The present investigations were carried out to study the effects of different tillage systems on yield and yield contributing traits, using Randomized Complete Block Design. Two tillage systems i.e. conservation tillage and conventional tillage were used. Three principal components were sufficient to ...
A fast and convenient soil analytical technique is needed for soil quality assessment and precision soil management. The main objective of this study was to evaluate the ability of near-infrared reflectance spectroscopy (NIRS) to predict diverse soil properties. Near-infrared reflectance spectra, ...
Nine environmental covariates, related to the relief factor of soil formation, were derived from a digital elevation model and named the original variables, which were submitted to PCA and transformed into principal components (PC). The MLR were developed using the terrain attributes and the PC as...
As soil cation exchange capacity (CEC) is a vital indicator of soil quality and pollutant sequestration capacity, a study wasconducted to evaluate cokriging of CEC with the principal components derived from soil physico-chemical properties. InQingdao, China, 107 soil samples were collected. Soil CEC...
In this paper,data structure of soil contaminations,relationships and differences of soil pollutions were discovered,and the major components of soil pollutions were identified.The result of agriculture field quality classified with component scores showed that paddy field irrigated with clean water was ...
Principal component analysis is a data reduction technique that aims to explain most of the variance in the data while reducing the number of variables to a few uncorrelated components. In contrast, the aim of FA is to identify underlying factors that are responsible for the correlation among ...
a主成分分析结果表明:该城区表明土壤前4个主要成分分别累计提取了总方差的82.88%,该结果表明所提取的主要成分能够较好地代表源数据所蕴涵的信息,能够很好地解释原各变量 The principal components analysis result indicated that,This city indicated the soil first 4 principal constituents accumulated separately have ...
By contrast, the dimensionality reduction in terms of the Principal Component Analysis (PCA) is closely related to hyperspectral model: the optimal principal components (PCs) in the estimation of Cr concentration are the first 9 PCs for the GBDT (nonlinear model), while that for the PLSR (...
Based on the investigation of grassland environment in the western Jilin Province,the physical and chemical characteristics and nutrient components in the soil were tested. The organic matter,Total N,Total P,Total K,Available N,Available P,Available K,ESP and pH value were chosen as main indexes...
Principal components analysis of the soil microbial population of humid zone of galicia (Spain) Principal components analysis has been applied to the total microbial population numbers and to taxonomic groups and the physiological groups involved in t... MJ Acea,T Carballas - 《Soil Biology & ...