EconPapers    
Economics at your fingertips  
 

Analysis and Optimization of Seeding Depth Control Parameters for Wide-Row Uniform Seeding Machines for Wheat

Longfei Yang, Zenglu Shi (), Yingxue Xue, Xuejun Zhang, Shenghe Bai, Jinshan Zhang and Yufei Jin
Additional contact information
Longfei Yang: College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Zenglu Shi: College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Yingxue Xue: College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Xuejun Zhang: College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Shenghe Bai: The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China
Jinshan Zhang: College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Yufei Jin: College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China

Agriculture, 2025, vol. 15, issue 17, 1-24

Abstract: Seeding depth is a critical factor influencing the uniformity and vigor of wheat seedlings. To address inconsistent seeding depth in wide-row uniform seeding agricultural practices, we performed parameter analysis and optimization experiments on the seeding depth device of a wheat wide-row uniform seeding machine. The structure and working principle of the device were described, soil movement during operation was analyzed, and the models of rotary tiller blades and soil retention plates were investigated, identifying three key factors affecting seeding quality. Using the discrete element method, a model of the seeding depth device was established, and experiments were conducted, yielding the following conclusions: 1. Single-factor experiments were conducted under different seeding rate conditions, and it was found that the effects of various factors on the two indicators, namely the seeding depth qualification rate and the coefficient of variation for seeding uniformity, were regular. 2. A quadratic orthogonal rotated combination experiment with three factors determined the optimal structural parameters: tillage device penetration depth of 120 mm, rotational speed of 310 rpm, and soil retention plate inclination angle of 27°. Under these parameters, the seed depth qualification rate exceeded 90%, and the coefficient of variation for seed distribution uniformity was below 25%. 3. Field validation tests under optimal parameters confirmed a seed depth qualification rate ≥90% and variation for seed distribution uniformity was below ≤20.69%. 4. The error between simulation and field tests was ≤5%, validating the reliability of the discrete element method-based optimization for the seeding depth device.

Keywords: wheat; trials; discrete element method; wide even sowing; sowing depth device (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: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2077-0472/15/17/1800/pdf (application/pdf)
https://www.mdpi.com/2077-0472/15/17/1800/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:15:y:2025:i:17:p:1800-:d:1730682

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-08-23
Handle: RePEc:gam:jagris:v:15:y:2025:i:17:p:1800-:d:1730682