A method for detecting process nodes in the process of soaking and accelerating germination of rice

Abstract

The invention discloses a method for detecting process nodes in the process of rice seed soaking and accelerating germination, including collection of sample materials, seed soaking and accelerating germination experiments, Raman spectrum data measurement of different process nodes, spectrum preprocessing, sample set division, data dimensionality reduction, and models Build and nodal analysis steps. By measuring the changes of Raman spectral data of seeds, the method realizes the non-destructive and rapid detection of three key process nodes of rice soaking, chest breaking and germination.

Description

technical field [0001] The invention belongs to the technical field of rice germination acceleration, and in particular relates to a method for detecting process nodes in the process of soaking rice seeds and accelerating germination. Background technique [0002] Rice is an important food crop in the world, and it is also one of the most important food crops in my country. According to statistics from the National Bureau of Statistics in 2014, the rice planting area accounts for about 26.89% of the food crop planting area, and rice production accounts for about 30% of the total food output. 34.02%, therefore, the safe production of rice is directly related to national food security issues. The production of rice includes three stages of seed soaking and germination acceleration, seedling raising and field planting. To achieve high-quality and high-yield rice, it is key to increase the germination rate of bud seeds and cultivate strong seedlings. [0003] At present, rice so...

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Problems solved by technology

[0007] The invention provides a method for detecting process nodes in the rice seed soaking and accelerating germination process, which uses Raman spectrum information in the rice seed accelerating germination process to realize rapid detection of the three key process nodes of rice soaking completion, breast breaking completion and acceleration germination completion, which solves the problem in the past The use of manual observation methods requires a lot of manpower and material resources, a large workload, and poor consistency of test results.

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