Obtaining Experimental Values of the Uniformity of Seed Distribution by Multivariate Regression Analysis
Abstract
One of the key factors affecting agricultural productivity is the availability of technical means that include machine and tractor units of agricultural enterprises. The production volume of the plant growing industry depends on high yields that can be achieved by high-quality sowing, which implies the optimal seed placement and sowing depth. Thus, the modernization of existing seeding machines and the creation of new ones that ensure the optimal seed placement is an urgent task. This study aimed to develop a coulter for uniform seed distribution along the furrow length. The object of the study was uniform sowing patterns for grain crops based on the optimal parameters of the proposed working unit of the seeding machine obtained by multivariate regression analysis. A symmetric orthogonal compositional plan of the second order was chosen as a model. The criterion for optimization of the geometric parameters of the developed coulter was the uniformity of seed distribution along the furrow length. The following parameters of the proposed coulter were changed: the cut length of the outer side of the rectilinear profile of the lower edge of the rack varied within 20–80 mm (L), and the approach angle in the horizontal plane (α) and the roll angle in the vertical plane (β) varied within 3–28 deg. The study yielded the regression equation for constructing the response surfaces. The analysis of the response surfaces showed that the optimal parameters for uniform seed distribution along the furrow length can be achieved at the approach angle α=250, the roll angle β=150, and the cut length of the lower edge of the rack L=50 mm.
Keywords: Coulter, sowing, grain, quality, distribution uniformity, multivariate experiment
References
[1] Russian Government (2012) State Program for the Development of Agriculture and Regulation of Markets for Agricultural Products, Raw Materials and Food for 2013–2020. Moscow: Minselkhoz.
[2] Lachuga, Y. F. (2009). Strategy of Machine and Technological Modernization of Agriculture in Russia for the Period up to 2020 Moscow: FGNU Rosinformagrotech.
[3] Russian Government. (2007). The Concept of the Development of Agricultural Science and Scientific Support of the Agro-Industrial Complex of the Russian Federation for the period up to 2025. Moscow: Minselkhoz.
[4] Yushkevich, L. V. (2001). Resource-Saving System of Processing and Fertility of Chernozem Soils during the Intensification of the Cultivation of Grain Crops in the Southern Forest-Steppe of Western Siberia. (Dissertation, Candidate of Agriculture, Omsk, 2001).
[5] Bychkov, I. V., Lukovnikov, N. G. and Ruzhnikov, G. M. (2012). Implementation of Modern Information Technologies in the Tasks of Precision Farming. Presented at Information Technologies, Systems and Devices in the Agro-Industrial Complex: Proceedings of the 5th International Scientific-Practical Conference AGROINFO-70 Novosibirsk. June, Krasnoobsk, Russia. (vol. 1) Novosibirsk: Nauka, pp. 360- 370.
[6] Cheсusov, M. S., et al. (2019). The Effect of Opener for Sowing and Fertilizing at Different Depths on the Quality and Yield of Spring Wheat Grain Advances in Social Science, Education and Humanities Research vol. 393 pp. 286-289.
[7] Demchuk, E. V., et al. (2018). Two-Cotton Sowing Soundry of Grain Crops with Different Mineral Fertilizer Level. Journal of Physics: Conference Series vol. 1059 issue 1 art. 012009
[8] Evchenko, A. V. (2006). Sowing Machines. Omsk: FGOU VPO Omsk State Agrarian University.
[9] Domrachev, V. A. (2011). Mechanization of Breeding Processes, Agriculture and Plant Growing. Omsk: Publishing House FGBOU VPO OmGAU.
[10] Zhidkov, G. A., Lavrukhin, P. V. and Ivanov, P. A. (2012). Evaluation of the Sowing Operation as an Element of Forecasting the Prospects of Crop Technology. Agricultural Machines and Technologies, vol. 1, pp. 19-21.
[11] Melnikov, S. V. (1980). Planning an Experiment in the Research of Agricultural Processes. Moscow: Nauka.
[12] Novik, F. S. (1980). Optimization of Metal Technology Processes by Methods of Planning Experiments. Moscow: Mechanical Engineering Sofia: Tekhnika.
[13] Ermakov, S. M. (1983). Mathematical Theory of Experiment Planning. Moscow: Nauka.
[14] Bolshev L. N. (1965). Tables of Mathematical Statistics. Moscow: Nauka.
[15] Patent 72378, the Russian Federation, International Patent Classification А01С7/20 (2006.01); the Sowing coulter 2007144865; declared 03.12.2008; published 20.04.2008 Moscow.