Method and device for automatically sorting tobacco leaves based on neural network

Abstract

The invention provides a method and device for automatically sorting tobacco leaves based on a neural network. The method comprises the following steps of collecting natural light pictures of trainingtobacco leaves, and analyzing the natural light pictures according to the preset tobacco leaves characteristic dimension information to obtain natural characteristic information data of the trainingtobacco leaves; performing spectral analysis on the training tobacco leaves to obtain spectral characteristic information data of the training tobacco leaves; corresponding to natural characteristic information data and spectral characteristic information data of the training tobacco leaves, and performing neural network training to obtain a correlation model of natural characteristics and spectral characteristics of the tobacco leaves; establishing the spectral tobacco leaves grading strategy of the tobacco leaves according to the spectral characteristic information data, and obtaining natural grading strategy of the tobacco leaves based on the correlation model; acquiring natural images of the tobacco leaves to be sorted, analyzing to obtain the natural characteristic information data ofthe tobacco leaves to be sorted, comparing the natural characteristic information data with the natural grading strategy to obtain the sorting grade of the tobacco leaves to be sorted, and sorting the tobacco leaves to be sorted according to the sorting grade. According to the method and device, intelligent, efficient, standardized and low-cost tobacco leaves sorting is realized.

Description

technical field [0001] The present application relates to the technical field of automatic control, in particular to a method and device for automatically sorting tobacco leaves based on a neural network. Background technique [0002] Tobacco leaf is a raw material for the tobacco industry and is an important economic crop. The planting area in my country is also very wide, and it occupies an important position in my country's agricultural production. The quality and production process of tobacco leaves will directly affect the quality of tobacco products made from tobacco leaves. In the process of planting tobacco leaves, due to the influence of different regional climates, environments, soils, tobacco leaf varieties, growing parts, planting methods, and baking and preservation processes, the quality of tobacco leaf raw materials varies greatly. [0003] Therefore, it is necessary to grade tobacco leaves of different qualities, and produce tobacco leaf products of differen...

AI Technical Summary

Problems solved by technology

[0006] The purpose of this application is to provide a method and device for automatically sorting tobacco leaves based on a neural network to solve the technical problems of non-standardized tobacco leaf sorting, poor sorting quality, low sorting efficiency, and high cost in the prior art

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