Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados Scientia Agricola (3) Autor Maldaner,Leonardo Felipe (3) Molin,José Paulo (3) Canata,Tatiana Fernanda (1) Dias,Carlos Tadeu dos Santos (1) Spekken,Mark (1) Palavra-chave Accuracy (1) Differential correction (1) Line maps (1) Local analysis (1) Map accuracy (1) Precision agriculture (1) RTK (1) SBAS (1) Sugarcane variability (1) Yield monitor (1) Mais... Tipo do documento Info:eu-repo/semantics/article (3) Ano 2022 (1) 2021 (1) 2020 (1) País Brazil (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última A statistical approach to static and dynamic tests for Global Navigation Satellite Systems receivers used in agricultural operations Scientia Agricola Maldaner,Leonardo Felipe; Canata,Tatiana Fernanda; Dias,Carlos Tadeu dos Santos; Molin,José Paulo. ABSTRACT: The adaptation of the Global Navigation Satellite Systems (GNSS) technology to fit the needs of farmers requires knowledge of the accuracy level delivered by a GNSS receiver in working conditions. To date, no methodology indicates the minimum number of replications to perform a statistical comparison. This study aims to advance knowledge on the methodological approach for evaluating the static and dynamic performance of GNSS receivers commonly used in agricultural operations. For the static test, a supporting frame in the ground carried all the receivers with coordinates properly transported. In the dynamic test, a circular rail with a 9.55 m radius was installed at ground level with a platform driven by an electric motor to carry the receivers... Tipo: Info:eu-repo/semantics/article Palavras-chave: RTK; SBAS; Accuracy; Differential correction. Ano: 2021 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000500101 Data processing within rows for sugarcane yield mapping Scientia Agricola Maldaner,Leonardo Felipe; Molin,José Paulo. ABSTRACT: The mapping of sugarcane yield is still not as widely available as it is for grain crops. Sugarcane harvesters cut and process the cane in a single or maximum of two rows, facilitating the monitoring of cane yield and its behavior on a small scale. This study tested a method for sugarcane yield data cleaning, investigating if the data recording frequency influences the characterization of yield variations in mapping high-resolution spatial data within a single row. Four data sets from yield monitors of single row harvesting were used. A cleaning process with global and anisotropic filtering in a single sugarcane row was applied. The local outlier cleaner compares the yield value of a point with its nearest neighbors within the same row. Even... Tipo: Info:eu-repo/semantics/article Palavras-chave: Yield monitor; Sugarcane variability; Line maps. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000500101 Methodology to filter out outliers in high spatial density data to improve maps reliability Scientia Agricola Maldaner,Leonardo Felipe; Molin,José Paulo; Spekken,Mark. ABSTRACT The considerable volume of data generated by sensors in the field presents systematic errors; thus, it is extremely important to exclude these errors to ensure mapping quality. The objective of this research was to develop and test a methodology to identify and exclude outliers in high-density spatial data sets, determine whether the developed filter process could help decrease the nugget effect and improve the spatial variability characterization of high sampling data. We created a filter composed of a global, anisotropic, and an anisotropic local analysis of data, which considered the respective neighborhood values. For that purpose, we used the median to classify a given spatial point into the data set as the main statistical parameter and took... Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Local analysis; Map accuracy. Ano: 2022 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000100102 Registros recuperados: 3 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco