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Grassland spodoptera litura adult image detection method used under lamp trapping equipment

A technology of Spodoptera frugiperda and image detection, which is applied in image enhancement, image analysis, image data processing, etc., can solve problems such as rapid detection of Spodoptera frugiperda adults, and achieve the effect of enhancing reliability

Active Publication Date: 2019-11-08
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the defect in the prior art that it is difficult to quickly detect adults of Spodoptera frugiperda under lamp lure equipment, and provide a method for image detection of Spodoptera frugiperda adults under lamp lure equipment to solve the above problems

Method used

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  • Grassland spodoptera litura adult image detection method used under lamp trapping equipment
  • Grassland spodoptera litura adult image detection method used under lamp trapping equipment
  • Grassland spodoptera litura adult image detection method used under lamp trapping equipment

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Embodiment Construction

[0049] In order to have a further understanding and understanding of the structural features and the achieved effects of the present invention, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0050] Such as figure 1 As shown, a method for image detection of Spodoptera frugiperda adults under lamp lure equipment, comprising the following steps:

[0051] The first step is the collection and preprocessing of training samples: collect several images of adult S. frugiperda as training data, use the marker frame to mark the position of the adult S. frugiperda images, and normalize all the marked images to 64× 64 pixels.

[0052] The second step is to build and train the adult detection model of fall armyworm: based on the improved reinforcement learning and apprenticeship learning, an image detection model of fall armyworm adults is constructed and trained. The specific steps are as follows:

[0053] (1) Construct a convoluti...

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Abstract

The invention relates to a grassland spodoptera litura imago image detection method used under lamp trapping equipment. Compared with the prior art, the defect that grassland spodoptera litura imago rapid detection is difficult to conduct under the lamp trapping equipment is overcome. The method comprises the following steps: collecting and preprocessing training samples; constructing and traininga grassland spodoptera litura adult detection model; collecting and preprocessing adult images of the grassland spodoptera litura under the lamp inducing equipment; marking the grassland spodoptera litura adults under the lamp trapping equipment. According to the method, the defect that a large number of redundant candidate boxes generally need to be generated in a target detection method is overcome, the reliability of data is enhanced, candidate areas are greatly reduced while the detection precision of the grassland spodoptera litura adult image is guaranteed, and the detection speed is increased.

Description

technical field [0001] The invention relates to the technical field of image target detection, in particular to an image detection method for adults of Spodoptera frugiperda under lamp lure equipment. Background technique [0002] Spodoptera frugiperda is a major migratory pest that has been warned by the Food and Agriculture Organization of the United Nations. Adults can migrate hundreds of meters in the air with the help of wind for long-distance directional migration, and can fly 100 kilometers per night. If they can migrate before laying eggs 500 kilometers. It has strong reproductive ability and almost no natural enemies. [0003] The current pest level detection work mainly relies on the number of plant protection experts and agricultural technicians to kill the lamp traps to judge the level of pests. Since Spodoptera frugiperda is similar in shape to beet armyworm, Spodoptera litura, and armyworm, it is easy to be confused. It not only increases the difficulty of ma...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/73
CPCG06T7/0002G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30188G06T2207/30242G06T7/73
Inventor 贾秀芳谢成军周满李伟王儒敬张洁李瑞陈天娇陈红波
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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