on this fact, considerable research has been conducted on the design and optimization of pneumatic seed metering devices for vegetable seeds. Using pelletized vegetable seeds as the object, [PERSON] et al. [7] optimized the suction hole type and designed a seed unloading mechanism for an air-suction vegetable seed metering device to solve the instability of the seed adsorption caused by blockage of the suction hole, and carried out orthogonal experiments and regression analysis to optimize the seed-throwing angle, working speed, and negative pressure. In the subsequent research, [PERSON] et al. [8] further carried out the structural design and parameter optimization to address the problem of missed seeding of the device, using pelletized Chinese flowering cabbage seeds as the object. They designed a seed spoon structure that can disturb the seed groups and endow the seeds with a certain initial speed during the seed filling phase, which reduces the seed groups' interference and the difficulty of seed adsorption, and they optimized the parameters of the seed spoon and seed cleaning device, reducing the missing rate and increasing the single-seed rate of the device. [PERSON] et al. [9] designed a seed stirring strip structure for a vegetable pneumatic seed metering device, and three types of vegetable seeds with different shapes (Chinese flowering cabbage, radish, and pepper seeds) were used for the structural design and parameter optimization research to enhance the general applicability of the device. Nine groups of experiments and regression analysis were first conducted to optimize parameters of the seed stirring strip for each seed type. Under the optimized parameters of the seed stirring strip, another 17 groups of experiments and regression analysis were then carried out to optimize working parameters of the device for each seed type. The research results show that the seeding performance of the device was improved for each seed type, and its general applicability was enhanced. To reduce the reseeding index of a vegetable air-suction seed metering device, [PERSON] et al. [10] designed a four-stage seed cleaning mechanism using Chinese cabbage seeds as the object, optimizing the working speed, negative pressure, and parameters of the seed cleaning mechanism through orthogonal experiments and regression analysis, by which the device achieved better seed cleaning and seeding performance. The research mentioned above reveals that, currently, problems of hole blockage, missed seeding, and reseeding exist in the operation of pneumatic vegetable seed metering devices, which are solved mainly through structural design and parameter optimization. However, each of the existing optimization studies of pneumatic vegetable seed metering devices is merely conducted for a small number of types (usually 1-3 types [11; 12; 13; 14; 15]) of vegetable seeds, for which reason the optimization results may not be applicable to other types or shapes of vegetable seeds. The complicated and time-consuming process of optimization to be repeated to obtain the optimal parameters for new types and shapes of vegetable seeds will lead to extremely low research efficiency. Therefore, it is of great importance to improve the parameter optimization efficiency to fully utilize the characteristic of the high general applicability of the pneumatic seed metering devices, enabling them to better perform seed metering for more types of vegetable seeds. Some research has been conducted on pneumatic seed metering devices for multiple types of seeds. [PERSON] et al. [16] measured the surface area, thousand-grain weight, kernel density, and sphericity of seven types of seeds and determined the optimal vacuum pressure for each. Then, an artificial neural network was used to establish a predictive model with these physical properties as inputs and the optimal vacuum pressure as output. The model's accuracy was 99%, indicating that the optimal vacuum pressure can be accurately predicted from a seed's physical properties. [PERSON] et al.