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A total of 25.9% of global jobs are occupied by the agriculture industry. As the global population grows, demand for both livestock and food production is growing rapidly. Many farmers live in rural parts of the nation and are in total doubt as to whether or not their livestock and crops are healthy. As a precautionary measure, they contact veterinary physicians to stop the transmission of illnesses to other healthy animals, which is counterproductive to their palatable fitness. By offering a cloud-based method to decide whether animals are safe or unsafe, this research aims to solve this issue. This research also aims to use supervised learning to conduct real-time classification, along with elucidating the device architecture that classifies photographs of diseased animals using the k-nearest neighbor (KNN) algorithm. A web cloud-based expert system was developed for the detection of swine diseases in pigs. MySQL was …