Computer vision-based large field pest situation monitoring sampling device and sampling method

A computer vision and sampling device technology, which is applied in the direction of catching or killing insects, computing, closed-circuit television systems, etc., can solve the problems of overlapping pests and reducing the accuracy of recognition models, so as to improve accuracy and overcome the inability to count accurately and the effect of species recognition

Active Publication Date: 2015-09-16
ZHEJIANG UNIV
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Problems solved by technology

[0011] Aiming at the deficiencies in the prior art, the object of the present invention is to provide a computer vision-based monitoring and sampling device for insects in the field, which can effectively solve the problem of overlapping pests and insects in the automatic sampling process, and the abdominal image of insects The problem of the accuracy reduction of the recognition model caused by the difficulty of recognition

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  • Computer vision-based large field pest situation monitoring sampling device and sampling method
  • Computer vision-based large field pest situation monitoring sampling device and sampling method

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Embodiment Construction

[0054] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.

[0055] Such as figure 1 As shown, a field insect monitoring and sampling device based on computer vision includes an insect trap light 1, a transparent insect holding plate 3, an upper side camera 4 and a lower side camera 5 respectively located on the upper and lower sides of the transparent insect holding plate, image processing Terminal 8.

[0056] The bottom end of the insect trap lamp 1 is connected with a hose 2, through which the pests killed by the insect trap lamp are guided to the transparent insect bearing plate 3.

[0057] The two cameras are respectively installed on the supporting platform 7 through corresponding brackets.

[0058] In order to prevent dead insects from overlappin...

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Abstract

The invention discloses a computer vision-based large field pest situation monitoring sampling device and a sampling method. The sampling device includes a pest killing device, a transparent pest carrying board for carrying dead pests from the pest killing device, two cameras which are located at the upper side and the lower side of the transparent pest carrying board respectively and are used for acquiring images of the dead pests, and a terminal used for receiving the images from the cameras and recognizing the images. With the device of the invention adopted, the problem of the stacking of the bodies of the pests in an automatic sampling process, and the problem of precision drop of a recognition model which is caused by difficult recognition of the images of the abdomens of the bodies of the pests can be solved.

Description

technical field [0001] The invention relates to the technical field of precision agriculture, in particular to a computer vision-based sampling device and sampling method for field pest monitoring. Background technique [0002] China is a large agricultural country, so the monitoring of farmland pests and the statistical forecasting of pest disasters are very important. If the monitoring and forecasting is accurate and timely, pests can be controlled early, the amount of pesticides can be reduced, and major losses of crops can be avoided. In traditional methods, experienced farmers and insect taxonomy experts are generally used to identify pests, but manual identification is labor-intensive and inefficient. [0003] Therefore, the development of some intelligent wireless pest remote automatic monitoring devices will help improve the accuracy and efficiency of insect identification and counting, reduce the losses caused by insect pests, promote the implementation of precisio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06T7/00A01M1/04
Inventor 刘子毅何勇杨国国
Owner ZHEJIANG UNIV
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