Blockchain Papers

JAUS Jayakody, SMMS Jayawardhana, Yashodha Jayasundara, PRHNG Thilakarathne

The fast-developing Industry 4.0 has brought about shifts into our food and nutrition systems with automation, data analytics and digital connectivity. This systematic review investigates how IoT, AI, robotics and blockchain interact with each other on the relation between food systems and safety, traceability and personalized nutrition. In accordance with the PRISMA framework, 68 studies (2013–2025) were synthesized across food production, processing and nutrition settings. Results indicate that Industry 4.0 technologies increase transparency, save 20-40% wastage, and make precision nutrition possible through predictive analytics but some obstacles exist such as cost, infrastructure and regulation. This review presents a cross-sectorial view of digital transformation in food and nutrition systems and identifies research priorities in the path towards human-AI collaboration, sustainable innovation in Industry 5.0.

Durga Devi

This study examines how data-driven decision-making and information systems shape supply chain efficiency, sustainability practices, and technological integration in an urban agriculture enterprise, with a focus on rejection and redistribution procedures as a decision-support mechanism for waste management. The objectives were to assess how real-time monitoring tools, IT-based order-processing platforms, and other information systems support supply chain and sustainability decision-making, and how such systems inform the firm's waste-management strategy. A quantitative approach was adopted, stratifying 100 stakeholders consumers, suppliers, farm operators, and distribution partners using structured questionnaires, with descriptive statistics applied to assess performance across key decision areas. A purposively selected agribusiness enterprise committed to supply chain performance was found to have moderate-to-high efficacy in timely delivery management, real-time monitoring tools, and order-processing IT platforms that collectively support operational decision-making. Sustainability is improved through decisions favouring biodegradable packaging and local, seasonal sourcing. Technological integration, including transparency mechanisms and smart packaging, informs the firm's decision processes, although blockchain adoption remains limited in practice. Effective rejection and redistribution decision processes reduce waste, divert surplus to productive channels, and directly support the company's zero-waste objectives. The findings show that supply chain excellence and environmental responsibility are mutually reinforcing when decision-making is supported by the right information systems: biodegradable packaging, in-house waste-management systems, and selective use of emerging technologies collectively strengthen operational performance. By embedding data-driven decision-support at every stage of its supply chain, the enterprise offers a model for responsible, information-systems-enabled agritech decision-making that balances efficiency, food safety, and long-term environmental sustainability.