Cargando…
FOTCA: hybrid transformer-CNN architecture using AFNO for accurate plant leaf disease image recognition
Plants are widely grown around the world and have high economic benefits. plant leaf diseases not only negatively affect the healthy growth and development of plants, but also have a negative impact on the environment. While traditional manual methods of identifying plant pests and diseases are cost...
Autores principales: | Hu, Bo, Jiang, Wenqian, Zeng, Juan, Cheng, Chen, He, Laichang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10524271/ https://www.ncbi.nlm.nih.gov/pubmed/37771483 http://dx.doi.org/10.3389/fpls.2023.1231903 |
Ejemplares similares
-
BAF-Net: Bidirectional attention fusion network via CNN and transformers for the pepper leaf segmentation
por: Fang, Jiangxiong, et al.
Publicado: (2023) -
A novel hybrid transformer-CNN architecture for environmental microorganism classification
por: Shao, Ran, et al.
Publicado: (2022) -
Symptom recognition of disease and insect damage based on Mask R-CNN, wavelet transform, and F-RNet
por: Li, He, et al.
Publicado: (2022) -
Land Cover Classification of UAV Remote Sensing Based on Transformer–CNN Hybrid Architecture
por: Lu, Tingyu, et al.
Publicado: (2023) -
Leaf Venation Architecture in Relation to Leaf Size Across Leaf Habits and Vein Types in Subtropical Woody Plants
por: Peng, Guoquan, et al.
Publicado: (2022)