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Santos,Adão F. dos; Correa,Lígia N.; Gírio,Lucas A. S.; Paixão,Carla S. S.; Silva,Rouverson P. da. |
ABSTRACT The use of automatic routing significantly increases the yield and quality of agricultural operations and reduces the overlap rates between the mechanized set passes during the operation. The objective of this study was to analyse the quality of peanut sowing using automatic routing in two paths, curved and rectilinear, based on the error of parallelism and execution error, through statistical process control. The maps used came from an area of peanut seed production, in the city of Luzitânia, São Paulo, Brazil. The sowing was carried out by the execution of a project elaborated in CAD software that, for its elaboration, was taken into consideration the working width of the seeder-fertilizer, as well as the spacing of the crop. The CenterPoint RTX... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Precision agriculture; Peanut; GNSS; Parallelism; RTX. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000400568 |
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Santos,Adão F. dos; Silva,Rouverson P. da; Tavares,Tiago O.; Ormond,Antonio T. S.; Rosalen,David L.; Assis,Leonardo C. de. |
ABSTRACT GNSS positioning errors are certain, regardless of the adopted positioning method. In agriculture, these errors may represent higher or lower overlapping rates between passes of a mechanical assembly, affecting operation quality. Therefore, this study evaluated the main errors arising from peanut sowing operation performed with an auto-steer guidance system by an RTX signal, using the Statistical Process Control techniques. The errors evaluated were: in tractor lateral displacement, project execution, and parallelism between passes of tractor-seeder set. The average errors of project execution in all passes were within the range specified by the manufacturer, i.e. lower than 3.8 cm. The average error of tractor-seeder set was also within the... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Autopilot; Precision agriculture; Electric auto-steering; RTX; GNSS. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017001000731 |
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