Fast determining method for grade of machine-pick fresh leaves Eyebrow tea polishing samples based on particle swarm optimization algorithm

Abstract

The present invention discloses a fast determining method for grade of machine-pick fresh leaves Eyebrow tea polishing samples based on the particle swarm optimization algorithm. The method comprises:collecting and classifying samples: scanning to obtain near-infrared spectrum of different grades of eyebrow tea polishing samples; pre-processing the sample spectrum to remove noise information, andthen converting the sample spectrum into pairs of data points; dividing all spectrum data into 20 sub-intervals, respectively establishing a particle swarm optimization algorithm model of each sub-interval data, and screening out best sub-interval data of the modeling; applying a principal component analysis method to extract and to compress optimal spectrum sub-interval information; using a principal component score as an input value, continuously adjusting the number of neurons and a transfer function, and establishing an unsupervised Kohonen structure artificial neural network prediction model; and testing model robustness. The method realizes fast, accurate and objective prediction of the Hubei Eyebrow tea polishing samples, and improves accuracy of predicting the grade of the Hubei eyebrow tea polishing samples and enhances practicability of the model.

Description

technical field [0001] The present invention relates to a method for judging the grade of tea-eyebrow tea color samples, and more specifically to a method for quickly judging the grade of tea-eyebrow tea color samples collected by machine based on a particle swarm optimization algorithm. Background technique [0002] Eyebrow tea is one of the treasures of green tea; Hubei eyebrow tea is a major export tea product in my country, and is deeply loved by foreign customers. There are trade standard samples for its quality. Usually, the refining process of eyebrow tea is as follows: ① Primary green tea ② Re-rolling ③ Sieving ④ Shaking ⑤ Machine inspection ⑥ Refining fan ⑦ Electric picking ⑧ Car color ⑨ Tight door ⑩ Heap evenly, among which car color is the most important part of eyebrow tea refining The key process, the color of the car, is related to the tight knot and straightness of the rope, and the green and frosty color, thus forming the unique quality of eyebrow tea. [00...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method based on the particle swarm optimization algorithm for the defects of strong subjectivity and error-proneness in the current refined eyebrow tea tea processing personnel who usually rely on their own work experience and sensory organs to determine the grade of fresh leaf eyebrow tea car color samples. A rapid determination method for the grade of machine-harvested fresh leaf eyebrow tea color samples

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