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Summary of main data from publications on fractal and entropy-based methods analysing individual and collective behaviours of fish with potential for selected applications in PFF/IA.

Journal: Entropy

Article Title: Entropy and Fractal Techniques for Monitoring Fish Behaviour and Welfare in Aquacultural Precision Fish Farming—A Review

doi: 10.3390/e25040559

Figure Lengend Snippet: Summary of main data from publications on fractal and entropy-based methods analysing individual and collective behaviours of fish with potential for selected applications in PFF/IA.

Article Snippet: [ ] , Species not declared , Video recording under real farming conditions and development of a method to detect abnormal behaviours. , Detection of abnormal behaviour in real-life situation on a farm. , Softmax cross-entropy loss and weight attenuation L2 regularization were used to optimize a convolution 3D model, which, consequently, proved to be able to successfully analyse real-life aquaculture videos and detect abnormal behaviours..

Techniques: Dispersion, Control, Activity Assay, Fluorescence In Situ Hybridization, Comparison, Biomarker Discovery, Northern Blot, Produced