Revolutionizing Aquaculture with AI: Real-Time Fish Disease Detection and Automated Medication Guidance

Authors

  • A. Harikrishna, Golla Tejaswini, Kandanagulla Poojitha, Malle Madhuri Thrisha, Challa Kamakshi

Keywords:

Automated Fish Health Monitoring, Fish Disease Classification, Intelligent Medicine Suggestion, Aquaculture Automation.

Abstract

Fish disease classification plays a vital role in the sustainability and productivity of seafood aquaculture,especially in India, where the sector contributes significantly to the national economy. Traditionally,disease detection has depended on manual inspection 

References

Mandal, Arghya, and Apurba Ratan Ghosh. "Role of artificial intelligence (AI) in fish growth and health status monitoring: A review on sustainable aquaculture." Aquaculture International 32, no. 3 (2024): 2791-2820.

Bohara, Kailash, Pabitra Joshi, Krishna Prasad Acharya, and Grace Ramena. "Emerging technologies revolutionising disease diagnosis and monitoring in aquatic animal health." Reviews in Aquaculture 16, no. 2 (2024): 836-854.

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Published

2025-04-15

How to Cite

A. Harikrishna, Golla Tejaswini, Kandanagulla Poojitha, Malle Madhuri Thrisha, Challa Kamakshi. (2025). Revolutionizing Aquaculture with AI: Real-Time Fish Disease Detection and Automated Medication Guidance . Journal of Computational Analysis and Applications (JoCAAA), 34(4), 1256–1266. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3121

Issue

Vol. 34 No. 4 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.