[HTML][HTML] Management and sustainable exploitation of marine environments through smart monitoring and automation

F Glaviano, R Esposito, AD Cosmo, F Esposito… - Journal of Marine …, 2022 - mdpi.com
Monitoring of aquatic ecosystems has been historically accomplished by intensive
campaigns of direct measurements (by probes and other boat instruments) and indirect …

[HTML][HTML] Smart fishery: a systematic review and research agenda for sustainable fisheries in the age of AI

S Honarmand Ebrahimi, M Ossewaarde, A Need - Sustainability, 2021 - mdpi.com
Applications of artificial intelligence (AI) technologies for improving the sustainability of the
smart fishery have become widespread. While sustainability is often claimed to be the …

Expectation-maximization binary clustering for behavioural annotation

J Garriga, JRB Palmer, A Oltra, F Bartumeus - PLoS One, 2016 - journals.plos.org
The growing capacity to process and store animal tracks has spurred the development of
new methods to segment animal trajectories into elementary units of movement. Key …

Estimating fishing effort in small-scale fisheries using GPS tracking data and random forests

F Behivoke, MP Etienne, J Guitton, RM Randriatsara… - Ecological …, 2021 - Elsevier
During the last decade spatial patterns of industrial fisheries have been increasingly
characterized using tracking technologies and machine learning analytical algorithms. In …

[HTML][HTML] Integration of fisheries into marine spatial planning: Quo vadis?

H Janßen, F Bastardie, M Eero, KG Hamon… - Estuarine, Coastal and …, 2018 - Elsevier
The relationship between fisheries and marine spatial planning (MSP) is still widely
unsettled. While several scientific studies highlight the strong relation between fisheries and …

Identifying stationary phases in multivariate time series for highlighting behavioural modes and home range settlements

R Patin, MP Etienne, E Lebarbier… - Journal of Animal …, 2020 - Wiley Online Library
Recent advances in biologging open promising perspectives in the study of animal
movements at numerous scales. It is now possible to record time series of animal locations …

A novel machine learning approach to analyzing geospatial vessel patterns using AIS data

MD Ferreira, JNA Campbell… - GIScience & Remote …, 2022 - Taylor & Francis
In the maritime environment, the Automatic Identification System (AIS) contains information
related to vessel trajectories that can be used to detect unusual maritime occurrences and …

FVID: fishing vessel type identification based on VMS trajectories

H Huang, F Hong, J Liu, C Liu, Y Feng… - Journal of Ocean University …, 2019 - Springer
Abstract Vessel Monitoring System (VMS) provides a new opportunity for quantified fishing
research. Many approaches have been proposed to recognize fishing activities with VMS …

Vessel monitoring systems (VMS) reveal an increase in fishing efficiency following regulatory changes in a demersal longline fishery

JT Watson, AC Haynie, PJ Sullivan, L Perruso… - Fisheries …, 2018 - Elsevier
A global expansion of satellite-based monitoring is making fisher behavioral responses to
management actions increasingly observable. However, such data have been underutilized …

The value of time‐series data for conservation planning

I García‐Barón, S Giakoumi, MB Santos… - Journal of Applied …, 2021 - Wiley Online Library
Protected areas (PAs) are increasingly being used world‐wide for the conservation and
management of wildlife. Systematic conservation planning (SCP) aims at ensuring …