A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer
Abstract Recently, scientists have widely utilized Artificial Intelligence (AI) approaches in intelligent agriculture to increase the productivity of the agriculture sector and overcome a wide range of problems. Detection and classification of plant diseases is a challenging problem due to the vast...
Saved in:
Main Authors: | Sherihan Aboelenin, Foriaa Ahmed Elbasheer, Mohamed Meselhy Eltoukhy, Walaa M. El-Hady, Khalid M. Hosny |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01764-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Epilepsy Diagnosis from EEG Signals Using Continuous Wavelet Transform-Based Depthwise Convolutional Neural Network Model
by: Fırat Dişli, et al.
Published: (2025-01-01) -
An efficient convolution neural network method for copy-move video forgery detection
by: Mohamed Meselhy Eltoukhy, et al.
Published: (2025-01-01) -
Deep learning and explainable AI for classification of potato leaf diseases
by: Sarah M. Alhammad, et al.
Published: (2025-02-01) -
Hyperspectral image classification method based on multi-scale proximal feature concatenate network
by: Hongmin GAO, et al.
Published: (2021-02-01) -
Experiments on image data augmentation techniques for geological rock type classification with convolutional neural networks
by: Afshin Tatar, et al.
Published: (2025-01-01)