| Cloud farm uses Internet of Things technology to gather physical farms scattered in different locations into the "cloud",realizing the "cloud" of physical farms and forming a new mode of modern agricultural operation of "Internet + farm".The main characteristics of cloud farms are that through the integration and sharing of farm information and real-time update,the timely grasp of market demand,can effectively improve the level of agricultural production,operation,management and service.However,due to the late acquisition and integration of farm information and data resources in the process of characteristic agricultural production and operation in Dabie Mountain area,there are problems of insufficient industrial promotion force and low added value of agricultural products.Therefore,based on the "cloud" Dabie mountain area characteristic agriculture entity farm,complete cloud farm scenario Dabie mountain area of multi-source heterogeneous data fusion efficient storage and sharing,research and development intelligence service cloud farm big data platform,to carry out the cloud farm intelligent service system construction,to promote the new development model of Dabie mountain area characteristic agricultural production brigade fusion of form,It provides reference for promoting the modernization of agricultural production and management in Dabie mountain area.The main contents of this paper are as follows:(1)Demand analysis of cloud farm smart service big data platform.Farm system analyzes the Dabie mountain area entities in the process of planting and raising,processing and sales of agricultural products the multi-source heterogeneous data acquisition and integration of lag and traditional "Internet + agricultural produce electricity business model does not apply to the ascension of agricultural product added value and so on many problems,big data cloud farm wisdom service platform construction requirements,The data integration and storage requirements of cloud farm agricultural data resource center as well as the construction requirements of cloud farm intelligent service system are emphasized.(2)Cloud farm smart service big data platform design.Based on the analysis of platform architecture and key technologies,centering on the construction requirements of cloud farm agricultural data resource center of the platform,The real-time collection method of multi-source heterogeneous data in cloud farm based on Kafka,the parallel processing and fusion method of multi-source heterogeneous data in cloud farm based on Spark,and the hierarchical storage method of multi-source heterogeneous data in cloud farm based on Hive+HBase are designed.Based on the construction demand of cloud farm smart service system of the platform,the design of consumer-oriented cloud farm real scene experience service module,cloud farm smart e-commerce and traceability service module,and the design of cloud farm production and operation information monitoring service module for farm operators are carried out.(3)Implementation and verification of cloud farm smart service big data platform.Based on Hadoop big data technology,this platform constructs the agricultural data resource center of cloud farm,and realizes the collection,storage,fusion and sharing of multi-source heterogeneous data of cloud farm.The smart service system of Cloud Farm in Dabie Mountain area has been developed.The online real scene experience service module of cloud farm provides consumers with online remote experience service of physical farm.The smart e-commerce and traceability service module of Cloud Farm provides consumers with direct sales of agricultural products origin and quality traceability services;The production and operation information monitoring service module of cloud farm provides visual monitoring service of production and operation information for farm operators.Wechat mini program provides mobile farm real scene experience,agricultural products e-commerce and traceability services. |
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