Paper Key : IRJ************460
Author: Sanika Suresh Jadhav
Date Published: 17 Oct 2023
Abstract
The lumpy skin disease is the most viral disease in the cattle and water buffalo. Cattle for milk may be infected by the lumpy skin disease. This disease is generally found in India, Russia, and Egypt. The lumpy skin disease mostly covers a large part of the body. This disease was first identified by Egypt. Lumpy skin disease is caused by biting insects and also viral diseases. The virus is spread by the saliva, milk, nasal discharge and direct contact with the skin lesions or by the infected animals. There are two methods for the control of this disease. They are vaccinations and rewarding afflicted creatures. The purpose of this paper is to evaluate lumpy skin disease. In 1929, the first case of lumpy skin disease was found in Zambia. After that, it was gradually expanded, the Middle east, and Central Asia. In todays era, ML algorithms are highly available and valuable for data collection and visualization. Machine learning algorithms are powerful tools available for this type of disease detection. Earlier lumpy skin disease detection is crucial for the control and management of the disease. This research paper aims to find the various applications for the detection. This disease has significant economic and is highly contagious.