Spectral analysis for physical examination of plant seedlings

A spectrum analysis and plant technology, applied in the field of plant seedling chlorophyll detection, can solve the problems of inability to detect samples, exist differences, destroy the original appearance of plants, etc., and achieve the effect of saving time, accurate and fast experimental data, and reducing detection costs.

Active Publication Date: 2016-08-17
HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY
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Problems solved by technology

However, when using near-infrared spectroscopy to detect a plant sample, the sample to be detected needs to be subjected to complex cutting and grinding before observation. This method not only destroys the original appearance of the plant, but also cannot carry out continuous sample detection. , because the components in the plants exposed to the outside are easy to reflect with some substances in the air, so that the detected spectral information is inaccurate and there are differences
Moreover, for infrared spectroscopy, the detection of chlorophyll is not very sensitive, and the detection of chlorophyll cannot be realized quickly and effectively.

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  • Spectral analysis for physical examination of plant seedlings
  • Spectral analysis for physical examination of plant seedlings
  • Spectral analysis for physical examination of plant seedlings

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Embodiment Construction

[0019] Such as figure 1 Shown, spectral analysis of the present invention is used for the physical examination method of plant seedling, utilizes Raman spectral image detection platform, detects the chlorophyll content of plant seedling under the stress of different base solutions:

[0020] a. Select a number of normal healthy plant seeds, put them into a container filled with an organic solution at room temperature for breeding, and analyze them with Raman spectroscopy after 10 to 20 days of cultivation;

[0021] b. According to the Raman spectrometer to obtain the detection spectrum of plant seedlings cultivated under the base solution, analyze the principal components of the full-band data, and select the principal components with a cumulative contribution rate of more than 95% as the input neurons of the neural network;

[0022] c. Modeling is carried out by using a neural network method to obtain the contents of chlorophyll a, chlorophyll b and total chlorophyll of the pl...

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Abstract

The invention discloses a health examination method for plant seedlings by using spectral analysis and relates to a detecting method for chlorophyll of the plant seedings. A Raman spectrum image detecting platform is utilized for detecting the content of chlorophyll under the stresses of different alkali base solutions. The health examination method has the benefits that no chemical reagent is used, the detecting cost is lowered, and pollution to environment can not be caused; Raman spectrum analysis is adopted, complex treatments to samples are not required, the effect of zero-damage identification can be achieved, and experimental data is accurate and quick; by modeling a neural network, influences caused by a large number of different mediums on chlorophyll of the plant seedings can be treated, and the time is saved; experiments can be achieved quickly, accurately, stably and real time, and a great breakthrough is brought to experiment researches to the growth of the plant seedlings.

Description

technical field [0001] The invention relates to a method for detecting chlorophyll of plant seedlings, in particular to a physical examination method for plant seedlings by spectral analysis. technical background [0002] Chlorophyll is one of the most important pigments related to photosynthesis. Photosynthesis is the process of converting light energy into chemical energy by synthesizing some organic compounds. Chlorophyll is present in virtually all photosynthetic organisms, including green plants, prokaryotic blue-green algae (cyanobacteria), and eukaryotic algae. Chlorophyll absorbs energy from light, which is then used to convert carbon dioxide into carbohydrates. Therefore, the amount of chlorophyll indicates the growth state and health of the plant, and the composition of the culture solution is adjusted according to the indicated value. [0003] The growth of plants is a complex physiological, biochemical and material metabolism process. The variation of plant le...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/65
Inventor 蔡立晶赵肖宇尚延义蔡立娟李文勇孟艳君
Owner HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY
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