基于区块链技术的订单农业体系构建与运营策略——以长沙市宁乡县宁乡猪为例  

Construction and operational strategy of order agricultural system based on blockchain technology--Taking Ningxiang pig in Ningxiang County,Changsha City as an example

作　　者：赵浩健 张焕春[2] 刘宁 郭对田 李淑平[2] 张丽丽 邹晓宇 杨剑超[2] ZHAO Hao-jian;ZHANG Huan-chun;LIU Ning;GUO Dui-tian;LI Shu-ping;ZHANG Li-li;ZOU Xiao-yu;YANG Jian-chao(School of Fisheries,Tianjin Agricultural University,Tianjin300384,China;Yantai Academy of Agricultural Sciences,Yantai265500,Shandong,China;Shandong Smart Cloud Chain Network Technology Co.,Ltd.,Yantai264600,Shandong,China)

机构地区：[1]天津农学院水产学院,天津300384 [2]烟台市农业科学研究院,山东烟台265500 [3]山东智慧云链网络科技有限公司,山东烟台264600

出　　处：《湖北农业科学》2023年第8期202-206,212,共6页Hubei Agricultural Sciences

基　　金：山东省重点研发计划(软科学)项目(2021RKY06111)。

摘　　要：以长沙市宁乡县宁乡猪订单农业项目为例,介绍了订单农业的概念、特点、优势和发展历程,分析了中国订单农业面临的诚信问题和信息不透明问题,提出了基于区块链技术的农业产业SaaS服务平台的构想,以及该平台的组织结构和运营策略。展示了区块链订单农业SaaS平台的实际投入效果,包括提高出栏量、降低成本、增加收入、实现融资等方面。区块链技术可以为订单农业提供数据安全、溯源、诚信、监管等方面的保障,促进订单农业的健康发展,开创农业供需平衡、绿色高效、农民富裕、食品安全、价格合理的新局面。Taking the Ningxiang pig order agriculture project in Ningxiang County,Changsha City as an example,this paper introduced the concept,characteristics,advantages,and development process of order agriculture,analyzed the integrity and information opacity issues faced by China’s order agriculture,and proposed the concept of an agricultural industry SaaS service platform based on blockchain technology,as well as the organizational structure and operational strategy of the platform.The actual investment effect of the blockchain order agriculture SaaS platform was showcased,including increasing market volume,reducing costs,increasing revenue,and achieving financing.Blockchain technology could provide data security,traceability,integrity,regulation,and other guarantees for order agriculture,promote the healthy development of order agriculture,and create a new situation of balanced agricultural supply and demand,green and high efficiency,affluent farmers,food safety,and reasonable prices.

关 键 词：订单农业 区块链 农业SaaS服务平台 运营策略 宁乡猪 长沙市宁乡县 

分 类 号：S126[农业科学—农业基础科学]