A Factor Analysis of Garlic Metering Device for Development of a Garlic Planter

Gyoung, Kang Tae; Hee, Lee Sang; Kim, Goo; Keun, Kim Young; Yong, Choi; Soo, Choi Il; Suk, Kwon Young; Je, Lim

doi:10.14397/jals.2018.52.1.143

Cited by 2 publications

(4 citation statements)

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“…Additionally, it was confirmed that Group 1 had a multi-plant rate of 1.47%, Group 2 had a rate of 2.85%, and Group 3 had a rate of 0.49%. These findings demonstrate significantly improved metering performance compared to the test results of Kang et al [3]. Table 5 presents the simulation and test results for the plant rate, multi-plant rate, and missing plant rate.…”

Section: Resultsmentioning

confidence: 59%

“…Garlic planters can be classified based on their power source and divided into selfpropelled and tractor-attached types. They can also be categorized based on the posture of the garlic cloves to be planted, including upright planting, in which the root of the garlic cloves faces downwards, and lie-down planting, in which the garlic cloves are placed horizontally on the ground using free fall [3]. One planter component, the metering device, transfers garlic cloves from the hopper to the planting unit, which then plants them in the field based on the planting method.…”

Section: Introductionmentioning

confidence: 99%

“…The results confirmed that garlic yield was highest at planting angles of 45 • or 90 • and planting depths of 2-4 cm. Additionally, to improve the performance of the metering device, Kang et al [3] experimentally determined the missing plant rate based on the bucket size. The results indicated that the bucket size of the metering device significantly affects the performance index.…”

Section: Introductionmentioning

confidence: 99%

“…Research has been conducted to enhance planting performance not only in garlic but also in other crops [11][12][13][14][15][16][17]. However, studies that utilized experimental approaches have limitations in design variables or operating conditions and are applicable only within specific sample ranges [3,[5][6][7]. Previous studies that used simulation models executed optimal designs without design variable constraints; however, in some cases, the analysis model was not validated [8], and the actual shape of garlic cloves was not considered in the analysis model, constraining its reliability [10,11].…”

Section: Introductionmentioning

confidence: 99%

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Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method

Lee

Kim

et al. 2023

Agriculture

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In this study, the discrete element method was used to optimize the bucket size for the metering device in a garlic planter for enhancing the productivity of garlic farming according to the garlic size. Statistical information concerning the actual shape of garlic cloves was incorporated, and the mechanical properties of garlic were determined using the bulk density, sliding test, and repose angle test for enhancing the fidelity of the simulation model. The optimal bucket size achieving the target plant rate of 97.5% was determined using the developed discrete element model for the three garlic size groups. The linear search method was used for optimization, and batch simulation was performed to validate the optimized results and confirm the performance index of the metering device. A Gaussian distribution based on statistical information accounted for the various garlic sizes in each group. Finally, a metering test verified the reliability of the optimization technique. The differences between the simulation and test results were within 10% for all performance indices, including missing plant rate, multi-plant rate, and planting rate, indicating the high reliability of the analysis model. Subsequently, the larger garlic groups (Groups 2 and 3) exhibited metering performance close to the target plant rate.

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Section: Resultsmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%