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This paper addresses the classification and characterization of the sugarcane producing municipalities in Brazil, using techniques of multivariate statistical analysis (factor and cluster analysis).

Repository: BDPA     Publication year: 2015

Abstract: Given the large territorial extension and the high social and economic diversity, Brazil has a remarkable variability in agricultural cropping systems. The description and the understanding... ...

Repository: BDPA     Publication year: 2013

Genetic selection efficiency is measured by accuracy. Model selection relies on hypothesis testing with effectiveness given by statistical significance (p-value). Estimates of selection accuracy are b... ...

Repository: BDPA     Publication year: 2022

This paper discuss different extraction methods, linguistic informed and pure statistical, through a comparative analysis using usual metrics: Precision, Recall and F-measure. The experiments were mad... ...

Repository: BDPA     Publication year: 2010

Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain. Determining the influence of these factors is of... ...

Repository: BDPA     Publication year: 2021

An analysis of several indicators, socio-economic and environmental, through the Dashboard of Sustainability is possible to tell which category has the highest rate of farmer sustainability, whether s... ...

Repository: BDPA     Publication year: 2015

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