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Method for rapidly identifying potato germination characteristics based on near infrared spectroscopy

A near-infrared spectrum and potato technology, which is applied in the direction of material analysis, measuring devices, and instruments through optical means, can solve the problems of difficult detection of potato germination characteristics, achieve the effect of reducing construction costs and improving detection efficiency

Inactive Publication Date: 2018-07-31
CHINESE ACAD OF AGRI MECHANIZATION SCI
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  • Abstract
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Problems solved by technology

[0005] For this reason, the technical problem to be solved by the present invention is to provide a method for quickly identifying potato germination characteristics based on near-infrared spectroscopy, so as to solve the problem that potato germination characteristics are difficult to detect in the prior art

Method used

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  • Method for rapidly identifying potato germination characteristics based on near infrared spectroscopy
  • Method for rapidly identifying potato germination characteristics based on near infrared spectroscopy
  • Method for rapidly identifying potato germination characteristics based on near infrared spectroscopy

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Embodiment 1

[0028] In this example, near-infrared spectroscopy is used to quickly identify the germination characteristics of potato samples. Since potatoes will undergo certain physiological changes during the germination process, these changes will be significantly reflected in the near-infrared region. The specific operation methods include the following step:

[0029] (1) Sample collection

[0030] A total of 204 potato research samples were selected in this embodiment, 102 of which were healthy potatoes, and 102 were germinated potatoes. The healthy potato sample and the germinated potato sample are randomly divided into a calibration set and a verification set in a manner of taking one out of three respectively, that is, the healthy potato samples are numbered 1, 2, 3, 5, 6, and 7 in a random order. , 9, 10, 11... are the calibration set, and the settings numbered 4, 8, 12... are the verification set. The same operation method is applicable to germinated potatoes. The obtained cal...

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Abstract

The invention belongs to the technical field of agricultural product quality detection, and particularly relates to a method for rapidly identifying potato germination characteristics based on near infrared spectroscopy. According to the method, the near infrared spectroscopy can be adopted for identifying the potato germination characteristics due to the fact that there are physiological changesafter germination of potatoes and the changes are significantly reflected in a near-infrared region, so that the rapid identification of the potato germination characteristics is achieved. The methodhas the advantages of being rapid, high in efficiency, green, environmentally friendly and the like. The method can effectively reduce the model construction cost and improve the model detection efficiency.

Description

technical field [0001] The invention belongs to the technical field of agricultural product quality detection, and in particular relates to a method for quickly identifying the germination characteristics of potatoes based on near-infrared spectroscopy. Background technique [0002] Potatoes, also known as potatoes, ground eggs, yams, etc., are Solanaceae Solanum, an annual herb plant, 15-80 cm high, glabrous or sparsely pubescent. Potatoes are rich in a variety of nutrients, which can provide carbohydrates, proteins, minerals, vitamins and other nutrients needed by humans. They are known as "underground apples" and "second bread". Potatoes are tubers and can be used as medicine. It is flat in nature and sweet in taste, and can treat diseases such as stomachache, ribs, carbuncle and so on. Potato has high nutritional value, strong adaptability and large yield. It is one of the five staple foods in China and the fourth largest food crop in the world after rice, wheat and cor...

Claims

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Application Information

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IPC IPC(8): G01N21/3563
CPCG01N21/3563
Inventor 兴丽赵庆亮曹有福张小燕韩亚芬李少萍郭亚琳张凡伟王燕妮
Owner CHINESE ACAD OF AGRI MECHANIZATION SCI
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