Applying Artificial Intelligence (AI) Techniques to Implement a Practical Smart Cage Aquaculture Management System

Abstract

Purpose This paper presents our team’s results to establish an AIoT smart cage culture management system. Methods According to the built system, the farmed field information is transmitted to the data platform of Ocean Cloud, and all collected data and analysis results can be applied to the cage culture field after the bigdata analysis. Results This management system successfully integrates AI and IoT technologies and is applied in cage culture. Using underwater biological analysis images and AI feeding as examples, this paper explains how the system integrates AI and IoT into a feasible framework that can constantly acquire information about the health status of fish, survival rate of fish, as well as the feed residuals. Conclusion The results of our research enable the aquaculture operators or owners to efficiently reduce the feed residual, monitor the growth of fish, and increase fish survival rate, thereby increasing the feed conversion rate.

AI ethics: the case for including animals

“…18 Machine learning models can be created to see how physical parameters relate to disease rate, mortality rate [24], and growth rate. 19 They can then prescribe treatments for diseases, 20 extra feed [25], or killing, 21 and in some cases, they can directly use their connected physical components to act on the animals, emitting sounds to interact with animals, giving animals electric shocks (for example when the grazing animal reaches the boundary of the desired area), 22 clipping marks on the animals' bodies, 23 and catching and separating animals. 24 Given the potential of these AI systems to reduce the production costs of factory farming, and the apparent acceleration of the number of start-ups rushing into this developing field, 25 it seems likely that within a decade or two they could become increasingly popular, perhaps becoming standard in the factory farming industry.…”

“…com/ watch?v= JsGPw jEIeio. 25 These are some examples of the start-up or incubators for factory farm AI.…”

Implementation of Artificial Intelligence in Aquaculture and Fisheries: Deep Learning, Machine Vision, Big Data, Internet of Things, Robots and Beyond

“…The latest example of intelligent cage aquaculture was designed by Chang et al (2021) based in Taiwan (Figure 2). The ocean fish were cultivated inside an AIoT smart cage immersed under the sea, equipped with underwater camera, integrated sensors as well as a communication system.…”

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

“…Today, drones have been successful in collecting environmental data and fish behavior at the aquaculture site for monitoring [47]. In the work of Ubina et al [30], an autonomous drone performs visual surveillance to monitor fish feeding activities, detect nets, moorings, cages, and detect suspicious objects (e.g., people, ships).…”

“…The enormous amount of data collected from the underwater environment using sensors provides a non-invasive and non-intrusive method. This approach can achieve realtime image analysis for aquaculture operators [47]. Different data can be collected from the aquaculture site using these sensors to monitor the behavior of fish and the water quality of the aquaculture farm.…”