ISSN2320-2882
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Paper Title

Early Detection Of Plant Diseases Using Image & Thermal Imaging

Authors

Sanjana Desai , Kolhal Manasi , Pandit Jayashri , Akash Mapari

Keywords

plant diseases, disease detection, thermal imaging,Image processing, machine learning, convolutional neural networks (CNNs), diseases detection, visual inspection, computer vision.

Abstract

Early detection of plant diseases is crucial for efficient crop management and maintaining global food security. This report investigates the application of image processing and thermal imaging technologies to identify plant diseases in their initial stages. Traditional methods of disease detection, which depends on visual assessments, can be slow and prone to bias. In contrast, advancements in computervision and remote sensing provide more rapid and objective assessments.

How To Cite

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IJCRT — journal style
"Early Detection Of Plant Diseases Using Image & Thermal Imaging", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 2, page no.1-7, February 2026, Available :https://ijcrt.org/papers/IJCRTBL02001.pdf
APA — 7th edition
Desai, S., Manasi, K., Jayashri, P., & Mapari, A. (2026). Early Detection Of Plant Diseases Using Image & Thermal Imaging. International Journal of Creative Research Thoughts, 14(2), 1-7. https://doi.org/10.56975/ijcrt.v14i2.301066
MLA — 9th edition
Desai, Sanjana, et al. "Early Detection Of Plant Diseases Using Image & Thermal Imaging." International Journal of Creative Research Thoughts, vol. 14, no. 2, 2026, pp. 1-7, https://doi.org/10.56975/ijcrt.v14i2.301066.
Chicago — 17th, bibliography
Desai, Sanjana, et al. "Early Detection Of Plant Diseases Using Image & Thermal Imaging." International Journal of Creative Research Thoughts 14, no. 2 (2026): 1-7. https://doi.org/10.56975/ijcrt.v14i2.301066.
Harvard — author–date
Desai, S. et al. (2026) 'Early Detection Of Plant Diseases Using Image & Thermal Imaging', International Journal of Creative Research Thoughts, 14(2), pp. 1-7. Available at: https://doi.org/10.56975/ijcrt.v14i2.301066
IEEE — numbered reference
S. Desai, K. Manasi, P. Jayashri and A. Mapari, "Early Detection Of Plant Diseases Using Image & Thermal Imaging," IJCRT, vol. 14, no. 2, pp. 1-7, Feb. 2026, doi: 10.56975/ijcrt.v14i2.301066.
Vancouver — biomedical
Desai S, Manasi K, Jayashri P, Mapari A. Early Detection Of Plant Diseases Using Image & Thermal Imaging. IJCRT. 2026 Feb;14(2):1-7. doi: 10.56975/ijcrt.v14i2.301066
AMA — 11th edition
Desai S, Manasi K, Jayashri P, Mapari A. Early Detection Of Plant Diseases Using Image & Thermal Imaging. IJCRT. 2026;14(2):1-7. doi:10.56975/ijcrt.v14i2.301066
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRTBL02001, author = {Sanjana Desai and Kolhal Manasi and Pandit Jayashri and Akash Mapari}, title = {Early Detection Of Plant Diseases Using Image & Thermal Imaging}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {2}, pages = {1-7}, year = {2026}, month = {February}, issn = {2320-2882}, doi = {10.56975/ijcrt.v14i2.301066}, url = {https://doi.org/10.56975/ijcrt.v14i2.301066} }
RIS — EndNote, RefWorks
TY - JOUR AU - Desai, Sanjana AU - Manasi, Kolhal AU - Jayashri, Pandit AU - Mapari, Akash TI - Early Detection Of Plant Diseases Using Image & Thermal Imaging T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 2 PY - 2026 SN - 2320-2882 DO - 10.56975/ijcrt.v14i2.301066 UR - https://doi.org/10.56975/ijcrt.v14i2.301066 SP - 1 EP - 7 ER -

Issue

Volume 14 Issue 2, February-2026
Pages : 1-7

Article Information

Pages
1-7
Published
February 2026
Registration ID
IJCRT_301066
Published Paper ID
IJCRTBL02001
Research Area
Science and Technology
Author Type
Indian Author
Location
India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
245
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About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

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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