Agricultural product planting recommendation method and system based on big data

The invention relates to the technical field of agricultural production, and provides an agricultural product planting recommendation method and system based on big data, and the method comprises the steps: obtaining a price trend chart of a certain agricultural product; obtaining the popularity degree of the agricultural product; obtaining the meteorological factor grade of the agricultural product at the output place; comparing the price trend chart with a historical price curve in combination with a meteorological factor level, extracting a similar curve, and taking the price trend of the next period as an initial predicted price trend; selecting a price trend chart of the benchmark agricultural product based on the popularity degree and the meteorological factor grade, and correcting the preliminary predicted price trend to obtain a predicted price trend chart of the agricultural product; and based on the predicted price trend chart of the agricultural product, judging whether the agricultural product is