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Fuel consumption of a tractor in function of wear, of ballasting and tire inflation pressure REA
Spagnolo,Roger T.; Volpato,Carlos E. S.; Barbosa,Jackson A.; Palma,Marcos A. Z.; Barros,Murilo M. de.
When using appropriate inflation pressures and load capacity (ballast), it may obtain a higher yield and prolongation of the life of the tire, besides it may minimize the problems of loss of traction, increased slippage and fuel consumption. This study aimed to evaluate the fuel consumption of a tractor operating with new and worn tires in three conditions of ballasting and three inflation pressures, when driving on compacted soil with vegetation cover. The experiment was conducted at the experimental unit from the Department of Animal Science, Federal University of Lavras, state of Minas Gerais, Brazil, in an agricultural soil compacted by cattle trampling and with vegetation cover. It was used a tractor 4x2 with front wheel assist, of a 65.62 kW engine...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agricultural machinery; Tractor test; Tractive force.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100014
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PARAMETERS OF OPERATIONAL PERFORMANCE OF SOIL PREPARATION AND SEMI-MECHANIZED TRANSPLANTATION OF COFFEE SEEDLING REA
Cunha,João P. B.; Silva,Fabio M. da; Andrade,Ednilton T.; Barros,Murilo M. de.
ABSTRACT In recent years, the coffee has undergone major changes, and in case of transplanting operation, the use of machinery has proved to be a viable alternative to producers. Prior knowledge of the influence of the variables that influence the operational capability of these machines can generate models to estimate precisely these parameters, thus enabling the optimization and management of mechanized operations. One of this tool is the use of the response surface methodology, which allows checking the influence of different independent variables and the response generated to allow a great value. This study aims to verify the use of the response surface method to determine parameters of mechanized operations in coffee plant implantation. The results...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Mechanization; Planting seedlings; Coffea Arabica.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000600910
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Performance of a variable-rate distribution system for simultaneous fertilizer application AGRIAMBI
Barros,Murilo M. de; Volpato,Carlos E. S.; Silva,Fabio M. da; Conceição,Fagner G. da; Corrêa Júnior,Delorme; Ribeiro,Luiz F..
ABSTRACT The objective of this study was to evaluate the performance of a variable-rate fertilizer distribution system for coffee crop, simultaneously applying two products. Two types of tests were performed: transversal deposition and longitudinal deposition. The transversal deposition test, with tarps, aimed to quantify the variations between programmed and applied doses, using a completely randomized design (CRD), in a factorial scheme, and the Scott-Knott test at p < 0.05. The longitudinal deposition test aimed to determine the distribution characteristics of the equipment along the displacement line, based on relative frequency values. In addition, the application rates on both sides of the distribution system were analysed using a CRD and the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffee production; Precision agriculture; Application at variable doses.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000200188
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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
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