With the rapid development of the service sector in economic growth, productive service industry has become a growing field of people’s attention. Agricultural productive services are a supporting point to promote the development of modern agriculture, and at the same time, they also point out the direction for promoting the transformation of the agricultural development mode, which has very important strategic significance. In order to analyze and improve the rural productive service system and solve the “three rural” issues, this article designs an agricultural productive service analysis framework from the perspective of farmers, statistics of the investment in agricultural productive services in a certain region from 2015 to 2019, the expenditure of agricultural productive services in agriculture, forestry, fishery, and animal husbandry, and per capita wage income and operating income of farmers in the area under agricultural productive services, and in the process of agricultural production, farmers need agricultural productive services from the perspective of the whole process, land preparation, seeding, pest control, fertilization, and harvesting risks. The data in this experiment are stored in a distributed manner through the block chain, and the data are stored in the corresponding part in the chronological order; the data are transmitted to the edge server of the experimental network in the way of point-to-point transmission, and then edge computing technology is used to calculate and analyze the data collected in the experiment. The final result shows that, in this region, the input of the main agricultural producer service industry is growing very fast, the scale of productive services is expanding, and more and more attention is paid to the producer services in the process of agricultural production, but the internal composition of agricultural producer services is unbalanced. With the continuous improvement of the scale of agricultural productive services, the per capita income of farmers and the per capita income of management are also increasing year by year. When the scale of agricultural productive services reaches 0.09 in 2019, the per capita wage income of farmers has reached 3900 yuan, and the per capita income of farmers has reached 3750 yuan. And in the perspective of various risks in agricultural production, the higher the risk coefficient, the stronger the risk preference of farmers and the higher the risk investment in agricultural production services.

中文翻译：

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基于区块链和边缘计算的农业生产服务系统

随着服务业在经济增长中的飞速发展，生产性服务业已成为人们日益关注的领域。农业生产服务业是促进现代农业发展的支撑点，同时也指出了促进农业发展方式转变的方向，具有十分重要的战略意义。为了分析和完善农村生产服务体系，解决“三农”问题，本文从农民角度出发，设计了2015年至2005年某地区农业生产服务投资统计数据的农业生产服务分析框架。 2019年农业，林业，渔业和畜牧业的农业生产服务支出，农业生产服务区域农民的人均工资收入和经营收入，在农业生产过程中，从全过程，整地，播种，病虫害防治，施肥，收获风险。本实验中的数据通过区块链以分布式方式存储，并且数据按时间顺序存储在相应的部分中；数据以点对点传输的方式传输到实验网络的边缘服务器，然后利用边缘计算技术对实验中收集到的数据进行计算和分析。最终结果表明，在该地区，主要农业生产者服务业的投入增长非常快，生产服务规模不断扩大，农业生产过程中越来越重视生产者服务，但农业生产者服务的内部构成不平衡。随着农业生产服务规模的不断提高，农民人均收入和经营管理人均收入也在逐年增加。当2019年农业生产服务规模达到0.09时，农民人均工资性收入达到3900元，农民人均收入达到3750元。从农业生产中的各种风险来看，风险系数越高，农民的风险偏好越强，对农业生产服务业的风险投资也就越高。农业生产过程中越来越重视生产者服务，但农业生产者服务的内部组成不平衡。随着农业生产服务规模的不断提高，农民人均收入和经营管理人均收入也在逐年增加。当2019年农业生产服务规模达到0.09时，农民人均工资性收入达到3900元，农民人均收入达到3750元。从农业生产中的各种风险来看，风险系数越高，农民的风险偏好越强，对农业生产服务业的风险投资也就越高。农业生产过程中越来越重视生产者服务，但农业生产者服务的内部构成不平衡。随着农业生产服务规模的不断提高，农民人均收入和经营管理人均收入也在逐年增加。当2019年农业生产服务规模达到0.09时，农民人均工资性收入达到3900元，农民人均收入达到3750元。从农业生产的各种风险来看，风险系数越高，农民的风险偏好越强，对农业生产服务业的风险投资也就越高。