Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps
Our results support the development of an automatic classification of pests on a sticky trap, which should focus on colour and deep learning architecture to achieve good results. Future studies could aim to incorporate the trap system into pest monitoring, providing more accurate and cost-effective results in a pest management programme. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Authors
- Song‐Quan Ong (ORCID: https://orcid.org/0000-0003-2869-4000)
- Toke T. Høye (ORCID: https://orcid.org/0000-0001-5387-3284)
Institutions
- Universiti of Malaysia Sabah (MY)
- Aarhus University (DK)
Publication Details
- Journal
- Pest Management Science
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1002/ps.8464
- Citations
- 10
- Primary Topic
- Insect and Arachnid Ecology and Behavior
- Type
- article
- Field-Weighted Citation Impact
- 5.50