Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013
Pages117-121
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013 - Taichung, Taiwan, Province of China
Duration: 3 Jul 20135 Jul 2013

Publication series

NameProceedings - 2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013

Conference

Conference2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013
Country/TerritoryTaiwan, Province of China
CityTaichung
Period3/07/135/07/13

Keywords

  • Android
  • Cattle deaseases
  • Diagnosis
  • Fuzzy neural network
  • Mobile intelligent software

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