Abstract: In order to design and develop a remote intelligent equine disease diagnosis and treatment system with a concise interface, which was convenient to carry, easy to maintain, suitable for the diagnosis of common clinical equine diseases. It could make up for the shortcomings of the lack of diagnostic experience of basic veterinarians, meet the professional needs of basic veterinarians and horse breeders for the diagnosis of common equine diseases, and assist them in the reasonable diagnosis and treatment of equine diseases. Based on the thinking mode of equine disease experts in the process of clinical diagnosis, the experiment adopted fuzzy logic theory to deal with confidence coefficient（CF）, evaluated the uncertainty of knowledge, and established a fuzzy reasoning model. Application of java programming language, combined with MySQL 5.7.3 database and SQLyog 10.0 database management tools was built for construction. By reasoning the clinical symptoms shown by the horse, disease data were measured to determine the disease and provide the corresponding pre-treatment plan. Through searching keywords, using the combination of text and picture data, the related information of horses was displayed in a paging list, and the functions of consulting equine news information and comprehensive inquiry of equine disease diagnosis and treatment were realized. According to the current situation of grassroots in China, the remote intelligent equine disease diagnosis and treatment system had a certain scientificity, which reduced the misdiagnosis rate and missed diagnosis rate of clinical diagnosis and treatment of equine disease, and improved the service quality of grassroots equine veterinarians. It indicated that the remote intelligent diagnosis and treatment system of equine disease could effectively improve the level of clinical diagnosis and treatment of equine disease, and provide a new idea for the development of diagnosis and treatment system of other animal diseases.