专刊——农业区块链

基于区块链的农业投入品智能管控平台设计

展开
  • 中国农业科学院农业资源与农业区划研究所,北京 100081
钱建平,博士、研究员。研究方向:农产品智慧供应链管理与追溯。Email:qianjianping@caas.cn

收稿日期: 2020-04-20

  网络出版日期: 2020-07-30

基金资助

中国农业科学院科技创新工程引进英才“智慧农业”(962-3)

Design of an Intelligent Control Platform for Agricultural Inputs based on Blockchain

Expand
  • Institute of Agriculture Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

Received date: 2020-04-20

  Online published: 2020-07-30

摘要

提高农业投入品的管控能力对于保障食品安全和实现“肥药双减”目标具有重要意义。农业投入品管控由于时空跨度大、责任主体多、技术手段缺乏,导致台账录入不规范、施用记录不清楚、信息记录不准确、生命周期不连贯等问题时有发生;而区块链技术具有去中心化、去信任、可集体维护等特点,已应用于数字金融、物联网、智能制造、供应链管理、数字资产交易等多个领域。本文以区块链技术为支撑,以农业投入品的“生产-经营-施用”为生命周期过程,提出了农业投入品智能管控平台总体框架,主要由数据层、网络层、共识层、合约层和应用层组成;考虑到数据的容量及数据安全保密的要求,设计了“数据库+区块链”的数据双模存储机制,通过映射机制实现链上与链下数据关联;设计了用户认证、资质核验、台账分析、施用预警、防伪追溯等智能合约,描述了智能合约的构建过程。结合联盟链的优势,提出了以Hyperledger作为联盟链平台开发农业投入品智能管控平台;根据不同参与主体的需求及使用的便利性,平台采用应用系统与移动APP相结合的方式,主要提供生产管理、经销管理、施用管理、智能监管、区块链管理等模块。该平台既有利于增强农业投入品监管能力,又能提升追溯可信度,为农业投入品的合规生产、合法经营、合理施用提供了有力的技术支撑。

本文引用格式

钱建平, 余强毅, 史云, 张保辉, 查燕, 吴文斌 . 基于区块链的农业投入品智能管控平台设计[J]. 农业大数据学报, 2020 , 2(2) : 38 -46 . DOI: 10.19788/j.issn.2096-6369.200204

Abstract

It is very important to improve the control of agricultural inputs to ensure food safety and achieve the goals of reducing fertilizer and drug use. Because of the wide variation in time and space in the supply chain, various regulatory bodies, and limited technical means, some problems occur frequently in the management and control of agricultural inputs. Such problems include irregular accounts, unclear application records, inaccurate information records, and incoherent life cycles. Blockchain technology has the characteristics of decentralization, de-trust, and collective maintenance. It has been applied in many fields such as digital finance, the Internet of Things, intelligent manufacturing, supply chain management, and digital asset trading. Using blockchain technology and the "production–management–application" life cycle of agricultural inputs, this paper proposes a framework for an intelligent management and control platform for agricultural inputs. The framework is composed of data, network, consensus, contract, and application layers. Considering the amount of data that would be handled and the need for security and confidentiality, a dual-mode data storage mechanism consisting of "database and blockchain" was designed. On-chain and off-chain data are associated using a mapping mechanism. Intelligent contracts such as user authentication, qualification verification, account analysis, application warning, and anti-counterfeiting traceability contracts are presented, and their construction is described. Incorporating the advantages of an alliance chain, Hyperledger was used to build the platform. To meet the needs of different participants and be convenient to use, the platform is a combined application system and mobile application, which provides production management, distribution management, application management, intelligent supervision, blockchain management, and other modules. The platform not only enhances the supervision of agricultural inputs, but also improves traceability. Therefore, it provides strong technical support for the regulatory compliance, legal management, and rational use of agricultural inputs.

参考文献

1 Kennedy S. Why Can't We Test Our Way to Absolute Food Safety?[J]. Science, 2009, 322(5908):1641-1643.
2 杨天和,褚保金.“从农田到餐桌”食品安全全程控制技术体系研究[J]. 食品科学, 2005(3):264-268.
2 Yang T H, Chu B J. Research on the Whole Process Control Technology System of Food Safety "from Farmland to Table"[J]. Food Science, 2005(3): 264-268.
3 张维理,武淑霞,冀宏杰,等. 中国农业面源污染形势估计及控制对策Ⅰ.21世纪初期中国农业面源污染的形势估计[J].中国农业科学,2004,37(7):1008-1017.
3 Zhang W L, Wu S X, Ji H J, et al. China's Agricultural Non-Point Source Pollution Situation Estimation and Control Countermeasures Ⅰ. China's Agricultural Non-Point Source Pollution in the Early Years of the 21st Century the Situation[J]. Chinese Agricultural Science, 2004, 37(7): 1008-1017.
4 谢邵文,杨芬,冯含笑,等. 中国化肥农药施用总体特征及减施效果分析[J]. 环境污染与防治,2019,41(4):490-495.
4 Xie S W, Yang F, Feng H X, et al. Analysis on the General Characteristics and Reduction Effect of Chemical Fertilizer and Pesticide Application in China[J]. Environmental Pollution and Prevention, 2004, 37(7): 1008-1017.
5 黄庆,崔超远,乌云. 应用于农资产品溯源服务系统的物联网技术分析[J]. 计算机系统应用,2013,22(1):44-47.
5 Huang Q, Cui C Y, Wu Y. Internet of Things Technology Analysis Applied in Agricultural Material Product Traceability Service System[J]. Computer System Application, 2013, 22(1): 44-47.
6 毛林,成维莉,程涛,等. 基于产品电子代码(EPC)编码的农资追溯系统应用研究[J]. 浙江农业科学,2018,59(7):1312-1318.
6 Mao L, Cheng W L, Cheng T, et al. Research on Application of Agricultural Material Traceability System Based on EPC Code[J]. Zhejiang Agricultural Science, 2018, 59(7): 1312-1318.
7 方薇,崔超远,宋良图. 混合编码模式的农资溯源服务系统[J]. 农业工程学报,2012,28(14):164-169.
7 Fang W, Cui C Y, Song L T. Hybrid Coding Mode of Agricultural Resources Traceability Service System[J]. Journal of Agricultural Engineering, 2012, 28(14): 164-169.
8 Qian J., Shi C., Wang S., et al. Cloud-based System for Rational Use of Pesticide to Guarantee the Source Safety of Traceable Vegetables[J]. Food Control, 2018(87): 192-202.
9 孙志国,李秀峰,王文生,等. 区块链技术在食品安全领域的应用展望[J]. 农业网络信息,2016(12):30-31
9 Sun Z G, Li X F, Wang W S, et al. Application Prospect of Blockchain Technology in the Field of Food Safety[J]. Agricultural Network Information, 2016(12): 30-31
10 Zhao G Q, Liu S F, Carmen Lopez, et al. Blockchain Technology in Agri-Food Value Chain Management: A Synthesis of Applications, Challenges and Future Research Directions[J]. Computers in Industry, 2019(109): 83-99.
11 Kamilaris A, Fonts A, Prenafeta-Boldv F X. The Rise of Block Chain Technology in Agriculture and Food Supply Chains[J]. Trends in Food Science & Technology, 2019(91): 640-652.
12 Andoni M, Robu V, Flynn D, et al. Blockchain Technology in the Energy Sector: A Systematic Review of Challenges and Opportunities[J]. Renewable and Sustainable Energy Reviews, 2019(100), 143–174.
13 Liu Z Y, Li Z P. A Blockchain-Based Framework of Cross-Border E-Commerce Supply Chain[J]. International Journal of Information Management, 2020(52): 102059.
14 钱建平,吴文斌,杨 鹏. 新一代信息技术对农产品追溯系统智能化的影响综述[J]. 农业工程学报,2020,36(5):182-191.
14 Qian J P, Wu W B, Yang P. Review on Agricultural Products Smart Traceability System Affected by New Generation Information Technology[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2020, 36(5): 182-191. (in Chinese with English abstract)
15 欧阳丽炜,王帅,袁勇,等. 智能合约:架构及进展[J]. 自动化学报, 2019, 45(3):445 -457.
15 Ouyang L W, Wang S, Yuan Y, et al. Smart Contracts: Architecture and Research Progresses[J]. Acta Automatica Sinica, 2019, 45(3): 445-447. (in Chinese)
文章导航

/