LOSS SAMPLING METHODS FOR SOYBEAN MECHANICAL HARVEST

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade de Sorocaba-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorPaixão, Carla Segatto Strini-
Autor(es): dc.creatorVoltarelli, Murilo Aparecido-
Autor(es): dc.creatorSouza, Jarlyson Brunno Costa-
Autor(es): dc.creatorDE BRITO FILHO, Armando Lopes-
Autor(es): dc.creatorDA SILVA, Rouverson Pereira-
Data de aceite: dc.date.accessioned2025-08-21T16:47:01Z-
Data de disponibilização: dc.date.available2025-08-21T16:47:01Z-
Data de envio: dc.date.issued2023-03-02-
Data de envio: dc.date.issued2023-03-02-
Data de envio: dc.date.issued2022-02-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.14393/BJ-v38n0a2022-56409-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/242166-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/242166-
Descrição: dc.descriptionHarvesting 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.-
Descrição: dc.descriptionUniversidade Estadual Paulista-
Descrição: dc.descriptionUniversidade de Sorocaba, SP-
Descrição: dc.descriptionUniversidade Federal de São Carlos, SP-
Descrição: dc.descriptionUniversidade Estadual de São Paulo (Unesp) School of Agricultural and Veterinarian Sciences, SP-
Descrição: dc.descriptionEngineering and Exact Sciences Department Universidade Estadual de São Paulo (Unesp) School of Agricultural and Veterinarian Sciences, SP-
Descrição: dc.descriptionUniversidade Estadual de São Paulo (Unesp) School of Agricultural and Veterinarian Sciences, SP-
Descrição: dc.descriptionEngineering and Exact Sciences Department Universidade Estadual de São Paulo (Unesp) School of Agricultural and Veterinarian Sciences, SP-
Idioma: dc.languageen-
Relação: dc.relationBioscience Journal-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectControl Charts-
Palavras-chave: dc.subjectGlycine max L-
Palavras-chave: dc.subjectGrain Harvester-
Palavras-chave: dc.subjectLoss Methodology-
Palavras-chave: dc.subjectStatistical Process Control-
Título: dc.titleLOSS SAMPLING METHODS FOR SOYBEAN MECHANICAL HARVEST-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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