Method and system for establishing non-destructive testing model of fruit internal quality
A technology of internal quality and detection model, applied in the direction of transmittance measurement, etc., can solve problems such as poor prediction ability, affecting the detection of fruit internal quality, and low signal-to-noise ratio
Active Publication Date: 2018-12-07
BEIJING RES CENT OF INTELLIGENT EQUIP FOR AGRI
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[0005] In order to overcome the problem in the prior art that when using the full-transmission multi-point spectrum detection technology to detect the internal quality of fruits, there are low-efficiency spectra with small signal-to-noise ratio and poor predictive ability, which affect the detection of the internal quality of fruits, and provide a fruit Method and system for establishing internal quality non-destructive testing model
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[0044] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0045]It should be noted that since most fruits have a multi-layer tissue structure (such as skin, pulp, fruit core, etc.), and have the biological characteristics of a spherical complex heterogeneous system with uneven distribution of internal components, the irradiation on the surface of the fruit is different. After the light at different positions penetrates different distances and biological tissues, the signal intensity of the transmission spectrum at different positions is different, and the information related to the prediction of the content of the analyte carried is also different, and the ability to predict the internal quality is also different. point. Therefo...
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The invention provides a method and a system for establishing a non-destructive testing model of fruit internal quality. The method comprises: collecting a plurality of transmission spectra corresponding to any calibration sample, assigning the transmission spectra to multiple joint intervals corresponding to the calibration sample, building interval correction models corresponding to all the joint intervals according to the calibration sample, selecting a high-efficiency interval correction model from the interval correction models, determining a high-efficiency joint interval, calculating the average spectrum corresponding to each calibration sample in the high-efficiency joint interval, extracting characteristic wavelength from the average spectrum, extracting the spectral variable of each calibration sample corresponding to the characteristic wavelength in the high-efficiency joint interval and building an internal quality detection model of the fruits to be detected according to the spectral variable and quality parameters of all the calibration samples. The method and system improves the detection accuracy of the detection model, and provides a theoretical basis for the research and development of online quality testing equipment for fruit internal quality.
Description
technical field [0001] The invention relates to the technical field of fruit quality detection, and more specifically, to a method and system for establishing a nondestructive detection model of fruit internal quality. Background technique [0002] Quality grading is an important part of postharvest fruit commercialization and an important means to improve product competitiveness and product value. With the development of society and the improvement of consumption ability, consumers not only pay attention to external quality such as size, shape and color, but also pay more attention to internal quality, such as soluble solids and hardness, and fruit quality sorting equipment also starts from a single external quality. Quality inspection is moving towards a comprehensive inspection stage that takes into account both internal and external quality. Most of the traditional internal quality tests of fruits are determined by destructive laboratory chemical methods. This method is...
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IPC IPC(8): G01N21/59
CPCG01N21/59
Inventor 田喜黄文倩李江波
Owner BEIJING RES CENT OF INTELLIGENT EQUIP FOR AGRI