⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

February 14, 2026Journal of Japan Society for Fuzzy Theory and Intelligent InformaticsOpen Access

Development of a Species Classification Model Using Infrared Images for Smart Wildlife Damage Management

Ryosei TODOROKI Satoshi ABIKO

View Full Paper

Ask AI

Bookmark

Share

Key Points

Infrared images improved species classification accuracy, contributing to wildlife management efforts.
The convolutional neural network YOLO achieved effective object detection across various datasets for training.
This analysis involved both large and small datasets to evaluate the model's learning efficiency and operational methods.
Further validation in real-world scenarios is necessary to enhance the model's applicability and effectiveness.

Implication

Observational analysis develops a model for species classification using infrared images, suggesting enhanced wildlife damage management strategies.

Abstract

No abstract yet. The journal hasn't published one we can show.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

TODOROKI et al. (2026) studied this question.

synapsesocial.com/papers/69a7611ec6e9836116a2ebf3 https://doi.org/10.3156/jsoft.38.1_564

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1You Only Look Once: Unified, Real-Time Object DetectionOriginal Research · 2016 · 52,981 citations
2Wild Animal Recognition Method for Videos Using a Combination of Deep Learning and Motion DetectionOriginal Research · 2021 · 5 citations
3Collective Intelligence + Evolutionary ComputationJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
4Dynamic Time Warping in GPDM Latent Space for Motion AnalysisJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
5Motor Rotational Speed Estimation for Mini 4WD AI Using a Novel Frequency Interpolation Algorithm with a Hanning WindowJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026

Extraction of Onomatopoeia Co-Occurrence Patterns and Analysis of Sales Trends in C2C Product DescriptionsJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
Fuzzy Clustering-Induced Switching Reinforcement Learning with Deterministic AnnealingJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
Optimization of Flight Paths for Mars Exploration Aircraft Considering Uncertainty Due to Wind DisturbanceJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
Knowledge Transfer from Human to Animal Pose Estimation Using Task Editing in Small-Scale DatasetsJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
Analyzing Interest Structures of Regional Railways by Demand Type with LLMJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026

More from Journal of Japan Society for Fuzzy Theory and Intelligent Informatics