ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Detection of Weeds and Diseases in Crops Using Deep Neural Networks
Authors
Mr Pankaj Raghuwanshi , Mrs.Kiran Ankaley
Keywords
Weeds detection ,Plant disease identification, Crop yield reduction, Traditional detection methods, Deep neural networks (DNNs),Convolutional neural networks (CNNs,)Automated plant health monitoring ,Image-based detection ,Dataset challenges
Abstract
Weeds and plant diseases significantly reduce crop yield and quality worldwide. Traditional detection methods are labour-intensive, time-consuming, and prone to error. The emergence of deep neural networks (DNNs), especially convolutional neural networks (CNNs), has revolutionized automated plant health monitoring. This review paper comprehensively explores the use of DNNs for detecting weeds and diseases in crops, examining architectures, datasets, methodologies, and performance. We also discuss challenges such as data scarcity, environmental variability, and model deployment. Finally, future directions involving multimodal data, edge computing, and explainable AI are considered.
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IJCRT — journal style
"Detection of Weeds and Diseases in Crops Using Deep Neural Networks", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 8, page no.f374-f391, August 2025, Available :https://ijcrt.org/papers/IJCRT2508615.pdf
APA — 7th edition
Raghuwanshi, P., & Ankaley, M. K. (2025). Detection of Weeds and Diseases in Crops Using Deep Neural Networks. International Journal of Creative Research Thoughts, 13(8), f374-f391. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2508615
MLA — 9th edition
Raghuwanshi, Pankaj, and Mrs.Kiran Ankaley. "Detection of Weeds and Diseases in Crops Using Deep Neural Networks." International Journal of Creative Research Thoughts, vol. 13, no. 8, 2025, pp. f374-f391, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2508615.
Chicago — 17th, bibliography
Raghuwanshi, Pankaj, and Mrs.Kiran Ankaley. "Detection of Weeds and Diseases in Crops Using Deep Neural Networks." International Journal of Creative Research Thoughts 13, no. 8 (2025): f374-f391. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2508615.
Harvard — author–date
Raghuwanshi, P. and Ankaley, M.K. (2025) 'Detection of Weeds and Diseases in Crops Using Deep Neural Networks', International Journal of Creative Research Thoughts, 13(8), pp. f374-f391. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2508615
IEEE — numbered reference
P. Raghuwanshi and M. K. Ankaley, "Detection of Weeds and Diseases in Crops Using Deep Neural Networks," IJCRT, vol. 13, no. 8, pp. f374-f391, Aug. 2025.
Vancouver — biomedical
Raghuwanshi P, Ankaley MK. Detection of Weeds and Diseases in Crops Using Deep Neural Networks. IJCRT. 2025 Aug;13(8):f374-f391.
AMA — 11th edition
Raghuwanshi P, Ankaley MK. Detection of Weeds and Diseases in Crops Using Deep Neural Networks. IJCRT. 2025;13(8):f374-f391. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2508615
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2508615,
author = {Pankaj Raghuwanshi and Mrs.Kiran Ankaley},
title = {Detection of Weeds and Diseases in Crops Using Deep Neural Networks},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {8},
pages = {f374-f391},
year = {2025},
month = {August},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2508615}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Raghuwanshi, Pankaj
AU - Ankaley, Mrs.Kiran
TI - Detection of Weeds and Diseases in Crops Using Deep Neural Networks
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 8
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2508615
SP - f374-f391
ER -
Issue
Volume 13 Issue 8,
August-2025
Pages : f374-f391
Article Information
- Pages
- f374-f391
- Published
- August 2025
- Registration ID
- IJCRT_292706
- Published Paper ID
- IJCRT2508615
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- ujjian, Madhya Pradesh, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 264
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2508615
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2508615.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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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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