Cargando…
Improvement of the YOLOv5 Model in the Optimization of the Brown Spot Disease Recognition Algorithm of Kidney Bean
The kidney bean is an important cash crop whose growth and yield are severely affected by brown spot disease. Traditional target detection models cannot effectively screen out key features, resulting in model overfitting and weak generalization ability. In this study, a Bi-Directional Feature Pyrami...
Autores principales: | Su, Pengyan, Li, Hao, Wang, Xiaoyun, Wang, Qianyu, Hao, Bokun, Feng, Meichen, Sun, Xinkai, Yang, Zhongyu, Jing, Binghan, Wang, Chao, Qin, Mingxing, Song, Xiaoyan, Xiao, Lujie, Sun, Jingjing, Zhang, Meijun, Yang, Wude |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648829/ https://www.ncbi.nlm.nih.gov/pubmed/37960121 http://dx.doi.org/10.3390/plants12213765 |
Ejemplares similares
-
Non-destructive monitoring of maize LAI by fusing UAV spectral and textural features
por: Sun, Xinkai, et al.
Publicado: (2023) -
Study on hyperspectral estimation model of soil organic carbon content in the wheat field under different water treatments
por: Yang, Chenbo, et al.
Publicado: (2021) -
Study on Hyperspectral Monitoring Model of Total Flavonoids and Total Phenols in Tartary Buckwheat Grains
por: Yang, Chenbo, et al.
Publicado: (2023) -
Tomato brown rot disease detection using improved YOLOv5 with attention mechanism
por: Liu, Jun, et al.
Publicado: (2023) -
Effects of Applying Different Doses of Selenite to Soil and Foliar at Different Growth Stage on Selenium Content and Yield of Different Oat Varieties
por: Hao, Shuangnan, et al.
Publicado: (2022)