ABSTRACT: Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full understanding of their capabilities. The aim of this work was to evaluate the performance of preprocessing procedures and supervised classification approaches for predicting map units from 1:100,000-scale conventional semi-detailed soil surveys. Sheets of the Brazilian National Cartographic System on the 1:50,000 scale, “Dois Córregos” (“Brotas” 1:100,000-scale sheet), “São Pedro” and “Laras” (“Piracicaba” 1:100,000-scale sheet) were used for developing models. Soil map information and predictive environmental covariates for the dataset were o...
The assessment of class frequency in soil map legends is affected by uncertainty, especially at smal...
ABSTRACT: Different uses of soil legacy data such as training dataset as well as the selection of so...
The extraction of information from surveyed and classified soil maps by desired end-users has increa...
ABSTRACT: Data Mining techniques play an important role in the prediction of soil spatial distributi...
ABSTRACT:Data Mining techniques play an important role in the prediction of soil spatial distributio...
Data Mining techniques play an important role in the prediction of soil spatial distribution in syst...
Digital information generates the possibility of a high degree of redundancy in the data available f...
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
This thesis focuses on processing soil survey data into user-specific information. Within this proce...
This thesis focuses on processing soil survey data into user-specific information. Within this proce...
ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, w...
ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, w...
Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being u...
The assessment of class frequency in soil map legends is affected by uncertainty, especially at smal...
The assessment of class frequency in soil map legends is affected by uncertainty, especially at smal...
ABSTRACT: Different uses of soil legacy data such as training dataset as well as the selection of so...
The extraction of information from surveyed and classified soil maps by desired end-users has increa...
ABSTRACT: Data Mining techniques play an important role in the prediction of soil spatial distributi...
ABSTRACT:Data Mining techniques play an important role in the prediction of soil spatial distributio...
Data Mining techniques play an important role in the prediction of soil spatial distribution in syst...
Digital information generates the possibility of a high degree of redundancy in the data available f...
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
This thesis focuses on processing soil survey data into user-specific information. Within this proce...
This thesis focuses on processing soil survey data into user-specific information. Within this proce...
ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, w...
ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, w...
Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being u...
The assessment of class frequency in soil map legends is affected by uncertainty, especially at smal...
The assessment of class frequency in soil map legends is affected by uncertainty, especially at smal...
ABSTRACT: Different uses of soil legacy data such as training dataset as well as the selection of so...
The extraction of information from surveyed and classified soil maps by desired end-users has increa...