AI-Driven Banana Leaf Disease Detection Using Deep Learning Models
Keywords:
Agricultural Technology, Convolutional Neural Networks (CNNs), Deep Learning, MobileNetV2, EfficientNet, DenseNet.Abstract
The stability of the global food supply and agricultural economies is critically dependent on crop health, which is persistently threatened by a variety of plant diseases. To safeguard yields, minimize excessive pesticide use, and promote sustainable cultivation, the implementation of rapid and precise disease identification systems is paramount. Conventional techniques that depend on visual inspection by agronomists are not only slow and subjective but also unfeasible for widespread monitoring. The rise of sophisticated artificial intelligence (AI) and deep learning has now enabled the development of automated, non-destructive diagnostic tools using computer vision. This study conducts a detailed comparative assessment of several deep learning models tailored to detect specific, high-impact diseases in banan plants namely Black Sigatoka, Yellow Sigatoka, Panama Disease, and Potassium Deficiency while also categorizing healthy leaves. We trained and evaluated a suite of architectures, including a custom Convolutional Neural Network (CNN), MobileNetV2, EfficientNet, and DenseNet, on a meticulously prepared dataset of leaf imagery. Our findings indicate that MobileNetV2 outperformed other models, attaining superior classification accuracy and a consistent balance between precision and recall across all disease categories. This highlights its suitability as an efficient and dependable framework for automated plant disease diagnosis. The research confirms that AI-powered systems can offer farmers a practical, real-time solution for crop health monitoring, facilitating informed agricultural management and reinforcing the principles of precision agriculture
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.
