A method for automatically counting the ear rate of wheat scab

[0054] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and drawings are used in conjunction with detailed descriptions, which are described as follows:

[0055] Such as figure 1 As shown, the method for automatically counting the diseased ear rate of wheat head blight according to the present invention includes the following steps:

[0056] The first step is the acquisition and preprocessing of wheat head blight images. Obtain several images of wheat head blight, and obtain the average temperature, precipitation and number of rainy days in the current month of the image as climate factors, and the images of wheat head blight and climate factors as training samples.

[0057] The second step is to construct a wheat head detection model for wheat scab image. Construct a deep convolutional neural network incorporating climate factors.

[0058] The deep convolutional neural netw