Physical characteristics determination of soybean seeds will help optimize processes and the development of projects and regulation of post-harvest equipment. Thus, the study aimed to characterize and correlate the physical properties of different varieties of soybean seeds to identify and form groups of cultivars with physical similarities for a technical-scientific recommendation of management of seed lots, adjustments, and dimensioning equipment and structures post-harvest. Seeds from forty soybean cultivars were clustered using the k-means algorithm, which groups treatments whose centroids are closest until there is no significant variation in each observation's minimum distance to each centroid characterized as G1-seeds larger, G2-seeds medium-large, G3-seeds medium-smaller, G4-seeds smaller. Next, Pearson's correlation coefficients were estimated to verify the association between physical properties. The cultivars of G1 and G4 differed from the predominant groups G2 and G3. The cultivars FLECHA IPRO, 6139 RR, KWS RK 6813 RR, KWS RK 6813 RR2, and MAMBA RR predominated as G1-seeds larger. The cultivars NS 7447, TMG 1180GX RR, KWS RK 6813 RR2, CD 2686 IPRO, M6410, 6139 RR, and 8473 RR predominated as G4-seeds smaller. The correlation of most physical properties between cultivars was low, indicating individual evaluations in projects. The physical variability of soybean seeds defined the important interaction between the industry of post-harvest equipment manufacturing and the area of genetic improvement of seeds to advance the development of quality technologies, enabling the optimization of agricultural processes.

大豆种子物理特性的测定将有助于优化工艺和项目的开发以及收获后设备的监管。因此，该研究旨在表征和关联不同大豆种子品种的物理特性，以识别和形成具有物理相似性的栽培品种组，从而为收获后的种子批次管理、调整和尺寸测量设备和结构提供技术科学建议。 . 来自四十个大豆品种的种子使用 k 均值算法进行聚类，该算法将质心最接近的处理分组，直到每个观察到每个质心的最小距离没有显着变化，特征为 G1-种子较大，G2-种子中等，G3 -种子中等较小，G4种子较小。接下来，皮尔逊 s 相关系数被估计以验证物理特性之间的关联。G1 和 G4 的栽培品种与优势组 G2 和 G3 不同。栽培品种 FLECHA IPRO、6139 RR、KWS RK 6813 RR、KWS RK 6813 RR2 和 MAMBA RR 占优势，因为 G1 种子较大。栽培品种 NS 7447、TMG 1180GX RR、KWS RK 6813 RR2、CD 2686 IPRO、M6410、6139 RR 和 8473 RR 占优势，因为 G4 种子较小。品种之间大多数物理特性的相关性较低，表明项目中的个体评估。大豆种子的物理变异性决定了收获后设备制造行业与种子遗传改良领域之间的重要相互作用，以促进质量技术的发展，实现农业过程的优化。