Thermodynamic diagram-based network structure for quickly counting stephanitis chinensis drakes
A network structure, tea net bug technology, applied in the field of network structure, can solve the problems of identification, counting misjudgment, tea tree yield decline, affecting the accuracy and accuracy of identification, counting, etc., and achieve the effect of precise control work
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[0027] Such as Figure 1~5 Shown, a kind of network structure of fast counting tea net stinkbug based on heat map, it is characterized in that:
[0028] The input layer of the network structure is the heat map of the tea net bug (ie figure 1 The shown Input Image is a heat map), and the training process of the heat map uses the network structure of MCNN for training and evaluation.
[0029] The network structure includes a backbone network, a first feature fusion network, and a second feature fusion network; wherein, the backbone network includes a convolutional layer in a six-layer VGG16 network structure, that is, as figure 1 C shown 1 ~C 6 convolutional layer.
[0030] The first feature fusion network is to extract the pooling layer of each layer from the second convolutional layer of the backbone network (such as figure 1 As shown, the extracted backbone network C 2 ~C 6 The pooling layer of the first layer), and then through the MergeTB module, the features of the ...
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