Deep Learning-Based Plant Disease Detection Using a Cascaded ResNet50–EfficientNetB0 Architecture
Keywords:
CNN, Deep Learning, ResNet50 , EfficientNetB0Abstract
More than 70% of the people depends on the agriculture in India.Because of large area it is difficult for farmers to maintain crop regularly and decreases income due to plant disease.Plant disease detection is difficult in agriculture area.It affects on crop quality and quantity.Human can’t detect disease on infected leaf with naked eye.Disease detection is important to provide solution to prevent this disease.THe deep-learning method using Convolutional Neural Networks (CNNs),which has shown better results.By pipelining ResNet50 and EfficientNetB0,the system achieves more confidence and accuracy than traditional machine learning models.In Traditional methods visual inspection depends on human expert which requires more time and can be inaccurate.Best result can be achieved by using two models that is ResNet50 and EfficientNetB0 gives more confidence and accuracy than traditional machine learning.No human intervention required.Plant disease detection using Convolutional Neural Network (CNN’s) gives better result.This technique classify plant species and dignose disease from leaf image and helps to protect crops and gives high output quality.
References
.
Published
Issue
Section
Copyright (c) 2026 Journal of Advanced Research in Modeling and Simulation
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
We, the undersigned, give an undertaking to the following effect with regard to our article entitled
“_______________________________________________________________________________________________________________________________________________________________________________
________________________________________________________________________________” submitted for publication in (Journal title)________________________________________________ _______________________________________________________Vol.________, Year _________:-
1. The article mentioned above has not been published or submitted to or accepted for publication in any form, in any other journal.
2. We also vouchsafe that the authorship of this article will not be contested by anyone whose name(s) is/are not listed by us here.
3. I/We declare that I/We contributed significantly towards the research study i.e., (a) conception, design and/or analysis and interpretation of data and to (b) drafting the article or revising it critically for important intellectual content and on (c) final approval of the version to be published.
4. I/We hereby acknowledge ADRs conflict of interest policy requirement to scrupulously avoid direct and indirect conflicts of interest and, accordingly, hereby agree to promptly inform the editor or editor's designee of any business, commercial, or other proprietary support, relationships, or interests that I/We may have which relate directly or indirectly to the subject of the work.
5. I/We also agree to the authorship of the article in the following sequence:-
Authors' Names (in sequence) Signature of Authors
1. _____________________________________ _____________________________________
2. _____________________________________ _____________________________________
3. _____________________________________ _____________________________________
4. _____________________________________ _____________________________________
5. _____________________________________ _____________________________________
6. _____________________________________ _____________________________________
7. _____________________________________ _____________________________________
8. _____________________________________ _____________________________________
Important
(I). All the authors are required to sign independently in this form in the sequence given above. In case an author has left the institution/ country and whose whereabouts are not known, the senior author may sign on his/ her behalf taking the responsibility.
(ii). No addition/ deletion/ or any change in the sequence of the authorship will be permissible at a later stage, without valid reasons and permission of the Editor.
(iii). If the authorship is contested at any stage, the article will be either returned or will not be
processed for publication till the issue is solved.
