Design of traceability system models for potato chips agro-industry based on fuzzy system approach

Identification of recorded information is the most important requirement for developing an effective traceability system. This paper aimed to develop technology (IT)-based system combined with intelligent in potato chips agro-industry. In this paper, we present a business process agro-industry which consists three activities, i.e. raw materials receiving, processing, and warehousing final products. First all, architecture was developed. To computational models, quality, food safety environment criteria using fuzzy inference (FIS) adaptive neuro (ANFIS), decision support (IDSS) model android front end. An internal capture point identified each step corresponding be determined. Furthermore, prototype IDSS developed represent method modeling on products, processes, transformation at node study, systems have been making quality control good agricultural practices.