This article analyzes the legally collected real data and explains the analysis process and results of the unregulated third-party traceable agricultural product sales data in the current environment. We use a hybrid method that combines qualitative and quantitative analyses to process the regional data and quantitative analysis to process the count and proportion of data. To the greatest extent, it helps businesses obtain more information. At the same time, it discusses the development status and ethical issues of traceable agricultural products in China based on the literature and analysis process.
|Title of host publication||Second International Conference on Industrial IoT, Big Data, and Supply Chain|
|Editors||Victor Chang, Yongxin Zhu, Hong Yu|
|Publication status||Published - 15 Oct 2021|
|Event||2nd International Conference on Industrial IoT, Big Data, and Supply Chain 2021 - Macao, Virtual, China|
Duration: 15 Oct 2021 → 17 Oct 2021
|Name||Proceedings of SPIE - The International Society for Optical Engineering|
|Conference||2nd International Conference on Industrial IoT, Big Data, and Supply Chain 2021|
|Period||15/10/21 → 17/10/21|
Bibliographical noteFunding Information:
This work is partly supported by VC
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