학술논문

Lumpy Skin Disease Virus Detection on Animals Through Machine Learning Method
Document Type
Conference
Source
2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC) Secure Cyber Computing and Communication (ICSCCC), 2023 Third International Conference on. :481-486 May, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Measurement
Economics
Computer viruses
Animals
Static VAr compensators
Machine learning
Production
Lumpy Skin Disease
Machine Learning Classifier
SVC
Language
Abstract
LSDV is a lumpy skin virus. Lumpy viruses in Cattle from Asia and Africa have been shown to be the viruses that cause lumpy skin infection, sheep pox, and goat pox, respectively. The lumpy virus is a high fever of the primary symptom of the illness, which frequently leads to chronic debility, decreased milk production, stunted growth, infertility, abortion, and even once-in-a-while death. The virus has significant economic ramifications since it frequently causes chronic skin damage in animals, affecting the fair value of their hide. Dataset collection was measured with methodology LRC, DTC, RFC, XGBC, SVC, and some methods using Machine learning with high accuracy in predicting. All of the classifiers have been evaluated using machine learning methods, and performance metrics have been calculated. In conclusion, the livestock sectors around the world are seriously threatened by the serious animal health issue known as LSDV. The suggested approach supports all other classifiers, including the Vector Classifier, in terms of performance parameters like F1-score and accuracy.