Fast detection method for rape water demand information

A detection method and rapeseed technology, applied in the direction of color/spectral characteristic measurement, etc., can solve the problems that have not yet been seen, and achieve the effect of small measurement error, improved accuracy and stability

Inactive Publication Date: 2013-04-03
JIANGSU UNIV
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At present, there are no relevant patents and reports on the use of near-infrared hyperspectral i

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  • Fast detection method for rape water demand information
  • Fast detection method for rape water demand information

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Embodiment Construction

[0018] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0019] In order to achieve the above object, the present invention adopts a self-constructed near-infrared hyperspectral imaging device to collect near-infrared hyperspectral data of rape samples. The near-infrared hyperspectral imaging device includes the following components: light box 1, tungsten halogen light source 2, controller 3 , a computer 4, a near-infrared camera 5, a spectrograph 6, a lens 7, a Y-branch linear lamp 8 and an electronically controlled displacement stage 9. The function of light box 1 is to shield external interference and provide a stable light source and detection environment for near-infrared hyperspectral data collection. The top center of light box 1 is fixed with a hyperspectral system composed of near-infrared camera 5, spectrograph 6 and lens 7. Imaging sensor; the geometric center of the bottom surface of the light box is fi...

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Abstract

The invention relates to a fast detection method for rape water demand information. According to the method, a near infrared hyperspectral imaging device is adopted, wherein the near infrared hyperspectral imaging device comprises a light box, a halogen lamp light source, a controller, a computer, a near infrared camera, a spectrograph, a lens, Y branch linear lamps and an electrical control displacement table. The near infrared hyperspectral imaging device is used for acquiring the hyperspectral data cube of a rape leaf; target and background difference in hyperspectral images under different wavelengths is compared; a 970-nm image with larger background difference is adopted for target background partition; the optimal wavelength of rape water content is abstracted; major constituent image data in 720 nm, 960 nm and 1450 nm positions is abstracted through ENVI software; grayness, texture and reflection strength distribution characteristic space for a major constituent image is established; a rape water content predictive model is established according to leaf water content data on the basis of the partial least square method; and rape water demand and irrigation reference information is given by referring to control group samples and real-time environment humiture data of standard management. Therefore, fast nondestructive detection of rape water demand information is realized.

Description

technical field [0001] The invention relates to a non-destructive detection method for water demand information of rapeseed, especially refers to non-destructive detection of water stress state of rapeseed based on near-infrared hyperspectral imaging technology, combined with real-time environmental information detection, evaluation of water demand information of rapeseed and irrigation decision-making management Methods. Background technique [0002] Rapeseed is one of the most important oil crops in China, with an annual planting area of ​​more than 100 million mu and an annual output of nearly 10 million tons of rapeseed, accounting for 40%-45% of the total output of oil crops. Rapeseed is a crop that needs more water. Water stress causes physiological obstacles to the growth and development of rapeseed, which inhibits plant protein synthesis; it also has a great impact on the absorption and utilization of boron. Rapeseed is a boron-sensitive crop, and boron deficiency of...

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Application Information

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IPC IPC(8): G01N21/35G01N21/25
Inventor 张晓东左志宇毛罕平高洪燕孙俊朱文静张红涛韩绿化
Owner JIANGSU UNIV
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