Loss sampling methods for soybean mechanical harvest
Biosci. j. (Online)
;
38: e38050, Jan.-Dec. 2022. tab, graf
Artigo
em Inglês
| LILACS
| ID: biblio-1396146
ABSTRACT
Harvesting is one of the most important stages of the agricultural production process. However, the lack of monitoring during this operation and the absence of efficient methodologies to quantify losses have contributed to the decline in the quality of the operation. The objective of this study was to monitor mechanized soybean harvest by quantifying losses through two methodologies using statistical process control. The study was conducted in March 2016 in an agricultural area in the municipality of Ribeirão Preto, SP, using a John Deere harvester model 1470 with a tangential-type track system and separation by a straw-blower. The experimental design followed the standards established by statistical process control, and every 8 min of harvest, the total losses by the circular framework and rectangular framework methodologies were simultaneously quantified, totaling 40 points. Data were analyzed using descriptive statistics and statistical process control. The averages of the circular methodology framework were values above those found in the rectangular methodology framework, presenting greater representativeness of losses. The process was considered unable to maintain losses of soybeans at acceptable levels during mechanical harvest throughout the operation of the two frameworks. The circular framework for collecting samples at different locations resulted in higher reliability of data.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Automação
/
Glycine max
/
Estatística
/
Produção Agrícola
Idioma:
Inglês
Revista:
Biosci. j. (Online)
Assunto da revista:
Agricultura
/
Disciplinas das Cincias Biol¢gicas
/
Pesquisa Interdisciplinar
Ano de publicação:
2022
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
Universidade Estadual de São Paulo/BR
/
Universidade Estadual Paulista/BR
/
Universidade Federal de São Carlos/BR
/
Universidade de Sorocaba/BR
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