Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans

Júnior, Antônio Maurício Loureiro; Silva, Rouverson Pereira da; Cassia, Marcelo Tufaile; Compagnon, Ariel Muncio; Voltarelli, Murilo Aparecido

doi:10.1590/s0100-69162014000100009

Cited by 8 publications

(2 citation statements)

References 8 publications

(8 reference statements)

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“…CVs were very high for ground, plant, and total losses for both harvesting speeds. Likewise, Loureiro Junior, Silva, Cassia, Compagnon, and Voltarelli (2014) and Zerbato, Silva, Torres, Silva, and Furlani (2014) also reported high CV values for the mechanical harvesting losses of soybeans and peanuts, respectively, showing the great variability of the process. All loss variables had greater CVs in plot 1.…”

Section: No Spatial Analysismentioning

confidence: 85%

Variability of harvest loss in relation to physiological characteristics of cotton

et al. 2020

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Pearson's correlation and spatial variability are tools that can be used to help one understand the process of losses in the mechanical harvesting of cotton. Therefore, the objective of this study was to model the spatial distribution and map the losses of mechanical cotton harvest using geostatistics and to correlate the losses with agronomic variables using Pearson’s correlation. The experiment was conducted in Itiquira and Lucas do Rio Verde, Mato Grosso State, Brazil. At each sampling point, the evaluated variables were agronomic plant variables and cotton losses in the soil and the plant (divided into lower, medium and upper thirds) and the sum total of losses. The highest losses in cotton harvest occurred in the lower third and on the soil, both of which exhibit a spatial dependence model, according to geostatistics, demonstrating that they do not occur in a randomized process and are related to the specific plant. There was a relationship between the plant populations with losses in the cotton crop. The plant population can influence the spatial dependence of losses.

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Section: No Spatial Analysismentioning

confidence: 85%

Variability of harvest loss in relation to physiological characteristics of cotton

et al. 2020

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“…Portella (2000) stated that the area of the frame must be established using a rectangle of string and wood, with one side of a width equal to the cutting platform and the other side lengths that result in a rectangular area of 1 m 2 . However, studies have shown that variations in the rectangular frame do not cause differences in quantification (Loureiro Júnior et al 2014;Cortez et al 2019).…”

Section: Loss Sampling Methods For Soybean Mechanical Harvestmentioning

confidence: 99%

Loss sampling methods for soybean mechanical harvest

Paixão

Voltarelli²,

Souza³

et al. 2022

Biosci. J.

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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.

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Can combine headers and travel speeds affect the quality of soybean harvesting operations?

Menezes

Silva

Carneiro

et al. 2018

Rev. bras. eng. agríc. ambient.

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Assuring the quality of mechanical soybean harvesting is crucial to ensure that investment in other stages of crop production is converted into profit for the farmer. Because the quality of this operation is related to decreased losses, which may be affected by the combine header used and by the harvesting speed, the aim of the present study was to assess the quality of mechanical soybean harvesting in the Southern Cone of Rondônia, using harvesters with different combine headers and travel speeds via statistical process control. The experiment was performed during the 2015/16 harvest in an agricultural area of the municipality of Cabixi, RO, located at the geographical coordinates 13° 27’ S and 60° 41’ W. The study was designed based on the premises of the statistical process control, sampling 80 points 100 m apart. Combine header, internal, total, and cutting height losses were assessed. Quality of the harvesting process was assessed using the draper header. Travel speed had little effect on process quality. Crop losses were higher than the acceptable limit, indicating the need to improve the process.

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Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans

Cited by 8 publications

References 8 publications

Variability of harvest loss in relation to physiological characteristics of cotton

Variability of harvest loss in relation to physiological characteristics of cotton

Loss sampling methods for soybean mechanical harvest

Can combine headers and travel speeds affect the quality of soybean harvesting operations?

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