Qualidade do corte basal de cana-de-açúcar utilizando-se de três modelos de facas

Voltarelli, Murilo Aparecido; Silva, Rouverson Pereira da; Cassia, Marcelo Tufaile; Ortiz, Danilo F.; Torres, Luma Stefânia

doi:10.1590/1809-4430-eng.agric.v35n3p528-541/2015

Cited by 19 publications

(18 citation statements)

References 13 publications

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“…Several studies used the SPC as a tool to assess the quality of the mechanical harvesting process and demonstrate a potential tool to be applied in agriculture (Noronha et al, 2011;Chioderoli et al, 2012;Bertonha et Santos et al 4895 al., 2014;Voltarelli et al, 2015), mainly because of the possibility of correcting failed points, which considerably increases the final quality of the process, as well as the net return to agricultural activity. From that exposed, it presupposes that the losses in mechanical harvesting of peanuts have temporal variability that can be reduced with the use of automatic guidance, which is aimed at evaluating the quality of digging mechanized peanuts with and without the use of autopilot at sowing and digging, using the losses as quality indicators through statistical process control techniques.…”

Section: Introductionmentioning

confidence: 99%

Quality of mechanized peanut digging in function of the auto guidance

Santos¹,

Kazama²,

Ormond³

et al. 2016

Afr. J. Agric. Res.

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Within the context of precision agriculture, the use of automatic guidance is without a doubt one of the most popular tools among farmers, however, are few producers of peanuts using this technology, the benefits from this technology can bring significant gains for culture even more when thinking about reducing the indices of losses in the digging. Thus, it objective was to evaluate the variability of quantitative losses of peanut mechanized digging with use the autopilot, using the Statistical Process Control. The treatments consisted of absence of autopilot use in sowing and digging, pilot's absence at sowing and presence in the digging, pilot use at sowing and absence in the digging and the pilot use in sowing and digging. In each treatment, 15 points of each variable was collected from distance of 50 m apart. Visible, invisible and total losses in the digging and parallelism were evaluated. The reduction of the plant material on the vibratory mat affected the levels of visible losses. Total losses are strongly correlated with the invisible losses. The use of the autopilot allows the operator to pay more attention to the digging operation improving the quality of the operation. The average error found between passes of the mechanized set using autopilot was 0.35 m. The variability of the losses as well as of parallelism was reduced when using the autopilot in two operations, providing a higher quality process.

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Section: Introductionmentioning

confidence: 99%

Quality of mechanized peanut digging in function of the auto guidance

Santos¹,

Kazama²,

Ormond³

et al. 2016

Afr. J. Agric. Res.

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“…Thus, a sugarcane crop can be classified as favorable to harvest initially but, after harvester passing, this condition can be changed by the action of row dividers. Although Voltarelli et al (2015) and Noronha et al (2011) stated that sugarcane upright position is ideal for mechanized harvesting, these authors did not assess field lodging level. Given the sugarcane harvester mechanism, another factor favoring ratoon damages and losses is plant position in relation to the harvester path.…”

Section: Resultsmentioning

confidence: 99%

“…Ratoon losses were assessed by a manual force applied to ratoons, estimating their mobilization within the soil and classifying it according to the intensity of force needed to move/tumble stems to the sides (strong, medium, and weak). Based on this classification, loss index (LI) was classified into three levels: strong (0.66 < LI ≤1.0), medium (0.33 ≤ LI ≤0.66), and weak (0.00≤ LI <0.33), based on the method of Voltarelli et al (2015), so that the greater the mobilization, the greater the loss of ratoons. Loss index was estimated as per [eq.…”

Section: Methodsmentioning

confidence: 99%

Can Basal Cutting Blade Wear Affect Sugarcane Regrowth?

et al. 2020

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Sugarcane harvester cutting blade wear increases ratoon damages and losses, impairing sugarcane regrowth. This study aimed to evaluate the quality of basal cut using ratoon damage and loss indexes and correlating them with effects on sugarcane regrowth. Harvest parameters such as plant height and position, damage and loss indexes, and stem length were evaluated every 30 min, following statistical process control (SPC) assumptions. Blade wear was examined during three harvesting shifts (0-8 h, 8-16 h, and 16-24 h). Sugarcane regrowth was assessed by counting number of tillers and measuring plant height and stem diameter. The second harvesting shift showed better quality in terms of damage and loss indexes, and plant height and stem diameter. Harvesting was considered out of control for parameters such as cutting height, number of tillers, plant height, and stem diameter. On the other side, it was regarded as under control for damage and loss indexes, and plant high and position. The first shift presented peripheral or no damages and weak to medium loss levels, whereas the second and third ones showed extreme damages and medium to strong losses.

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“…Most studies used control charts to identify the occurrence of special causes Silva et al, 2013b;Voltarelli et al, 2013Voltarelli et al, , 2014Voltarelli et al, , 2015Noronha et al, 2011;Custodio et al, 2012). Chioderoli et al (2012) reported that control charts can be used efficiently to evaluate the quality of Felipe B. F. de Lima, Michel A. F. da Silva, Rouverson P. da Silva, et al Eng.…”

Section: Introductionmentioning

confidence: 99%

Quality of Mechanical Soybean Harvesting at Two Travel Speeds

Lima

Silva

2017

Eng. Agríc.

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Soybean harvesting is the last operation performed in the field and therefore has high added value. Quantitative losses during this process should therefore be minimized to achieve maximum quality and increase the sustainability of the production system. The aim of the present study was to determine and characterize the quantitative losses and operational characteristics of an axial-flow combine harvester, using tools from Statistical Quality Control to determine the quality of the harvesting operation. The experiment was designed in accordance with the assumptions of statistical process control, with a total of 40 sampling points monitored over time. Quality indicators of harvester performance and crop agronomic characteristics were evaluated at two harvester travel speeds (5 and 7 km h -1 ). The stability of the process was confirmed for the variables indicated by the analysis of run charts for the variables engine water temperature at a travel speed of 5 km h -1 ; engine oil pressure, fuel consumption and cutting height at a travel speed of 7 km h -1 ; and losses at both speeds, indicating that these were only affected by natural causes.

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Qualidade do corte basal de cana-de-açúcar utilizando-se de três modelos de facas

Cited by 19 publications

References 13 publications

Quality of mechanized peanut digging in function of the auto guidance

Quality of mechanized peanut digging in function of the auto guidance

Can Basal Cutting Blade Wear Affect Sugarcane Regrowth?

Quality of Mechanical Soybean Harvesting at Two Travel Speeds

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