Real-Time Oryza Sativa Disease Diagnosis using a Hybrid Deep Learning and Edge Computing Framework

Author:

Shanthi Rani M. Mary1,Arockia Jackuline Joni J.2

Affiliation:

1. The Gandhigram Rural Institute (Deemed To Be University),Department of Computer Science & Applications,Dindigul

2. Fatima College,Department of Computer Applications,Madurai,MaryLand

Publisher

IEEE

Reference25 articles.

1. Machine learning for rice leaf disease classification was supported by pretrained deep neural network-based features selection;Thompson;Farming,2023

2. A systematic review on the detection and classification of rice plant diseases using deep learning models;Agrawal;Rev. J. Crit,2020

3. Comparison of CNN-based deep learning architectures for rice diseases classification

4. Dual-phase convolution neural networks are the basis for the detection of rice disease;Ahmed;Regional Studies Bull,2023

5. Rice Leaf Diseases Classification Using Discriminative Fine Tuning and CLR on EfficientNet

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