A Research Based On The Private Cloud Seeds Tracing And Data Analysis Platform

In recent years, China's agricultural economy has been boomed, however, seeds security problems are continually raising as agriculture develops fast. The traceability of seeds quality and safety as well as sales data analysis is the key to ensure the whole ecological system because it affects the quality and development of agricultural production systems.Undoubtedly, the traditional data processing methods have the concrete problems found in performance, efficiency and accuracy because of peculiarity, dispersion and hugeness of agricultural data.With the development of Hadoop, spark and other large data processing technology, the enterprises have adopted the large-data related technology in order to find the valuable business information in the data to solve the problem.To solve the actual quality problem and to ensure seeds safety, this research builds a private cloud platform for seed traceability and data analysis based on large-data processing technology, and with large amount of literature as reference.Based on the project research background and practical significance, and the status quo at home and abroad to do a summary review. On this basis, the article put forward the research contents, research objectives and specific ideas and implementation methods. First of all the process of building a private cloud platform in the data analysis of seed traceability and emphatically introduces two basic data source collection: log collection and Kafka messages, data offline and online analysis, cluster load balancing algorithm optimization and optimization according to the consistency of the hash algorithm to cluster relational database. The second is the data collection and data warehouse construction of seed cleaning process based on the back, do a simple recommendation and on this basis, to solve the practical problems of farmers selection difficult. Again, according to the log records through the use of cloud platform by farmers recommended results and feedback evaluation of recommendation subsystem operation results, but the whole process from the recommended to form a closed loop, can be effective on the recommendation strategy make the appropriate adjustment and change. Finally, dependent on access to cloud platform and farmers behavior log, can analyze the sales situation, a seed products concern in farmer groups in the TOP data, which provides reliable data for enterprise product development and product development, to achieve the whole seed industry chain information sharing, can be further improve the quality of seeds.The main results of this study to build a private cloud platform seed traceability and data analysis Hadoop based on spark and, at the same time provide a method to calculate the performance of some optimization and improve the private cloud. To provide a feasible solution for the application of large data technology in agriculture. To provide a reliable theoretical basis for the development and application of big data in other industries.