… deep learning in smart fish farming This review discussed 41 papers related to DL and
smart fish farming… The relevant applications can be divided into six categories: live fish …

… This study examines smart fish farming methods that show how complicated science and …
fish culture in this setting. The technical specifics of DL approaches used in smart fish farming …

… fish detection performance was compared and evaluated by applying the latest deep
learning-based object detection models, and an algorithm was proposed to measure fish object …

… in the field of aquaculture and fish farming. Conclusions are made … The main directions in
the area of commercial fish farming … of neural networks of deep learning are raised, and also …

… The breakthrough point of AI in intelligent fish farm is deep learning. Compared with traditional
machine learning, deep learning can better extract the features of agricultural images and …

… Due to their powerful feature extraction capabilities, deep learning (DL) algorithms have
been widely used in underwater image processing. Hence, the combination of DL algorithms …

… appearance or condition of the underwater fish in advanced via computational intelligence
… of other fish. This paper introduces a two-phase ImageNet pre-trained deep learning model …

… With the rapid emergence of the technology of deep learning (DL), it was successfully used
… processing in the smart fish farm. This study focuses on deep learning applications and how …

… One of the most significant parameters for fish farming is how fish behave under certain …
To conclude, we present and verify a deep learning architecture for detecting fish behavior in …

… wild fish populations surrounding fish farms can contribute to a better understanding of
interactions between wild and farmed fish, … , stress in farmed fish, wild fish behavior and nutritional …