A method for detecting diseases and pests of field crops based on an SSD convolution network
A convolutional network and field crop technology, applied in the field of deep learning and pattern recognition, can solve the problems of long detection time and low detection accuracy, and achieve the effects of fast operation speed, accelerated detection speed, and reduced quantity
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[0036] In order to make the purpose of the present invention and technical scheme clearer, below in conjunction with figure 1 , figure 2 and Fig. 3 describe the implementation steps in the present invention in detail.
[0037] see figure 1 , the SSD convolutional network used in the present invention consists of a VGG deep convolutional neural network and a multi-scale feature detection network, and extracts the feature maps of 7 different convolutional layers for detection.
[0038] The field crop disease and insect pest detection method based on SSD convolutional network provided by the present invention comprises the following operations:
[0039] 1) Use smart phones or Internet of Things devices to collect images of crop leaves and pests in the field, and build a database of crop leaves and pest images;
[0040] 2) Use the SSD convolutional network to detect disease spots and pests of various shapes and sizes from each image in the database. The SSD convolutional netwo...
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