Weed recognition method and device and terminal equipment

An identification method and technology for weeds, applied in the field of neural networks, can solve the problems of poor weed identification efficiency and identification accuracy, and achieve the effects of improving accuracy and identification efficiency and enhancing robustness.

Active Publication Date: 2019-08-16
HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a weed identification method, device and terminal equipment to solve the problems of poor identification efficiency and identification accuracy in the prior art

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  • Weed recognition method and device and terminal equipment
  • Weed recognition method and device and terminal equipment
  • Weed recognition method and device and terminal equipment

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Embodiment Construction

[0027] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0028] The terms "comprising" and any variations thereof in the description and claims of the present invention and the above drawings are intended to cover non-exclusive inclusion. For example, a process, method or system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units not listed, or optionally furth...

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Abstract

The invention is applicable to the technical field of neural networks, and provides a weed recognition method and device and terminal equipment, and the method comprises the steps: obtaining a to-be-recognized weed image; inputting the weed image to be identified into a target convolutional neural network model to obtain a first feature map; inputting the first feature map into a target generativeadversarial network, and performing noise adding processing on the first feature map; and finally inputting the noise-added first feature map into a target identification network to obtain the classification probability and weed prediction position of the first feature map. Through comprehensive utilization of the convolutional neural network model and the generative adversarial network, the robustness of the weed identification overall model can be enhanced, and thus the accuracy and efficiency of weed identification are improved.

Description

technical field [0001] The invention belongs to the technical field of neural networks, and in particular relates to a weed identification method, device and terminal equipment. Background technique [0002] The flowers, plants and trees in the lawn are the basis of the natural landscape of the garden, and are very important for the function of the garden. Lawn weeds usually grow together with landscape plants. There are various types, rapid growth and strong vitality. These weeds include not only dicotyledonous broad-leaved weeds, but also monocotyledonous grasses and sedges. After breeding, they compete with landscape plants for nutrients and growth space, and can quickly develop into Dominant populations may even cause premature aging and degradation of the original natural landscape. Therefore, in the daily maintenance of the natural landscape of the garden, a large amount of cost needs to be invested to remove and control the weeds. [0003] However, accurate identif...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62A01M21/02
CPCA01M21/02G06V20/10G06F18/241
Inventor 李春明逯杉婷
Owner HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY
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