基于MATLAB GUI的土壤质地类型自动识别系统

土壤质地类型反映了不同粒径颗粒在土壤中的分布,是土壤的最基本性质之一,直接影响土壤中水、气、热和溶质的迁移特征,因此确定土壤质地类型是土壤调查中最基础的工作。我国常用的土壤质地分类标准有美国制、国际制、卡庆斯基制和中国制标准,其中美国制和国际制土壤质地分类需借助平面三角坐标系来确定,不利于批量土壤样品的土壤质地分类。现有的土壤质地自动分类系统中缺少基于卡庆斯基制、中国制的分类功能,且难以直接处理激光粒度仪的测试结果。为能够批量自动实现土壤质地分类并便于不同分类制结果的对比,基于MATLAB GUI开发了土壤质地类型自动识别系统(GSTARS)。该系统界面直观、操作方便,能够批量处理土壤颗粒测试数据和多种格式数据文件,且数据处理容量大;该系统包含了4种国内应用最广的土壤质地分类标准,增加了系统的适用性,便于不同分类制分类结果的对比。与现有土壤质地分类工具的结果对比,表明本系统的分类结果可靠。

Graphical Soil Texture Automatic Recognition System Based on MATLAB GUI

Soil texture type reflects the distribution of different particle size fractions in soil,which is one of the most basic properties of soil,and directly affects the migration characteristics of water,gas,heat and solute in soil.Determination of soil texture type is often the first and most important work in soil investigation.The commonly used soil texture classification systems in China include American system,international system,Kachinskii system and Chinese system.Among them,American system and international system need to be determined according to the plane triangle coordinate system,which is not conducive to classify a large number of soil samples.The existing automatic classification system of soil texture lacks the classification function based on Kachinskii system and Chinese system,and the function to deal with laser particle size results directly.In order to realize the automatic soil texture classification in batch and to compare the results with different classification systems conveniently,this paper develops a Graphical Soil Texture Automatic Recognition System(GSTARS)based on the MATLAB GUI.The system has the intuitive interface and is convenient to operating.It can batch process the soil particle test results and data files with the common file format,which has a large data processing capacity.It contains four kinds of soil texture systems widely used in China,which promotes the applicability and is convenient for comparison of the classification results of different classification systems.The results are verified as reliable by the other tools of soil texture classification calculators.