RAI-Net: Tomato Plant Disease Classification Using Residual-Attention-Inception Network | IEEE Journals & Magazine | IEEE Xplore

RAI-Net: Tomato Plant Disease Classification Using Residual-Attention-Inception Network


This work proposes RAI-Net, a deep learning model combining Residual, Attention, and Inception modules for accurate tomato leaf disease detection. Leveraging channel atte...

Abstract:

Pests and pathogens cause significant losses to tomato crop yield, resulting in billion-dollar economic impact worldwide. Early and accurate detection of tomato plant dis...Show More

Abstract:

Pests and pathogens cause significant losses to tomato crop yield, resulting in billion-dollar economic impact worldwide. Early and accurate detection of tomato plant disease is important for an effective intervention and improved crop yield. In this work, a deep learning-based RAI (Residual-Attention-Inception)-Net model has been proposed for an effective feature extraction by deploying channel attention on the output obtained from fine-tuned ResNet18 model for improved feature extraction. Inception module has been integrated with the ResNet18 model augmented with channel attention module enhances the multi-scale feature analysis capability of the proposed model for tomato plant leaf disease detection task. The interpretability of the proposed network has been improved with the Gradient-weighted Class Activation Mapping (Grad-CAM) method which highlights the regions focused by the proposed RAI-Net model in making its predictions. RAI-Net achieves an accuracy of 97.88% on a test set comprising 4595 images across ten different classes of tomato disease, demonstrating its effectiveness in automated detection of tomato leaf diseases.
This work proposes RAI-Net, a deep learning model combining Residual, Attention, and Inception modules for accurate tomato leaf disease detection. Leveraging channel atte...
Published in: IEEE Access ( Volume: 13)
Page(s): 64832 - 64840
Date of Publication: 10 April 2025
Electronic ISSN: 2169-3536
Author image of Ritesh Maurya
Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India
Ritesh Maurya received the B.Tech. degree in computer science and engineering and the M.Tech. degree in computer science and engineering from the ABV-Indian Institute of Information Technology and Management, and the Ph.D. degree in computer science and engineering from the Centre for Advanced Studies, Dr. A. P. J. Abdul Kalam Technical University, with a focus on machine learning and deep learning applications in biology...Show More
Ritesh Maurya received the B.Tech. degree in computer science and engineering and the M.Tech. degree in computer science and engineering from the ABV-Indian Institute of Information Technology and Management, and the Ph.D. degree in computer science and engineering from the Centre for Advanced Studies, Dr. A. P. J. Abdul Kalam Technical University, with a focus on machine learning and deep learning applications in biology...View more
Author image of Lucky Rajput
Department of Computer Science and Engineering, Amity University, Noida, India
Lucky Rajput received the B.Sc. degree in physics and mathematics, in 2018, and the master’s degree in physics, in 2021. She is currently pursuing the M.Tech. degree in data science from Amity University, Noida. Her research interests include machine learning and deep learning.
Lucky Rajput received the B.Sc. degree in physics and mathematics, in 2018, and the master’s degree in physics, in 2021. She is currently pursuing the M.Tech. degree in data science from Amity University, Noida. Her research interests include machine learning and deep learning.View more
Author image of Satyajit Mahapatra
Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
Satyajit Mahapatra received the B.Tech. degree in electronics and telecommunication engineering from the Biju Patnaik University of Technology, the M.Tech. degree in electronics and communication engineering from Siksha ‘O’ Anusandhan University, and the Ph.D. degree in electronics and communication engineering from the Birla Institute of Technology, Mesra, with a focus on machine learning and signal processing for genomi...Show More
Satyajit Mahapatra received the B.Tech. degree in electronics and telecommunication engineering from the Biju Patnaik University of Technology, the M.Tech. degree in electronics and communication engineering from Siksha ‘O’ Anusandhan University, and the Ph.D. degree in electronics and communication engineering from the Birla Institute of Technology, Mesra, with a focus on machine learning and signal processing for genomi...View more

Author image of Ritesh Maurya
Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India
Ritesh Maurya received the B.Tech. degree in computer science and engineering and the M.Tech. degree in computer science and engineering from the ABV-Indian Institute of Information Technology and Management, and the Ph.D. degree in computer science and engineering from the Centre for Advanced Studies, Dr. A. P. J. Abdul Kalam Technical University, with a focus on machine learning and deep learning applications in biology and medicine. He has published research in esteemed journals, including IEEE, Wiley, Springer, and Elsevier. His research interests include machine learning and deep learning and its applications in diverse domains.
Ritesh Maurya received the B.Tech. degree in computer science and engineering and the M.Tech. degree in computer science and engineering from the ABV-Indian Institute of Information Technology and Management, and the Ph.D. degree in computer science and engineering from the Centre for Advanced Studies, Dr. A. P. J. Abdul Kalam Technical University, with a focus on machine learning and deep learning applications in biology and medicine. He has published research in esteemed journals, including IEEE, Wiley, Springer, and Elsevier. His research interests include machine learning and deep learning and its applications in diverse domains.View more
Author image of Lucky Rajput
Department of Computer Science and Engineering, Amity University, Noida, India
Lucky Rajput received the B.Sc. degree in physics and mathematics, in 2018, and the master’s degree in physics, in 2021. She is currently pursuing the M.Tech. degree in data science from Amity University, Noida. Her research interests include machine learning and deep learning.
Lucky Rajput received the B.Sc. degree in physics and mathematics, in 2018, and the master’s degree in physics, in 2021. She is currently pursuing the M.Tech. degree in data science from Amity University, Noida. Her research interests include machine learning and deep learning.View more
Author image of Satyajit Mahapatra
Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
Satyajit Mahapatra received the B.Tech. degree in electronics and telecommunication engineering from the Biju Patnaik University of Technology, the M.Tech. degree in electronics and communication engineering from Siksha ‘O’ Anusandhan University, and the Ph.D. degree in electronics and communication engineering from the Birla Institute of Technology, Mesra, with a focus on machine learning and signal processing for genomic data analysis. He is currently an Assistant Professor with the Department of Information and Communication Technology, Manipal Institute of Technology, MAHE. He has published research in esteemed journals, including IEEE, Oxford University Press, and Wiley. His research interests include applied machine learning, image processing, and genomic signal processing.
Satyajit Mahapatra received the B.Tech. degree in electronics and telecommunication engineering from the Biju Patnaik University of Technology, the M.Tech. degree in electronics and communication engineering from Siksha ‘O’ Anusandhan University, and the Ph.D. degree in electronics and communication engineering from the Birla Institute of Technology, Mesra, with a focus on machine learning and signal processing for genomic data analysis. He is currently an Assistant Professor with the Department of Information and Communication Technology, Manipal Institute of Technology, MAHE. He has published research in esteemed journals, including IEEE, Oxford University Press, and Wiley. His research interests include applied machine learning, image processing, and genomic signal processing.View more

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