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	Provedor de dados AGRIAMBI (2) Autor Silva,Flávio C. da (2) Angelkorte,Gerd B. (1) Aranha,Felipe N. (1) Barros,Murilo M. de (1) Correia,Ricardo C. de B. (1) Costa,Anderson G. (1) Ferraz,Gabriel A. e S. (1) Guardiola,Juan F. H. (1) Silva,Fábio M. da (1) Teixeira,Luciana P. (1) Mais... Palavra-chave Agricultural tractor (1) Biofuels (1) Coffee cultivation (1) Gas emissions (1) Management (1) Maturation (1) Supervised classifiers (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (1) 2018 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Use of classifier to determine coffee harvest time by detachment force AGRIAMBI Barros,Murilo M. de; Silva,Fábio M. da; Costa,Anderson G.; Ferraz,Gabriel A. e S.; Silva,Flávio C. da. ABSTRACT Coffee quality is an essential aspect to increase its commercial value and for the Brazilian coffee business to remain prominent in the world market. Fruit maturity stage at harvest is an important factor that affects the quality and commercial value of the product. Therefore, the objective of this study was to develop a classifier using neural networks to distinguish green coffee fruits from mature coffee fruits, based on the detachment force. Fruit detachment force and the percentage value of the maturity stage were measured during a 75-day harvest window. Collections were carried out biweekly, resulting in five different moments within the harvest period. A classifier was developed using neural networks to distinguish green fruits from mature... Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffee cultivation; Management; Maturation; Supervised classifiers. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000500366 Quantification and qualification of exhaust gases in agricultural diesel engine operating with biodiesel mixtures AGRIAMBI Silva,Flávio C. da; Aranha,Felipe N.; Angelkorte,Gerd B.; Guardiola,Juan F. H.; Teixeira,Luciana P.; Correia,Ricardo C. de B.. ABSTRACT Diesel cycle engines are widely used in agricultural machinery. Biodiesel offers the possibility of partial or total replacement of mineral diesel, thus reducing the dependence of agriculture on this non-renewable resource and decreasing pollutant emissions. The objective of this study was to evaluate the emissions of CO, NOx, SO2, CO2, and O2 from various biodiesel mixtures (B0 = 0%, B7 = 7%, B10 = 10%, B20 = 20%, B30 = 30% and B100 = 100%) in a single-cylinder tractor engine at 1000, 1600 and 2400 rpm. The exhaust gases were identified using a gas probe meter. Fuels with a higher percentage of biodiesel have the lowest SO2 emissions, with the B30 mixture releasing 65.78, 52.47 and 32.25 parts per million at 1000, 1600 and 2000 rpm, respectively.... Tipo: Info:eu-repo/semantics/article Palavras-chave: Gas emissions; Agricultural tractor; Biofuels. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001000794 Registros recuperados: 2 Primeira ... 1 ... Última

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