00
Days
00
Hrs
00
Min
00
Sec
Submit Your Paper

Utilization of Unmanned Aerial Vehicle for Monitoring and Surveillance of Aquaculture Farms: A Proposed Framework

Authors

Ram Eujohn J. Diamante

School of Graduate Studies AMA University Quezon City, Philippines (PH)

Article Information

DOI: 10.51583/IJLTEMAS.2025.140600050

Subject Category: Information Technology

Volume/Issue: 14/6 | Page No: 460-468

Publication Timeline

Submitted: 2025-07-10

Published: 2025-07-10

Abstract

Abstract— In this paper, unmanned aerial vehicles (UAVs) for monitoring and surveillance within aquaculture farms situated in Iloilo, Philippines are investigated. The principal aim is to create a framework that can provide guidance on how to use UAVs for effective monitoring, data collection, and regulatory control within the aquaculture sector under the supervision of – Department of Agriculture in the Municipality of Barotac and Dumangas, Iloilo. The study examines the performance of UAVs in real-time surveillance mapping as well as geotagging and geo- referencing that would help in observing fish behavior and environmental settings. The research assesses the precision of UAVs in executing these assignments and compares various models based on their effectiveness in monitoring perimeters environmental data collecting and following changes in fish behavior. Findings reveal that UAVs especially those with high detection precision levels and advanced mapping capabilities may be good tools for improving management practices on aquaculture farms. The paper suggests some ways we may adopt UAV technology within aquaculture emphasizing its potential to minimize operational costs while at the same time increasing productivity. With the help of these findings, it is possible to develop initial guidelines for UAV use in the aquaculture industry that will serve as a basis for a regulatory framework ensuring the sustainable and efficient functioning of aquaculture farms. This framework seeks to support local government initiatives in enhancing farm monitoring, protecting the environment and managing resources by using advanced UAV technology.

Keywords

aquaculture, data analytics, precision aquaculture, sustainable farming, Unmanned Aerial Vehicles (UAVs),

Downloads

References

1. Bhardwaj, R., Sharma, K., & Singh, A. (2020). Applications of unmanned aerial vehicles in agriculture. *Journal of Agricultural Engineering*, 57(4), 329-336. [Google Scholar] [Crossref]

2. Choi, Y., Kim, S., Lee, J., & Kim, M. (2019). Application of unmanned aerial vehicles (UAVs) for aquaculture. *Journal of Fisheries and Marine Sciences Education*, 31(5), 123-131. [Google Scholar] [Crossref]

3. Gonzales, J. M., Gacusan, R. L., & Panganiban, L. M. (2021). Unmanned aerial vehicle (UAV) monitoring and surveillance system for aquaculture farming in the Philippines. *Aquaculture Research and Development*, 12(3), 1-8. [Google Scholar] [Crossref]

4. Huang, Y., Wang, X., Zhang, X., & Wang, H. (2020). Review on applications of unmanned aerial vehicles (UAVs) in precision agriculture. *Journal of Agricultural Engineering*, 57(3), 197-211. [Google Scholar] [Crossref]

5. Liu, H., Liu, Y., Zhang, W., & Li, X. (2019). Application of unmanned aerial vehicle (UAV) in aquaculture. *Fisheries Science and Technology Information*, 46(4), 1-5. [Google Scholar] [Crossref]

6. Ou, X., Liu, Y., Li, X., & Luo, Y. (2020). Applications of unmanned aerial vehicles in forestry: A review. [Google Scholar] [Crossref]

7. *Journal of Forestry Research*, 31(2), 357-375. Spatial Information Sciences, XLIII-B1-2020, 451- 456. https://doi.org/10.5194/isprs-archives-xliii-b1- 2020-451-2020 [Google Scholar] [Crossref]

8. Xie, Y., Wang, L., Wang, H., & Zhang, J. (2021). Application of unmanned aerial vehicles (UAVs) for environmental monitoring: A review. *Environmental Monitoring and Assessment*, 193(4), 1-16. [Google Scholar] [Crossref]

9. Wang, X., F. Rottensteiner, and C. Heipke. 2019. ―Structure from Motion for Ordered and Unordered Image Sets Based on Random K-d Forests and Global Pose Estimation. ‖ ISPRS Journal of Photogrammetry and Remote Sensing 147: 19–41. doi: 10.1016/j.isprsjprs.2018.11.009. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles

© 2026 IJLTEMAS · RSIS International. All rights reserved. ISSN 2278-2540.