ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title

Groundnut Diseases Detection

Authors

MANOJ KUMARI , MITI DESAI

Keywords

Plant Disease Detection; Agriculture; Machine Learning; Artificial Intelligence; Image Processing; Convolutional Neural Networks; Crop Health Monitoring; Computer Vision

Abstract

Agriculture plays a critical role in global food security and the economy. However, one of the major challenges in agriculture is the early detection and control of plant diseases, which, if left untreated, can lead to significant yield losses and reduced crop quality. Traditionally, plant disease detection relies on manual inspection by agricultural experts, which is often time-consuming, subjective, and not always accessible, especially in rural or underdeveloped regions. With the advancement of artificial intelligence (AI), particularly machine learning (ML), there has been a growing interest in applying these technologies to automate the process of plant disease detection. Machine learning techniques allow systems to learn from large datasets of plant images and accurately identify disease symptoms, often even before they become visible to the naked eye. In recent years, image-based plant disease detection using machine learning has gained popularity due to the availability of large datasets, advancements in computing power, and the development of powerful algorithms such as Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs), and Random Forests. These models can be trained to recognize complex patterns and classify different types of diseases based on visual symptoms like color, texture, and shape of the affected leaves or fruits.

How To Cite

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IJCRT — journal style
"Groundnut Diseases Detection", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 12, page no.e343-e349, December 2025, Available :https://ijcrt.org/papers/IJCRT2512499.pdf
APA — 7th edition
KUMARI, M., & DESAI, M. (2025). Groundnut Diseases Detection. International Journal of Creative Research Thoughts, 13(12), e343-e349. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512499
MLA — 9th edition
KUMARI, MANOJ, and MITI DESAI. "Groundnut Diseases Detection." International Journal of Creative Research Thoughts, vol. 13, no. 12, 2025, pp. e343-e349, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512499.
Chicago — 17th, bibliography
KUMARI, MANOJ, and MITI DESAI. "Groundnut Diseases Detection." International Journal of Creative Research Thoughts 13, no. 12 (2025): e343-e349. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512499.
Harvard — author–date
KUMARI, M. and DESAI, M. (2025) 'Groundnut Diseases Detection', International Journal of Creative Research Thoughts, 13(12), pp. e343-e349. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512499
IEEE — numbered reference
M. KUMARI and M. DESAI, "Groundnut Diseases Detection," IJCRT, vol. 13, no. 12, pp. e343-e349, Dec. 2025.
Vancouver — biomedical
KUMARI M, DESAI M. Groundnut Diseases Detection. IJCRT. 2025 Dec;13(12):e343-e349.
AMA — 11th edition
KUMARI M, DESAI M. Groundnut Diseases Detection. IJCRT. 2025;13(12):e343-e349. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512499
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2512499, author = {MANOJ KUMARI and MITI DESAI}, title = {Groundnut Diseases Detection}, journal = {International Journal of Creative Research Thoughts}, volume = {13}, number = {12}, pages = {e343-e349}, year = {2025}, month = {December}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512499} }
RIS — EndNote, RefWorks
TY - JOUR AU - KUMARI, MANOJ AU - DESAI, MITI TI - Groundnut Diseases Detection T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 13 IS - 12 PY - 2025 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512499 SP - e343-e349 ER -

Issue

Volume 13 Issue 12, December-2025
Pages : e343-e349

Article Information

Pages
e343-e349
Published
December 2025
Registration ID
IJCRT_298859
Published Paper ID
IJCRT2512499
Research Area
Science and Technology
Author Type
Indian Author
Location
VADODARA, GUJARAT, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
176

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Registration ID IJCRT_298859

About Publisher

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

© 2025 — 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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