AI RESEARCH

Automated Pest Counting in Water Traps through Active Robotic Stirring for Occlusion Handling

arXiv CS.CV

ArXi:2510.21732v2 Announce Type: replace-cross Existing image-based pest counting methods rely on single static images and often produce inaccurate results under occlusion. To address this issue, this paper proposes an automated pest counting method in water traps through active robotic stirring. First, an automated robotic arm-based stirring system is developed to redistribute pests and reveal occluded individuals for counting. Then, the effects of different stirring patterns on pest counting performance are investigated.