Cargando…
Entropy and Fractal Techniques for Monitoring Fish Behaviour and Welfare in Aquacultural Precision Fish Farming—A Review
In a non-linear system, such as a biological system, the change of the output (e.g., behaviour) is not proportional to the change of the input (e.g., exposure to stressors). In addition, biological systems also change over time, i.e., they are dynamic. Non-linear dynamical analyses of biological sys...
Autores principales: | Eguiraun, Harkaitz, Martinez, Iciar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137457/ https://www.ncbi.nlm.nih.gov/pubmed/37190348 http://dx.doi.org/10.3390/e25040559 |
Ejemplares similares
-
Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model
por: Eguiraun, Harkaitz, et al.
Publicado: (2018) -
The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed
por: Eguiraun, Harkaitz, et al.
Publicado: (2018) -
Behavioural indicators of welfare in farmed fish
por: Martins, Catarina I. M., et al.
Publicado: (2011) -
MyFishCheck: A Model to Assess Fish Welfare in Aquaculture
por: Tschirren, Linda, et al.
Publicado: (2021) -
Intelligent fish farm—the future of aquaculture
por: Wang, Cong, et al.
Publicado: (2021)