A method for automatically counting the ear rate of wheat scab

A technology of wheat scab and a statistical method is applied in the field of automatic statistics of wheat scab disease and ear rate, which can solve the problem of difficult identification of scab images, and achieve the effect of improving the level of intelligence and increasing the accuracy of judgment.

Active Publication Date: 2018-12-25
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] The purpose of the present invention is to solve the defects in the prior art that scab images are easily affected by background, light and oc

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  • A method for automatically counting the ear rate of wheat scab
  • A method for automatically counting the ear rate of wheat scab
  • A method for automatically counting the ear rate of wheat scab

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[0054] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and drawings are used in conjunction with detailed descriptions, which are described as follows:

[0055] Such as figure 1 As shown, the method for automatically counting the diseased ear rate of wheat head blight according to the present invention includes the following steps:

[0056] The first step is the acquisition and preprocessing of wheat head blight images. Obtain several images of wheat head blight, and obtain the average temperature, precipitation and number of rainy days in the current month of the image as climate factors, and the images of wheat head blight and climate factors as training samples.

[0057] The second step is to construct a wheat head detection model for wheat scab image. Construct a deep convolutional neural network incorporating climate factors.

[0058] The deep convolutional neural n...

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Abstract

A method for automatically counting the ear rate of wheat scab features that the image of wheat scab is easily affected by background, and the influence of illumination and shade is difficult to be recognized, compared with the prior art. The invention comprises the following steps: acquiring and preprocessing the wheat scab image; construction of Wheat Spike Detection Model Based on Wheat Scab Image; training depth convolution neural network; collection and preprocessing of Wheat Fusarium Head Blight Images; counting of normal ear and diseased ear; calculating the rate of diseased panicle. The invention realizes the automatic statistics of wheat scab ear rate through the machine vision method, and improves the intelligence level, robustness and detection precision of wheat scab ear rate statistics.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an automatic statistical method for ear rate of wheat scab disease. Background technique [0002] Wheat head blight is one of the main diseases of wheat. It is an explosive and destructive epidemic disease, which can lead to severe production reduction or even failure of wheat, and the diseased wheat also contains toxins that are harmful to humans and animals. The statistics of ear rate of wheat scab disease is an important content of wheat scab disease control work, and it is the premise and basis of control and scientific and safe drug use. [0003] The existing statistics on the ear rate of wheat scab disease mainly rely on plant protection experts and agricultural technicians to complete, but the manpower is limited, the manual statistics are poor in real-time, low in efficiency, and subjectivity, which makes the prediction of wheat scab disease difficult. effectiv...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06K9/46G06K9/40
CPCG06N3/084G06V10/30G06V10/50G06V10/56G06N3/045G06F18/24G06F18/253
Inventor 张洁王儒敬谢成军李瑞陈天娇陈红波胡海瀛
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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