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

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.

Abstract