再生稻溯源追踪平台研发
收稿日期: 2023-02-11
网络出版日期: 2023-05-16
基金资助
安徽省农业科学院科研计划项目”农业智能化技术研发中心”(2023YL014)
Development and Application of Traceability Tracking Platform for Ratooning Rice
Received date: 2023-02-11
Online published: 2023-05-16
【目的】再生稻由于售价高、品相出色、味道香、绿色无农药等优点深受消费者喜爱,但市场上以次充好、防伪难等现象的发生让再生稻的发展受到了限制,利用信息化手段监控再生稻的生产和市场进入成为了重点。【方法】文章详细分析了再生稻实际生产需求和数据格式要求,结合现代信息化技术和物流体系,从需求分析、技术架构、溯源数据格式、系统体系架构和系统功能分析5个方面详细阐述了再生稻溯源追踪平台的研发过程和核心功能体系。【结果】再生稻溯源追踪平台,实现了再生稻从生产到销售全过程可监控、可追溯、可管理、可分析和可拓展的功能体系,保障了市场上再生稻米的质量可靠、生产过程中的种植数据可信和管理过程中的信息安全,提升了消费者对再生稻的品质和信息信任度。【展望】目前再生稻溯源追踪平台主要针对再生稻从种植到销售全周期过程的信息追踪和管理,未来在生产和销售数据充足的基础上可结合农业物联网、区块链和大数据技术,从生产上开展无人精准种植,建立更加绿色环保和智能化的种植过程;在销售过程中结合大数据分析技术构建产销模型,建立更加有效的产销模式;在管理过程中结合区块链技术保证数据安全可信,建立更加高效的管理模式,帮助农民增收,保障食品安全。
管博伦, 董伟, 张立平, 杨前进, 汪焱 . 再生稻溯源追踪平台研发[J]. 农业大数据学报, 2023 , 5(1) : 55 -67 . DOI: 10.19788/j.issn.2096-6369.230114
【Objective】Ratooning rice is favored by consumers because of its high price, excellent appearance, sweet taste, no pesticide and other advantages. However, the development of ratooning rice is limited by the occurrence of phenomena such as adulteration and difficult to prevent counterfeiting. Therefore, the use of information technology to monitor the production and market entry of ratooning rice has become the focus. 【Methods】 This paper analyzed the actual production demand and data format requirement of ratooning rice in detail, it combines modern information technology and logistics system, the research and core functional system of the ratooning rice traceability tracking platform were elaborated from five aspects: requirement analysis, technical framework, traceability data format, system architecture and system function analysis. 【Results】The ratooning rice traceability and tracking plat-form realizes a functional system that can be monitored, traceable, manageable, analyzable and expandable in the whole process from production to sales of ratooning rice, it ensures the reliability of the quality of ratooning rice in the market, the credibility of planting data in the production process and the information security in the management process, at the same time, it also improves the consumer’s trust in the quality and information of ratooning rice. 【Outlook】At present, the traceability and tracking platform for ratooning rice is mainly aimed at information tracking and management of the full cycle process of ratooning rice from planting to sales. In the future, agricultural internet of things, blockchain technology and big data technology can be combined on the basis of sufficient pro-duction and sales data. The first is to carry out unmanned precision planting from the production to establish a more green and intelligent planting process; Secondly, the production and marketing model is constructed by combining big data analysis technology in the sales process to establish a more effective production and marketing model; Finally, bolckchain technology is combined in the management process to ensure data security and credibility and establish a more efficient management mode. It can help farmers increase their income and ensure food security.
| [1] | 2019年全国耕地质量等级情况公报EB. 农田建设管理司. http://www.ntjss.moa.gov.cn/zcfb/202006/P020200622573390595236.pdf. |
| [1] | Bulletin of the Quality Grade of China's cultivated land in 2019EB. Department of Farmland Construction Management. http://www.ntjss.moa.gov.cn/zcfb/202006/P020200622573390595236.pdf. |
| [2] | 虞国平. 水稻在我国粮食安全中的战略地位分析[D]. 北京: 中国农业科学院, 2011. |
| [2] | Yu G P. Analysis of the strategic position of rice in China’s food security[D]. Beijing: Chinese Academy of Agricultural Sciences, 2011. |
| [3] | 马玲. 再生稻生产现状及其研究进展[J]. 现代农业科技, 2022 (3): 12-15. |
| [3] | Ma L. Production status of ratoon rice and its research progress[J]. Modern Agricultural Sciences and Technology, 2022 (3): 12-15. |
| [4] | 张升堂, 刘音, 郭传金. 中国农业生产现状及发展节水农业必需性分析[J]. 西北水力发电, 2022 (4): 50-52. |
| [4] | Zhang S T, Liu Y, Guo C J. The present situation of Chinese agricultural production and the necessity analysis of developing water saving agriculture[J]. Journal of Northwest Hydroelectric Power, 2022 (4): 50-52. |
| [5] | Golan E, Krissoff B & Kuehier F, et al. Taceability in the U. S. food supply economic theory and industry studies[J]. USDA/Economic Research Service. AER-830, 2004, 3: 1-4. |
| [6] | G C Smith, J D Tatum, K E Belk, et al. Traceability from an US perspective[J]. Meat Science, 2005, 71(1): 174-193. |
| [7] | 叶云. 农产品质量追溯系统优化技术研究[D]. 广州: 华南农业大学, 2017. |
| [7] | Ye Y. Research on technology for optimizing agricultural product quality traceability system[D]. Guangzhou: South China Agricultural University, 2017. |
| [8] | 赵荣, 乔娟. 中国农产食品追溯体系实施现状与展望[J]. 农业展望, 2010, 6(5): 44-48. |
| [8] | Zhao R, Qiao J. Actuality and prospect of traceability system of agricultural food in China[J]. Agricultural Outlook, 2010, 6(5): 44-48. |
| [9] | 谢菊芳, 陆昌华, 李保明, 等. 基于.NET构架的安全猪肉全程可追溯系统实现[J]. 农业工程学报, 2006, 22(5): 218-220. |
| [9] | Xie J F, Lu C H, Li B M, et al. Implementation of pork traceability system based on.NET Framwork[J]. Transactions of the CSAE, 2006, 22(5) : 218-220. |
| [10] | 白云峰, 陆昌华, 李秉柏, 等. 肉鸡安全生产质量监控可追溯系统的实现[J]. 江苏农业学报, 2006 (3): 281-284. |
| [10] | Bai Y F, Lu C H, Li B B, et al. Implementation of traceability system for broiler safety production quality monitoring[J]. Jiangsu Journal of Agricultural Sciences, 2006 (3): 281-284. |
| [11] | 赵岩. 甘蓝类蔬菜质量安全追溯研究[D]. 海南: 海南大学, 2011. |
| [11] | Zhao Y. Study on traceabilty for cabbage safety[D]. Hainan: Hainan University, 2011. |
| [12] | 乔晓刚, 蒋平安, 武红旗. 基于J2EE的新疆葡萄产品模糊溯源系统研究[J]. 农机化研究, 2015, 37(9): 217-221. |
| [12] | Qiao X G, Jiang P A, Wu H Q. Research of fuzzy traceability system for Xinjiang grape products based on J2EE[J]. Research on Agricultural Mechanization, 2015, 37(9): 217-221. |
| [13] | 王硕. 基于物联网的农产品溯源系统的设计与实现[D]. 江苏: 南京邮电大学, 2022. |
| [13] | Wang S. Design and Realization of the Traceability System of Agricultural Products Based on the Internet of Things[D]. Jiangsu: Nanjing University of Posts and Telecommunications, 2022. |
| [14] | 王子涛. 果蔬类农产品质量溯源系统研究与实现[D]. 重庆: 重庆三峡学院, 2022. |
| [14] | Wang Z T. Research and Implementation of Quality Traceability System for Fruit and Vegetable Agricultural Products[D]. Chongqing: Chongqing Three Gorges University, 2022. |
| [15] | 淘传奇, 张萌, 郭虹静, 等. 面向不同软件制品的需求追踪方法研究综述[J]. 计算机学报, 2022, 45(11): 2393-2419. |
| [15] | Tao C Q, Zhang M, Guo H J, et al. Review of research on requirements traceability approaches for different soft-ware artifacts[J]. Chinese Journal of Computers, 2022, 45(11): 2393-2419. |
| [16] | 邹春杰. 基于微服务架构的农产品溯源系统优化[D]. 江苏: 南京邮电大学, 2022. |
| [16] | Zou C J. Optimization of agricultural product traceability system based on micro-service architecture[D]. Jiangsu: Nanjing University of Posts and Telecommunications. 2022. |
| [17] | 管博伦, 刘桂民, 董伟, 等. 安徽省地方品种猪智慧管理平台研发[J]. 农业大数据学报, 2021, 3(4): 51-58. |
| [17] | Guan B L, Liu G M, Dong W, et al. Research and development of an intelligent management platform for native Chinese pig breeds in Anhui Province[J]. Journal of Agricultural Big Data, 2021, 3(4): 51-58. |
| [18] | 王永和, 张劲松, 郑安明, 等. Spring Boot 研究和应用[J]. 信息通信, 2012 (10): 91-94. |
| [18] | Wang Y H, Zhang J S, Zheng A M, et al. Spring boot research and application[J]. Information & Communication, 2012 (10): 91-94. |
| [19] | 朱二华. 基于Vue. js的Web前端应用研究[J]. 科技与创新, 2017 (20): 119-121. |
| [19] | Zhu E H. Research on web front-end application based on Vue. js[J]. Technology and Innovation, 2017 (20): 119-121. |
| [20] | 陈岩. 轻量级响应式框架Vue. js应用分析[J]. 中国管理信息化, 2018, 21(3): 181-183. |
| [20] | Chen Y. Application analysis of lightweight responsive framework Vue. js[J]. China Management Informationization, 2018, 21(3): 181-183. |
| [21] | 王惠琴, 李明, 王燕. 基于 Web 的数据库安全管理技术与实现[J]. 计算机应用研究, 2002 (3): 61-63. |
| [21] | Wang H Q, Li M, Wang Y. Research and realization on securities of database based on Web[J]. Application Research of Computers, 2002 (3): 61-63. |
| [22] | 李诗云. 基于内存数据库Redis的众包系统性能优化[D]. 杭州: 浙江大学, 2016. |
| [22] | Li S Y. Performance optimization of the crowdsourcing system based on main memory database-Redis[D]. Hangzhou: Zhejiang University, 2016. |
| [23] | 孙大为, 张广艳, 郑纬民. 大数据流式计算: 关键技术及系统实例[J]. 软件学报, 2014, 25(4): 839-862. |
| [23] | Sun D W, Zhang G Y, Zheng W M. Big data stream computing: Technologies and instances. Journal of Software, 2014, 25(4): 839-862. |
| [24] | 谢希仁. 计算机网络(第8版)[M]. 北京: 电子工业出版社, 2021. |
| [24] | Xie X R. Computer network(8rd ed)[M]. Beijing: Publishing House of Electronics Industry, 2021. |
| [25] | 张新, 彭详贞, 李悦, 等. 基于可信区块链和可信标识的粮油食品全供应链信息追溯模型[J]. 农业大数据学报, 2022, 4(1): 35-48. |
| [25] | Zhang X, Peng X Z, Li Y, et al. Information traceability model for the grain and oil food supply chain based on trusted identification and trusted blockchain[J]. Journal of Agricultural Big Data, 2022, 4(1): 35-48. |
| [26] | 王为民. 农产品质量安全追溯管理研究[D]. 北京: 中国农业科学院, 2014. |
| [26] | Wang W M. Research on Traceability Management for Agroproduct Quality and Safety[D]. Beijing: Chinese Academy of Agricultural Sciences, 2014. |
| [27] | 李旭飞, 杨千河, 姚竟发, 等. 基于区块链的农产品溯源技术研究综述[J]. 江苏农业科学, 2022, 50(6): 16-24. |
| [27] | Li X F, Yang Q H, Yao J F, et al. Overview of research on traceability technology of agricultural products based on blockchain[J]. Jiangsu Journal of Agricultural Sciences, 2022, 50(6): 16-24. |
| [28] | 孙奥. 基于大数据的农产品质量安全溯源系统设计[D]. 成都: 成都大学, 2021. |
| [28] | Sun A. Design of traceability system for agricultural product quality safe based on big data[D]. Chengdu: Chengdu University, 2021. |
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