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Soft-sensor approach based on principal components analysis to improve the quality of the application of pesticides in agricultural pest control. Repository: BDPA Publication year: 2018
Assessment of heavy metals in soils of a vineyard region with the use of principal component analysis. Agricultural management with chemicals may contaminate the soil with heavy metals. The objective of this study was to apply Principal Component Analysis and geoprocessing techniques to identify the or... ... Repository: BDPA Publication year: 2009
Biometric variability of goat populations revealed by means of principal component analysis. The aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of d... ... Repository: BDPA Publication year: 2012
Principal component and biplot analysis in the agro-industrial characteristics of Anacardium spp. The cajuí Anacardium spp., which is similar to the caju Anacardium Ocidentale L., is a species adapted to edaphic-climatic conditions of the biome Cerratinga (Cerrado e Caatinga). Its fruit is compose... ... Repository: BDPA Publication year: 2019
Maturation and maceration effects on tropical red wines assessed by chromatography and analysis of variance: principal component analysis. Effects of grape maturity, maceration length during winemaking and interaction of both of them on physicochemical parameters, phenolic and volatile composition were investigated in tropical Syrah wine... ... Repository: BDPA Publication year: 2019
Comparison of grain protein profiles of Brazilian cowpea (Vigna unguiculata) cultivars based on principal component analysis. This study aims to compare the grain protein profile of four Brazilian cowpea cultivars (BRS Aracê, BRS Itaim, BRS Pajeú, and BRS Xiquexique) by two-dimensional electrophoresis (2-DE) and principal co... ... Repository: BDPA Publication year: 2022
Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends. This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extru... ... Repository: BDPA Publication year: 2023
Selection of cowpea progenies with enhanced drought-tolerance traits using principal component analysis. Vigna unguiculata (L.) Walp (cowpea) is a food crop with high nutritional value that is cultivated throughout tropical and subtropical regions of the world. The main constraint on high productivity of... ... Repository: BDPA Publication year: 2015
Agrometeorological conditions in western Pará compared to agricultural production variables using principal component analysis. Description of the subject. Since the beginning of the twenty-first century, soybean cultivation areas have been expanding in the Legal Amazon. Among the factors that contribute to the process of expa... ... Repository: BDPA Publication year: 2023
Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed. Abstract: A multivariate approach was adopted to evaluate the relationship among traits measured in the performance testing of Morada Nova sheep, verify the efficiency of a ranking method used in thes... ... Repository: BDPA Publication year: 2015

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