The invention relates to the technical field of wheat abiotic stress identification, in particular to a wheat drought identification method. A method for identifying the drought of wheat comprises thefollow steps of: a) carrying out a drought control experiment of wheat in a greenhouse by adopting a pot experiment method, wherein the drought grade are suitable, light drought, medium drought, severe drought and special drought; b) continuously acquiring wheat images of different drought grades by using a single-lens reflex camera, labeling the wheat images, and randomly dividing the data setsinto a training set and a test set; c) extracting image features using convolution operations of Inception_V3, Resnet_50, Resnet_152, which are pre-trained on ImageNet, and training the final classification layer; d) testing the trained depth learning network with the test set, and representing the accuracy of drought stress identification and classification with the accuracy of drought stress identification DSI and drought stress classification DSC respectively. As the wheat phenotypic characteristics are extracted by a depth learn method through acquiring a wheat digital image, the drought stress is identified and classified base on a disaster-bearing body, the drought stress is timely, accurate, lossless, and the wheat phenotypic characteristics are high in accuracy.