ABSTRACT

In order to improve the effect of precision intelligent agricultural decision support system, this paper combines big data technology to carry out precision mining of agricultural data, and combines decision tree algorithm to carry out data classification processing. Moreover, this paper obtains the most effective agricultural decision reference data through data mining, combines the agricultural decision support process to set the functional modules of the decision system, and analyzes the implementation process of each functional module. In addition, this paper studies the theoretical basis and key technologies of the agricultural production structure optimisation decision support system, and builds a precision and intelligent agricultural decision support system based on big data analysis. The system mainly performs accurate processing of agricultural data and makes effective predictions, and then makes scientific decision results. Finally, this paper verifies the structure of the model in this paper combined with experimental analysis. From the comparison of experiments, it can be seen that the precision and intelligent agricultural decision support system constructed in this paper has significant effects.

摘要

为提高精准智能农业决策支持系统的效果，本文结合大数据技术对农业数据进行精准挖掘，结合决策树算法进行数据分类处理。此外，本文通过数据挖掘获取最有效的农业决策参考数据，结合农业决策支持流程设置决策系统的功能模块，分析各功能模块的实现过程。此外，本文研究了农业生产结构优化决策支持系统的理论基础和关键技术，构建了基于大数据分析的精准智能农业决策支持系统。该系统主要对农业数据进行精准处理并做出有效预测，进而做出科学的决策结果。最后结合实验分析验证了本文模型的结构。通过实验对比可以看出，本文构建的精准智能农业决策支持系统效果显着。