Performance and economic evaluation of an auto-steering onion transplanter

The purpose of this study was to compare and evaluate the performance and economic of an auto-steering onion transplanter and a conventional transplanter to determine their applicability in actual agricultural environments. Performance evaluation was conducted by analyzing path-tracking accuracy through planting position deviations and measured working time, while economic feasibility was assessed by calculating cumulative operating costs based on field capacity. The results showed that the auto-steering transplanter reduced the maximum and average planting position deviations by 76.2% and 81.7%, respectively, compared to the conventional transplanter, and shortened straight-line and turning operation times by 8.4% and 25.0%, respectively, resulting in a 10.8% improvement in overall field capacity. The economic analysis showed that the cumulative cost of the conventional transplanter was lower for cultivated areas below 4.44 ha, and the auto-steering transplanter was lower for areas above 4.44 ha and based on time, it became more advantageous after approximately 2.52 years of operation for farms with the average onion cultivation area of 1.76 ha. These findings indicate that although the auto-steering transplanter requires a higher initial investment, long-term or large-scale use offsets this cost through accumulated savings from improved operational efficiency, thereby providing economic benefits. This study quantitatively demonstrates the technical performance and economic feasibility of the auto-steering transplanter, offering valuable baseline data for promoting mechanization and reducing labor demand in onion cultivation.

Authors

Publication Details

Journal
Journal of Agricultural Machinery Engineering
Published
2025-09-30
DOI
https://doi.org/10.12972/jame.2025.5.3.2
Primary Topic
Agronomic Practices and Intercropping Systems
Type
article
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article

Performance and economic evaluation of an auto-steering onion transplanter

Wan-Soo Kim, Young-Sun Kang, Jae-Seo Hwang
Journal of Agricultural Machinery Engineering
Agronomic Practices and Intercropping Systems
article

Performance and economic evaluation of an auto-steering onion transplanter

Wan-Soo Kim, Young-Sun Kang, Jae-Seo Hwang
article en

Abstract

The purpose of this study was to compare and evaluate the performance and economic of an auto-steering onion transplanter and a conventional transplanter to determine their applicability in actual agricultural environments. Performance evaluation was conducted by analyzing path-tracking accuracy through planting position deviations and measured working time, while economic feasibility was assessed by calculating cumulative operating costs based on field capacity. The results showed that the auto-steering transplanter reduced the maximum and average planting position deviations by 76.2% and 81.7%, respectively, compared to the conventional transplanter, and shortened straight-line and turning operation times by 8.4% and 25.0%, respectively, resulting in a 10.8% improvement in overall field capacity. The economic analysis showed that the cumulative cost of the conventional transplanter was lower for cultivated areas below 4.44 ha, and the auto-steering transplanter was lower for areas above 4.44 ha and based on time, it became more advantageous after approximately 2.52 years of operation for farms with the average onion cultivation area of 1.76 ha. These findings indicate that although the auto-steering transplanter requires a higher initial investment, long-term or large-scale use offsets this cost through accumulated savings from improved operational efficiency, thereby providing economic benefits. This study quantitatively demonstrates the technical performance and economic feasibility of the auto-steering transplanter, offering valuable baseline data for promoting mechanization and reducing labor demand in onion cultivation.

Journal of Agricultural Machinery EngineeringVol. 5(3)
Openalex Percentile: Top 62%
Agronomic Practices and Intercropping Systems
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