Cargando…
Automatic Monitoring of Relevant Behaviors for Crustacean Production in Aquaculture: A Review
SIMPLE SUMMARY: Automatic behavior monitoring, also called automated analytics or automated reporting, is the ability of an analytics platform to auto-detect relevant insights—anomalies, trends, patterns—and deliver them to users in real time, without users having to manually explore their data to f...
Autores principales: | Li, Daoliang, Liu, Chang, Song, Zhaoyang, Wang, Guangxu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466386/ https://www.ncbi.nlm.nih.gov/pubmed/34573675 http://dx.doi.org/10.3390/ani11092709 |
Ejemplares similares
-
Automatic Recognition of Fish Behavior with a Fusion of RGB and Optical Flow Data Based on Deep Learning
por: Wang, Guangxu, et al.
Publicado: (2021) -
Heat Shock Proteins (Hsps) in Cellular Homeostasis: A Promising Tool for Health Management in Crustacean Aquaculture
por: Kumar, Vikash, et al.
Publicado: (2022) -
The influence of finfish aquaculture on benthic fish and crustacean assemblages in Fitzgerald Bay, South Australia
por: Tanner, Jason E., et al.
Publicado: (2015) -
Intelligent fish farm—the future of aquaculture
por: Wang, Cong, et al.
Publicado: (2021) -
Apex Predators Enhance Environmental Adaptation but Reduce Community Stability of Bacterioplankton in Crustacean Aquaculture Ponds
por: Hou, Yiran, et al.
Publicado: (2022)