The invention belongs to the field of agricultural product circulation intelligentization, and discloses an agricultural product supply and demand matching system and method. Methods such as model prediction, production monitoring and network information grabbing are used to predict the time to market and the market volume of agricultural products in all regions in advance; the demand for consumption of the agricultural products in all regions is predicted according to aspects such as population, an income level and a consumption habit in advance; market prices of the agricultural products can be judged through a big data technique from aspects such as monitoring data and network data, and supply and demand matching of the agricultural products is conducted in advance according to factors such as marketing periods of the agricultural products, preservation time, transportation preservation conditions and producing and marketing region prices. The matching and schedule arrangement of main agricultural products in the nation can be achieved in advance, a producing and marketing matching scheme which is highest in benefit can be custom-made for a producer and a customer, the best purchasing region is selected for the customer, the best marketing region is selected for the producer, so that the optimized producing and marketing matching and the lowest risk can be achieved.