Detecting Pests From Light-Trapping Images Based on Improved YOLOv3 Model and Instance Augmentation

Light traps have been widely used as effective tools to monitor multiple agricultural and forest insect pests simultaneously. However, the current detection methods of pests from light trapping images have several limitations, such as exhibiting extremely imbalanced class distribution, occlusion amo...

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Detalles Bibliográficos
Autores principales: Lv, Jiawei, Li, Wenyong, Fan, Mingyuan, Zheng, Tengfei, Yang, Zhankui, Chen, Yaocong, He, Guohuang, Yang, Xinting, Liu, Shuangyin, Sun, Chuanheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301456/
https://www.ncbi.nlm.nih.gov/pubmed/35873992
http://dx.doi.org/10.3389/fpls.2022.939498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301456/
https://www.ncbi.nlm.nih.gov/pubmed/35873992
http://dx.doi.org/10.3389/fpls.2022.939498

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