Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong… - Reviews in …, 2021 - Wiley Online Library
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

[HTML][HTML] Applications of data mining and machine learning framework in aquaculture and fisheries: A review

J Gladju, BS Kamalam, A Kanagaraj - Smart Agricultural Technology, 2022 - Elsevier
Aquaculture and fisheries sectors are finding ingenious ways to grow and meet the soaring
human demand for nutrient-rich fish and seafood by efficiently utilizing the vast water …

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

A Mathis, P Mamidanna, KM Cury, T Abe… - Nature …, 2018 - nature.com
Quantifying behavior is crucial for many applications in neuroscience. Videography provides
easy methods for the observation and recording of animal behavior in diverse settings, yet …

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

JM Graving, D Chae, H Naik, L Li, B Koger… - Elife, 2019 - elifesciences.org
Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …

Fast animal pose estimation using deep neural networks

TD Pereira, DE Aldarondo, L Willmore, M Kislin… - Nature …, 2019 - nature.com
The need for automated and efficient systems for tracking full animal pose has increased
with the complexity of behavioral data and analyses. Here we introduce LEAP (LEAP …

TRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields

T Walter, ID Couzin - Elife, 2021 - elifesciences.org
Automated visual tracking of animals is rapidly becoming an indispensable tool for the study
of behavior. It offers a quantitative methodology by which organisms' sensing and decision …

Nanoplastics cause neurobehavioral impairments, reproductive and oxidative damages, and biomarker responses in zebrafish: throwing up alarms of wide spread …

S Sarasamma, G Audira, P Siregar, N Malhotra… - International journal of …, 2020 - mdpi.com
Plastic pollution is a growing global emergency and it could serve as a geological indicator
of the Anthropocene era. Microplastics are potentially more hazardous than macroplastics …

The Mouse Action Recognition System (MARS) software pipeline for automated analysis of social behaviors in mice

C Segalin, J Williams, T Karigo, M Hui, M Zelikowsky… - Elife, 2021 - elifesciences.org
The study of naturalistic social behavior requires quantification of animals' interactions. This
is generally done through manual annotation—a highly time-consuming and tedious …

Simple Behavioral Analysis (SimBA)–an open source toolkit for computer classification of complex social behaviors in experimental animals

SRO Nilsson, NL Goodwin, JJ Choong, S Hwang… - BioRxiv, 2020 - biorxiv.org
Aberrant social behavior is a core feature of many neuropsychiatric disorders, yet the study
of complex social behavior in freely moving rodents is relatively infrequently incorporated …

Frontiers in quantifying wildlife behavioural responses to chemical pollution

MG Bertram, JM Martin, ES McCallum… - Biological …, 2022 - Wiley Online Library
Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …