A method for detecting moisture content of single corn seeds based on near-infrared hyperspectral

Abstract

The present invention provides a method for detecting the moisture content of single corn seeds based on near-infrared hyperspectral. The steps are: 1) collecting N corn seed samples with different moisture contents in the same batch, and measuring the moisture content data y of the samples i and hyperspectral image data x i ; 2) For hyperspectral image data x i Perform preprocessing to obtain preprocessed spectral image data x′ i ;3) Extract the preprocessed spectral image data x′ i Characteristic spectra of as well as hyperspectral image data x i The texture features are obtained by splicing the extracted feature spectra and texture features to obtain a spectral image fusion matrix P i 4) Divide the sample set into training set and test set, and use the random forest algorithm to build a moisture prediction model; 5) Prediction of the sample to be tested: carry out adaptive weighted prediction of the moisture content of the sample to be tested according to the random forest model. The present invention utilizes near-infrared hyperspectral technology to fuse spectrum and image data to construct a single corn seed moisture content detection model, which is of great significance to the application of corn precision sowing technology.

Description

technical field [0001] The invention relates to the field of corn seed moisture detection, in particular to a near-infrared hyperspectral-based single corn seed moisture content detection method. Background technique [0002] Corn is currently the most widely planted crop with the largest output in my country. It is not only the "king of feed", but also an important industrial raw material. In recent years, with the introduction of "single-seed" corn seeds by American Pioneer Company and the introduction of mechanized single-grain precision corn seeding technology in developed countries such as Europe and the United States, my country's traditional corn sowing model has undergone profound changes. Single-seed precision seeding technology is more conducive to mechanized operation than traditional seeding mode, saving labor, seed, and high yield, but it puts forward higher testing requirements for each seed, and the water requirements for single-seed corn seeds cannot be high....

AI Technical Summary

Problems solved by technology

In 2010, my country issued the national standard GB / T24900-2010 [12] for the determination of corn moisture content by near-infrared method for the determination of corn seed batch moisture, which shows that near-infrared spectroscopy technology has practical application feasibility in the field of corn seed batch moisture detection, but at present There is no method or standard for near-infrared hyperspectral detection of single seed moisture

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