ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Plant Disease Diagnosis Using Image Classifications
Authors
Clement Rajadurai D , Bharathi N , Jameel Ahamed J , Dr. S. Saravana Kumar
Keywords
Plant Disease Detection, Image Processing, Convolutional Neural Networks, TensorFlow, OpenCV, Precision Agriculture, Decision Support System.
Abstract
Agriculture remains the backbone of many economies, yet crop productivity is threatened by fast spreading plant diseases that often go unnoticed until serious damage occurs. Early and accurate detection is essential to protect yields, reduce losses, and support farmers in timely decisions. This project presents an integrated intelligent plant disease detection and monitoring system using image processing and machine learning on leaf images. OpenCV preprocessing enhances inputs by removing noise, improving contrast, normalizing pixels, and standardizing dimensions. A lightweight TensorFlow Lite CNN deployed in a Java environment enables fast reliable classification on resource constrained devices. The platform includes healthy leaf comparison for visual understanding and a progression module to assess improvement, worsening, or spread across sequential images. A community space supports experience sharing and guidance, while a government updates module delivers schemes, subsidies, and programs. Built with Java, Spring Boot, MySQL, TensorFlow Lite, and OpenCV, solution is robust, scalable, user friendly for real world agriculture, empowering farmers with accessible accurate diagnostics and decision support tools.
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IJCRT — journal style
"Plant Disease Diagnosis Using Image Classifications", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 3, page no.i123-i125, March 2026, Available :https://ijcrt.org/papers/IJCRT2603978.pdf
APA — 7th edition
D, C. R., N, B., J, J. A., & Kumar, S. S. (2026). Plant Disease Diagnosis Using Image Classifications. International Journal of Creative Research Thoughts, 14(3), i123-i125. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603978
MLA — 9th edition
D, Clement Rajadurai, et al. "Plant Disease Diagnosis Using Image Classifications." International Journal of Creative Research Thoughts, vol. 14, no. 3, 2026, pp. i123-i125, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603978.
Chicago — 17th, bibliography
D, Clement Rajadurai, et al. "Plant Disease Diagnosis Using Image Classifications." International Journal of Creative Research Thoughts 14, no. 3 (2026): i123-i125. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603978.
Harvard — author–date
D, C.R. et al. (2026) 'Plant Disease Diagnosis Using Image Classifications', International Journal of Creative Research Thoughts, 14(3), pp. i123-i125. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603978
IEEE — numbered reference
C. R. D, B. N, J. A. J and S. S. Kumar, "Plant Disease Diagnosis Using Image Classifications," IJCRT, vol. 14, no. 3, pp. i123-i125, Mar. 2026.
Vancouver — biomedical
D CR, N B, J JA, Kumar SS. Plant Disease Diagnosis Using Image Classifications. IJCRT. 2026 Mar;14(3):i123-i125.
AMA — 11th edition
D CR, N B, J JA, Kumar SS. Plant Disease Diagnosis Using Image Classifications. IJCRT. 2026;14(3):i123-i125. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603978
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2603978,
author = {Clement Rajadurai D and Bharathi N and Jameel Ahamed J and S. Saravana Kumar},
title = {Plant Disease Diagnosis Using Image Classifications},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {3},
pages = {i123-i125},
year = {2026},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603978}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - D, Clement Rajadurai
AU - N, Bharathi
AU - J, Jameel Ahamed
AU - Kumar, S. Saravana
TI - Plant Disease Diagnosis Using Image Classifications
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 3
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603978
SP - i123-i125
ER -
Issue
Volume 14 Issue 3,
March-2026
Pages : i123-i125
Article Information
- Pages
- i123-i125
- Published
- March 2026
- Registration ID
- IJCRT_303908
- Published Paper ID
- IJCRT2603978
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Trichy, Tamil Nadu, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 144
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603978
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2603978.pdf
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International Journal of Creative Research Thoughts
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2320-2882
ISSN
9.17
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2013
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No external funding was received for this study.
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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