Tuning of Hyperparameters of Multi-Hidden Layer Extreme Learning Machine in the Diagnosis of Lumpy Skin Disease

Lumpy skin disease still poses a threat to cattle production; this is testified by a recent event in India in 2022 in which more than 1,00,000 animals died. Other related impacts on the coping strategies to this study are diagnostic tests developed by artificial intelligence for early application. Management of LSD outbreaks is therefore relevant to make sure that the livestock sector continues to have positive responses at reduced costs. Lumpy skin disease can still be detected in calves by feature extraction of 0. 959% using Multi-hidden layer extreme machine learning and Inception of ResNet-v2; it thus opens the diagnosis potentiality and nearly multiplies the real-time for a test and biopsy. This study also depicts how Artificial intelligence can act on superior measures of diseases that affect agricultural production through new forms of learning.