Abstract

Agriculture is the primary source of income for 75% of Bangladesh’s rural population. The agro-based food industry faces Supply Chain Management (SCM) issues, including inadequate infrastructure, insufficient logistics, and limited access to accurate information. Big data can help overcome these challenges by providing precise and up-to-date information for decisionmaking procedures. This study aims to develop industrial application frameworks to harness big data’s power to solve agro-food supply chain problems in Bangladesh. A conceptual big data architecture model is proposed to address the problems faced by all stakeholders, including farmers, processors, wholesalers, and retailers. The proposed model will contribute to the knowledge on big data’s application to supply chain management and offer recommendations for enhancing Bangladesh’s agro-based food sector.

Keywords: Agriculture, Big data, Agro food, Supply chain management, Data analytics Architecture, Machine learning