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With the development of intelligence, Beidou system has been widely used in agricultural machinery, but there is a problem of Beidou signal loss during operation. In response to the problem of Beidou signal loss in the electric control seeding system of the wheat plot, which leads to abnormal Beidou system messages and a decrease in seeding accuracy, a wheat plot seeding control system was proposed-based on fault-tolerant strategy. Firstly, by establishing a Beidou message parsing model, the factors affecting the speed of the seeding motor were determined, and a Beidou fault-tolerant strategy-based on trend moving average method was proposed. Secondly, the fuzzy neural network PID algorithm improved by particle swarm optimization algorithm was applied to achieve precise control of the motor. Finally, experimental verification was carried out. The results of the bench test showed that when artificially modifying the Beidou message to simulate anomalies, the average coefficient of variation for the consistency of wheat row displacement was 3.87%, which met the seeding requirements. The fault-tolerant strategy was applied to field sowing operations in a wheat plot. The experimental results showed that the coefficient of variation of multi-row sowing uniformity in three sets of experiments were 19.94%, 20.76%, and 21.79%, respectively. And the coefficient of variation for uniformity of single row sowing was 19.93%, 20.87%, and 22.26%, respectively, which met the national standards and agricultural requirements for the wheat plot, and verified the reliability and accuracy of the seeding control system-based on fault-tolerant strategy.