Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-28T06:02:24.997Z Has data issue: false hasContentIssue false
  • English
  • Français

Modelling and simulation of a no-till seeder vertical motion dynamics for precise seeding depth

Published online by Cambridge University Press:  01 June 2017

G. Sharipov ,
D. S. Paraforos  and
H. W. Griepentrog
G. Sharipov*
Affiliation:
University of Hohenheim, Institute of Agricultural Engineering 440d, Garbenstr. 9, 70599, Stuttgart, Germany
D. S. Paraforos
Affiliation:
University of Hohenheim, Institute of Agricultural Engineering 440d, Garbenstr. 9, 70599, Stuttgart, Germany
H. W. Griepentrog
Affiliation:
University of Hohenheim, Institute of Agricultural Engineering 440d, Garbenstr. 9, 70599, Stuttgart, Germany
*
†E-mail: [email protected]
Get access

Abstract

One of the significant obstacles in achieving a reliable seed germination and even plant field emergence in no-till seeding is a variation in the desired seeding depth. This is caused by the inappropriate response of the seeder motion dynamics to harsh soil conditions and to high operating speed. In order to assess the dynamic response of a no-till seeder, a mathematical model, which simulated the vertical motion of a seeding aggregate, was developed. A correlation between the simulated and the measured parameters resulted in a root-mean-squared (RMS) error of 17.2% and 6.4% for impact force and pitch angle, respectively. The simulated impact force frequencies of interests were detected at the critical frequencies of the measured forces with high coherence values.

Keywords

Impact forcesseeder dynamics simulationcritical frequencies
Type
Tillage and Seeding
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 455 - 460
Copyright
© The Animal Consortium 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Chen, Y, Munkholm, LJ and Nyord, T 2013. A discrete element model for soil–sweep interaction in three different soils. Soil and Tillage Research 126, 34–41.CrossRefGoogle Scholar
Derpsch, R, Franzluebbers, AJ, Duiker, SW, Reicosky, DC, Koeller, K, Friedrich, T et al. 2014. Why do we need to standardize no-tillage research? Soil and Tillage Research 137, 16–22.Google Scholar
Inman, DJ 2014. Engineering Vibration. 4th ed. Upper Saddle River. New Jersey 07458.Google Scholar
Lawrance, NS 1969. A method of Analyzing Dynamic Responses of A Semi-mounted Farm Implement. PhD Thesis. The Ohio State University, OH, USA.Google Scholar
Lines, JA and Murphy, K 1991. The stiffness of agricultural tractor tyres. Journal of Terramechanics 28 (1), 49–64.Google Scholar
Ngwangwa, HM, Heyns, PS, Breytenbach, HG and Els, PS 2014. Reconstruction of road defects and road roughness classification using Artificial Neural Networks simulation and vehicle dynamic responses: Application to experimental data. Journal of Terramechanics 53, 1–18.CrossRefGoogle Scholar
Paraforos, DS, Griepentrog, HW, Geipel, J and Stehle, T 2015. Fused inertial measurement unit and real time kinematic-global navigation satellite system data assessment based on robotic total station information for in-field dynamic positioning. In: Precision agriculture ’15: Proceedings of the 10th European Conference on Precision Agriculture, The Netherlands: Wageningen Academic Publishers, pp. 275–282.Google Scholar
Paraforos, DS, Griepentrog, HW and Vougioukas, SG 2016. Country road and field surface profiles acquisition, modelling and synthetic realisation for evaluating fatigue life of agricultural machinery. Journal of Terramechanics 63, 1–12.Google Scholar
Paraforos, DS, Griepentrog, HW, Vougioukas, SG and Kortenbruck, D 2014. Fatigue life assessment of a four-rotor swather based on rainflow cycle counting. Biosystems Engineering 127, 1–10.CrossRefGoogle Scholar
Saeys, W, Mouazen, AM, Anthonis, J and Ramon, H 2004. An Automatic Depth Control System for Online Measurement of Spatial Variation in Soil Compaction, Part 2: Modelling of the Depth Control System. Biosystems Engineering 89 (3), 267–280.Google Scholar
Shahgoli, G, Fielke, J, Saunders, C and Desbiolles, J 2010. Simulation of the dynamic behaviour of a tractor-oscillating subsoiler system. Biosystems Engineering 106 (2), 147–155.Google Scholar
Sharipov, G, Paraforos, DS and Griepentrog, HW 2016. Modeling and optimization of a no-till direct seeding machine. In Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), Osnabrück, pp. 193–196.Google Scholar
Weatherly, ET and Bowers, CG 1997. Automatic depth control of a seed planter based on soil drying front sensing. Power and Machinery Divison of ASAE 40 (919), 295–305.Google Scholar