Computer vision-based system for tracking and monitoring aquatic animals

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Published: 2026-05-25
DOI: https://doi.org/10.70102/jfzpwc75
Keywords:
Aquatic animals, Wireless sensor networks, Internet of things

Main Article Content

Dr. Albert Mayan J
Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India.
Dr. Praveen Priyaranjan Nayak
Associate Professor, Department of Electronics and Communication Engineering, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.
Dr. Ganesh D
Professor, Department of CS & IT, Jain (Deemed-to-be University), Bangalore, Karnataka, India.
Dr. Trapty Agarwal
Associate Professor, Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Uttar Pradesh, India.
Nittin Sharma
Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India.
Gujjala Srinath
Centre for Multidisciplinary Research, Anurag University, Hyderabad, Telangana, India.
Dr. Naresh Kaushik
Assistant Professor, uGDX, ATLAS SkillTech University, Mumbai, Maharashtra, India.

Abstract

To monitor and manage the health status of domestic, pet, and aquatic animals, the Indian government has expanded the use of Internet of Things (IoT) and Wireless Sensor Networks (WSN) for livestock through digitisation, national start-up organisations, and programs promoting technological breakthroughs. Aquatic animal owners and farmers may now easily track and monitor the health of their animals thanks to the advent of Internet of Things (IoT) technologies and intelligent systems that use wireless technology and real-time sensors. By incorporating IoT into current systems or creating IoT systems with WSN that are safe for newborn and young aquatic animals, the full process of remotely monitoring the health of these domestic aquatic creatures can be accomplished. With the use of Internet of Things (IoT) technology, which is extensively used in many electronic products, it is possible to remotely track the location, health, and other pertinent behaviours of domestic, farm, and wild aquatic animals. The Internet of Things (IoT) and its collaborative technologies, such as Wireless Sensor Network, Artificial Intelligence, Data Analytics, and Automation, will enable owners and carers of aquatic creatures and gadgets to interact with anything, anywhere, at any time. The lifespan of such sensor nodes is determined by their power supply and energy consumption, which are frequently controlled by the communication subsystem. The suggested framework needs to concentrate more on maximising the data transmission rate using a variety of packet handling techniques.

Article Details

Issue

Volume 5, Issue 1 (January-June), 2025

Section

Articles

How to Cite

Computer vision-based system for tracking and monitoring aquatic animals (D. A. M. J, D. P. P. Nayak, D. G. D, D. T. Agarwal, N. Sharma, G. Srinath, & D. N. Kaushik, Trans.). (2026). International Journal of Aquatic Research and Environmental Studies, 5(1), 23-29. https://doi.org/10.70102/jfzpwc75

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