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Quality of mechanical peanut sowing and digging using autopilot AGRIAMBI
Zerbato,Cristiano; Furlani,Carlos E. A.; Oliveira,Mailson F. de; Voltarelli,Murilo A.; Tavares,Tiago de O.; Carneiro,Franciele M..
ABSTRACT Over the past decade, automatic guidance of agricultural machinery via Global Navigation Satellite System (GNSS) signals has been increasingly adopted by the farming community. Peanut farmers are adopting such technology in order to improve the parallelism of operations to address difficulties that occur in mechanical digging, where losses are a big problem. This study aimed to evaluate mechanized operations of peanut sowing and digging controlled manually and by autopilot, along with their quality. The treatments consisted of two digging operations, with and without autopilot, and two displacement speeds (4.5 and 6.0 km h-1). The experiment was conducted in a medium-textured soil in a completely randomized design arranged in bands, using the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Arachis hypogaea L.; Statistical process control; Kinematic relative positioning; Parallelism; Digging losses.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000800630
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