… fishery farming. In the present paper, the machine learning algorithms and techniques adopted
in intelligent fish aquaculture in the past five years are expounded, and the application of …

… Considering the growing use and potential of data mining and machine learning in fish …
application of data mining and machine learning in fisheries and aquaculture, with insights on the …

… The identification of infected fish timely is an obligatory step … salmon fish disease in aquaculture,
as salmon aquaculture is … machine learning mechanism, we identify the infected fishes …

… to impact marine fish and aquaculture production, where machine learning (ML) … fish
production. This research aims to develop an ML-based prediction of marine fish and aquaculture …

… sample after trained by machine learning model which have the … machine learning as well
as its advantages, there are several implements in aquaculture recently such as biomass fish …

… the stability of aquaculture systems and reduce the occurrence of fish diseases … machine
learning model with the best performance for water quality prediction in industrial aquaculture …

… alternative to the future supply of fisheries food is efficient aquaculture. Therefore, research
efforts are being made in the development of aquaculture not only in developed countries but …

… the aquaculture. Since a new conservative method is needed for monitoring the feed of
fish, … system with integration of improved decision machine learning algorithm (IDMLA). The …

… As an important branch of machine learning, deep learning has been emphasized in both
academia … and virtual fish grasp). In this section, deep learning applications in aquaculture are …

… Predicting disease resistance is one of the most prominent applications of aquaculture … of
aquaculture species and their related diseases showing promising results. Machine learning (…