[HTML][HTML] YOLO-SAG: An improved wildlife object detection algorithm based on YOLOv8n
L Chen, G Li, S Zhang, W Mao, M Zhang - Ecological Informatics, 2024 - Elsevier
Wildlife conservation is crucial for maintaining biodiversity, ensuring ecosystem balance and
stability, and fostering sustainable development. Currently, the use of infrared camera traps …
stability, and fostering sustainable development. Currently, the use of infrared camera traps …
[HTML][HTML] A reliable unmanned aerial vehicle multi-target tracking system with global motion compensation for monitoring Procapra przewalskii
G Zhang, Y Zhao, P Fu, W Luo, Q Shao, T Zhang… - Ecological …, 2024 - Elsevier
Procapra przewalskii, which inhabits plateau areas, faces the constant threat of poaching
and unpredictable risks that impede its survival. The implementation of a comprehensive …
and unpredictable risks that impede its survival. The implementation of a comprehensive …
[HTML][HTML] A video object segmentation-based fish individual recognition method for underwater complex environments
T Zheng, J Wu, H Kong, H Zhao, B Qu, L Liu, H Yu… - Ecological …, 2024 - Elsevier
Currently, aquaculture methods tend to combine scale and intelligence, which saves
manpower and improves the survival rate of seafood at the same time. High-precision and …
manpower and improves the survival rate of seafood at the same time. High-precision and …
[HTML][HTML] Using machine learning to count Antarctic shag (Leucocarbo bransfieldensis) nests on images captured by Remotely Piloted Aircraft Systems
Using 51 orthomosaics of 11 breeding locations of the Antarctic shag (Leucocarbo
bransfieldensis), we propose a method for automating counting of shag nests. This is …
bransfieldensis), we propose a method for automating counting of shag nests. This is …
An energy efficient fog-based internet of things framework to combat wildlife poaching
R Siyanwal, A Agarwal, SN Srirama - Sustainable Computing: Informatics …, 2025 - Elsevier
Wildlife trafficking, a significant global issue driven by unsubstantiated medical claims and
predatory lifestyle that can lead to zoonotic diseases, involves the illegal trade of …
predatory lifestyle that can lead to zoonotic diseases, involves the illegal trade of …
[HTML][HTML] Research trends in livestock facial identification: a review
MH Kang, SH Oh - Journal of Animal Science and Technology, 2025 - pmc.ncbi.nlm.nih.gov
This review examines the application of video processing and convolutional neural network
(CNN)-based deep learning for animal face recognition, identification, and re-identification …
(CNN)-based deep learning for animal face recognition, identification, and re-identification …
[HTML][HTML] Camouflage detection: Optimization-based computer vision for Alligator sinensis with low detectability in complex wild environments
Alligator sinensis is an extremely rare species that possesses excellent camouflage,
allowing it to fit perfectly into its natural environment. The use of camouflage makes …
allowing it to fit perfectly into its natural environment. The use of camouflage makes …
[HTML][HTML] Lightweight and accurate aphid detection model based on an improved deep-learning network
Rapid and accurate detection of bamboo aphids can help prevent large-scale aphid
infestations from occurring, which is of great significance for increasing bamboo shoot …
infestations from occurring, which is of great significance for increasing bamboo shoot …
[HTML][HTML] Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas
Drones have recently been used to assess wildlife populations and their abundance. The
automatic detection of target animals in drone footage enables efficient abundance …
automatic detection of target animals in drone footage enables efficient abundance …
[HTML][HTML] HuBot: A biomimicking mobile robot for non-disruptive bird behavior study
The Houbara bustard, an avian species of conservation concern, poses significant
challenges to researchers because of its elusive nature and sensitivity to human …
challenges to researchers because of its elusive nature and sensitivity to human …