Apple identification system and method based on information fusion technology

Abstract

The invention relates to the technical field of fruit identification, and particularly discloses an apple identification system based on an information fusion technology, and the system specifically comprises a sample elimination module which is used for obtaining the spectrum data and physicochemical value data of each apple, and eliminating abnormal samples; a preprocessing module which is used for preprocessing the spectral data to obtain preprocessed data, and performing characteristic wave band screening on the preprocessed data according to the physicochemical value data to obtain screened data; a model building module which is used for respectively building a variety classification model and a producing area identification model based on the original spectral data, the preprocessed spectral data and the screened spectral data; and a fusion module which is used for fusing the variety classification model and the production place identification model to obtain an apple identity fusion model. According to the method, variety identification and production place identification models are fused for apple identity identification, the identification accuracy is extremely high, physical means are added on the basis of original chemical means, and popularization is facilitated.

Description

technical field [0001] The invention relates to the technical field of fruit identification, in particular to an apple identification system and method based on information fusion technology. Background technique [0002] Apple is the most common fruit with high nutritional value. Although it may not be everyone's favorite fruit, almost no one will hate eating apples, which makes the demand for apples has been very strong; it can be said that apples are in the fruit The status of rice is like the status of wheat and rice in food, which makes most fruit farmers plant some apple trees when planting fruits. [0003] However, in the process of sampling apples, we often need to identify apples. Traditional identification methods mostly rely on physical and chemical data combined with shipping processes to identify apples. This identification method is generally slow and its accuracy is not very high. , especially for some individual apples, it is difficult to obtain their shippi...

AI Technical Summary

Problems solved by technology

[0003] However, in the process of sampling apples, we often need to identify apples. Traditional identification methods mostly rely on physical and chemical data combined with shipping processes to identify apples. This identification method is generally slow and its accuracy is not very high. , especially for some individual apples, it is difficult to obtain their shipping process

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