A Straw Coverage Rate Calculation Method Based on Single Image Processing

This paper proposes a straw coverage rate calculation method based on single-image processing. This method uses a convolutional neural network (CNN) to extract features from images of fields covered with straw, classifies the image based on the features, and then uses an image binarization method to distinguish the straw and the land parts in the image and calculate the straw coverage rate based on the proportion of the straw part. This method has been applied in the land classification project in a particular region. These results demonstrate that this method effectively calculates straw coverage rates and can be used in other fields of precision agriculture.