Mathematical model of the movement of flax seeds in the seed channel based on the use of fuzzy logic

The paper presents a mathematical model of the movement of flax seeds in the seed line, based on fuzzy logic and taking into account the stochastic nature of key sowing factors. The model allows for improved dosing accuracy and uniform seed distribution by using linguistic variables and fuzzy inference rules. It is based on the formalization of uncertainties inherent in the real process, such as fluctuations in moisture content, variations in seed size, and changes in air flow velocity. Using a fuzzy knowledge base, the relationships between input parameters (seed tube diameter, angle of inclination, and air flow rate) and output indicators (flow density and uniformity of seeding) are described. The model includes a fuzzyification block, a fuzzy inference mechanism, and a fuzzyification of the results, which ensures adaptability to changing conditions. The practical implementation contributes to the optimization of sowing operations and the increase in crop yields.