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Application of Artificial Intelligence (AI) in Aquaculture: A Review

Authors

  • Divyanshu Kumar Upadhyay Govind Ballabh Pant University of Agriculture & Technology, College of Fisheries Pantnagar, Department of Aquaculture Author
  • Avdhesh Kumar Department of Aquaculture, College of Fisheries Pantnagar, Govind Ballabh Pant University of Agriculture & Technology Author
  • Priyanka Rani Department of Aquaculture, College of Fisheries Pantnagar, Govind Ballabh Pant University of Agriculture & Technology Author
  • Tarang Kumar Shah Department of Fisheries, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalya. Author

DOI:

https://doi.org/10.65385/JFZS0004

Keywords:

Artificial Intelligence , Biomass , Disease , Diagnosis , Feed

Abstract

Over the past 20 years, AI technology has rapidly advanced in various fields, including aquaculture. Artificial intelligence is being tested and implemented in aquaculture to enhance feeding efficiency, estimate biomass, track growth, diagnose diseases early, and monitor and manage environmental conditions—especially in recirculating aquaculture systems (RAS). These advancements in sensor and processing technologies enable many repetitive tasks in modern aquaculture to be performed with reduced labour and improved animal welfare. This review explores the potential applications of AI in aquaculture practices, aiming to increase production while minimizing disease and environmental losses. AI contributes to several areas, including disease management, feeding, water quality management, genetics and breeding, and the conservation of endangered species.

Author Biographies

  • Avdhesh Kumar, Department of Aquaculture, College of Fisheries Pantnagar, Govind Ballabh Pant University of Agriculture & Technology

    Professor & Head

  • Tarang Kumar Shah, Department of Fisheries, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalya.

    Assistant Professor

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Published

14-03-2026

Versions

Issue

Vol. 1 No. 02 (2026): April-June

Section

Review Articles