Drone Technology in Aquaculture: A Comparative Study for Fish Biomass Estimation Using Drone- Mounted Multispectral Imaging vs. Conventional Method

This study explores the reliability and efficiency of fish biomass estimation in aquaculture by comparing conventional methods with drone-mounted multispectral imaging. Biomass data were collected over 140 days at 10-day intervals, using a Seine net and weighing scale for the traditional approach, and a drone equipped with a multispectral camera for the Substitute method. A paired sample t-test revealed a significant difference between the two methods (t = 3.19, p = 0.0065), indicating that the drone approach provides more precise and reliable results. The drone-based system illustrated greater efficiency in capturing biomass data, particularly as the study advanced, highlighting its potential for enhancing accuracy in aquaculture management. These findings support the adoption of drone technology for more effective and sustainable fish biomass monitoring, offering valuable insights for improving effectiveness and resource management in precision aquaculture. Further validation is suggested to optimize this cutting edge approach.