Analysis of black soil compaction with driver-agricultural machinery-soil system under corn sowing with high-power tractor in Northeast China

Authors

  • Xiao Yang Beijing Key Laboratory for Optimal Design of Modern Agricultural Equipment, College of Engineering, China Agricultural University, Beijing 100083, China
  • Zhiqiang Zhai Beijing Key Laboratory for Optimal Design of Modern Agricultural Equipment, College of Engineering, China Agricultural University, Beijing 100083, China
  • Weijie Guo Beijing Key Laboratory for Optimal Design of Modern Agricultural Equipment, College of Engineering, China Agricultural University, Beijing 100083, China
  • Wenjie Li Beijing Key Laboratory for Optimal Design of Modern Agricultural Equipment, College of Engineering, China Agricultural University, Beijing 100083, China
  • Minli Yang 1. Beijing Key Laboratory for Optimal Design of Modern Agricultural Equipment, College of Engineering, China Agricultural University, Beijing 100083, China; 2. China Agricultural Mechanization Development Research Center, College of Engineering, China Agricultural University, Beijing 100083, China
  • Zhenghe Song Beijing Key Laboratory for Optimal Design of Modern Agricultural Equipment, College of Engineering, China Agricultural University, Beijing 100083, China

Keywords:

agriculture ergonomics, structural equation model, black soil compaction, sowing, high-power tractor

Abstract

Soil compaction leads to crop yield reduction in Northeast of China. The interaction mechanism of driver-agricultural machinery-black soil is not clear. A comprehensive field experiment of 4 hm2 of maize seeding was carried out in Baiquan County Cooperative. The results showed that the average increase rates of soil compaction before and after sowing were 118.82% and 71.02%. The SEM showed that waist fatigue had the greatest impact on soil compaction, and the unit fatigue of waist caused 1.51 and 1.27 unit compactions to the soil at the depths of 10 cm and 20 cm. The neck, waist, arm and leg fatigue of drivers increased the surface soil compaction by 1.83, 1.76, 1.78 and 1.55 units, and the deep soil compaction by 1.65, 1.58, 1.60 and 1.40 units. The results can provide a reference for the integration of human factor efficiency and conservation tillage. Keywords: agriculture ergonomics, structural equation model, black soil compaction, sowing, high-power tractor DOI: 10.25165/j.ijabe.20231604.7284 Citation: Yang X, Zhai Z Q, Guo W J, Li W J, Yang M L, Song Z H. Analysis of black soil compaction with driver-agricultural machinery-soil system under corn sowing with high-power tractor in Northeast China. Int J Agric & Bio Eng, 2023; 16(4): 168-173

References

Li R S, Lin C H, Gao H W, Chen C L, Yuan Y L. Study on soil compaction of small four-wheel tractor. Transactions of the CSAM, 2002; 33(1): 126-129. (in Chinese),

Qiao J Y, Huo D X, Zhang X F, Liu L Y, Sun J, Chen H T. Effects of medium tractor compaction on soil penetration resistance and moisture content of testing cross section. Journal of Northeast Agricultural University, 2021; 52(6): 87-96. (in Chinese)

Fu X L, Shao M A. An improved soil compaction model and experimental study. Transactions of the CSAE, 2007; 23(4): 1-5. (in Chinese)

Keller T, Défossez P, Weisskopf P, Arvidsson J, Richard G. SoilFlex: A model for prediction of soil stresses and soil compaction due to agricultural field traffic including a synthesis of analytical approaches. Soil & Tillage Research, 2006; 93(2): 643-653.

Hallonborg U. Super ellipse as tyre-ground contact area. Journal of Terramechanics, 1996; 33(3): 311-319.

Keller T. A model for the Prediction of the contact area and the distribution of vertical stress below agricultural tyres from readily available tyre parameters. Biosystems Engineering, 2005; 92(1): 161-165.

Johnson C E, Burt E C. A method of predicting soil stress state under tires. Transactions of the ASAE, 1990; 33(3): 69-73.

Li C, Wang R H, Li Z Z, Xu Y. Characteristics and influencing factors of evapotranspiration and net CO2 exchange in winter wheat-summer maize farmland. Transactions of the CSAM, 2022; 53(1): 331-339. (in Chinese)

Zeng X T, Peng Z P, Peng Y F. Study on the relationship between nitrogen application rate-photosynthate-yield of maize based on structural equation model. Transactions of the CSAM, 2016; 32(10): 98-110. (in Chinese)

Mu Z M, Yu S E, Lu B, Ding J H, Yu Z H. Study on the relationship between water requirement, photosynthetic capacity and yield of rice based on structural equation model. Transactions of the CSAM, 2013; 29(6): 91-98. (in Chinese)

Li Q R, Wang J J, Guo M C. Coupling relationship of commodity eco - agriculture system in Ansai county based on structural equation model. Transactions of the CSAM, 2012; 28(16): 240-247. (in Chinese)

Zhu X L, Yao L, Li J, Liu H J. Research on satisfaction of urban-rural public transport integration based on structural equation model. Journal of Chongqing Jiaotong University (Social Sciences Edition), 2021; 40(11): 40-46. (in Chinese)

Luo C, Hu M, Xiao H Q, Zhong L F. Research on residents’ travel choice behavior under public health emergencies based on structural equation model. Computer Science, 2021; 48(S2): 655-658.

Hu S, Jia Q, Zhang L Y, Dong L L, Wang K H, Wang Y Q. Design of health care intelligent escort product based on structural equation model. Mechanical Design, 2021; 38(7): 110-117. doi: 10.13841/j.cnki.jxsj.2021.07.019.

Yao R H, Qi W Y, Guo W W. Structural equation model of driver takeover behavior in autonomous driving environment. Journal of Traffic and Transportation Engineering, 2021; 21(2): 209-221. doi: 10.19818/j.cnki.1671-1637.2021.02.018.

Abuzaid H, Moeilak L A, Alzaatreh A. Customers' perception of residential photovoltaic solar projects in the UAE: A structural equation modeling approach. Energy Strategy Reviews, 2022; 39: 100778. doi: 10.1016/j.esr.2021.100778.

Bussiman F O, Silva F F E, Carvalho R S B, Ventura R V, Mattos E C, Ferraz, J B S, et al. Confirmatory factor analysis and structural equation models to dissect the relationship between gait and morphology in Campolina horses. Livestock Science, 2022; 255: 104779. doi: 10.1016/j.livsci.2021.104779.

Kiraz A, Canpolat O, Özkurt C, Taşkın H. Analysis of the factors affecting the Industry 4.0 tendency with the structural equation model and an application. Computers & Industrial Engineering, 2020; 150: 106911. doi: 10.1016/j.cie.2020.106911.

Wang Y L, Cao M Q, Liu Y Q, Ye R N, Gao X, Ma L. Public transport equity in Shenyang: Using structural equation modelling. Research in Transportation Business & Management, 2020; 42: 100555. doi: 10.1016/j.rtbm.2020.100555.

Kim W, Kim N Y, Lyons J B, Nam C S. Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach. Applied Ergonomics, 2020; 85: 103056. doi:10.1016/j.apergo.2020.103056.

Xie M M, Chen J, Zhang Q Y, Li H T, Fu M C, Breuste, J. Dominant landscape indicators and their dominant areas influencing urban thermal environment based on structural equation model. Ecological Indicators, 2020; 111: 105992. doi:10.1016/j.ecolind.2019.105992.

Leong R A T, Fung T K, Sachidhanandam U, Drillet Z , Edwards P J, Richards D R. Use of structural equation modeling to explore influences on perceptions of ecosystem services and disservices attributed to birds in Singapore. Ecosystem Services, 2020; 46: 101211. doi: 10.1016/j.ecoser.2020.101211.

Downloads

Published

2023-10-17

How to Cite

(1)
Yang, X.; Zhai, Z.; Guo, W.; Li, W.; Yang, M.; Song, Z. Analysis of Black Soil Compaction With Driver-Agricultural Machinery-Soil System under Corn Sowing With High-Power Tractor in Northeast China. Int J Agric & Biol Eng 2023, 16, 167-172.

Issue

Section

Natural Resources and Environmental Systems