Seed cotton mulching film online recognition algorithm based on hyperspectral imaging and deep learning

Abstract

The invention discloses a seed cotton mulching film online recognition algorithm based on hyperspectral imaging and deep learning. The algorithm includes: obtaining a reflection spectrum image of theseed cotton mulching film by using a hyperspectral imager; constructing a deep learning network consisting of a stacked weighted auto-encoder and a particle swarm optimization extreme learning machine to carry out online identification on the hyperspectral image. According to the invention, the hyperspectral images of the seed cotton mulching film are classified by using a network formed by the stacked weighted auto-encoder and the extreme learning machine in deep learning, and a weighting mechanism is introduced into each layer of auto-encoder, so that the multi-channel input advantage is ensured, and the noise influence is reduced at the same time; weights and offsets of the extreme learning machine are randomly determined, overfitting is easily generated, the weights and the offsets ofthe extreme learning machine are optimized by utilizing a particle swarm algorithm, and the classification precision is improved while the recognition speed is ensured. A deep learning network formedby the stacked weighted auto-encoder and the extreme learning machine can be used for online identification of the seed cotton mulching film.

Description

technical field [0001] The invention belongs to the technical field of foreign fiber identification of seed cotton, and in particular relates to an online recognition algorithm of seed cotton mulch film based on hyperspectral imaging and deep learning. Background technique [0002] my country is a big country of cotton production and consumption, and cotton processing and weaving play an important role in the national economy. As a major cotton-producing province in my country, Xinjiang has widely used plastic film mulching technology in cotton planting, and cotton picking production is highly mechanized. During the mechanical picking process, seed cotton is mixed with a large amount of plastic film. If it is not cleaned thoroughly, it will follow the processing link. If it enters the lint, it will definitely affect the quality of the textile and the dyeing quality of the textile. At present, the mulch fragments contained in machine-picked cotton have become the fundamental ...

AI Technical Summary

Problems solved by technology

As a major cotton-producing province in my country, Xinjiang has widely used plastic film mulching technology in cotton planting, and cotton picking production is highly mechanized. During the mechanical picking process, seed cotton is mixed with a large amount of plastic film. If it is not cleaned thoroughly, it will follow the processing link. Into the lint, it will definitely affect the quality of the textile and the dyeing quality of the textile

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