Diagnosis of Swine Diseases by Image Feature Extraction Methods and Automatic Classification

Abstract

      In Viet Nam, the swine industry is ranked as leading position in animal husbandry. Due to disease problems, the swine industry often faces with a lot of difficulties and suffers great loss every year. Hence, the diagnosis of the diseases for treatment and prevention in time is extremely necessary. This paper proposes a model for diagnosis of swine diseases using image feature extraction methods and automatic classification. In this model, we also used some image feature extraction methods to evaluate the classification effectiveness of each method on test dataset. The experimental results of an image feature extraction method that we used with classification accuracy over 84% showed that our model can be employed effectively in practice.