In the aquaculture of Pacific bluefin tuna (PBT, Thunnus orientalis), low survival rates during
the larval stage remain a significant issue for the stable supply of seedlings reared from
eggs. Egg quality is an important factor affecting seedling production success. If egg quality
can be evaluated before hatching, the efficiency of seedling production will be improved by
selectively cultivating the seedlings with a high survival rate. In our previous study, we
developed a system using a convolutional neural network to evaluate PBT egg quality by …