IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i6p632-d1613981.html
   My bibliography  Save this article

Safety Analysis of Agricultural Implement for Mulching and Soil Covering

Author

Listed:
  • In-Seok Hwang

    (Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea)

  • Sung-Min Ji

    (Daesung Agricultural Machinery Co., Ltd., Cheongju 28205, Republic of Korea)

  • Wan-Tae Im

    (Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea)

  • Chang-Seop Shin

    (Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea)

Abstract

In recent years, the increasing use of mulching in agricultural practices has been driven by its benefits in weed suppression, soil moisture retention, and improved soil structure. However, Korean farms typically perform mulching and soil covering separately, leading to excessive labor requirements. To address this issue, this study analyzes the safety of a newly developed mulching and soil covering machine. To evaluate its structural safety, strain gauges were attached to critical points of the machine, and strain data were collected under various Power Take-Off (PTO) and engine speed conditions. The measured strain was converted into von Mises stress and maximum shear stress, and the safety factor was calculated using the maximum shear stress theory and the strain energy theory. Additionally, fatigue life was predicted using the rainflow counting method, the Goodman equation, and Palmgren–Miner’s rule. The results indicate that the safety factor ranged from 1.65 to 16.54 based on the maximum shear stress theory and 2.42 to 19.83 based on the strain energy theory, confirming that the machine can withstand operational loads without failure. Furthermore, fatigue life prediction revealed that the lowest estimated fatigue life is 14,575 h, equivalent to approximately 607 years of continuous use. These findings demonstrate that the developed machine possesses high safety, making it a viable solution for improving efficiency in mulching and soil covering operations.

Suggested Citation

  • In-Seok Hwang & Sung-Min Ji & Wan-Tae Im & Chang-Seop Shin, 2025. "Safety Analysis of Agricultural Implement for Mulching and Soil Covering," Agriculture, MDPI, vol. 15(6), pages 1-15, March.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:6:p:632-:d:1613981
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/6/632/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/6/632/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fleisher, Belton & Li, Haizheng & Zhao, Min Qiang, 2010. "Human capital, economic growth, and regional inequality in China," Journal of Development Economics, Elsevier, vol. 92(2), pages 215-231, July.
    2. Zou, Baoling & Mishra, Ashok K. & Luo, Biliang, 2018. "Aging population, farm succession, and farmland usage: Evidence from rural China," Land Use Policy, Elsevier, vol. 77(C), pages 437-445.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qing Li & Long Hai Vo, 2021. "Intangible Capital and Innovation: An Empirical Analysis of Vietnamese Enterprises," Economics Discussion / Working Papers 21-02, The University of Western Australia, Department of Economics.
    2. Yao Zhao & Xuena Kong & Mahmood Ahmad & Zahoor Ahmed, 2023. "Digital Economy, Industrial Structure, and Environmental Quality: Assessing the Roles of Educational Investment, Green Innovation, and Economic Globalization," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    3. Jing Li & Tsun Se Cheong & Jianfa Shen & Dahai Fu, 2019. "Urbanization And Rural–Urban Consumption Disparity: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 983-996, September.
    4. Zhou, Yixiao & Tyers, Rod, 2019. "Automation and inequality in China," China Economic Review, Elsevier, vol. 58(C).
    5. Dan Pan & Peiyao Zhou & Fanbin Kong, 2023. "Effect of place-based policy on regional economic growth: A quasi-natural experiment from China’s Old Revolutionary Development Program," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-20, July.
    6. Chao Zhang & Ruifa Hu, 2022. "Adoption of Direct Seeding, Yield and Fertilizer Use in Rice Production: Empirical Evidence from China," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    7. Deng, Xin & Xu, Dingde & Zeng, Miao & Qi, Yanbin, 2019. "Does early-life famine experience impact rural land transfer? Evidence from China," Land Use Policy, Elsevier, vol. 81(C), pages 58-67.
    8. Felix Roth & Anna-Elisabeth Thum, 2022. "Intangible Capital and Labor Productivity Growth: Panel Evidence for the EU from 1998–2005," Contributions to Economics, in: Intangible Capital and Growth, chapter 0, pages 101-128, Springer.
    9. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).
    10. Yong He & Hong Zhou, 2011. "Estimating Chinese Interprovincial OutPut Spillovers with Provincial Input-Output Tables," CERDI Working papers halshs-00553102, HAL.
    11. Daniela Smiraglia & Luca Salvati & Gianluca Egidi & Rosanna Salvia & Antonio Giménez-Morera & Rares Halbac-Cotoara-Zamfir, 2021. "Toward a New Urban Cycle? A Closer Look to Sprawl, Demographic Transitions and the Environment in Europe," Land, MDPI, vol. 10(2), pages 1-14, January.
    12. Juan Huang & Poomthan Rangkakulnuwat, 2024. "Does years of schooling matter for economic growth at different development levels? New evidence from China," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 75, pages 5-32.
    13. Yang, Xiaoliang & Barros, Lucy & Matthews, Kent & Meenagh, David, 2024. "The dynamics of redistribution, inequality and growth across China’s regions," Journal of Policy Modeling, Elsevier, vol. 46(3), pages 613-637.
    14. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 115-138, March.
    15. Miao, Shuchao & Chi, Jing & Liao, Jing & Qian, Long, 2021. "How does religious belief promote farmer entrepreneurship in rural China?," Economic Modelling, Elsevier, vol. 97(C), pages 95-104.
    16. Robert Huggins & Hiro Izushi, 2013. "Knowledge-based Development in Leading Regions across the Globe: An Exploratory Analysis of the co-Evolution of Resources, Capabilities and Outputs," Urban Studies, Urban Studies Journal Limited, vol. 50(5), pages 1030-1048, April.
    17. Emran,M. Shahe & Sun,Yan - GSP05, 2015. "Are the children of uneducated farmers doubly disadvantaged ? farm, nonfarm and intergenerational educational mobility in rural China," Policy Research Working Paper Series 7459, The World Bank.
    18. Xi Zhang & Scott Rozelle, 2022. "Education Universalization, Rural School Participation, and Population Density," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 4-30, July.
    19. Yao Pan, 2017. "The Impact of Removing Selective Migration Restrictions on Education: Evidence from China," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 859-885.
    20. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:15:y:2025:i:6:p:632-:d:1613981. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.