Methods and Technical Means of Nonintrusive Assessment of Fish Biomass and Robotic Maintenance of Cage Aquaculture

Smart aquaculture applies smart production methods to solve existing shortcomings in traditional aquaculture. The combination of technology and the art of smart aquaculture completely changes the way of managing and processing food and seafood production where artificial intelligence, IoT, and automation systems are applied effectively. From water quality management to livestock health monitoring, automated fish feeding, and harvesting systems, these technologies are changing the traditional landscape of the industry, creating new growth opportunities and helping to build a sustainable environment. In smart aquaculture, the main processes are evaluation of fish biomass and size regularly to check fish growth, evaluation of the efficiency of farming operations, calculation of appropriate feed amounts, and calculation of oxygen consumption, antibiotic dose, grading time and optimal harvest time. This article presents automatic and effective solutions for fish size assessment methods based on computer vision and linear models to estimate fish weight, allowing you to determine fish mass by size. Machine learning models combined with computer vision help to make the fish counting process faster and more efficient. From there, it becomes easier to estimate fish biomass without directly affecting the fish causing physical impact and stress.