基于NSGA-Ⅱ的马铃薯播种机作业参数对播种质量的影响OA

To further enhance the operational efficiency of potato seeders,this paper investigates the effects of walking speed,furrow depth,and seeding rate on seeding quality by employing a three-factor,three-level design.It evaluates the impact of different combinations of operating parameters on seeding quality.Subsequently,the Non-dominated Sor-ting Genetic Algorithm-Ⅱ(NSGA-Ⅱ)is introduced to optimize the operating parameters and obtain a set of Pareto op-timal solutions under different trade-offs.The optimized combination of operating parameters(walking speed of 4.50 km/h,furrow depth of 5.75 cm,and seeding rate of 7.50 kg/m2)achieves a good balance between seeding uni-formity,seed damage rate,and seedling emergence rate,while also providing high operational efficiency and seeding quality.