Image-based automatic identification method for drought stress on corn at earlier growth stage

A drought stress and automatic recognition technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as low work efficiency and unsupported real-time monitoring

Active Publication Date: 2017-11-24
TIANJIN UNIV
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Problems solved by technology

This type of method has strict requirements on the conditions for collecting leaf images, the work efficiency is low, and it does not support real-time monitoring.

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  • Image-based automatic identification method for drought stress on corn at earlier growth stage
  • Image-based automatic identification method for drought stress on corn at earlier growth stage
  • Image-based automatic identification method for drought stress on corn at earlier growth stage

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Embodiment Construction

[0049] The technology of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, and the described specific embodiments are only to illustrate the present invention, and are not intended to limit the present invention.

[0050] The design idea of ​​an image processing-based automatic drought stress recognition method in the early stage of corn plant growth is to extract 12-dimensional color features and texture features to form the feature vector of the image, combine different drought stress sample sets, and train to form two The level identification model can effectively automatically identify the drought stress level of corn plants in the early growth stage.

[0051] Such as figure 1 As shown, the present invention proposes a kind of drought stress automatic recognition method based on image processing early stage of corn plant growth, comprising the following steps:

[0052] Step 1, prepare im...

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Abstract

The invention discloses an image-based automatic identification method for drought stress on corn at an earlier growth stage. The method comprises: step one, preparing earlier-growth-stage corn plant image sample sets on different drought stress conditions; to be specific, acquiring a plurality of earlier-growth-stage corn plant image samples on different drought stress conditions by using imaging equipment, carrying out segmentation on the sample images, carrying out feature extraction on the segmented target images to obtain feature vectors of the image samples, and recording drought types to which the image samples belong; step two, training a two-stage drought stress automatic identification model by using the obtained earlier-growth-stage corn plant image sample sets; and step three, carrying out automatic identification on the drought stress on the earlier-growth-stage corn image samples. With the method disclosed by the invention, automatic identification of the drought stress state of the earlier-growth-stage corn plant is realized; the agricultural drought disasters can be warned early and timely; and thus the corn plant and economic losses are reduced. And the effectiveness of the method is verified by the experiment.

Description

technical field [0001] The invention belongs to the field of digital image processing and agricultural automation, and in particular relates to an image-based method for automatically identifying drought stress of corn plants in the early growth stage. Background technique [0002] Maize plants are sensitive to water stress, and drought in different stages will affect the normal growth and development of maize [1] , resulting in reduced number of leaves, reduced leaf area, reduced plant height, etc. [2,3] , leading to varying degrees of losses in corn yields. Accurate and reliable identification of drought stress on maize crops in the early growth period is of great significance for maize growth and agricultural production activities. [0003] Soil drought and atmospheric drought are the main causes of crop physiological drought. The remote precipitation sensor can be used to predict the drought situation in the area, and then predict whether the corn will be drought-affe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/194G06K9/46G06K9/48G06K9/62
CPCG06T7/0012G06T7/11G06T7/194G06T2207/20081G06T2207/20064G06T2207/10024G06T2207/10004G06T2207/30004G06V10/478G06V10/56G06F18/24323
Inventor 王萍庄硕姜博然
Owner TIANJIN UNIV
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