In aquaculture, the food costs represent approximately 45% of the operating costs in a fish farm. Thus, the reduction of food costs is essential to achieve the sustainability of such industry, existing great potential both in the reduction of food costs per unit and through the adoption of appropriate food management strategies. The present invention solves typical technical problems in this area (variable fish speed, low resolution or measurement errors in the calculation of the weight and height of the fish) through the reconstruction of 3D images.
Researchers from a Spanish university working in electronic engineering provide a system for estimating biomass in aquaculture based on reconstructions of images in three dimensions. The system comprises a frame that defines a cube whose interior is divided into two different zones: the first one is a passage for the fish and a second one is configured to prevent the access of fish to its interior and where several sensors for oxygen, pH, conductivity and turbidity are provided, as well as an RFID reader device connected with an RFID antenna arranged in a frame at the entrance of the fish passage zone. Unlike current systems, this technology works out the biomass in real time based on the volume of the fish and its density. It also uses a discretization and tracking algorithm and, with the use of all the obtained variables from the sensors and the use of neural networks, predictions of the state and behavior of the fish can be performed.
The researchers would like to reach license agreements with companies operating in the aquaculture field with the aim to develop applications of the described technology.