Work

Next Generation Food Quality and Safety Assessment in Food Industry; from the current single measurement to Data Science and Internet of Food (things) approach

Year: 2025

Type: conference-paper

Abstract: Ensuring food safety and quality is a major challenge in the agri-food industry, requiring innovative solutions for transparency, efficiency, and risk mitigation. Agritrack leverages AI-driven Blockchain technology to enhance traceability, quality control, and food integrity throughout the supply chain, focusing on perishable foods like fish, dairy, and meat. Using IoT sensors, AI-powered analytics, and Process Analytical Technology (PAT), Agritrack automates data collection, detects contaminants, and optimizes food value chains in real-time. This modular platform strengthens consumer trust, reduces food losses, and provides cost-effective traceability for SMEs, revolutionizing food safety management from farm to fork.

DOI: 10.63438/tcsp1829

Authors: George Nychas, Vlasis Tsezos

Institution: Agricultural University of Athens

Language: English

Topic: Food Supply Chain Traceability

Subfield: Food Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure, Responsible consumption and production

Open Access status: gold

OpenAlex ID: W4409544747

FWCI:

Cites:

Cited by:

Related to: 10