Method for automatically detecting three-true-leaf period of cotton

An automatic detection, cotton technology, applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve the problems of easy interference, unfavorable images of crop growth conditions, no intuitive reflection of plant growth conditions, etc., to eliminate random errors and improve accuracy. sexual effect

Active Publication Date: 2012-08-15
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

This method uses hyperspectral data to monitor the growth information of cotton. Although the growth information of the growth period is obtained, it does not detect the specific growth period of cotton.
Moreover, hyperspectral data, like remote sensing data, is susceptible to interference and does not directly reflect the growth status of plants
[0004] The above monitoring of cotton growth, area, yield and growth period information is determined using satellite images, remote sensing data or hyperspectral data, but these images are not conducive to accurately judging the growth status of crops due to their own limitations

Method used

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  • Method for automatically detecting three-true-leaf period of cotton
  • Method for automatically detecting three-true-leaf period of cotton
  • Method for automatically detecting three-true-leaf period of cotton

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Embodiment Construction

[0028] The invention extracts the features of the collected real-time downward-looking cotton field images, and uses the extracted image features to provide an automatic detection method for the three true leaf stages of cotton. The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0029] The general idea of ​​the present invention is: use the color feature to segment the cotton field image taken by the camera on the day, intercept a plurality of sub-regions in the cotton leaf image obtained by segmentation, and compare the number of cotton leaf pixel points in the sub-region with the image of the initial detection day The number of pixel points of cotton leaves counted in the same sub-region is compared. If the number of pixel points increases significantly, it is determined that cotton has entered the three true leaf stage.

[0030] 1. Determine the center point

[0031] In order to co...

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Abstract

The invention provides a method for automatically detecting a three-true-leaf period of cotton. The method includes adopting a real-time downward-looking image acquired in a cotton field as an object; dividing cotton plants by the aid of color characteristics; and judging whether the cotton reaches the three-true-leaf period or not by the aid of extracted characteristics of the image. Important parameters representing the growth condition of the cotton are used as judgment basis in the method, the growth period of the cotton is judged in the field, and the accuracy of a detection result is high. In addition, the method has an important guidance significance for evaluation of agricultural metrological conditions for growth of the cotton and farming activities of the cotton.

Description

technical field [0001] The invention belongs to the field of combination of digital image processing and agricultural meteorological observation, and in particular relates to a method for detecting whether cotton has reached the third true leaf stage by using image features to take cotton field down-view sequence images as objects. Background technique [0002] Cotton is one of the main economic crops in my country, and the planting area is very extensive. Cotton development period, yield and quality are vulnerable to climate change. For a long time, the observation of cotton development period has been mainly through manual observation, which is greatly affected by the subjective factors of observers. At the same time, due to the long observation period and wide area, it is not economical to use manpower to observe. Therefore, it is very necessary to observe the developmental stages of cotton fields by taking video images of cotton fields and using image processing methods...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G06K9/46
Inventor 曹治国吴茜余正泓白晓东王玉张雪芬薛红喜李翠娜
Owner HUAZHONG UNIV OF SCI & TECH
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