江西农业大学学报2016，Vol.38Issue(6)：1188-1195,8.DOI:10.13836/j.jjau.2016167
基于主成分分析的最小数据集的肥力指数构建
Soil Fertility Index Based on Minimum Data Sets Using PCA Method
摘要
Abstract
Soil fertility evaluation is essential for agricultural production in red-soil regions of Jiangxi Prov-ince.At present,many methods are used to evaluate soil fertility using vastly different indicators.A small num-ber of carefully chosen soil fertility indicators,when used in the soil fertility integrated indexes,would assist ag-riculture managers to better understand the soil fertility conditions of various agricultural systems.This study an-alyzes soil fertility indexes of three counties of Jiangxi Province by means of the integrated fertility indexes in combination with total data sets and minimum data sets using principal analysis.The correlations were analysed and Kappa values of classification were compared in soil fertility indexes based on total data sets and minimum data sets. The result shows that the correlation of soil fertility using total data sets and minimum data sets is 0.92 (ρ<0.01),the total accuracy in three classes is 88.75% and the Kappa is 0.82.It is concluded that using the method of soil fertility indexes and the minimum data sets can adequately represent the total fertility inde-xes and thus save time and cost.关键词
江西红壤地区/主成分分析/土壤肥力指数/最小数据集Key words
red-soil regions of Jiangxi/principal component analysis/soil fertility index/minimum data sets分类
农业科技引用本文复制引用
杨梅花,赵小敏,王芳东,郭熙,谢文..基于主成分分析的最小数据集的肥力指数构建[J].江西农业大学学报,2016,38(6):1188-1195,8.基金项目
国家自然科学基金项目(41361049)和江西省自然科学基金项目(20122BAB204012) Project supported by the National Natural Science Foundation of China (41361049) and Jiangxi Province Natu-ral Science Fundation Project (20122BAB204012) （41361049）
