Crop canopy coverage rate evaluation method and system

The invention discloses a crop canopy coverage rate evaluation method. The method comprises the following steps: constructing visible light through camera equipment for data acquisition; performing Retinex single-scale image processing on the acquired data; performing block processing on the to-be-analyzed field block; extracting an image of each unit field block by adopting OpenCV image processing, obtaining data values of three channels of r, g and b of the image, converting the data values into a unit8 data structure type, and performing binarization processing; and calculating the total value of the green pixel points in all the pixel points of the field to obtain a canopy coverage rate index P. According to the method, data are acquired through the camera acquisition device, an image algorithm model is constructed through an OpenCV artificial intelligence technical means, azimuth information with poor crop canopy coverage rate is automatically output, intelligent evaluation is achieved, and the accuracy