[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 …

[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 …

[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 …

[HTML][HTML] Using machine learning to count Antarctic shag (Leucocarbo bransfieldensis) nests on images captured by Remotely Piloted Aircraft Systems

A Cusick, K Fudala, PP Storożenko, J Świeżewski… - Ecological …, 2024 - Elsevier
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 …

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 …

[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 …

[HTML][HTML] Camouflage detection: Optimization-based computer vision for Alligator sinensis with low detectability in complex wild environments

Y Liu, S Che, L Ai, C Song, Z Zhang, Y Zhou, X Yang… - Ecological …, 2024 - Elsevier
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 …

[HTML][HTML] Lightweight and accurate aphid detection model based on an improved deep-learning network

W Sun, Y Li, H Feng, X Weng, Y Ruan, K Fang… - Ecological …, 2024 - Elsevier
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 …

[HTML][HTML] Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas

N Noguchi, H Nishizawa, T Shimizu, J Okuyama… - Ecological …, 2025 - Elsevier
Drones have recently been used to assess wildlife populations and their abundance. The
automatic detection of target animals in drone footage enables efficient abundance …

[HTML][HTML] HuBot: A biomimicking mobile robot for non-disruptive bird behavior study

LS Saoud, L Lesobre, E Sorato, S Al Qaydi… - Ecological …, 2025 - Elsevier
The Houbara bustard, an avian species of conservation concern, poses significant
challenges to researchers because of its elusive nature and sensitivity to human …