Smart Aquaculture: Enhancing Productivity and Welfare Through Advanced Monitoring Systems

Year : 2024 | Volume :14 | Issue : 02 | Page : 32-40
By

P. Arthi,

N. Mahesh,

H. Saipurusoth,

B. Janardhanam,

  1. Assistant Professor, Department of Electronics and Communication Engineering, GRT IET College of Engineering, Tiruttani District, Tamilnadu, India
  2. UG Scholars, Department of Electronics and Communication Engineering, GRT IET College of Engineering, Tiruttani District, Tamilnadu, India
  3. UG Scholars, Department of Electronics and Communication Engineering, GRT IET College of Engineering, Tiruttani District, Tamilnadu, India
  4. UG Scholars, Department of Electronics and Communication Engineering, GRT IET College of Engineering, Tiruttani District, Tamilnadu, India

Abstract

This paper introduces a sophisticated aquaculture-based fish tank monitoring system aimed at optimizing productivity and ensuring fish welfare. Water level adjustment to maintain ideal circumstances, turbidity detection to identify suspended particles, and continuous pH monitoring for water quality are the three critical activities that its core component, an Arduino Uno microcontroller, oversees coordinating. This improves real-time monitoring and management by setting off automated notifications via SMS and IoT website data transmission in reaction to high turbidity or abnormal pH levels. Two pump motors manage water levels by replenishing fluctuating levels and removing accumulated particles, while a servo motor enables precise fish feed dispensing at scheduled intervals to support healthy growth. Operators access and control system functions through an intuitive web interface, ensuring seamless management of environmental conditions essential for sustainable aquaculture practices and meeting global seafood demands

Keywords: Arduino Uno microcontroller, pH sensor, Water level sensor, fish feeding, Nutrition, IoT

[This article belongs to Journal of Energy, Environment & Carbon Credits(joeecc)]

How to cite this article: P. Arthi, N. Mahesh, H. Saipurusoth, B. Janardhanam. Smart Aquaculture: Enhancing Productivity and Welfare Through Advanced Monitoring Systems. Journal of Energy, Environment & Carbon Credits. 2024; 14(02):32-40.
How to cite this URL: P. Arthi, N. Mahesh, H. Saipurusoth, B. Janardhanam. Smart Aquaculture: Enhancing Productivity and Welfare Through Advanced Monitoring Systems. Journal of Energy, Environment & Carbon Credits. 2024; 14(02):32-40. Available from: https://journals.stmjournals.com/joeecc/article=2024/view=168096



Browse Figures

References

  1. Shen et al., “Estimating heart rate and detecting feeding events of fish using an implantable biologger,” in Proc. 19th ACM/IEEE Int. Conf. Inf. Process. Sensor Netw., 2020, pp. 37–48. Available At: https://ieeexplore.ieee.org/document/9110997
  2. P. Hughes et al., “Global warming transforms coral reef assemblages,” Nature, vol. 556, no. 7702, pp. 492–496, 2018. Available At: https://www.nature.com/articles/s41586-018-0041-2
  3. I. Unit, “The blue economy: Growth, opportunity and a sustainable ocean economy,” 2015. [Online]. Available At: https://www.greenpolicyplatform.org/research/blue-economy-growth-opportunity-and-sustainable-ocean-economy
  4. Alroy, “Current extinction rates of reptiles and amphibians,” Proc. Nat. Acad. Sci., vol. 112, pp. 13003–13008, 2015. Available At: https://www.pnas.org/doi/full/10.1073/pnas.1508681112
  5. Ceballos, P. R. Ehrlich, A. D. Barnosky, A. Garc´ıa, R. M. Pringle, and T. M. Palmer, “ Accelerated modern human–induced species losses: Entering. Available At: https://www.science.org/doi/10.1126/sciadv.1400253
  6. Wilson, M. Wikelski, R. Wilson, and S. Cooke, “Utility of biological sensor tags in animal conservation,” Conservation Biol., vol. 29, no. 4, pp. 1065–1075, 2015. Available At: https://conbio.onlinelibrary.wiley.com/doi/10.1111/cobi.12486
  7. Teja KB, Monika M, Chandravathi C, Kodali P. Smart monitoring system for pond management and automation in aquaculture. In2020 International Conference on Communication and Signal Processing (ICCSP) 2020 Jul 28 (pp. 204-208). IEEE.
  8. Karim S, Hussain I, Hussain A, Hassan K, Iqbal S. IoT based smart fish farming aquaculture monitoring system. International Journal on Emerging Technologies. 2021;12(2):45-53.
  9. Al-Mutairi AW, Al-Aubidy KM. IoT-based smart monitoring and management system for fish farming. Bulletin of Electrical Engineering and Informatics. 2023 Jun 1;12(3):1435-46.
  10. Preetham K, Mallikarjun BC, Umesha K, Mahesh FM, Neethan S. Aquaculture monitoring and control system: An IoT based approach. International Journal of Advance Research, Ideas and Innovations in Technology. 2019;5(2):1167-70.

Regular Issue Subscription Original Research
Volume 14
Issue 02
Received July 16, 2024
Accepted July 30, 2024
Published August 20, 2024

Check Our other Platform for Workshops in the field of AI, Biotechnology & Nanotechnology.
Check Out Platform for Webinars in the field of AI, Biotech. & Nanotech.