Blockchain Traceability Platform Based on Green Agricultural Products

• Published in: Mobile Multimedia Communications pp. 156 - 164
• Main Authors: Tian, Xiao, Yao, Yu-Ge, Xu, Hui-Tong, Xie, Ying-Jie, Wei, Li-Jie, Xie, Guo-jie, Wu, Ting, Gao, Yan-Wei
• Format: Book Chapter
• Language: English
• Published: Cham Springer Nature Switzerland
• Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
• Subjects: Big data technology; BlockChain; Smart agriculture; Software platform
• ISBN: 9783031239014; 3031239016
• ISSN: 1867-8211; 1867-822X
• DOI: 10.1007/978-3-031-23902-1_12

This paper designs and completes a blockchain traceability platform based on green agricultural products. Using item coding technology, cryptography technology, blockchain, big data and other new generation information technologies, green agricultural products (especially Ulanqab potatoes, oats and other geographical indication products) from growth to harvest to circulation throughout the life cycle. The key data can be trusted and stored in the blockchain, providing consumers with real-time agricultural product traceability query services, and providing agricultural and animal husbandry departments with effective agricultural product quality and safety supervision and management mechanisms and means. With the help of QR code as the mobile Internet entrance, link online and offline, design O2O e-commerce transaction system, form a closed loop of planting, traceability and sales, digitally control the quality of authentic agricultural products, and empower the brand value of agricultural products. Realize the whole chain supervision of green products from planting source to circulation through a perfect traceability system, improve product safety and quality, enhance the market's popularity and recognition of agricultural products in the region, form effective protection of agricultural product geographical indication products, and achieve agricultural economic development “Increase quality and efficiency”, and then promote the construction of smart agricultural big data projects.