Variable rate seeding (VRS) systems continue to be an innovative area of precision agriculture, enabling farmers to optimize seed distribution based on specific field conditions. This approach contrasts with traditional uniform seeding methods, which often fail to account for the spatial variability that exists within fields. VRS systems utilize data from soil sensors, precision soil sampling, remotely sensed imagery, high-resolution soil maps, elevation or topography maps, yield maps, and GNSS technology to create detailed maps of field variability. In essence, most VRS systems utilize extensive data, such as soil properties (Šarauskis et al., 2022), environmental conditions (Šarauskis et al., 2022), past crop yields, and current weather conditions, to offer tailored recommendations. Bullock et al. (1998) observed that implementing VRS profitably demands costly and detailed data on site characteristics, production inputs, and random factors. These spatial maps guide the seeding equipment to adjust the seeding rate in real time, ensuring that each area of the field receives the optimal amount of seed. This precision not only maximizes yield potential but also reduces input costs and minimizes environmental impact by avoiding over-seeding in less productive areas and under-seeding in more fertile zones.