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ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Advances in Machine Learning Techniques for Penaeid Shrimp Disease Detection: A Survey

( Volume 3 Issue 8,August 2016 ) OPEN ACCESS
Author(s):

P.Venkateswara Rao, Dr.A.Ramamohan Reddy, Dr.V.Sucharita

Abstract:

Shrimps are affecting with various diseases. In particular, white spot disease of the shrimp is a very dangerous disease which causes huge loss to Aqua Farmers. This disease affects more into species like penaeus monodon and penaeus Vennammei. There are many Computer vision techniques are there to identify white spot disease of a shrimp. This study helps in finding effective solution through various image processing and neural network techniques to identify the white spot disease of a shrimp which helps aqua farmers in effective decision making to prevent from virus to spread among other ponds thereby increasing shrimp yield.

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