Aiming at the problems of high missing index and non-precision seeding due to the small theoretical seeding spacing, small qualified range and internal and external interference of the system during precision seeding of mung bean, an electric-driven mung bean precision seeder control system based on IGWO-LADRC was studied. The modeling of the seeding motor was proposed, and an improved grey wolf optimizer (IGWO) was proposed to tune the parameters of the linear active disturbance rejection control (LADRC). The advantages of intelligent control system were tested by comparing the four seeding motor control strategies of empirical tuning PID, empirical tuning LADRC, GWO-LADRC and IGWO-LADRC. Simulation experiment showed that the electric-driven mung bean precision seeding control system based on IGWO-LADRC algorithm had a fitness of 1.5320, no overshoot, a settling time of 0.57s, almost no steady-state error, a disturbance recovery time of 0.35s, and no oscillation phenomenon and no steady-state error after reached the steady state again. The results of the seeding performance experiment showed that compared with the traditional chain-driven seeding,qualified index was increased by 2.75 percentage points, multiple index was decreased by 0.46 percentage points, missing index was decreased by 2.22 percentage points, precision index was decreased by 8.91 percentage points, and the precision index of qualified seeding spacing was decreased by 7.89 percentage points,compared with the traditional PID electric-driven seeding, qualified index was increased by 2.20 percentage points, multiple index was decreased by 0.37 percentage points, missing index was decreased by 1.30 percentage points, precision index was decreased by 7.28 percentage points, and the precision index of qualified seeding spacing was decreased by 4.47 percentage points, all of which met the national standards.