An Overview on Machine Learning Techniques for Identification of Diseases in Aquaculture-Reference-Cited by-同舟云学术

An Overview on Machine Learning Techniques for Identification of Diseases in Aquaculture

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference for Emerging Technology (INCET)
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Author:

GR Rakesh¹,Raghavendra C.G.¹,Rohit S¹,Shetty Prathvin R¹,M.P Shreeshma Hegde¹

Affiliation:

1. Ramaiah Institute of Technology,Dept. of ECE,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169136/10169900/10170241.pdf?arnumber=10170241

Reference18 articles.

1. AI Based Farm Fish Disease Detection System to Help Micro and Small Fish Farmers;sreekanth;IEEE Interdisciplinary Research in Technology and Management (IRTM),2022

2. Feasibility Study of Fish Disease Detection using Computer Vision and Deep Convolutional Neural Network (DCNN) Algorithm;husin;IEEE International Colloquium on Signal Processing and Applications (CSPA,2022

3. Image processing technique to detect fish disease;chakravorty;International Journal of Computer Science and Security (IJCSS),2015

4. Fish diseases identification and classification using Machine Learning;divinely;International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST),2019

5. Underwater image enhancement: a comprehensive review, recent trends, challenges and applications

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1. Enhancing Fish Disease Detection: A Comprehensive Review for Sustainable Aquaculture;2023 6th International Conference on Advances in Science and Technology (ICAST);2023-12-08