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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

Active Publication Date: 2020-12-18
CHONGQING ACAD OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the adult nymphs of the tea net stinkbug gather densely on the back of the leaves, and when the leaves cover and overlap each other, it greatly affects the accuracy and precision of their identification and counting; at the same time, the black mucus-like excretion they produce easily causes work. Misjudgment of personnel identification and counting will further affect the accuracy and accuracy of identification and counting, slow down the prevention and control of tea net bugs, miss the best opportunity to control tea net bugs, and lead to a decline in tea tree production and affect tea quality, etc. question

Method used

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  • Thermodynamic diagram-based network structure for quickly counting stephanitis chinensis drakes
  • Thermodynamic diagram-based network structure for quickly counting stephanitis chinensis drakes
  • Thermodynamic diagram-based network structure for quickly counting stephanitis chinensis drakes

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Embodiment

[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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Abstract

The invention provides a thermodynamic diagram-based network structure for quickly counting stephanitis chinensis drakes. The network structure comprises a backbone network, a first feature fusion network and a second feature fusion network, wherein the backbone network comprises a convolution layer in a VGG16 network structure. Through the fusion of the backbone network and the first feature fusion network, shallow features are fused to deep features, and the spatial information and the detail information of the deep features are supplemented and enriched. In addition, through the fusion of the backbone network and the second feature fusion network, the deep features are reversely fused to the shallow features, so that the situation that the spatial information and the detail informationof the shallow features cannot be fully expressed after the deep feature information is enriched is avoided. Through the bidirectional feature fusion structure, the spatial information and the detailinformation of the shallow features and the deep features can be fully expressed, so that the stephanitis chinensis drakes can be identified and counted timely, quickly and accurately, and interference is avoided.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a network structure for quickly counting tea net bugs based on a thermodynamic map. Background technique [0002] Tea net stinkbug, Stephanitis chinensis Drake, is a kind of insect belonging to the genus Corona chinensis of the family Hemiptera. The body length of the tea-net bug adult is 3-4 mm, small and flat, dark brown, with a reticulate pattern on the front chest; the body shape of the tea-net bug nymph is adult-like, wingless, and the body color varies with the age of the insect, a total of 5 instars, 5 Instar nymphs are about 2 mm long, black in body, red in compound eyes, and obvious in wing buds. [0003] Tea net bugs form and nymphs like to cluster on the back of tea leaves to suck juice, resulting in many dense white spots on the damaged leaves, and the tea tree looks gray from a distance; at the same time, black mucus-like excretion of tea net bugs appears i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/52G06V10/80Y02A50/30
Inventor 王晓庆陈世春江宏燕胡翔彭萍尹旭敏商靖
Owner CHONGQING ACAD OF AGRI SCI
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