Tuncay ErcanAhmed Khazal YounisErcan, TuncayAl Azzawi, Ahmed Khazal2025-10-062019227830912278-309110.30534/ijatcse/2019/2181.220192-s2.0-85066319281https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066319281&doi=10.30534%2Fijatcse%2F2019%2F2181.22019&partnerID=40&md5=e89e6c7e2e7c58acbc92a66d47e9c65ahttps://gcris.yasar.edu.tr/handle/123456789/9481https://doi.org/10.30534/ijatcse/2019/2181.22019The use of information technologies in the implementation of industry 4.0 applications has naturally attracted the attention of many entrepreneurs and the business community. Industry 4.0 applications enabled cost reduction and efficiency in Industrial production systems. However there are difficulties in the process of reliable data collection integration and analysis of production-related data. The authors propose FPGA-based hardware and ANFIS software-driven intelligent algorithms to use temperature and humidity sensor test data for these processes. This approach achieves a significant performance and resource utilization rate in Industrial IoT systems and shows 55% decrease in the amount of HW resources in FPGA. © 2019 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessAnfis, Fpga, Industry 4.0, IotANFISFPGAIndustry 4.0IoTArticle