… 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 …

… machine learning in intelligent fish aquaculture The application of machine learning algorithms
in intelligent fish … including: fish biomass detection, identification and classification of fish, …

… 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 …

… 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 …

… of machine learning and what data the machine learning was trained on. In this context we
define machine learning … -15), which is not considered machine learning in this table. We can …

… Traditional machine learning methods have not satisfied the … As an important branch of
machine learning, deep learning has been … in aquaculture (ie fish classification, fish counting, fish …

… fish timely is an obligatory step to thwart from spreading disease. In this work, we want to find
out the salmon fish disease in aquaculture, as salmon aquaculture is … and machine learning …

… status of machine learning applications for smart aquaculture. The … aquaculture; (2) machine
learning and (3) applications of … short, machine learning is popularly used to identify the fish …

… 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 …

… fish welfare and sustainability. In this paper, we propose and test a machine learning based
… using multibeam echosounders (MBES) in fish farming applications. We demonstrate a three…