Focused on the problems of low function integration, incomplete detection parameters and poor synchronicity and flexibility of corn electric drive precision seeder detection system, the sensors required for the detection parameters were selected, the sensor-detection parameter model was constructed, the signal synchronization acquisition, processing and interaction procedures were developed, and the detection system of the operating condition parameters of corn electric drive precision seeder based on cDAQ controller was created. The system was based on the principle of high-frequency, real-time, synchronous sampling, the hardware adopted cDAQ equipment as the data acquisition controller, and configured separate sampling channels for the signals of each parameter; the software design combined the LabVIEW platform to design the signal processing program and human-computer interactive interface, set up uniform software triggers for all the signal acquisition loops and configure the network ports, and provided the clock for the system by the host computer. The upper computer provided the clock signal for the system to realize the real-time high precision acquisition of a variety of working condition parameters, such as operating speed, seeder meter plate rotation speed, seeding rate, seeding depth, downforce, wind pressure, vibration and so on, in the process of seeding operation. In order to verify the reliability of the detection system, the bench test for seed meter plate rotational speed and seeding rate detection was carried out, together with a field test for operating speed, sowing depth detection, and downforce. The results of the bench test showed that the average absolute error of seed meter plate rotational speed detection was no more than 0.44r/min, and the average relative error was no more than 3.56%; the accuracy of seeding rate detection was no less than 98.50%; the results of the field test showed that in the operating speed range of 0~15km/h, the average relative error of operating speed detection was 4.42%; above 6km/h three rows of monomer seeding depth detection average, standard deviation, coefficient of variation were 2.70%~7.53%, 4.03~7.72mm and 13.99%~17.42%, respectively; downforce static detection test showed that the average difference between the two groups of monomer downforce was close to the actual value of the difference, the relative error was no more than 5.93%, at the low speed of 3~6km/h and 12~15km/h high speed operation, the maximum relative error between the average difference of the two groups of monobloc lower pressure and the actual value detected by the system was 14.91% and 19.30%, respectively.