The Influence of Soil Physical Properties on the Load Factor for Agricultural Tractors in Different Paddy Fields

Yi-Seo Min, Yeon-Soo Kim, Ryu-Gap Lim, Taek-Jin Kim, Yong-Joo Kim () and Wan-Soo Kim ()
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Yi-Seo Min: Department of Bio-Industrial Machinery Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
Yeon-Soo Kim: Department of Bio-Industrial Machinery Engineering, Pusan National University, Miryang 50463, Republic of Korea
Ryu-Gap Lim: Department of Smart Agriculture, Korea Agriculture Technology Promotion Agency, Iksan 54667, Republic of Korea
Taek-Jin Kim: Department of Drive System Team, TYM R&D Center, Iksan 54576, Republic of Korea
Yong-Joo Kim: Department of Smart Agriculture Systems, Chungnam National University, Daejeon 34134, Republic of Korea
Wan-Soo Kim: Department of Bio-Industrial Machinery Engineering, Kyungpook National University, Daegu 41566, Republic of Korea

Agriculture, 2023, vol. 13, issue 11, 1-16

Abstract: The load factor (LF) of a tractor represents the ratio of actual engine power and rated engine power, and is an important indicator directly used in calculating national air pollutant emissions. Currently, in the Republic of Korea, a fixed value of 0.48 is used for the LF regardless of the working conditions, making it difficult to establish a reliable national air pollutant inventory. Since tractors perform work under soil conditions, soil physical properties directly affect the tractor LF. Therefore, it is expected that more accurate LF estimation will be possible by utilizing soil physical properties. This study was conducted to assess the impact of soil physical properties on the LF. Experimental data were collected in ten different soil conditions. Correlation analysis revealed that the LF exhibited strong correlations with SMC, soil texture, and CI, in that order. The coefficient of determination for the regression model developed using soil variables ranged from 0.678 to 0.926. The developed regression models generally showed higher accuracy when utilizing multiple soil variables, as compared to using a single soil variable. Therefore, an effective estimation of the LF through non-experimental methods can be achieved by measuring various soil properties.

Keywords: agricultural tractor; load factor; engine characteristic; soil physical properties; tillage operation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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