Cargando…
A robust deep learning approach for tomato plant leaf disease localization and classification
Tomato plants' disease detection and classification at the earliest stage can save the farmers from expensive crop sprays and can assist in increasing the food quantity. Although, extensive work has been presented by the researcher for the tomato plant disease classification, however, the timel...
Autores principales: | Nawaz, Marriam, Nazir, Tahira, Javed, Ali, Masood, Momina, Rashid, Junaid, Kim, Jungeun, Hussain, Amir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633769/ https://www.ncbi.nlm.nih.gov/pubmed/36329073 http://dx.doi.org/10.1038/s41598-022-21498-5 |
Ejemplares similares
-
A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images
por: Masood, Momina, et al.
Publicado: (2021) -
Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning based CenterNet Model
por: Nazir, Tahira, et al.
Publicado: (2021) -
DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification
por: Albahli, Saleh, et al.
Publicado: (2022) -
Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network
por: Albattah, Waleed, et al.
Publicado: (2022) -
An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization
por: Nawaz, Marriam, et al.
Publicado: (2022)