Survey on Diseases of Citrus Plant Leaves and Detection Methods

Authors

  • Rajeshwari Banni  Department of Information Science and Engineering SKSVMACET Laxmeshwar Karnataka, India
  • Pavana Baligar  Department of Information Science and Engineering SKSVMACET Laxmeshwar Karnataka, India
  • Arunkumar Joshi  Department of Information Science and Engineering SKSVMACET Laxmeshwar Karnataka, India
  • Nirosha H  Department of Information Science and Engineering SKSVMACET Laxmeshwar Karnataka, India

Keywords:

Citrus Fruit, Greasy Spot, Melanose

Abstract

The citrus industry is an important part of Florida’s agricultural economy. Citrus fruits, including oranges, grapefruit, tangelos, tangerines, limes, and other specialty fruits, are the state’s largest agricultural commodities. The economic impact of citrus industry on the overall economy of the state of is substantial. The citrus industry is also one of the leading producers of jobs for people in or state and thus has huge potential for the overall economic balance of the state. These facts prove beyond doubt the importance of the citrus industry in the state’s economy. As such, several important decisions regarding safe practices for the production and processing of citrus fruits have been made in the recent past. One of the main concerns is proper disease control.

References

  1. Peyman Moghadam, Daniel Ward, Ethan Goan has published a paper entitled “Plant Disease Detection Using Hyperspectral Imaging Digital Image Computing: Techniques and Applications (DICTA), 2017 International Conference on 29 Nov.-1 Dec. 2017.
  2. S. Arivazhagan, R. NewlinShebiah, S. Ananthi, S. Vishnu Varthini, “Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features”, CIGR, vol.15(1), pp. 211-217, March 2013.
  3. Sachin D Khirade and A B. Patil “Plant Disease Detection Using Image Processing.
  4. “International Conference on Computing Communication Control and Automation (ICCUBEA), 2015.
  5. E Borgoes,A P. Matosc C Correia “Early detection and monitoring of plant diseases by Bioelectric Impedance Spectroscopy”.
  6. Usama Mokhtar, Mona A. S. Alit, Aboul Ella Hassenian, Hesham Hefny has published a paper on “Tomato leaves diseases detection approach based on support vector machines” IEEE pp. 978-1-5090-0275-7/15, 2015.
  7. Vijai Singh,Varsha, A. K. Misra “Detection of unhealthy region of plant leaves using image processing and genetic algorithm.
  8. Martinelli, F., Scalenghe, R., Davino, S., Panno, S., Scuderi, G., Ruisi, P., Villa, P., Stroppiana, D., Boschetti, M., Goulart, L.R., Davis, C.E., Dandekar, A.M. (2014). Advanced methods of plant disease detection. A review. Agronomyfor Sustainable Development. 35: 1–25. doi:10.1007/s1359301402461.

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

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Published

2018-04-14

Issue

Volume 4, Issue 5, March-April-2018

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]
Rajeshwari Banni, Pavana Baligar, Arunkumar Joshi, Nirosha H, " Survey on Diseases of Citrus Plant Leaves and Detection Methods, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 5, pp.202-206, March-April-2018.