Robots and the Future of Finfish Farming and Fish Hatcheries

Overview The realm of finfish farming and fish hatcheries is experiencing a significant transformation with the introduction of robotic technology. This development is expected to shape the future of the fisheries industry by improving efficiency, reducing costs, and enhancing sustainability. At present, the global aquaculture market stands at a staggering $176.6 billion and is projected to reach $219.4 billion by 2026. By leveraging robots and Artificial Intelligence (AI), operators can address the pressing challenges they face, such as maintaining fish health, monitoring water quality, and reducing fish mortality.

Robotic Applications in Finfish Farming Robotic technology can streamline various operations in finfish farming. For instance, technologies like Remote Operated Vehicles (ROV) can expedite inspection and monitoring processes in the farming facilities by about 40%. About 55% of fish losses in non-robo farms are due to diseases or parasites, which could be prevented with the regular inspection ROVs provide. Additionally, autonomous feeding robots have revolutionized fish feeding processes, with farms experiencing a 25% reduction in overfeeding and subsequently decreasing feed wastage.

Improving Fish Health and Welfare with Robots Robots can significantly contribute to enhancing fish health and welfare. Automated sorting robots, for instance, contribute to lowering stress on fish during size grading and sorting processes. They can effectively grade thousands of fish per hour, thereby increasing productivity by an estimated 60%. Automated health monitoring robots likewise monitor fish for diseases, assisting in early disease detection. This early intervention is crucial, considering that a 10% increase in disease detection can decrease mortality rates by an estimated 15%.

Sustainability and Technological Advancements Investments in robots and AI can drastically push sustainable practices in finfish farming and hatcheries. AI-powered water quality monitoring systems foster sustainable practices by reducing water usage by nearly 30%. These systems continuously monitor and adjust water conditions, ensuring optimal growth conditions while minimizing water wastage. Furthermore, emerging technologies such as machine learning and drones are expected to scale up the industry’s sustainability by optimizing resources and monitoring seafloor damage.

Key Takeaways • Robotic technology can surge efficiency in finfish farming by speeding up inspection procedures and decreasing feed wastage. • Automated sorting and health monitoring robots play clear roles in enhancing fish health and welfare by reducing stress and aiding early disease detection. • Continued investments in technologies like AI-powered water monitoring systems, machine learning, and drones are pivotal to advancing sustainability goals in the industry.


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News in Robot Autonomy

News in Robot Autonomy