Developing Mobile Intelligent System for Cattle Disease Diagnosis and First Aid Action Suggestion

Animal husbandry is one of main concerns of agricultural development revitalization in Indonesia. The domestic products from this sector are yet to meet the domestics´ demands of meat and dairy products. Therefore, instead of continuously dependent on imported products, efforts on animal husbandry revitalization to stimulate the production growth from this sector are critically needed. The aim of this paper is to present the work of developing mobile intelligent system for cattle diseases diagnosis and first aid action suggestion system. The core intelligent engine of the system is developed using fuzzy neural network. In the sense of ubiquity of smartphones, the user interface is developed as mobile application under Android operating system. System testing over real-world cattle diagnosis medical data set and expert verification showed that the systems could diagnose correctly with validity 100% and average accuracy 96.37%. The experimental results also showed that frame base knowledge representation outperformed rule base knowledge representation.