基于GIS的推荐施肥智能决策模型研究

Study on Intelligent Decision Model on Fertilizer Recommendation Based on GIS

为了探索解决传统推荐施肥技术中缺乏空间属性信息、无法处理经验性知识等问题的途径,以春玉米推荐施肥为例,通过多年多点的大田玉米缺素试验、耕层土壤网格取样的养分测试和推荐施肥知识库的构建,建立了基于GIS的推荐施肥智能决策模型。该模型可以在土壤空间信息平台上,既对施肥过程中结构化要素进行定量模拟,又对施肥过程中非结构化要素进行定性分析,这样就可以相对全面地对推荐施肥进行智能决策支持。该模型经过山西省忻州市二十里铺村春玉米大田试验进行应用,取得了良好的产量效果,具有一定的实用价值。

The purpose of this study was to explore ways to solve the problems in the traditional fertilizer recommendation such as lack of spatial attribute information and experiential knowledge can not be processed.Maize as an example,based on GIS intelligent decision model on fertilizer recommendation was built by the deficiency experiments in multiple years and fields,nutrient value of plow layer soil grid sampling and fertilizer recommendation knowledge base.It was observed that this model not only can quantitative simulation structural elements on fertilization,but also qualitative analysis unstructured elements on fertilization.So the fertilizer recommendation was intelligent decision supported relative comprehensively.There were some field experiments on maize for the model verification in the 20 Li-pu village,Xinzhou City,Shanxi Province.These experiments confirmed that maize yield was significantly increased under the guidance of the model.It is concluded that this model has some practical value.