Nondestructive testing method and device for early-stage internal diseases of pears based on acoustic vibration multi-domain spectrum and near-infrared spectrum information fusion

Abstract

The invention discloses a nondestructive testing method and device for early-stage internal diseases of pears based on acoustic vibration multi-domain spectrum and near-infrared spectrum information fusion. The detection method is characterized in that the acoustic vibration multi-domain spectrum and near-infrared transmission spectrum acquisition of early-stage disease pear fruits and healthy fruits is completed; an obtained original data set is subjected to preprocessing and feature extraction to construct an optimal feature set, then a discrimination model fusing acoustic vibration multi-domain spectrum features and transmission spectrum features is established by adopting a machine learning algorithm, and the accurate discrimination of the early-stage internal disease pear fruits is realized. By means of the mode, the method and device can rapidly and accurately detect the pears with early internal diseases, the early discovery of the internal diseases is achieved as much as possible, and the method and device have great significance in improving the commodity rate and market competitiveness of the pears and promoting rapid and healthy development of the pear industry.

Description

Technical field [0001] The invention belongs to the technical field of rapid non-destructive detection of agricultural product quality, and particularly relates to a method and device for non-destructive detection of early internal diseases of pears based on information fusion of acoustic-vibration multi-domain spectrum and near-infrared spectrum. Background technique [0002] China is the world's largest producer of pears and Xinjiang, as one of the main pear-producing areas, produced 1.2309 million tons of fragrant pears and 1.4417 million tons of apples in 2017, which are important fruits for Xinjiang fruit farmers to increase income and earn foreign exchange. Both apples and fragrant pears have different degrees of internal diseases. Red Fuji apples have a mold heart disease rate of 27.78%, and Korla fragrant pears with black heart disease can reach up to 30% during storage. When the lesion volume of the pear is less than 5%, the pulp is intact, does not affect consumption, a...

AI Technical Summary

Problems solved by technology

If the acoustic vibration method is combined with near-infrared spectroscopy, making full use of the strengths of the two detection methods, learning from each other, and realizing the fusion of internal disease and fruit physical and chemical information, a more comprehensive understanding of the development of pear fruit internal diseases will help greatly improve the quality of pear fruit. The detection accuracy of early internal diseases is a new research trend of rapid and non-destructive detection of early internal diseases of pear fruit. This is also a brand new idea, and there is no relevant patent literature

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