Loss sampling methods for soybean mechanical harvest

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.

Desgaste das facas do corte basal na qualidade da colheita mecanizada de cana-de-açúcar / Basecutter blades wear in quality of mechanized harvesting

Durante o processo de colheita mecanizada de cana-de-açúcar, o desgaste das facas do mecanismo de corte basal é fator diretamente relacionado com a qualidade do corte realizado pelas máquinas, sendo o emprego de ferramentas de controle de qualidade importantes no monitoramento deste processo. Assim, o presente trabalho, desenvolvido na região de Ribeirão Preto, teve por objetivo avaliar o desgaste das facas do corte basal e os danos causados às soqueiras na colheita mecanizada de cana-de-açúcar, sob a ótica do controle estatístico de qualidade (CEQ). O desgaste das facas foi quantificado por meio da perda de massa e de suas dimensões, enquanto a qualidade do corte foi avaliada pela altura e pelos danos às soqueiras, classificados visualmente em função do nível de dano causado. Os resultados obtidos mostraram que o desgaste das facas ocorreu de maneira mais acentuada em determinados períodos de utilização, porém mantendo-se dentro de padrões de controle. A altura de corte não foi afetada pelo desgaste das facas, mantendo-se dentro dos limites de qualidade desejáveis para a operação. Finalmente, os danos causados às soqueiras variaram entre si em função de cada face de corte das facas avaliadas, havendo predominância de determinadas classes de danos em cada face de corte, porém sempre se mantendo dentro dos padrões aceitáveis pelo controle estatístico.

During the sugarcane mechanized harvester process, the wear of base cutting knives is directly correlated to the quality of the cut made by the machines, and the use of quality control tools important in monitoring this process. Thus, the present study in Ribeirão Preto region aimed to assess the knives cut baseline and damage caused to wear brass knuckles in mechanized harvesting of cane raw sugar, from the viewpoint of statistical quality control (SQC). The wear of the knives was quantified by mass loss and its dimensions, while cutting quality was assessed by cutting height and damage to stumps visually classified according to the level of damage caused. The results showed that the wear of the knives was more pronounced in certain periods of use, but still within control standards. The cutting height was not affected by the wear of the knives, keeping within the limits of desirable quality for operation. Eventually damage the stumps ranged among themselves depending on each face of the cutting knives evaluated, and the predominance of certain classes of damage in each cutting face, but always remained in statistical control.