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Diagnosing animal disease quickly and accurately has the economic effectiveness. But livestock breeding farms usually have relatively poor condition of disease diagnosis and animal disease cannot be diagnosed quickly and accurately. Traditional diagnostic method is usually restricted by some subjective factors. The accuracy of diagnosis is closely related to the level of medical skill. In order to resolve the rapid and accurate diagnosis of animal disease, this paper put forward a model of animal disease intelligent diagnosis which was based on support vector machine (SVM). In the model, the digital data of animal disease symptoms are taken as inputs of the disease classifier and used the classifier of the model to classify (diagnose) the sheep diseases. The results showed that the model is able to carry out animal diseases diagnosis more accurately, rapidly and have good predicality on the condition of small samples and provide a new approach for animal disease diagnosis.