Crop area measurement and gramineous crop yield estimation method and system

The invention discloses a crop area measurement and gramineous crop yield estimation method and system, and the method employs a single Prompt SAM model to interpret a remote sensing image obtained by an unmanned plane to obtain the crop area of a target region, and employs a mapping algorithm from the pixel coordinates of the remote sensing image to the geographic coordinates to map the interpretation result to the geographic coordinates in real time. A YOLO series model is used for carrying out target detection on a detection target shot by an unmanned aerial vehicle at a low altitude to obtain the number of wheat ears, and then the wheat ear planting density is obtained. And calculating results of the two models and manually set average quality parameters of each plant to obtain the final required estimated yield quality. According to the method, a single prompt model is provided for the situation that standard data in the agricultural field is deficient, so that a task target can be achieved without train