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||SPIE Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain|
|Editors||Victor Chang, Yongxin Zhu, Hong Yu|
|Number of pages||9|
|Publication status||Published - 19 Dec 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 noteCopyright 2021 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
- AI for agriculture
- Data analysis and privacy
- Ethical issues for agriculture
- Modern agricultural production
- Traceable agriculture product