagiri, Maharashtra, India
  • Sakshi Khule  Departments of Electronics and Telecommunication Engineering, Finolex Academy of Management and Technology, Ratnagiri, Maharashtra, India
  • Prajakta Jadhav  Departments of Electronics and Telecommunication Engineering, Finolex Academy of Management and Technology, Ratnagiri, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT206260

Keywords:

Image Processing, Feature Extraction. Convolutional Neural Network, Disease.

Abstract

The Indian economy is highly dependent on Agriculture productivity. Having diseases in plants are natural, so disease detection in plant plays an important role in agriculture field. If proper care is not taken, then it causes very serious effects on plants, so that respective product quality and product quantity is affected. Plant disease detection using automatic technique is very useful because it reduces a large work of monitoring in big farms. At very early stage itself it detects the symptoms of diseases when they appear on plant leaves. This project focuses on an approach based on image processing techniques to detect the disease of plants.

References

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

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Published

2020-04-30

Issue

Volume 6, Issue 2, March-April-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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

How to Cite

[1]
Chinmayee Sawant, Mithila Shirgaonkar, Sakshi Khule, Prajakta Jadhav, " Plant Disease Detection using Image Processing Techniques, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.295-300, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206260