https://doi.org/10.4081/jae.2024.1574
Development of high-speed and precision metering device with gradient-feeding and control seed for soybean planting
Published: 16 April 2024
Abstract Views: 233
PDF: 206
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
High-speed and precision planting was employed to improve the yields of soybean seeds. However, most mechanical seed metering devices had a lower quality index under high-speed. In this study, a high-speed and precision metering device with gradient-feeding (GF) and control-seed (CS) for soybean planting was designed to improve the quality index at high speeds. GF was designed to make soybean seeds rapidly enter seed cells. CS prevented soybean seed that was to be released from being cleared during the clearing stage. Firstly, the range of working parameters of it was determined by theoretical analysis, which included the angle of guiding-slope (α), the angle of seed-control (θ), and mutation height (∆H). Then, orthogonal center combination tests with three-factor and five-level were carried out to determine the corresponding quality index and miss index with different working parameters. The optimal working parameters were determined by regression equations between the quality index and the miss index. The high-speed and precision metering device with GF and CS was thus manufactured based on these optimal working parameters. The simulation test and bench test of it were carried out with different forward speeds of the planter. The results showed that the optimal angle of guiding-slope (α), angle of seed-control (θ), and mutation height (∆H) were 18.06°, 136.67°, and 2.77 mm, respectively. In the bench test, all quality indices were higher than 95.00%, and all miss indices were lower than 3.00% when the forward speed of the planter was 4 - 16 km/h. The results of the bench test were consistent with the results of the simulation test, with an average relative error of 2.33%. High-speed and precision metering device with gradient-feeding (GF) and control-seed (CS) can realize precision planting at high speeds.
Ahmadi E., Ghassemzadeh H. R., Moghaddam M., Kim K. U. 2008. Development of a precision seed drill for oilseed rape. Turk. J. Agric. For. 32:451-458.
Cay A., Kocabiyik H., May S. 2018. Development of an electro-mechanic control system for seed-metering unit of single seed corn planters part II: Field performance. Comput. Electron. Agric. 145:11-17.
DOI: https://doi.org/10.1016/j.compag.2017.12.021
Chen Y., Jia H., Wang J., Wang Q., Hu B. 2017. Design and experiment of scoop metering device for soybean high-speed and precision seeder. Trans. Chin. Soc. Agric. Mach. 48:95-104.
Correia T. P. D. S., Sousa S. F. G. D., Silva P. R., Dias P. P., Gomes, A. R. A. 2016. Sowing performance by a metering mechanism of continuous flow in different slope conditions. Engenharia Agrícola. 36:839-845.
DOI: https://doi.org/10.1590/1809-4430-Eng.Agric.v36n5p839-845/2016
Du R., Gong B., Liu N., Wang C., Yang Z., Ma M. 2013. A Design and experiment on intelligent fuzzy monitoring system for corn planters. Intl. J. Agric. Biol. Eng. 6:11-18.
Du X., Liu C., Jiang M., Zhang F., Yuan H., Yang H. 2019. Design and experiment of self-disturbance inner-filling cell wheel maize precision seed-metering device. Trans. CSAE. 35:23-34. [In Chinese].
Gao X., Zhou Z., Xu Y., Yu Y, Su Y., Cui T. 2020. Numerical simulation of particle motion characteristics in quantitative seed feeding system. Powder Technol. 367:643-658.
DOI: https://doi.org/10.1016/j.powtec.2020.04.021
He S., Zang Y., Huang Z., Tao W., Xing H., Qin W., Jiang Y., Wang Z. 2022. Design of and experiment on a cleaning mechanism of the pneumatic single seed metering device for coated hybrid rice. Agric. 12:1239.
DOI: https://doi.org/10.3390/agriculture12081239
Hu M., Xia J., Zheng K., Du J., Liu Z., Zhou M. 2021. Design and experiment of inside-filling pneumatic high speed precision seed-metering device for cotton. Trans. Chin. Soc. Agric. Mach. 52:73-85. [In Chinese].
Hu M., Xia J., Zhou M., Liu Z., Xie D. 2022. Design and experiment of seed-cleaning mechanism for inside-filling pneumatic cotton precision seed-metering device. Agric. 12:1217.
DOI: https://doi.org/10.3390/agriculture12081217
Jia H., Chen Y, Zhao J., Guo M, Huang D, Zhuang J. 2018. Design and key parameter optimization of an agitated soybean seed metering device with horizontal seed filling. Intl. J. Agric. Biol. Eng. 11:76-87.
DOI: https://doi.org/10.25165/j.ijabe.20181102.3464
Khatchatourian O. A., Binelo M. O., De Lima R. F. 2014. Simulation of soya bean flow in mixed-flow dryers using DEM. Biosyst. Eng. 123:68-76.
DOI: https://doi.org/10.1016/j.biosystemseng.2014.05.003
Koller A., Wan Y., Miller E., Weckler P., Taylor R. 2014. Test method for precision seed singulation systems. Trans. ASABE. 57:1283-1290.
DOI: https://doi.org/10.13031/trans.57.10466
Kostic M., Rakic D., Radomirovic D., Savin L., Dedovic N., Crnojevic V., Ljubicic N. 2018. Corn seeding process fault cause analysis based on a theoretical and experimental approach. Comput. Electron. Agric. 151:207-218.
DOI: https://doi.org/10.1016/j.compag.2018.06.014
Li Y., Wei Y., Yang L., Zhang D., Cui T., Zhang K. 2020. Design and experiment of mung bean precision seed-metering device with disturbance for promoting seed filling. Trans. Chin. Soc. Agric. Mach. 51:43-53. [In Chinese].
Liu H., Guo L., Fu L., Tang S. 2015. Study on multi-size seed-metering device for vertical plate soybean precision planter. Intl. J. Agric. Biol. Eng. 8:1-8.
Ryu I. H., Kim K. U. 1998. Design of roller type metering device for precision planting. Trans. ASAE. 41:923-930.
DOI: https://doi.org/10.13031/2013.17249
Sharaby N., Doroshenko A., Butovchenko A. 2022. Modelling and verification of sesame seed particles using the discrete element method. J. Agric. Eng. 53:1286.
DOI: https://doi.org/10.4081/jae.2022.1286
Shen H., Zhang J., Chen X., Dong J., Huang Y., Shi J. 2021. Development of a guiding-groove precision metering device for high-speed planting of soybean. Trans. ASABE. 64:1113-1122.
DOI: https://doi.org/10.13031/trans.14307
Wang J., Qi X., Xu C., Wang Z., Jiang Y., Tang H. 2021. Design evaluation and performance analysis of the inside-filling air-assisted high-speed precision maize seed-metering device. Sustainability. 13:5483.
DOI: https://doi.org/10.3390/su13105483
Wang J., Tang H., Guan R., Li X., Bai H., Tian L. 2017. Optimization design and experiment on clamping static and dynamic finger-spoon maize precision seed metering device. Trans. Chin. Soc. Agric. Mach. 48:48-57. [In Chinese].
Wang W., Wu K., Zhang Y., Wang M., Zhang C., Chen L. 2022. The development of an electric-driven control system for a high-speed precision planter based on the double closed-loop fuzzy PID algorithm. Agronomy-Basel. 12:945.
DOI: https://doi.org/10.3390/agronomy12040945
Wang W., Zhang S., Li J., Zhang P., Chen Y. 2022. Effects of the win-row planter with subsoiling on soybean growth and yield in northern China. J. Agric. Eng. 53: 1359.
DOI: https://doi.org/10.4081/jae.2022.1359
Xing H., Zang Y., Wang M., Luo W., Zhang H., Fang Y. 2020. Design and experimental analysis of a stirring device for a pneumatic precision rice seed metering device. Trans. ASABE. 63:799-808.
DOI: https://doi.org/10.13031/trans.13096
Xiong D., Wu M., Xie W., Liu R., Luo H. 2021. Design and experimental study of the general mechanical pneumatic combined seed metering device. Appl. Sci. 11:7223.
DOI: https://doi.org/10.3390/app11167223
Xue P., Hao Y., Jiao W., Ren J., Huang Y. 2020. Design and test of a double-curved guiding groove for a high-speed precision seed-metering device. Trans. ASABE. 63:1349-1360.
DOI: https://doi.org/10.13031/trans.13331
Xue P., Xia X., Gao P., Ren D., Hao Y., Zheng Z., Zhang J., Zhu R., Hu B., Huang Y. 2019. Double-setting seed-metering device for precision planting of soybean at high speeds. Trans. ASABE. 62:187-196.
DOI: https://doi.org/10.13031/trans.13055
Yazgi A., Degirmencioglu A. 2007. Optimisation of the seed spacing uniformity performance of a vacuum-type precision seeder using response surface methodology. Biosyst. Eng. 97:347-356.
DOI: https://doi.org/10.1016/j.biosystemseng.2007.03.013
Zhao J., Zhen C., Zhang J., Hang D., Nian Y., Sun N. 2020. Parameter optimization and experiment of differential filling groove single grain seed metering device for wheat. Trans. Chin. Soc. Agric. Mach. 51:65-74. [In Chinese].
Zhao X., Ran W., Hao J., Bai W., Yang X. 2022. Design and experiment of the double-seed hole seeding precision seed metering device for peanuts. Intl. J. Agric. Biol. Eng. 15:107-114.
DOI: https://doi.org/10.25165/j.ijabe.20221503.6608
How to Cite
Chen, X. (2024) “Development of high-speed and precision metering device with gradient-feeding and control seed for soybean planting”, Journal of Agricultural Engineering, 55(3). doi: 10.4081/jae.2024.1574.
Copyright (c) 2024 the Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Andrea Casson, Valentina Giovenzana, Alessio Tugnolo, Alessia Pampuri, Ilaria Fiorindo, Roberto Beghi, Riccardo Guidetti, Assessment of an expanded-polypropylene isothermal box to improve logistic sustainability of catering services , Journal of Agricultural Engineering: Vol. 52 No. 2 (2021)
- Demetrio Antonio Zema, Giovanni Zappia, Souraya Benalia, Giuseppe Zimbalatti, Enzo Perri, Elena Urso, Vincenzo Tamburino, Bruno Bernardi, Limiting factors for anaerobic digestion of olive mill wastewater blends under mesophilic and thermophilic conditions , Journal of Agricultural Engineering: Vol. 49 No. 2 (2018)
- Salvatore Faugno, Stefania Pindozzi, Collins Okello, Maura Sannino, Testing the application of an automatic milking system on buffalo (Bubalus bubalis) , Journal of Agricultural Engineering: Vol. 46 No. 1 (2015)
- Marco Grella, Marco Manzone, Fabrizio Gioelli, Paolo Balsari, Harvesting orchard pruning residues in southern Piedmont: a first evaluation of biomass production and harvest loss , Journal of Agricultural Engineering: Vol. 44 No. 3 (2013)
- Bala Gambo Jahun, Desa bin Ahmad, Muhammad Razif Mahadi, Shamsuddin Sulaiman, Shehu Adamu Iya, Effects of degree of oil palm frond mulching using tractor mounted mulcher blades , Journal of Agricultural Engineering: Vol. 52 No. 1 (2021)
- E. Quendler, P. Pötz, W. Hagmüller, R. Kogler, J. Boxberger, Determination of the working time requirement for suckling sows in the pen of Wels , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Chantal Erbino, Alessandro Toccolini, Ilda Vagge, Paolo Stefano Ferrario, Guidelines for the design of a healing garden for the rehabilitation of psychiatric patients , Journal of Agricultural Engineering: Vol. 46 No. 2 (2015)
- Domenico Pessina, Davide Facchinetti, Exposure to vibrations in wine growing , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Paolo Spugnoli, Alessandro Parenti, Piernicola Masella, Esteban Melani, TEST OF AN ANIMAL DRAWN FIELD IMPLEMENT CART , Journal of Agricultural Engineering: Vol. 39 No. 2 (2008)
- Maria Luisa Amodio, Rosaria Cornacchia, Fedele Colantuono, Giancarlo Colelli, COLOR DEGRADATION KINETICS OF REHYDRATED ‘BORLOTTO’ BEANS STORED IN DIFFERENT GAS ATMOSPHERES AS MEASURED BY IMAGE ANALYSIS , Journal of Agricultural Engineering: Vol. 42 No. 4 (2011)
<< < 26 27 28 29 30 31 32 33 34 35 > >>
You may also start an advanced similarity search for this article.
