The present application provides a kind of coastal
saline soil
sunflower intelligent identification method, it is related to agricultural intelligent monitoring technical field, comprising: obtaining the image to be measured of target area;The image to be measured is input into the
sunflower intelligent identification model that is built, and the identification result is obtained;The construction method of the
sunflower intelligent identification model includes: obtaining the unmanned aerial vehicle collection image of sunflower area planted in coastal
saline soil field;The unmanned aerial vehicle collection image is filtered, labeled and data enhanced, and the enhanced
data set is obtained;According to the enhanced
data set, determine the
training set and the validation set, and input the
training set and the validation set into the improved YOLOv7tiny
network identification model for training and
verification, and the sunflower intelligent identification model that is built is obtained.The present application can not only be applied in coastal
saline soil, but also can be popularized to tea chrysanthemum and other chrysanthemum plants precise identification, to optimize the field management and yield
estimation of sunflower in coastal saline soil provides effective data support.