GLOBAL AGROVET
RESEARCH CONFERENCE - 2K26
7-8 October 2026
UAEPOWERED BY ARCC JOURNALS
POWERED BY ARCC JOURNALS
22 December 2025
Traceability Systems in Agriculture Using AI
22 December 2025
In today’s food systems, transparency and trust are more important than ever. Artificial Intelligence (AI)-based traceability systems are transforming agriculture by enabling end-to-end tracking of agricultural produce from farm to consumer.
AI-powered traceability uses data from sensors, satellite imagery, QR codes, and digital records to monitor every stage of the supply chain—production, harvesting, storage, processing, and distribution. By analyzing this data in real time, AI ensures accurate documentation, faster identification of issues, and improved compliance with food safety standards.
These systems help detect contamination sources, reduce food fraud, minimize post-harvest losses, and enhance market access for farmers. Consumers benefit from reliable information on product origin, quality, and sustainability, while policymakers and agribusinesses gain better oversight and risk management. By strengthening accountability and efficiency, AI-enabled traceability systems play a vital role in building safe, sustainable, and resilient agricultural value chains.
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