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cs.RO2025
Automated Pest Counting in Water Traps through Active Robotic Stirring for Occlusion Handling
Xumin Gao, Mark Stevens, Grzegorz Cielniak
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 automate…
cs.CV2025
Counting with Confidence: Accurate Pest Monitoring in Water Traps
Xumin Gao, Mark Stevens, Grzegorz Cielniak
Accurate pest population monitoring and tracking their dynamic changes are crucial for precision agriculture decision-making. A common limitation in existing vision-based automatic…