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Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation

Author

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  • Seung-Jun Kim

    (Department of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Gangwon-do, Republic of Korea
    Interdisciplinary Program in Smart Agriculture, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Gangwon-do, Republic of Korea
    These authors contributed equally to this work.)

  • Moon-Kyeong Jang

    (Department of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Gangwon-do, Republic of Korea
    Interdisciplinary Program in Smart Agriculture, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Gangwon-do, Republic of Korea
    These authors contributed equally to this work.)

  • Seok-Joon Hwang

    (National Academy of Agricultural Science, Rural Development Administration, 310 Nong-saengmyeong-ro, Jeonju 54875, Jeollabuk-do, Republic of Korea)

  • Won Suk Lee

    (Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL 32611, USA)

  • Ju-Seok Nam

    (Department of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Gangwon-do, Republic of Korea
    Interdisciplinary Program in Smart Agriculture, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Gangwon-do, Republic of Korea)

Abstract

Tractor fuel consumption has typically been predicted using indoor test results under specific conditions. This study analyzes the factors affecting fuel consumption during rotary tillage in actual fields and develops a prediction model. The test field was divided into sections using a grid method, and rotary tillage operations were performed to measure various parameters, including soil strength, tractor’s transmission and PTO gear stages, tillage pitch, travel speed, engine and PTO shaft torque and speed, and fuel consumption. Pearson correlation identified variables affecting specific fuel consumption, and regression analysis was used to develop a prediction model. The model’s accuracy was analyzed using the coefficient of determination (R 2 ) and root mean square error (RMSE), and it was compared with the ASABE’s fuel consumption prediction model. The test results showed that higher transmission and PTO gear stages, and tillage pitch decreased specific fuel consumption, while soil strength had no significant effect. Thus, operating at higher gear and PTO stages within suitable conditions enhances energy efficiency in rotary tillage. Statistical analysis showed that specific fuel consumption significantly correlated with tractor travel speed, PTO shaft power, and PTO shaft speed. The prediction model, including these variables, had the highest accuracy with R 2 of 0.91 and RMSE of 0.011 L/kW·h. The developed prediction model showed significantly improved accuracy compared to the ASABE model, indicating that it can predict specific fuel consumption based on key operational variables in actual rotary tillage operations.

Suggested Citation

  • Seung-Jun Kim & Moon-Kyeong Jang & Seok-Joon Hwang & Won Suk Lee & Ju-Seok Nam, 2024. "Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation," Agriculture, MDPI, vol. 14(11), pages 1-19, November.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:11:p:1993-:d:1515471
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    References listed on IDEAS

    as
    1. Yeon-Soo Kim & Bo-Min Bae & Wan-Soo Kim & Yong-Joo Kim & Sang-Dae Lee & Taek-Jin Kim, 2023. "Working Load Analysis of a 42 kW Class Agricultural Tractor According to Tillage Type and Gear Selection during Rotary Tillage Operation," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
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