Development of artificial neural network models for the performance prediction of an inclined plate seed metering device

Anantachar, M.; Kumar, G. V. Prasanna; Guruswamy, T.

doi:10.1016/j.asoc.2011.02.006

Cited by 16 publications

(5 citation statements)

References 18 publications

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“…A complex flow rate of paddy rice kernels was conducted using a horizontally rotating cylinder with holes on its periphery, while Artificial Neural Network method and regression were utilized for analysis. The most suitable cylinder design was found to be 36 nozzles of 6 mm diameter on the drum perimeter along with the angular velocity of 61 r/min [24][25][26] . The bench test stand integrated with computerized camera system for seed observing to explore the best performance of pneumatic disk for rapeseed distribution accuracy was employed.…”

Section: Introduction mentioning

confidence: 99%

Design and experiment of multi-row pneumatic precision metering device for rapeseed

Ibrahim¹,

Liao²,

Wang³

et al. 2018

International Journal of Agricultural and Biological Engineering

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The main objective of this study was to design a pneumatic disk with four-rows for planting rapeseed and to investigate its performance under several rotating speeds and vacuum pressure values. The effects of rotating speeds, vacuum pressure and rows on seed sucking and retaining were inspected. Six rotating speeds (5 r/min, 10 r/min, 15 r/min, 20 r/min, 25 r/min and 30 r/min) incorporated with the application of vacuum pressure were employed for detecting the optimum vacuum amount that was sufficient for seed sucking under each speed. These values of vacuum were found to be 1.1 kPa, 1.25 kPa, 1.35 kPa, 1.65 kPa, 1.8 kPa and 2.0 kPa, respectively.Moreover, a regression model was developed for predicting of vacuum pressure that corresponds with each rotating speed. Based on seed mass analysis, statistical differences were found at 5% significance under the influence of speeds and negative pressure and existed also between and within rows according to Duncan's Test.The highest seed mass means of 3.17 g and 3.96 g were obtained by row 1 under the effects of speed and vacuum pressure, respectively, while the lowest means of 2.79 g and 3.05 g were attained by row 4. Due to the influence of rows, important differences were occurred between row 1 (closer to the center of rotation) and row 4 (farther one), particularly under high speeds (25 r/min and 30 r/min).Results concluded that, pneumatic disk with multiple-rows could be satisfactorily used for seed sowing with a little variation in seed amount between rows without any seed damage. The rows of hole farther from plate center of rotation were obviously influenced by angular velocity and vacuum amount rather than the closer ones.

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Section: Introduction mentioning

confidence: 99%

Design and experiment of multi-row pneumatic precision metering device for rapeseed

Ibrahim¹,

Liao²,

Wang³

et al. 2018

International Journal of Agricultural and Biological Engineering

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“…Maleki et al (2006) used the mechanical seeder for the improvement of the seed uniformity. Anantachar, Kumar, and Guruswamy (2011) suggested the artificial neural network model to determine the performance of seed metering device. Karayel et al (2006) recommended the high-speed camera system to detect the uniformity in the seed arrangement, which obtained better results than canvas belt detection method.…”

Section: Precision Planting Systemsmentioning

confidence: 99%

“…(2006) used the mechanical seeder for the improvement of the seed uniformity. Anantachar, Kumar, and Guruswamy (2011) suggested the artificial neural network model to determine the performance of seed metering device. Karayel et al.…”

Section: Precision Planting Systemsmentioning

confidence: 99%

Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review

Ali,

Hassan,

Kaul

2024

J Agronomy Crop Science

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Precision agriculture (PA) has great potential to increase agricultural productivity and profitability while reducing input costs and environmental impacts. Within PA, site‐specific crop management (SSCM) is considered the main premise, in which tillage operations and precise crop inputs (such as seed, fertiliser, water, pesticide and agrochemical) are applied according to field variability. The main aim of this review was to highlight the methods and tools used for spatial crop monitoring, soil and weather data influencing crop productivity and to support the adoption of SSCM technology. To achieve this goal: we discussed the main five components of SSCM, methods for monitoring crop and soil data, delineating field management zones (FMZs) and variable rate technologies (VRT) such as precision planting and digital smart sensors used for SSCM application. The review summarised that recent advances in plant and soil sensing systems, artificial intelligence (AI) and machine learning should be used in retrieving and analysing GIS big data for optimised crop inputs supply. Within VRT, light‐bar systems, automatic controllers and sensors are user‐friendly technologies that should be employed in SSCM solution. The authors highlight that adoption of PA can be increased through proper training and education of the farmers, and developing simple, affordable and efficient PA technologies. The review suggests five criteria that should be strictly adopted to get maximum benefits from SSCM: (i) all factors influencing crop yields can be identified; (ii) their effects on crop yields can be determined by using appropriate digital tools and crop modelling; (iii) variable rate crop inputs (VRCIs) should be calculated based on accurate information obtained from plant, soil and environment; (iv) targeted crop inputs should be exercised through global positioning system (GPS) enabled automatic controllers or wireless sensors network (WSN); and (v) right doses of crop inputs (e.g., nitrogen and irrigation) must be applied at the right time and place.

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“…Precision seeding techniques can increase both corn yields and revenues [1,2]. In precision sowing, the seed metering device is a key component and its performance will have a direct impact on crop quality and labor costs [3][4][5]. In this context, development and improvement of seed metering devices depend on convenient and rapid detection of several performance indices, including qualified, miss-seeding, and miss-filling rates [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Design and Experiment of a Wheel Precision Seed-Metering Device with Cells for Corn

2022

Teh. vjesn.

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In this study, a wheel seed-metering device with cells for corn was built to enhance seed-metering performance and shorten the design cycle. The actual seedmetering process was analyzed and the three main factors influencing seed metering were obtained: rotational speed of the seed-metering device, hole diameter, and hole pitch. With the three factors as the test factors, and the QFI, MISS and MULT index as the test indexes, the multiple quadratic rotation orthogonal combination test was carried out. Using Design-Expert 8.0.6 to analyze the test data, the mathematical model between the test factors and the test index was obtained. The parameter optimization results indicate that optimal performance of the seed-metering device can be achieved under a rotational speed of 30.32 rpm, hole diameter of 13 mm, and hole pitch of 45 mm, qualification rate, miss-seeding rate, and reseeding rate were 94.99%, 1.93%, and 3.08%, respectively. Under the optimal parameter combination, the field test proved that the qualification rate, miss-seeding rate, and reseeding rate were 91.81%, 3.08%, and 5.11%, respectively. The test results were close to the optimization results, which could show the agronomic requirements of the precision sowing of maize.

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Development of artificial neural network models for the performance prediction of an inclined plate seed metering device

Cited by 16 publications

References 18 publications

Design and experiment of multi-row pneumatic precision metering device for rapeseed

Design and experiment of multi-row pneumatic precision metering device for rapeseed

Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review

Design and Experiment of a Wheel Precision Seed-Metering Device with Cells for Corn

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