Device for fast detection of chlorophyll content in leaf blades, modeling method and detection method

Abstract

The invention discloses a device for fast detection of chlorophyll content in leaf blades, a modeling method and a detection method. The device comprises a CCD camera, a hyperspectral scanner, an object stage, an electric control translation stage, a motion controller, a computer and a light source supply system with a feedback controller, wherein the CCD camera is connected with the hyperspectral scanner and used for collecting a spectral image of a crop loaded on the object stage scanned by the hyperspectral scanner; the computer is connected with the CCD camera and used for processing the spectral image and obtaining a prediction model for detecting the chlorophyll content; the motion controller is connected with the electric control translation stage, and the object stage is positioned on the electric control translation stage; the motion controller is used for adjusting the position, the translation speed and the translation distance of the electric control translation stage; and the light source supply system is used for providing a light source for the crop loaded on the object stage. The technical scheme of the invention can achieve the purposes of fast and pollution-free detection and has the advantages of high detection accuracy, low cost, simple structure of the detection device and good economic benefits.

Description

technical field [0001] The invention relates to the technical field of non-destructive testing of agricultural products, in particular to a device, a modeling method and a detection method for quickly detecting the chlorophyll content of leaves. Background technique [0002] Wheat is the main crop, widely planted in fields and experimental areas, and is one of the food bases of our country. With the end of my country's shortage economy and China's entry into WTO, my country's agricultural industry, especially the improvement of crop yield and quality, has been paid more and more attention. In order to harvest high-yield and high-quality wheat, it is very important to quickly and accurately obtain information about the nutritional status of crops during growth. Leaf chlorophyll content (Chl.C) is an important indicator that directly reflects the nutritional status of crops. Low chlorophyll content indicates nitrogen deficiency in plants. Corn is one of the most widely distr...

AI Technical Summary

Problems solved by technology

Although these methods are effective, they take a long time for sampling preparation and detection, low efficiency, cumbersome operation, time-consuming and labor-intensive, and are destructive to the sample. They cannot be directly measured in real time during the growth period, and are not suitable for operation in actual production and are not conducive to popularization. application, and needs to be further improved

[0005] Some recent methods use Fourier Transform Infrared Spectroscopy (FTIR) to detect leaf chlorophyll content. Studies have shown that chlorophyll content can be identified by observing the difference in light absorption / reflection of leaves at some specific near-infrared wavelengths, but these methods must be used The leaves can only be carried out after shredding and related treatment, so it is impossible to achieve non-destructive detection of leaves, and there are still insurmountable obstacles to real-time detection in the field and greenhouse

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