Pubblicazione scientifica

Diagnosis of shrimp condition using intelligent technique

FILONE TECNOLOGICO	TEMA
produzione e raccolta

RIASSUNTO

The infection in shrimp is a significant issue which makes decline in production. In this manner, the investigation of premium is the region on shrimp infection happens. By utilizing proficient computer programming software to consequently distinguish the shrimp infection by separating features. Image processing systems are utilized for location and acknowledgment of illnesses in different zones which would be much useful in identifying the different infection on shrimp. Here we utilized KNN classifier to classify the shrimp condition as normal, medium, abnormal. The work is for the most part to characterize the infection in light of some features. which helps the farmers to think about the infected shrimps at a soonest and find a way to counteract and build up the creation of shrimp.

DATA

Data di pubblicazione: 01/04/2017

AUTORI

RP SURYA SANKAR
V JENITTA
B KANNAPIRAN
K VALARMATHI

ENTE DI AFFERENZA

DEPT INSTRUMENTATION & CTRL KALASALINGAM UNIV KRISHNANKOIL 626126 VIRUDHUNAGAR TAMILNADU INDIA

RIVISTA

2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE) (Page(s): 1-5)

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