Development of an opto-electronic measurement system for planter laboratory tests

Çay, Anıl; Kocabıyık, Habib; Karaaslan, Bilal; May, S.C.; Khurelbaatar, Myagmarsuren

doi:10.1016/j.measurement.2017.01.060

Cited by 20 publications

(13 citation statements)

References 6 publications

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“…The spacing between seeds was calculated through the sowing speed simulated by the belt conveyor and the time of passage of each seed, according to Equation (1). The times were measured using an E18-D80NK infrared proximity sensor fixed on a metal frame approximately 0.05 m from the belt (Karimi et al, 2017;Cay et al, 2017). In addition, another infrared sensor was strategically positioned on the cogwheel (16 teeth) on the roller that moved the belt, allowing the measurement of the simulated speed (Santos et al, 2011).…”

Section: Automated Data Acquisitionmentioning

confidence: 99%

Influence of Seed Tube Curvature on Seed Longitudinal Distribution

et al. 2020

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Studies on the longitudinal distribution of seeds in the sowing row seek to improve crop homogeneity, thus generating high productivity. In this context, seed tubes must be analyzed for their angular curvature. Thus, this study aimed to evaluate the influence of the seed tube curvature on the longitudinal distribution of corn and soybean seeds at different speeds. Two experiments were conducted completely randomized in a double factorial design. The first factor consisted of the seed tube curvature (straight and curved) and the second factor consisted of sowing speeds (1.11, 1.39, and 1.67 m s −1 for corn and 1.39, 1.67, 1.94, and 2.22 m s −1 for soybean), with five replications. The parameters analyzed to measure the longitudinal distribution were the number of seeds per meter, average spacing, double, flawed, and acceptable spacings, coefficient of variation, and precision index. The results were subjected to normality and homogeneity tests of residuals, followed by an analysis of variance and Tukey test, when significant. The curved seed tube showed the highest efficiency in the measured parameters for both corn and soybean. The increase in sowing speed had a negative influence on the evaluated parameters, especially in the soybean crop.

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Section: Automated Data Acquisitionmentioning

confidence: 99%

Influence of Seed Tube Curvature on Seed Longitudinal Distribution

et al. 2020

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“…For the good system performance the high coefficient of determination (R 2 ), low MAPE and e i , minimum value of intercept (β 0 ) as close to zero and closer value of slope (β 1 ) to one, are the indicators. The mean absolute percentage error and absolute difference value were found out using by following equations (Cay et al, 2017).…”

Section: Measurement Of Seed Spacingmentioning

confidence: 99%

“…The recent development of optical sensors led to rapid industrial automation and measurement due to the advantages viz., high sensitivity and fast response time, ease of use and data acquisition (Cay et al, 2017). Kocher et al, (1998) developed opto electronic system consisting light emitting diodes and photo transistors to measure time between seed drop and location of seed drop reference to planter.…”

Section: Introductionmentioning

confidence: 99%

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Development of Infra-red based Opto Electronic Measurement System for Planter Seed Spacing under Laboratory Conditions

Surendrakumar¹,

Asokan²

2021

Int.J.Curr.Microbiol.App.Sci

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“…In order to obtain desirable crop yields, grain seeds not only need to be sown at the optimal seeding amount per hectare, but also should be distributed uniformly in the field [ 1 , 2 , 3 ]. Studies reported that to achieve the above aim, the seeding rates should be controlled as accurately as possible in a short distance.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Roller Speed Control Method Based on Monitoring Value of Real-Time Seed Flow Rate for Flute-Roller Type Seed-Metering Device

Liu

Zhao

et al. 2020

Sensors

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In order to obtain desirable crop yields, grain seeds need to be sown at the optimal seed amount per hectare with uniform distribution in the field. In previous grain sowing processes, the seeding rates are controlled by the rotational speed of the flute roller which significantly effects the uniform distribution of the seeds due to disturbances, such as the reduction of the seeds’ mass in the hopper and the change of working length of the flute roller. In order to overcome the above problem, we developed an adaptive roller speed control system based on the seed flow rate sensor. The developed system can monitor and feedback actual seeding rates. In addition, based on the monitoring value of the real-time seeding rates, an adaptive roller speed control method (ARSCM), which contains an algorithm for calculating the seeding rate with a compensation, was proposed. Besides, the seeding performance of the ARSCM and that of the conventional roller speed control method (CRSCM) were compared. The results of constant-velocity experiments demonstrated that the accuracy (SA) and the coefficient of variation (SCV) of the seeding rates controlled by the ARSCM were 94.12% and 6.77%, respectively. As for the CRSCM, the SA and SCV were 89.00% and 8.95%, respectively. Under variable-velocity conditions, the SA and SCV of the proposed system were 91.58% and 11.08%, respectively, while those of the CRSCM were 88.48% and 13.08%, respectively. Based on the above results, this study concluded that the ARSCM is able to replace the CRSCM in practical sowing processes for the optimal and uniform seed distribution in the field.

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Development of an opto-electronic measurement system for planter laboratory tests

Cited by 20 publications

References 6 publications

Influence of Seed Tube Curvature on Seed Longitudinal Distribution

Influence of Seed Tube Curvature on Seed Longitudinal Distribution

Development of Infra-red based Opto Electronic Measurement System for Planter Seed Spacing under Laboratory Conditions

An Adaptive Roller Speed Control Method Based on Monitoring Value of Real-Time Seed Flow Rate for Flute-Roller Type Seed-Metering Device

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