Automatic Monitoring of Relevant Behaviors for Crustacean Production in Aquaculture: A Review
College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
National Innovation Center for Digital Fishery, China Agricultural University, Beijing 100083, China
Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture, China Agricultural University, Beijing 100083, China
China-EU Center for Information and Communication Technologies in Agriculture, China Agricultural University, Beijing 100083, China
Author to whom correspondence should be addressed.
Academic Editor: Guiomar E. Rotllant
Received: 8 July 2021
Revised: 12 September 2021
Accepted: 13 September 2021
Published: 16 September 2021
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 find the answers they need. An analytics platform with automated behavior monitoring uses algorithms to auto-analyze datasets to search for notable changes in data. It then generates alerts at fixed intervals or triggers (thresholds), and delivers the findings to each user, ready-made. In-aquaculture scoring of behavioral indicators of aquatic animal welfare is challenging, but the increasing availability of low-cost technology now makes the automated monitoring of behavior feasible.