aceSolenopsisDetector: development of an automatic detection system for fire ants using computer vision and deep learning
Fire ants (Solenopsis spp. Westwood) pose a major ecological and economic threat, mainly due to the invasive potential of certain species. Current identification methods are highly dependent on taxonomic expertise, which can slow down decision-making. The development of an automated detection system could therefore support the identification process. We present SolenopsisDetector (SolenopD), an automated system for identifying Solenopsis ants using computer vision and deep learning. Following taxonomic practice,…
Automated vision system SolenopsisDetector can localize fire ants and classify Solenopsis species from images, with whole-body detection reaching high mAP and thorax/abdomen crops improving classification accuracy.
Evidence
- Peer-reviewedJournal of Economic Entomology2026-08-04
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Truvace Impact Record TRV-2026-0654, v2: “SolenopsisDetector: development of an automatic detection system for fire ants using computer vision and deep learning.” Truvace, 2026-11-04. /record/TRV-2026-0654 (accessed at citation time). sha256 cc8af64f69575c34…
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Editorial pass: sharper headline; filed as context: no real AI gain or problem (gain activity_only, problem absent).
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