A Conceptual Framework for the Development of Data Acquisition and Integration System for the Dairy Industry

Data acquisition and integration are vital aspects of circular industrial initiatives and help industries develop balanced coordination with other stakeholders and commitment to circular standards. Small and medium-sized enterprises hesitate to implement the necessary automation and information collection process because of high investment issues. The dairy industry does have a growing need for precise process information. The literature points toward the need for proper data management. This research aims to develop a conceptual model for data acquisition and integration for the dairy industry. A theoretical framework is proposed for data acquisition and integration in the dairy industry based on Big Data Analytics (BDA) and the Internet of Things (IoT). The model will help monitor, collect, manage, and analyze information flow in the dairy supply chain. It gives the industry direct access to IoT technology for collecting real-time data on essential quality parameters like pH, temperature, etc. The model will also help improve the data management process in the internal and external context of data sharing. Implementation of such a system is necessary nowadays to improve food safety and quality, especially in the Indian context. The findings indicate that effective implementation of the developed model will transform the dairy industry including enhancement of dairy operations, transparent supply chain, effective data management, forecasting, and many other value additions in dairy management.