Lumpy Skin Disease Prediction Using Machine Learning

Cow diseases are a source of worry for the farmers and cow farm owners. Certain diseases in animals must be recognized and diagnosed when they are still in the early stages. Lumpy Skin Disease is a cow disease that must be detected at the earliest stage. If lumpy skin disease is not effectively treated, it can result in significant financial losses for the farm animal business. The lumpy skin virus that causes primary illness is a classification under Poxviridae family. The Neethling strain is the main cause of lumpy skin disease, and other signs include a few modest varieties of confined skin nodules. The mucous membranes of internal organs like the reproductive and respiratory systems are also affected by this disease. This disease cannot be predicted by the people directly, after consulting the doctor only whether the cow is affected by the disease or not can be predicted. The delay in finding the disease will lead to severe problems for the cow and lead to death of the cow. Comparison made with the two different architectures namely Convolutional Neural Network and DenseNet architecture, after calculating evaluation metrics it is found that Convolutional Neural Network gives the accuracy of 89% and the DenseNet architecture gives the accuracy of 96% which is greater than the Convolutional Neural Network architecture.