Grading detection method for rice seed vigor based on laser-induced breakdown spectroscopy

Abstract

The invention discloses a rice seed vigor graded detection method based on laser-induced breakdown spectrum. By scanning and measuring the surface of the rice seed sample to be tested, the laser-induced breakdown spectrum of the sample surface is obtained, and the rice seed laser-induced breakdown spectrum and rice seed are established. A prediction model between seed vigor, input the laser-induced breakdown spectra of all measurement points on the surface of the sample to be tested after denoising processing into the prediction model, and judge the vigor of the rice seeds to be tested. The invention has the advantages of fast speed, high efficiency, low cost, good test reproducibility, online analysis, high accuracy and the like.

Description

technical field [0001] The invention belongs to the technical field of rice seed vigor detection, in particular to a laser-induced breakdown spectrum-based rapid detection method for rice seed vigor classification. Background technique [0002] Rice is one of the most important food crops in China. At present, the sown area of ​​rice in my country accounts for about 1 / 4 of the total area of ​​food crops, but its output accounts for about 1 / 2 of the country's total food production. The fluctuation of rice production will directly affect the food supply and threaten my country's food security. Rice seed vigor is one of the important indicators to measure the quality of seeds, and it is a comprehensive reflection of seed germination rate and growth. High-vigorous rice seeds have obvious growth advantages and production potential, and are of great significance to seed management and agricultural production. However, rice seed vigor is the highest when the seeds are physiologic...

AI Technical Summary

Problems solved by technology

[0003] Traditional rice seed vigor detection methods include: enzyme activity determination, adenosine triphosphate (ATP) content determination, seedling growth measurement, germination speed measurement and hyperspectral imaging technology, etc. Although these detection methods can accurately and intuitively predict seed vigor, there are Disadvantages such as complicated operation, long time-consuming, poor repeatability, etc.

For example, the hyperspectral imaging technology uses the reflection spectrum of the rice seed surface to judge the vigor of the rice seed. This technology has certain defects. Accuracy of Detection Technology

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