Tracing detection method, device and equipment for fruit production places and medium

Abstract

The invention discloses a fruit origin traceability detection method, device and equipment and a medium, and the method comprises the steps: detecting the origin of a to-be-detected fruit through employing a prediction model, and obtaining the origin information of the to-be-detected fruit, wherein the establishment process of the prediction model comprises the following steps: acquiring originalspectral data of target fruits of different producing areas and the same type by utilizing a near infrared spectrum analysis technology, and preprocessing the original spectral data to obtain preprocessed spectral data; setting a corresponding production place label for the preprocessed spectral data according to geographic position information in the preprocessed spectral data to obtain reconstructed spectral data; selecting training set data and test set data from the reconstructed spectral data; training the training set data based on a classification algorithm to obtain a training model; and if over-fitting and under-fitting do not exist in the training model, judging the training model as a prediction model. According to the method, the detection cost and the detection time required for tracing detection of the fruit production place can be remarkably reduced.

Description

technical field [0001] The invention relates to the technical field of fruit origin traceability, in particular to a method, device, equipment and medium for traceability detection of fruit origin. Background technique [0002] Geographical indication products usually have better economic benefits than ordinary products of the same type, so the traceability technology of geographical indication products is also applied. Among them, the traceability detection of the origin of fruits, especially fruit products based on geographical indication protection The traceability detection of traceability has become a current research hotspot because of its wide coverage and many links from production to circulation. [0003] At present, in the process of traceability detection of fruit origin, it is usually to use Near Infrared Spectroscopy Technology (NIST) to detect the characteristic components in the fruit to be tested, and at the same time combine the chemometric method to obtain ...

AI Technical Summary

Problems solved by technology

Because of the need to use certain chemical reagents and devices, the cost of building a library using the traditional chemometric method combined with near-infrared spectroscopy is relatively high, and the detection time is also relatively long

In addition, although the characteristic spectral signals of biomolecules in the near-infrared long-wave region (1100nm-2500nm) are relatively obvious, the hardware cost of the corresponding spectrometer is several times or even dozens of times that of the near-infrared short-wave region (780nm-1100nm).

However, the feature recognition of the near-infrared short-wave region spectrum is due to the fact that the information of the fundamental frequency vibration of the chemical bond in the molecule is very weak, and it is far from enough to rely solely on the traditional chemometric analysis.

At present, there is no effective solution to this technical problem

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