Detection of citrus diseases using a fuzzy neural network
The objective is to use AI techniques to build a citrus image recognition system and to produce an integrated program that will assist plant protection professionals in determining whether the disease is infected and early detection for the purpose of taking the necessary preventive measures and red...
Guardado en:
Autores principales: | Huda Taher, Baydaa Khaleel |
---|---|
Formato: | article |
Lenguaje: | AR EN |
Publicado: |
College of Education for Pure Sciences
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/499960532ae24e25b782095ca869f819 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet
por: Elshan Mustafayev, et al.
Publicado: (2021) -
Semi-Automatic Extraction of Rural Roads under the Constraint of Combined Geometric and Texture Features
por: Hai Tan, et al.
Publicado: (2021) -
HUMAN ACTIVITY DETECTION AND ACTION RECOGNITION IN VIDEOS USING CONVOLUTIONAL NEURAL NETWORKS
por: Jagadeesh Basavaiah, et al.
Publicado: (2020) -
Effect on speech emotion classification of a feature selection approach using a convolutional neural network
por: Ammar Amjad, et al.
Publicado: (2021) -
Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture
por: Sergio Saponara, et al.
Publicado: (2021)