Analysis of the Legal Protection System for Ecological Agriculture Based on Big Data Mining Algorithms

In order to improve the ecological agriculture legal protection system, this paper analyzes the agricultural legal data mining from the perspective of big data, and improves the traditional data mining algorithm to make it as an intelligent algorithm that can be applied to the ecological agriculture law. Moreover, this paper combines the actual needs of ecological agriculture legal service objects to construct an intelligent legal service system applicable to ecological agriculture laws, and combines the crawler system to conduct data mining to obtain the ecological agriculture legal protection system model based on big data technology. In addition, after constructing the model, this paper analyzes the performance of each functional module, and uses the model constructed in this paper to analyze the current situation of our country's ecological agricultural legal compensation mechanism, and summarizes the problems and proposes several countermeasures. From the research point of view, it can be seen that the method proposed in this paper has a certain effect in the analysis of the ecological agricultural legal compensation mechanism.