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Method for predicting nitrogen content of cucumber leaf based on spectral image analysis

A spectral image and prediction method technology, applied in the field of agriculture, can solve the problems of high cost of equipment, complex algorithms, unsuitable for real-time processing, etc., and achieve the effect of low cost, simple operation, fast prediction, intuitive and effective

Inactive Publication Date: 2011-09-07
BEIJING KINGPENG INT HI TECH CORP
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Problems solved by technology

However, the common problems of multispectral cameras currently used for crop spectral analysis are that the algorithms are too complex and not suitable for real-time processing, or there are certain strict requirements on shooting conditions and targets, and the cost of equipment is also high, so it is urgent to find a better solution. The method implements

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  • Method for predicting nitrogen content of cucumber leaf based on spectral image analysis
  • Method for predicting nitrogen content of cucumber leaf based on spectral image analysis
  • Method for predicting nitrogen content of cucumber leaf based on spectral image analysis

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Embodiment Construction

[0026] refer to figure 1 Shown, the specific steps of an embodiment of the cucumber leaf nutrient element inspection method based on spectral image analysis of the present invention are:

[0027] Step 1. Prepare four smooth panels (calibration panels) with different shades of color with different proportions of pure white and pure black paints, each with a size of 10 cm. The reflectance data of the calibration panels as a function of wavelength is collected with an NDVI tester , each acquisition is calibrated with a whiteboard, and the data measured at different time periods are basically unchanged. It can be seen that the reflectance of the calibration plate in different bands is basically not affected by the external lighting conditions, and an empirical formula can be established between the reflectance and the gray value to reduce the error in the calculation of the leaf reflectance.

[0028] see figure 2 , establish the empirical formula between the reflectance (y) and...

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Abstract

The invention discloses a method for predicting nitrogen content of cucumber leaf based on spectral image analysis. The method is characterized by comprising the following steps of: adding an infrared and red light filter with a characteristic wave length in front of the lens of a CCD (charge coupled device) camera, and firstly collecting a near-infrared and red light image of the cucumber leaf to obtain the gray value of the cucumber leaf; measuring the vegetation reflection range RIR at the characteristic wave length of the infrared light and the reflection rate RR of the cucumber leaf at the infrared characteristic wave length through an empirical formula; obtaining a normalized difference vegetation index (NDVI) according to the reflection rate values RIR and RR of the cucumber leaf at the infrared characteristic wave length and a red light wave segment; and judging the nitrogen content level of the cucumber leaf according to the NDVI so as to realize the prediction on the nitrogen content of the cucumber leaf. By the method, the nutrient state of crops can be obtained visually and effectively, and the nitrogen content of cucumber leaf can be predicted quickly and visually.

Description

technical field [0001] The invention relates to a method for predicting the nitrogen content of cucumber leaves based on spectral image analysis, and belongs to the field of agricultural technology. Background technique [0002] Nitrogen is mainly to promote the individual growth of plant roots, stems, and leaves. It is the primary nutrient element to form a certain quality product, and has a great impact on the formation and quality of crop yield. Nitrogen deficiency will cause the chlorophyll content to decrease, making the leaves turn green and light yellow in severe cases. The chlorotic leaves are uniform in color, and generally do not appear spots or mottled. The leaves are thin and straight, and the angle with the stem is small, and the green of the stem will fade due to nitrogen deficiency. Since nitrogen is highly mobile in plants and can be transferred from old leaves to young leaves, nitrogen deficiency symptoms start from old leaves and gradually extend to upper...

Claims

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Application Information

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IPC IPC(8): G01N21/27
Inventor 杨玮田真周增产李秀刚卜云龙吴建红
Owner BEIJING KINGPENG INT HI TECH CORP
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