A Lightweight YOLOv4-Based Forestry Pest Detection Method Using Coordinate Attention and Feature Fusion

Traditional pest detection methods are challenging to use in complex forestry environments due to their low accuracy and speed. To address this issue, this paper proposes the YOLOv4_MF model. The YOLOv4_MF model utilizes MobileNetv2 as the feature extraction block and replaces the traditional convol...

Descripción completa

Detalles Bibliográficos
Autores principales: Zha, Mingfeng, Qian, Wenbin, Yi, Wenlong, Hua, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700145/
https://www.ncbi.nlm.nih.gov/pubmed/34945892
http://dx.doi.org/10.3390/e23121587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700145/
https://www.ncbi.nlm.nih.gov/pubmed/34945892
http://dx.doi.org/10.3390/e23121587

Ejemplares similares