Optimization of Main Link Lengths of Transplanting Device of Semi-Automatic Vegetable Transplanter

Hwang, Seok-Joon; Park, Jeong-Hyeon; Lee, Ju‐Yeon; Shim, Seung Bo; Nam, Ju–Seok

doi:10.3390/agronomy10121938

Cited by 16 publications

(11 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the above equation, k represents the iteration number, X (k) is the current design point and ∆X (k) is the variations in the current design. As shown by Equation (31), detection of shifts in the current design point (∆X (k) ) toward a more optimal solution is itself made of two subproblems: the desirable search direction vector (d (k) ) over the design space, and the scalar value of the desirable step size (α k ) along this search direction.…”

Section: Qnm-based Optimal Design Processmentioning

confidence: 99%

“…The design baseline is a multi-objective optimal design, an area of mathematical optimization involving more than one objective function to be optimized simultaneously. The genetic algorithm (GA), as a highly popular evolutionary algorithm having well-tried records in agricultural engineering [29][30][31][32], is employed and hybridized with a goal attainment method in the synthesis of the first mechanism, whereas a quasi-Newton optimization method (QNM) is used for the second mechanism synthesis. The results from both optimal design methods are compared with each other and with those of other studies, and then the two mechanisms are simulated statically and dynamically to verify the results.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Objective Optimal Design and Development of a Four-Bar Mechanism for Weed Control

et al. 2022

View full text Add to dashboard Cite

Weeds compete with crops for water, nutrients, and light consequently, have adverse effects on the crop yield and overall productivity. Mechanical weeding is the most common non-chemical method for weed control, which is applied in organic farming, and the weed cultivator is the most common implement in mechanical weeding. This study aimed to design and develop an innovative active tool to optimize the cultivation depth, which can avoid damage to crop roots and improve the key performance indicators of an inter-row cultivator. A quasi-Newton optimization method and a hybrid of the non-dominated sorting genetic algorithm (NSGA-II) and goal attainment method were separately applied to synthesize and develop a four-bar mechanism for weeding requirements. The transmission angle of the mechanism and the desired path of the weeding blade were simultaneously optimized using these multi-objective optimization techniques. The performance of the developed four-bar cultivator based on the optimization techniques was compared with the ones developed based on the classic methods and also with several conventional tools evaluated in other studies. The results showed that applying the quasi-Newton optimization method and hybrid genetic algorithm can propose a more effective weed cultivator in terms of performance indicators, namely weeding performance, mechanical damage to crop plants and cultivation depth. In addition, the optimization of the transmission angle guaranteed the smooth rotations in the mechanism’s joints.

show abstract

Section: Qnm-based Optimal Design Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimal Design and Development of a Four-Bar Mechanism for Weed Control

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Cultivating shallots with seeds requires a transplanting process after the seeds grow into seedlings. Transplantation is the process of moving seeds or young plants from the nursery to the field (Hwang et al, 2020). The process of moving seedlings can cause mechanical damage resulting in breaking off the main roots and root hairs, due to the process of moving seedlings from the nursery to the field.…”

Section: Introductionmentioning

confidence: 99%

March 2024

2024

Aust J Crop Sci

View full text Add to dashboard Cite

This study aimed to evaluate and analyze the effect of priming using GA3 on the growth of various shallot varieties from seeds. This pot study was conducted at Exfarm, Faculty of Agriculture, Hasanuddin University from July to September 2022. The research was arranged in factorial with a randomized complete block design (RCBD) with two treatment factors. The first factor was seed priming consisting of control or no priming (S0), priming with water (S1), 25 mg L -1 GA3 (S2), 50 mg L -1 GA3 (S3) and 75 mg L -1 GA3 (S4). The second factor is the variety consisting of Tuk-Tuk (v1), Sanren F1 (v2), Lokananta (v3), and Maserati (v4). Seed performance testing is carried out by planting prime seeds in pots. Meanwhile, parameters observed included six agronomic parameters and three chlorophyll parameters. The results show that priming with GA3 at concentration of 75 mg L -1 significantly influence the plant height, number of leaves, fresh weight, chlorophyll b content, and total chlorophyll. Variety treatments recorded different responses to various parameters. The Lokananta variety recorded the highest average plant height and dry seedling weight. The Maserati variety recorded the largest average diameter of pseudo stems. Meanwhile, the interaction between GA3 at 75 mg L -1 and the Maserati variety has a significant effect on the root length of shallot seedlings. Then, the interaction between Tuk-Tuk varieties and GA3 75 mg L -1 priming gave the best effect on chlorophyll content.

show abstract

“…The cam type employs a cam that opens and closes the hopper by contacting the bearing. This type is particularly suited for small cultivation areas because of its simple design and user-friendly operation [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Stress Simulation on Cam-Type Transplanting Device of Semiautomatic Vegetable Transplanter

Markumningsih,

Hwang,

Kim

et al. 2023

Agriculture

Self Cite

View full text Add to dashboard Cite

Stress measurements play a crucial role in safety analyses of transplanting devices. Strain gauges for stress measurements during field tests can be expensive and time-consuming. The aim of this study was to investigate the stress on the transplanting device of a cam-type semiautomatic vegetable transplanter using a simulation method. A three-dimensional simulation model was established, considering the dimensions and material properties of the transplanting device. The stress distribution and maximum stress values were obtained through simulations. The maximum stress values at 15 points within the transplanting device determined via the simulation were compared with the experimental stress data to verify the stress simulation model. The results show that the maximum stress obtained from the simulation correlated with that of the measured results, although differences were observed at different locations, particularly at strain gauge positions 11 and 13. Based on the simulation results, the maximum stress occurs at the upper link of the cam-type transplanting device, reaching a magnitude of 201.21 MPa, and the static safety factor is 1.04.

show abstract

Optimization of Main Link Lengths of Transplanting Device of Semi-Automatic Vegetable Transplanter

Cited by 16 publications

References 10 publications

Multi-Objective Optimal Design and Development of a Four-Bar Mechanism for Weed Control

Multi-Objective Optimal Design and Development of a Four-Bar Mechanism for Weed Control

March 2024

Stress Simulation on Cam-Type Transplanting Device of Semiautomatic Vegetable Transplanter

Contact Info

Product

Resources

About