Design of Traceability and Forgery Prevention Management System for Agricultural Products Breeding
- 10.2991/meici-18.2018.238How to use a DOI?
- Agricultural product breeding; Traceability; Anti-counterfeiting; Radio frequency identification
In recent years, endless accidents of quality and safety of agricultural products have caused confusion and uneasiness among consumers. The problem of false seeds, which are harmful to farmers and governments at all levels, has always been the source of trouble to farmers. False seeds often lead to farmers' grain harvesting, and do great harm to society. In order to improve the quality of agricultural products, the electronic labels were made into high-imitation electronic seeds by means of radio frequency identification, Internet of Things and other information technologies for special commodities such as corn, wheat and rice. A high-imitation electronic seed was packed in each seed bag, and the electronic labels were coded to realize the anti-counterfeiting of seeds. Fake, anti fleeing, quality tracing, information collection, etc. The design of seed quality traceability and anti-counterfeiting system with the information chain of seed production and processing activities as the core can improve the standardization of seed production, establish a standardized market environment, and safeguard the vital interests of seed enterprises and agricultural growers.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zuliang Wang AU - Haoxiang Zhang PY - 2018/12 DA - 2018/12 TI - Design of Traceability and Forgery Prevention Management System for Agricultural Products Breeding BT - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018) PB - Atlantis Press SP - 1185 EP - 1188 SN - 1951-6851 UR - https://doi.org/10.2991/meici-18.2018.238 DO - 10.2991/meici-18.2018.238 ID - Wang2018/12 ER -