Enhancing vector control: AI-based identification and counting of Aedes albopictus (Diptera: Culicidae) mosquito eggs
The model demonstrated excellent performance in recognizing and counting Ae. albopictus mosquito eggs, indicating great application potential. This study offers novel technological support for enhancing vector control effectiveness and public health standards.
Authors
- Jianping Wu (ORCID: https://orcid.org/0000-0002-8887-8031)
- D Wang
- Yibin Zhou (ORCID: https://orcid.org/0000-0002-5516-9466)
- Shenjun Yao (ORCID: https://orcid.org/0000-0003-4275-9085)
- Lü Dong (ORCID: https://orcid.org/0000-0001-9476-3321)
- Minhui Zhu
- Minghao Wang
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Ministry of Natural Resources (CN)
- Ministry of Education (BD)
- Shanghai Municipal Center For Disease Control Prevention (CN)
- East China Normal University (CN)
Publication Details
- Journal
- Parasites & Vectors
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s13071-024-06587-w
- Citations
- 2
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 1.09
Funders
- State Key Laboratory of Pathogen and Biosecurity