This paper focuses on the multi-depot open vehicle routing problem in agricultural machinery cross-area dispatching. In order to realize the sufficient and reasonable deployment of multiple agricultural machineries in multiple depots, aiming at minimizing the total scheduling cost, we propose an improved genetic algorithm with fuzzy time window in terms of satisfaction. Specifically, considering comprehensive factors such as the total travel distance, different depot capacities and farmers' satisfaction, the mathematical model of real-time response scheduling of multi-depot agricultural machinery with fuzzy time window is established, combining with the improved initial population and cross mutation operation strategy to solve the optimal agricultural machinery scheduling route. Compared with the traditional genetic algorithm, the average reduction rate of the total distance of agricultural machinery dispatching is 7.31% within the acceptable range of farmers' satisfaction (50%-100%). The research realizes the accurate cross-area dispatching of agricultural machineries from multiple depots to multiple farmlands, which is useful for improving farmers' satisfaction, improving agricultural machinery operation efficiency and saving cost.