An Evaluation Model of the Efficiency of Agricultural Information Resources Allocation in the Big Data Environment

Abstract

In order to improve the ability of optimal allocation of agricultural information resources, analysis of agricultural information resources allocation efficiency, optimize the allocation of agricultural information resources, has become an important issue. An evaluation method of allocation efficiency of agricultural information resources based on huge data is raised, and the software development and design of configuration efficiency evaluation model are carried out in combination with embedded LINUX system. The big data distributed storage structure model of agricultural information resources is constructed. Quantitative regression analysis and adaptive game method are used for quantitative evaluation of agricultural information resources, big data information of agricultural information resources is excavated, regional grid clustering method is used for classification and recognition of agricultural information resources, and information fusion and adaptive scheduling of agricultural information resources are carried out under the optimized information fusion model. Embedded Linux technology is used to develop the evaluation model of agricultural information resource allocation efficiency in C/S client. The system includes data processing module, agricultural information resource allocation module, program loading module, bus scheduling module and human-computer interaction module. The integrated design technology is used to realize the software design of agricultural information resource allocation efficiency evaluation model. The test results show that the designed evaluation model of agricultural information resource allocation efficiency has good reliability and strong human-computer interaction ability, which improves the quantitative evaluation and optimal allocation ability of agricultural information resources.