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Using YOLO Object Detection to Identify Hare and Roe Deer in Thermal Aerial Video Footage—Possible Future Applications in Real-Time Automatic Drone Surveillance and Wildlife Monitoring
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ece3.6840openalex-snapshot
Automated facial recognition for wildlife that lack unique markings: A deep learning approach for brown bears
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Evaluating the Use of Drones Equipped with Thermal Sensors as an Effective Method for Estimating Wildlife
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New Developments and Environmental Applications of Drones
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Review on methods used for wildlife species and individual identification
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Flight speed and time of day heavily influence rainforest canopy wildlife counts from drone-mounted thermal camera surveys
inferredcites →https://doi.org/10.1007/s12524-020-01229-xopenalex-snapshot
Object Detection and Tracking with UAV Data Using Deep Learning
inferredcites →https://doi.org/10.1016/j.atech.2021.100002openalex-snapshot
Monitoring of free-range rabbits using aerial thermal imaging
inferredcites →https://doi.org/10.1109/access.2021.3120870openalex-snapshot
YOLO-FIRI: Improved YOLOv5 for Infrared Image Object Detection
inferredcites →https://doi.org/10.1109/ccdc52312.2021.9602124openalex-snapshot
Wildlife Small Object Detection based on Enhanced Network in Ecological Surveillance
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
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Improving the precision and accuracy of animal population estimates with aerial image object detection
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Automated detection of wildlife using drones: Synthesis, opportunities and constraints
inferredcites →https://doi.org/10.1111/2041-210x.13912openalex-snapshot
Existing and emerging uses of drones in restoration ecology
inferredcites →https://doi.org/10.1111/mam.12046openalex-snapshot
Are unmanned aircraft systems ( UAS s) the future of wildlife monitoring? A review of accomplishments and challenges
inferredcites →https://doi.org/10.3390/ani12151976openalex-snapshot
Animal Detection and Classification from Camera Trap Images Using Different Mainstream Object Detection Architectures
inferredcites →https://doi.org/10.3390/drones5040126openalex-snapshot
Drones, Deep Learning, and Endangered Plants: A Method for Population-Level Census Using Image Analysis
inferredcites →https://doi.org/10.3390/drones7010005openalex-snapshot
Using Drones with Thermal Imaging to Estimate Population Counts of European Hare (Lepus europaeus) in Denmark
inferredcites →https://doi.org/10.3390/drones7010047openalex-snapshot
Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities
inferredcites →https://doi.org/10.3390/drones7010061openalex-snapshot
The Effects of Spatial Resolution and Resampling on the Classification Accuracy of Wetland Vegetation Species and Ground Objects: A Study Based on High Spatial Resolution UAV Images
inferredcites →https://doi.org/10.3390/drones7030190openalex-snapshot
YOLO-Based UAV Technology: A Review of the Research and Its Applications
inferredcites →https://doi.org/10.3390/drones7110661openalex-snapshot
A Novel Scouring Method to Monitor Nocturnal Mammals Using Uncrewed Aerial Vehicles and Thermal Cameras—A Comparison to Line Transect Spotlight Counts
inferredcites →https://doi.org/10.3390/drones8010002openalex-snapshot
Using YOLO Object Detection to Identify Hare and Roe Deer in Thermal Aerial Video Footage—Possible Future Applications in Real-Time Automatic Drone Surveillance and Wildlife Monitoring
inferredcites →https://doi.org/10.3390/electronics12020377openalex-snapshot
Wildlife Object Detection Method Applying Segmentation Gradient Flow and Feature Dimensionality Reduction
inferredcites →https://doi.org/10.3390/rs13112169openalex-snapshot
Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images
inferredcites →https://doi.org/10.3390/rs13163095openalex-snapshot
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5
inferredcites →https://doi.org/10.3390/rs14051096openalex-snapshot
Unmanned Aerial Vehicle (UAV) Remote Sensing in Grassland Ecosystem Monitoring: A Systematic Review
inferredcites →https://doi.org/10.3390/rs14102432openalex-snapshot
Automated Detection of Koalas with Deep Learning Ensembles
inferredcites →https://doi.org/10.3390/s22218424openalex-snapshot
YOLOv5 with ConvMixer Prediction Heads for Precise Object Detection in Drone Imagery
inferredcites →https://doi.org/10.5194/isprsarchives-xl-1-w4-241-2015openalex-snapshot
WILDLIFE MULTISPECIES REMOTE SENSING USING VISIBLE AND THERMAL INFRARED IMAGERY ACQUIRED FROM AN UNMANNED AERIAL VEHICLE (UAV)
inferredcites →https://doi.org/10.5552/crojfe.2022.1727openalex-snapshot
Application of UAS for Monitoring of Forest Ecosystems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/wsb.1595openalex-snapshot
Sea‐turtle observations at Matura Beach, Trinidad, using thermal UAS imagery: A strategy to support monitoring and conservation efforts
inferred← citeshttps://doi.org/10.1007/978-3-031-92651-8_23openalex-snapshot
Drone-Based Sheep Recognition and Counting: A Comparative Study of Color-Shape, and YOLOv5 Algorithms
inferred← citeshttps://doi.org/10.1007/s10661-025-14891-wopenalex-snapshot
Understanding the efficacy and efficiency of thermal infrared UAV for wildlife monitoring
inferred← citeshttps://doi.org/10.1007/s40032-026-01439-1openalex-snapshot
A Systematic Review of Ethical, Regulatory, and Safety Frameworks for Directional Decision-Making in Civilian UAV Systems
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103812openalex-snapshot
Low-disturbance UAV-AI monitoring of the endangered Przewalski's gazelle on the Qinghai-Tibetan plateau
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103949openalex-snapshot
Automated waterbird detection, classification, and mapping from UAV imagery using a two-stage deep learning pipeline
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.104068openalex-snapshot
Automated detection of moose and deer in thermal imagery using unmanned aerial vehicles and deep learning
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.116019openalex-snapshot
ADD-YOLO: An algorithm for detecting animals in outdoor environments based on unmanned aerial imagery
inferred← citeshttps://doi.org/10.1038/s41598-024-73631-1openalex-snapshot
Wildlife target detection based on improved YOLOX-s network
inferred← citeshttps://doi.org/10.1109/access.2026.3734034openalex-snapshot
NightWatch-TIR-v2: Advancing Thermal Wildlife Species Detection Through Explainable Benchmarking
inferred← citeshttps://doi.org/10.1109/blackseacom61746.2024.10646241openalex-snapshot
Efficient Video Object Detection of Indoor Furniture and Home Appliances
inferred← citeshttps://doi.org/10.1109/icaace65325.2025.11019132openalex-snapshot
Research on Smoking Behavior Detection System in Public Places Based on UNS-YOLO Model
inferred← citeshttps://doi.org/10.1109/icetci61221.2024.10594341openalex-snapshot
Design of Bird Repellent System Based on Machine Vision Detection and Localization
inferred← citeshttps://doi.org/10.1109/icoseit67010.2025.11290775openalex-snapshot
Human and Animal Detection Using YOLO Algorithms: A Comparative Study of YOLOv8, YOLOv9, YOLOv10, and YOLOv11
inferred← citeshttps://doi.org/10.1111/mam.70044openalex-snapshot
Using Drones for Large Mammal Monitoring
inferred← citeshttps://doi.org/10.1145/3727505.3727513openalex-snapshot
Research on real-time video target anomaly detection based on YOLO algorithm
inferred← citeshttps://doi.org/10.3390/ani14192909openalex-snapshot
CECS-CLIP: Fusing Domain Knowledge for Rare Wildlife Detection Model
inferred← citeshttps://doi.org/10.3390/drones8050198openalex-snapshot
Multi-Altitude Corn Tassel Detection and Counting Based on UAV RGB Imagery and Deep Learning
inferred← citeshttps://doi.org/10.3390/drones8100522openalex-snapshot
Vegetation Type Preferences in Red Deer (Cervus elaphus) Determined by Object Detection Models
inferred← citeshttps://doi.org/10.3390/drones9070455openalex-snapshot
Drones and AI-Driven Solutions for Wildlife Monitoring
inferred← citeshttps://doi.org/10.3390/drones9070482openalex-snapshot
Drones and Deep Learning for Detecting Fish Carcasses During Fish Kills
inferred← citeshttps://doi.org/10.3390/drones9090603openalex-snapshot
Integration of Drones in Landscape Research: Technological Approaches and Applications
inferred← citeshttps://doi.org/10.3390/drones9090651openalex-snapshot
Drone Monitoring and Behavioral Analysis of White-Beaked Dolphins (Lagenorhynchus albirostris)
inferred← citeshttps://doi.org/10.3390/electronics15051100openalex-snapshot
AI-Native Multi-Scale Attention Fusion for Ubiquitous Aerial Sensing: Small Object Detection in UAV Imagery
inferred← citeshttps://doi.org/10.3390/mca31030079openalex-snapshot
Real-Time Urban Animal Monitoring Using Transfer Learning-Based Object Detection on Web Platforms
inferred← citeshttps://doi.org/10.3390/rs18193375openalex-snapshot
Multi-Perspective Wildlife Monitoring with Drones and Camera Traps Using Deep Learning and Spatial Analysis
inferred← citeshttps://doi.org/10.3390/s24103064openalex-snapshot
Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems
inferred← citeshttps://doi.org/10.3390/s24196218openalex-snapshot
FloatingBlue: A Delay Tolerant Networks-Enabled Internet of Things Architecture for Remote Areas Combining Data Mules and Low Power Communications
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