Sounding the call for a global library of underwater biological sounds
Aquatic environments encompass the world's most extensive habitats, rich with sounds
produced by a diversity of animals. Passive acoustic monitoring (PAM) is an increasingly …
produced by a diversity of animals. Passive acoustic monitoring (PAM) is an increasingly …
A review on the use of computer vision and artificial intelligence for fish recognition, monitoring, and management
JGA Barbedo - Fishes, 2022 - mdpi.com
Computer vision has been applied to fish recognition for at least three decades. With the
inception of deep learning techniques in the early 2010s, the use of digital images grew …
inception of deep learning techniques in the early 2010s, the use of digital images grew …
Recent advances in acoustic technology for aquaculture: A review
D Li, Z Du, Q Wang, J Wang, L Du - Reviews in Aquaculture, 2024 - Wiley Online Library
Acoustic technology has great application prospects in aquaculture. In particular, two
indispensable, critical technologies for the future aquaculture industry are multi‐sensor …
indispensable, critical technologies for the future aquaculture industry are multi‐sensor …
Machine learning for characterizing tropical tuna aggregations under Drifting Fish Aggregating Devices (DFADs) from commercial echosounder buoys data
Y Baidai, L Dagorn, MJ Amande, D Gaertner… - Fisheries …, 2020 - Elsevier
The use of echosounder buoys deployed in conjunction with Drifting Fish Aggregating
Devices (DFADs) has progressively increased in the tropical tuna purse seine fishery since …
Devices (DFADs) has progressively increased in the tropical tuna purse seine fishery since …
[PDF][PDF] Investigating the utility of ecoacoustic metrics in marine soundscapes
Soundscape analysis is a potentially powerful tool in ecosystem monitoring. Ecoacoustic
metrics, including the Acoustic Complexity Index (ACI) and Acoustic Entropy (H), were …
metrics, including the Acoustic Complexity Index (ACI) and Acoustic Entropy (H), were …
Multi-classification deep neural networks for identification of fish species using camera captured images
Regular monitoring of the number of various fish species in a variety of habitats is essential
for marine conservation efforts and marine biology research. To address the shortcomings of …
for marine conservation efforts and marine biology research. To address the shortcomings of …
An approach for automatic classification of grouper vocalizations with passive acoustic monitoring
Grouper, a family of marine fishes, produce distinct vocalizations associated with their
reproductive behavior during spawning aggregation. These low frequencies sounds (50 …
reproductive behavior during spawning aggregation. These low frequencies sounds (50 …
Applying artificial intelligence methods to detect and classify fish calls from the Northern Gulf of Mexico
EE Waddell, JH Rasmussen, A Širović - Journal of Marine Science and …, 2021 - mdpi.com
Passive acoustic monitoring is a method that is commonly used to collect long-term data on
soniferous animal presence and abundance. However, these large datasets require …
soniferous animal presence and abundance. However, these large datasets require …
Automatic fish sounds classification
The work presented in this paper focuses on the use of acoustic systems for passive
acoustic monitoring of ocean vitality for fish populations. Specifically, it focuses on the use of …
acoustic monitoring of ocean vitality for fish populations. Specifically, it focuses on the use of …
Automatic detection of unidentified fish sounds: a comparison of traditional machine learning with deep learning
Many species of fishes around the world are soniferous. The types of sounds fishes produce
vary among species and regions but consist typically of low-frequency (< 1.5 kHz) pulses …
vary among species and regions but consist typically of low-frequency (< 1.5 kHz) pulses …