Evaluation of a Pre-Cut Sugarcane Planter for Seeding Performance
To investigate the relationship between the seeding performance of a novel pre-cut sugarcane planter designed by South China Agricultural University and operational settings, field seeding tests was conducted with the following protocol: First, the John Deere M1654 tractor’s forward velocity was cal...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/15/13/1429 |
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| author | Zhikang Peng Fengying Xu Pan Xie Jinpeng Chen Tao Wu Zhen Chen |
| author_facet | Zhikang Peng Fengying Xu Pan Xie Jinpeng Chen Tao Wu Zhen Chen |
| author_sort | Zhikang Peng |
| collection | DOAJ |
| description | To investigate the relationship between the seeding performance of a novel pre-cut sugarcane planter designed by South China Agricultural University and operational settings, field seeding tests was conducted with the following protocol: First, the John Deere M1654 tractor’s forward velocity was calibrated, and the planter’s safe loading capacity was determined. Subsequently, eight experimental treatments (A–H) were designed to quantify the relationships between the three performance indicators: seeding density N, the seeding efficiency E and seeding uniformity (coefficient of variation, CV), and three key operational parameters: forward speed of planter v, the discharging sprocket rotational speed n, and the hopper outlet size w. Mathematical models (R20.979) between three key operational parameters with two performance indicators (N, E) was developed through analysis of variance (ANOVA) and regression analysis. The seeding rate per meter was confirmed to follow a Poisson distribution based on Kolmogorov–Smirnov (K–S) tests. When the CV was below 40%, the mean relative error remained within 3%. These findings provide a theoretical foundation for seeding performance prediction under field conditions. |
| format | Article |
| id | doaj-art-5f895a2f159b4f5ba65a59076d1827db |
| institution | Kabale University |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-5f895a2f159b4f5ba65a59076d1827db2025-08-20T03:28:29ZengMDPI AGAgriculture2077-04722025-07-011513142910.3390/agriculture15131429Evaluation of a Pre-Cut Sugarcane Planter for Seeding PerformanceZhikang Peng0Fengying Xu1Pan Xie2Jinpeng Chen3Tao Wu4Zhen Chen5College of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaTo investigate the relationship between the seeding performance of a novel pre-cut sugarcane planter designed by South China Agricultural University and operational settings, field seeding tests was conducted with the following protocol: First, the John Deere M1654 tractor’s forward velocity was calibrated, and the planter’s safe loading capacity was determined. Subsequently, eight experimental treatments (A–H) were designed to quantify the relationships between the three performance indicators: seeding density N, the seeding efficiency E and seeding uniformity (coefficient of variation, CV), and three key operational parameters: forward speed of planter v, the discharging sprocket rotational speed n, and the hopper outlet size w. Mathematical models (R20.979) between three key operational parameters with two performance indicators (N, E) was developed through analysis of variance (ANOVA) and regression analysis. The seeding rate per meter was confirmed to follow a Poisson distribution based on Kolmogorov–Smirnov (K–S) tests. When the CV was below 40%, the mean relative error remained within 3%. These findings provide a theoretical foundation for seeding performance prediction under field conditions.https://www.mdpi.com/2077-0472/15/13/1429sugarcane planterfield testseeding uniformityprobability distributionregression analysis |
| spellingShingle | Zhikang Peng Fengying Xu Pan Xie Jinpeng Chen Tao Wu Zhen Chen Evaluation of a Pre-Cut Sugarcane Planter for Seeding Performance Agriculture sugarcane planter field test seeding uniformity probability distribution regression analysis |
| title | Evaluation of a Pre-Cut Sugarcane Planter for Seeding Performance |
| title_full | Evaluation of a Pre-Cut Sugarcane Planter for Seeding Performance |
| title_fullStr | Evaluation of a Pre-Cut Sugarcane Planter for Seeding Performance |
| title_full_unstemmed | Evaluation of a Pre-Cut Sugarcane Planter for Seeding Performance |
| title_short | Evaluation of a Pre-Cut Sugarcane Planter for Seeding Performance |
| title_sort | evaluation of a pre cut sugarcane planter for seeding performance |
| topic | sugarcane planter field test seeding uniformity probability distribution regression analysis |
| url | https://www.mdpi.com/2077-0472/15/13/1429 |
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