Zhejiang University

Yanning Zhang

Yibin Ying

Xiuqin Rao

Yangyang Lin

Xiaomin Zhang

Yitian Wang

Haiyi Jiang

Haitao Yang

Yihang Zhu

A method for extracting Raman characteristic peaks employing improved principal component analysis comprising: using a confocal microscopic Raman-spectroscopic instrument to collect Raman spectroscopic data from surfaces of pork and beef samples; and performing preprocessing on the Raman spectroscopic data, performing principal component analysis, establishing a principal component loading scatter plot, extracting dot characteristics from the principal component loading scatter plot, analyzing same, and performing filtering on the dot characteristics to obtain Raman characteristic peaks. The method for extracting Raman characteristic peaks employing improved principal component analysis is used to extract Raman characteristic peaks from pork and beef samples, and then the Raman characteristic peaks are inputted into a classifier to undergo classification, thereby achieving high accuracy and quick classification.

Method for extracting raman characteristic peaks employing improved principal component analysis

In a grain sampling and imaging device, a grain bin () is located under a sampling body (), a grain feed connector () is fixed to a top of the sampling body (), an observation window () is installed on the sampling body (), a camera () is installed above the observation window (); grains fall to a grain feed connector (), and then into the sampling body (), and then are sieved by multiple passages of the sampling body (), a part of the grains randomly enter the observation window () and photographed by the camera (), and finally all of the grains enter the grain bin () through a discharge outlet () provided at a bottom of the sampling body ().

Grain sampling and imaging device

A method for detecting a field navigation line after ridge sealing of crops includes the following steps. A field crop image is acquired. Image color space transformation, image binaryzation, longitudinal integration, neighborhood setting and region integration calculation are sequentially performed on the field crop image to obtain a crop row image. Detections of an initial middle ridge, a left ridge and a right ridge are performed on the crop row image to obtain center lines of the initial middle ridge, left ridge and right ridge. Center lines of a left (right) crop row are established by using an area 1 between the center lines of the left (right) ridge and the initial middle ridge. A center line model of a middle ridge is established by using an area 0 between the center lines of the left and right crop rows, namely a navigation line of a field operation machine.

Method for detecting field navigation line after ridge sealing of crops

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Zhejiang, China

Yanning Zhang