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 17 publications

(14 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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“…Associated with the greatest potential for exploration of soybean harvesters, greater efficiency or lower levels of losses during harvest, regardless of the field format, VOLTARELLI et al (2015) state that the use of statistical control applied to the monitoring of crop losses process may prove to be important because it can show a vision of how the process is taking place, indicating possible faults and possible improvements for future operations to the order to increase the quality of it.…”

Section: Introductionmentioning

confidence: 99%

Times of Efficiency and Quality of Soybean Crop Mechanical Operation in Geometry Functions of Plots

et al. 2017

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ABSTRACT:The knowledge of the operational quality of soybean harvester provides useful information to management in order to obtain the maximum performance of all available resources, with minimal expenses. The aimed of this study was to evaluate the quality of mechanized soybean harvesting operation in different formats of plots through statistical process control. Treatments were established from the formats of existing plots in the area (irregular, trapezoidal and rectangular). The activities carried out during the harvest were monitored (harvesting, unloading, handling, maneuvering and climate charts) and through these activities were made the calculation of capacity and harvesting operation efficiencies. In the determination of total losses were used 4 circular frames of 0.33 m² each, the grain losses were considered below and above these frames. The statistical analysis was by means of statistical process control opting for the use of the type CUSUM charts. The rectangular plot showed greater management efficiency and harvesting efficiency. The trapezoidal shape facilitated the maneuvers relative to others. The rectangular plot has better quality of operation in relation to others. The CUSUM control chart showed to be effective in preventing instability and maintenance of process quality.

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

Cited by 17 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?

Times of Efficiency and Quality of Soybean Crop Mechanical Operation in Geometry Functions of Plots

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