Cargando…
A YOLOv7 incorporating the Adan optimizer based corn pests identification method
Major pests of corn insects include corn borer, armyworm, bollworm, aphid, and corn leaf mites. Timely and accurate detection of these pests is crucial for effective pests control and scientific decision making. However, existing methods for identification based on traditional machine learning and n...
Autores principales: | Zhang, Chong, Hu, Zhuhua, Xu, Lewei, Zhao, Yaochi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277678/ https://www.ncbi.nlm.nih.gov/pubmed/37342143 http://dx.doi.org/10.3389/fpls.2023.1174556 |
Ejemplares similares
-
Tomato Pest Recognition Algorithm Based on Improved YOLOv4
por: Liu, Jun, et al.
Publicado: (2022) -
TBC-YOLOv7: a refined YOLOv7-based algorithm for tea bud grading detection
por: Wang, Siyang, et al.
Publicado: (2023) -
Detecting Pests From Light-Trapping Images Based on Improved YOLOv3 Model and Instance Augmentation
por: Lv, Jiawei, et al.
Publicado: (2022) -
Rapid detection of Yunnan Xiaomila based on lightweight YOLOv7 algorithm
por: Wang, Fenghua, et al.
Publicado: (2023) -
An occluded cherry tomato recognition model based on improved YOLOv7
por: Hou, Guangyu, et al.
Publicado: (2023)