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Environment-controllable hyperspectral image detecting device for crop nutrition and moisture

A hyperspectral image and crop nutrition technology, which is applied in the field of environment-controllable crop nutrition and moisture hyperspectral image detection devices, can solve difficult problems such as high-precision quantitative analysis of crop nutrition and moisture, and achieve extended wavelength range and recognition accuracy. The effect of reducing detection error and improving validity and separability

Inactive Publication Date: 2011-06-01
JIANGSU UNIV
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Problems solved by technology

However, due to the influence of sampling method, resolution and external environmental factors, it is still difficult to achieve high-precision quantitative analysis of crop nutrition and water.

Method used

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  • Environment-controllable hyperspectral image detecting device for crop nutrition and moisture
  • Environment-controllable hyperspectral image detecting device for crop nutrition and moisture

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Embodiment Construction

[0049] The present invention will be described in detail below in conjunction with the accompanying drawings and implementation steps.

[0050] Refer to attached figure 1 According to the present invention, an environment-controllable crop nutrient moisture hyperspectral image detection device includes a hyperspectral imaging system and a light box system.

[0051] The hyperspectral imaging system includes a camera 4 (the imaging spectral range of the camera is 400-1700nm, wherein 400-700nm belongs to the visible light range, and 700-1700nm belongs to the near-infrared range), an imaging spectrometer 3, a lens 2 and a computer 10, the camera 4 and the imaging spectrum. The spectrometer 3 is connected to the computer 10 through the USB interface. The hyperspectral imaging system continuously images the same target with hundreds of bands at a high resolution of 2-5nm on a continuous spectrum band, forming a spectrum arranged in order of wavelength. The image data cube transmits...

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Abstract

The invention relates to nutrient diagnosis of crops, in particular to an environment-controllable hyperspectral image detecting device for crop nutrition and moisture. The device comprises a hyperspectral imaging system and a light box system. The hyperspectral imaging system can be used for extracting and analyzing the visual image features and the reflection intensity distribution features of the crop nutrition and moisture by acquiring crop visible light-near infrared hyperspectral image data cubes. The light box system can be used for presetting and regulating standard value of detection environment parameters such as illumination, temperature, humidity and the like, providing the stable detection environment for the hyperspectral detection of the crop nutrition and moisture, and meanwhile, studying the hyperspectral image features of the crop nutrition and moisture under different environmental conditions. By optimizing the visible light-near infrared hyperspectral image features and combining environment monitoring information, error influences caused by variations of environmental factors such as light intensity and the like can be effectively reduced so as to realize the rapid detection of the crop nutrition and moisture information.

Description

technical field [0001] The invention relates to an environment-controllable crop nutrient-moisture hyperspectral image detection device, especially capable of utilizing the visible light-near-infrared hyperspectral image characteristics of crops, combined with real-time detection and regulation of environmental information, and can realize the detection of different environmental conditions. An automatic device for online detection and experimental research of crop nutrition and moisture. Background technique [0002] At present, the known nutritional diagnosis of crops is mainly based on routine laboratory tests, mainly including morphological diagnosis, leaf color card method, chemical diagnosis, fertilizer window application diagnosis and enzymatic diagnosis. The water stress detection of crops is also mainly based on laboratory analysis. These traditional testing methods usually cause damage to crops and affect crop growth, and require a lot of manpower and material res...

Claims

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Application Information

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IPC IPC(8): G01N21/29G01N21/35G01W1/02G01N21/359
Inventor 张晓东毛罕平张红涛左志宇陈树人孙俊
Owner JIANGSU UNIV
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