Towards the fully automated monitoring of ecological communities

M Besson, J Alison, K Bjerge, TE Gorochowski… - Ecology …, 2022 - Wiley Online Library
High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …

Conservation tools: the next generation of engineering–biology collaborations

AK Schulz, C Shriver, S Stathatos… - Journal of the …, 2023 - royalsocietypublishing.org
The recent increase in public and academic interest in preserving biodiversity has led to the
growth of the field of conservation technology. This field involves designing and constructing …

FishNet: A large-scale dataset and benchmark for fish recognition, detection, and functional trait prediction

FF Khan, X Li, AJ Temple… - Proceedings of the …, 2023 - openaccess.thecvf.com
Aquatic species are essential components of the world's ecosystem, and the preservation of
aquatic biodiversity is crucial for maintaining proper ecosystem functioning. Unfortunately …

Insect identification in the wild: The ami dataset

A Jain, F Cunha, MJ Bunsen, JS Cañas, L Pasi… - … on Computer Vision, 2024 - Springer
Insects represent half of all global biodiversity, yet many of the world's insects are
disappearing, with severe implications for ecosystems and agriculture. Despite this crisis …

A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring

JS Cañas, MP Toro-Gómez, LSM Sugai… - Scientific Data, 2023 - nature.com
Global change is predicted to induce shifts in anuran acoustic behavior, which can be
studied through passive acoustic monitoring (PAM). Understanding changes in calling …

CoralSCOP: Segment any COral Image on this Planet

Z Zheng, H Liang, BS Hua, YH Wong… - Proceedings of the …, 2024 - openaccess.thecvf.com
Underwater visual understanding has recently gained increasing attention within the
computer vision community for studying and monitoring underwater ecosystems. Among …

Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Review

M Cui, X Liu, H Liu, J Zhao, D Li, W Wang - arxiv preprint arxiv …, 2024 - arxiv.org
Digital aquaculture leverages advanced technologies and data-driven methods, providing
substantial benefits over traditional aquaculture practices. This paper presents a …

Low-power Continuous Remote Behavioral Localization with Event Cameras

F Hamann, S Ghosh, IJ Martinez… - Proceedings of the …, 2024 - openaccess.thecvf.com
Researchers in natural science need reliable methods for quantifying animal behavior.
Recently numerous computer vision methods emerged to automate the process. However …

Wild salmon enumeration and monitoring using deep learning empowered detection and tracking

WI Atlas, S Ma, YC Chou, K Connors… - Frontiers in Marine …, 2023 - frontiersin.org
Pacific salmon have experienced declining abundance and unpredictable returns, yet
remain vital to livelihoods, food security, and cultures of coastal communities around the …

Uniformity and deformation: A benchmark for multi-fish real-time tracking in the farming

J Huang, X Yu, D An, X Ning, J Liu, P Tiwari - Expert Systems with …, 2025 - Elsevier
In the context of smart aquaculture, real-time Multi-fish Tracking (MFT) poses a significant
challenge. Existing Multi-Object Tracking (MOT) methods are often designed for objects with …