HIGHLIGHTS
- who: Wei Zhang and collaborators from the AandF University, China have published the article: AgriPest-YOLO: A rapid light-trap agricultural pest detection method based on deep learning, in the Journal: (JOURNAL)
- what: On the whole, the above machine_learning based pest identification methods have achieved good performance to some extent, but most of the work of traditional algorithms aims at solving the part of the pest detection issue, the classification problem, while few focus on the more challenging localization problem. The authors evaluate the methods on a pest dataset called Pest24 (Wang Q.-J. et_al . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.