Cargando…
Research on cassava disease classification using the multi-scale fusion model based on EfficientNet and attention mechanism
Cassava disease is one of the leading causes to the serious decline of cassava yield. Because it is difficult to identify the characteristics of cassava disease, if not professional cassava growers, it will be prone to misjudgment. In order to strengthen the judgment of cassava diseases, the identif...
Autores principales: | Liu, Mingxin, Liang, Haofeng, Hou, Mingxin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815107/ https://www.ncbi.nlm.nih.gov/pubmed/36618625 http://dx.doi.org/10.3389/fpls.2022.1088531 |
Ejemplares similares
-
Improved EfficientNet for corn disease identification
por: Cai, Jitong, et al.
Publicado: (2023) -
HDR-EfficientNet: A Classification of Hypertensive and Diabetic Retinopathy Using Optimize EfficientNet Architecture
por: Abbas, Qaisar, et al.
Publicado: (2023) -
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
por: Gessert, Nils, et al.
Publicado: (2020) -
Ensemble of EfficientNets for the Diagnosis of Tuberculosis
por: Oloko-Oba, Mustapha, et al.
Publicado: (2021) -
Exploration of Ear Biometrics Using EfficientNet
por: Booysens, Aimee, et al.
Publicado: (2022)