Consulta: subjectFacets:"EM"
Registros recuperados: 1
Data/hora: 13/06/2024 04:32:16

DATA MINING FOR THE ASSESSMENT OF MANAGEMENT AREAS IN PRECISION AGRICULTURE
Provedor de dados: 70
Autores: Schemberger,Elder E.; Fontana,Fabiane S.; Johann,Jerry A.; Souza,Eduardo G. De.
ABSTRACT Precision Agriculture (PA) uses technologies with the aim of increasing productivity and reducing the environmental impact by means of site-specific application of agricultural inputs. In order to make it economically feasible, it is essential to improve the current methodologies as well as proposing new ones, in which data regarding productivity, soil, and compound indicators are used to determine Management Areas (MAs). These units are heterogeneous areas within the same region. With these methodologies, data mining (DM) techniques and algorithms may be used. In order to integrate DM techniques to PA, the aim of this study was to associate MAs created for soy productivity using the Fuzzy C-means algorithm by SDUM software over a 9.9-ha plot as...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Algorithms; EM; KDD; K-means; Weka.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000100185