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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53471

Survey on Detecting Lumpy Skin Disease using Deep Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53471

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53471

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VAD

Vijaya Ashok. Dabade1

PDAN

Prof. Dhanshri Atmaram Nevase2

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Abstract

Lumpy Skin Disease is a viral illness in cattle that causes fever, skin nodules, swollen lymph nodes, and significant economic losses due to reduced productivity. Traditional detection methods, such as clinical inspection or lab tests, can be slow and often impractical in rural areas. This survey examines recent deep learning approaches for detecting LSD from cattle skin images. We compare architectures, preprocessing techniques, dataset choices, evaluation metrics, and deployment issues. Finally, we discuss existing limitations and suggest future directions to make LSD detection more reliable, generalizable, and usable in real‑world settings.

KEYWORDS

Intrusion Detection System NIDS Machine learning Convolutional Neural Network Host-based Intrusion Detection System.

Cite This Article

Vijaya Ashok. Dabade1, Prof. Dhanshri Atmaram Nevase2, "Survey on Detecting Lumpy Skin Disease using Deep Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53471

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Publication Date

4/10/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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