Single grain variety identification method and system based on near infrared spectrum and 1D-In-Resnet network

Abstract

The invention discloses a single grain variety identification method and system based on a near infrared spectrum and a 1D-In-Resnet network, belongs to the technical field of crop authenticity identification, and solves the problems of complexity, time consumption and low precision of a single grain variety identification method in the prior art. The method comprises the following steps: acquiring a near infrared spectrum of a single to-be-identified crop grain; performing normalization preprocessing on the near infrared spectrum data; using the near infrared spectrum to train the constructed 1D-In-Resnet network model, and using the near infrared spectrum to train the 1D-In-Resnet network model; and performing variety authenticity identification on the spectrum of the crop single grain needing to be classified through the trained 1D-In-Resnet network model to obtain a variety authenticity prediction result. The method can achieve the quick and accurate discrimination of the authenticity of a plurality of crop varieties at the same time, extracts the features of different scales through a multi-branch convolution layer, and improves the accuracy of the model in recognizing the authenticity of crop grains of a plurality of varieties at the same time.

Description

technical field [0001] The invention belongs to the technical field of crop authenticity identification, and relates to a single-grain variety identification method and system based on near-infrared spectroscopy and 1D-In-Resnet network. Background technique [0002] Rice, wheat and corn are the main food crops in China. Variety greatly affects the quality and yield of seeds and processed products of these crops. At present, there are tens of thousands of rice varieties on the market, as well as a large number of wheat and corn varieties. The phenomenon of shoddy and adulterated fakes occurs from time to time, which brings damage to the quality and safety of seeds produced and processed by relevant seed industry practitioners. At the same time It is also not conducive to the food security of the downstream grain industry and the formation of a good market order based on quality. In order to ensure the quality and safety of seeds and grains and guide the formation of a good...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is how to design a single-grain variety identification method and system based on near-infrared spectroscopy and 1D-In-Resnet network, to solve the problems of complex, time-consuming, and low-precision single-grain variety identification methods in the prior art

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