Improving Efficiency of Corn Seed Separation and Calibration Process

Bredykhin, Vadym; Tikunov, Stanislav; Slipchenko, Maksym; Alfyorov, Oleksiy; Bogomolov, Alexey; Shchur, Taras; Kocira, Sławomir; Kiczorowski, Piotr; Paslavskyy, Rostysav

doi:10.2478/agriceng-2023-0018

Cited by 2 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They are the indispensable elements of agricultural machines designed for precision farming, and they support the evaluation of the seeding process (Markowski, 2017;Kęska, 2002;Gierz, 2015;Jia-lei Zhang et al, 2020;Bai et al, 2022). In addition, the sowing quality is affected not only by the speed of the seeder, but also by the relevant soil parameters and its structure, which may be changed by applying the appropriate biostimulators (Findura et al, 2022;Bredykhin et al, 2023;Krawczuk et al, 2023;Szparaga, 2023a,b). The physical properties of the seeds used during sowing are also of great importance in forecasting the quality of the crop, and they significantly affect the quality of the work of the sowing mechanism of the precision seeder (Findura et al, 2023;Krzaczek et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Predicting the seeding quality of radish seeds with the use of a family of Nakagami distribution functions

Ignaciuk,

Zarajczyk,

Różańska-Boczula

et al. 2023

Int. Agrophys.

View full text Add to dashboard Cite

The study evaluated the seeding quality of radish seeds cv. Saxa Polana (percentage of single seeds, double seeds and missed seeds (skips) sown with a Max Pneumatic S 156 seed drill fitted with a pneumatic seed dosing unit set at different forward speeds of a metering unit and different sowing disc speeds. The seeding quality was analysed using Nakagami distribution functions, a chi-squared goodness of fit test, linear regression functions, and the ISO 7256/1, 1984 (E) Standard. The diagrams predicting the effect of the different speeds on the percentage of singles, doubles and skips were highly consistent with the results of the seeding quality analysis based on the ISO 7256/1, 1984 (E) Standard. The authors relied on Nakagami distribution functions to develop a new method for predicting the in-row distance between seeds within the analysed range of speeds, including those which were not empirically tested speeds. The proposed method can be used to predict seeding quality at different speeds when only the selected settings of the dosing unit are taken into account in the analysis. This approach significantly shortens the research time and also decreases the relevant costs.

show abstract

Section: Discussionmentioning

confidence: 99%

Predicting the seeding quality of radish seeds with the use of a family of Nakagami distribution functions

Ignaciuk,

Zarajczyk,

Różańska-Boczula

et al. 2023

Int. Agrophys.

View full text Add to dashboard Cite

show abstract

Determination of Ways of Improving the Process of Separation of Seed Materials on the Working Surface of the Pneumatic Sorting Table

Bredykhin,

Shchur,

Kis-Korkishchenko

et al. 2024

Agricultural Engineering

View full text Add to dashboard Cite

The object of the study is the process of separation of seed material according to the seed density on the working surface of the pneumatic sorting table. The main defining design variables and linkage parameters of the equipment are analyzed, which realizes the process of separation of seed materials, and is coordinated with physical and mechanical variables of raw materials. The principles of modeling of seed material layer movement as a multiphase medium are provided. Under the effect of working surface vibrations and the power of an airstream the layer take on the properties of pseudoliquid. The criteria of chosen variables are presented, on which depend quality and quantity indicators of the separation process of seed materials according to the seed density. Optimal values of the separator linkage parameters are analytically determined and dependence diagrams are built. Secant lines of surfaces for a concrete crop (raw material) are performed. The “purity” of heavy fraction during the variation of indicated parameters is studied. It is proved that there are differences in types of the dependences: different decreasing of functions and increasing of airstream velocity. It is obvious that this nature is determined by difference in density of original raw materials. This way the smallest influence a change in the air-stream velocity causes to soybean raw material, as soybean has the biggest density. At the same time, the biggest affect is provoked on sunflower seeds, which have the smallest density among the used types of raw materials, as well as a triangle form. It is determined that the maximal frequency of the basic fraction, gained by the separation of wheat seed material on PST, is obtained under the airstream velocity in the range 1.3-1.5 m·s−1. For corn the rational air-stream velocity falls in the range 1.3-1.6 m·s−1, for sunflower – 1.2-1.4 m·s−1, for soybean – 1.2-1.4 m·s−1. These figures are valid under the condition of using the relevant rational decisions of frequency and amplitude of vibrations of pneumatic sorting table deck during the separation of grain mixtures, as well as longitudinal and transverse angles of inclination. The veracity of experimental studying results is proved by the corresponding theoretical models of the process.

show abstract

Improving Efficiency of Corn Seed Separation and Calibration Process

Cited by 2 publications

References 21 publications

Predicting the seeding quality of radish seeds with the use of a family of Nakagami distribution functions

Predicting the seeding quality of radish seeds with the use of a family of Nakagami distribution functions

Determination of Ways of Improving the Process of Separation of Seed Materials on the Working Surface of the Pneumatic Sorting Table

Contact Info

Product

Resources

About