Comparação de modelos receptores GPS para utilização na agricultura de precisão.
AUTOR(ES)
SHIRATSUCHI, L. S.
FONTE
Planaltina
DATA DE PUBLICAÇÃO
2011
RESUMO
ABSTRACT: After the liberation of Selective Availability (S/A) several GPS receivers started to have enough accuracy or precision for work with grid sampling in Precision Agriculture. There are few articles describing the accuracy and precision of these receivers. The objective of this work was compared and calculated the accuracy of two models very used for grid sampling in Brazil. The study was done in a flat surface, common in the Cerrados region. The geographical reference was determined by DGPS collecting data for 10 hous. The tested models (Garmin GPSIII Plus and Garmin etrex Vista) were evaluated for 5 days in the period of 7 a.m. to 17 p.m. The concept of Circular Error Probability (CEP) was uded for the accuracy and precision calculation. The model Garmin GPSIII Plus presented CEP 50% = 3,6m, CEP 90% = 6,7m, CEP 95% = 7,4 and CEP 98% = 8,2m. The model Garmin etrex Vista presented CEP 50% = 3,3m, CEP 90% = 6,2m, CEP 95% = 6,2 and CEP 98% = 7,6m. Both models presented different error patterns, while the model GPSIII Plus presented aleatory error the etrex Vista presented systematic error (several points overlapped). It was also noticed that the GPS error increased a lot after 15 p.m. for both. In the Cerrados region the grid sampling used by the farmers is much larger than this; therefore the accuracy and precision are enough for grid sampling.
ASSUNTO(S)
agricultura de precisão gps precision farming circular error probality
ACESSO AO ARTIGO
http://www.infoteca.cnptia.embrapa.br/handle/doc/569252Documentos Relacionados
- Comparação de três receptores GPS para uso em agricultura de precisão
- Geração de mapas multitemáticos em agricultura de precisão.
- Sistema automatizado para monitoramento de parâmetros abióticos em tempo real e aplicações na Agricultura de Precisão.
- Manual de utilização das principais funções do programa computacional ArcView 3.2 no apoio à agricultura de precisão.
- Variabilidade espacial de teores de nutrientes em folhas de soja como ferramenta para agricultura de precisão.