Deep Learning models have been used to forecast stock market prices whit different presicion, but in fisheries science, I haven't found similar approaches for Méxican Fisheries. Any suggestion ?
Price estimation is a type of regression problem. We need to identify the factor that influences the price of fish catches. These factors will act as input to a deep learning model. To train the mode we need a dataset showing the effect of price based on these factors.
This answer is just giving a general by which you can approach your problem.