• Ms B THILLAI ESWARI
• Dr M S IRFAN AHMED

Abstract: Aquaculture plays a very vital role in the world economy. In our country, Tamil Nadu has the second longest coastal area . Agriculture and fishing provide the majority of people's livelihoods in Ramanathapuram district. Aquaculture has many activities, including chank farming , pearl farming, dry fish farming, shrimp farming, etc. Fish disease is one of the important factors affecting the rural economy. The fish disease is examined as the root cause of mass production and economic deprivation by fish farmers. Species disease detection and behaviour monitoring are the main tasks for human visualization. The objective of this study is to provide a comparative study of the classification algorithms to identify fish diseases. A more advanced system with more computing power can facilitate a deep learning approach. The features of the Epizootic Ulcerative Syndrome (EUS) in fish are extracted in this study.

Key words: Fish Disease, Classification algorithm, image processing, Deep Learning, R-CNN Algorithms

"FISH DISEASE IDENTIFICATION: COMPARISON OF CLASSIFICATION ALGORITHMS USING DEEP LEARNING METHODS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.a62-a67, August-2022, Available :http://www.jetir.org/papers/JETIR2208009.pdf

"FISH DISEASE IDENTIFICATION: COMPARISON OF CLASSIFICATION ALGORITHMS USING DEEP LEARNING METHODS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppa62-a67, August-2022, Available at : http://www.jetir.org/papers/JETIR2208009.pdf