Method and device for detecting degree of plant saline-alkali stress

Abstract

The embodiments of the present invention provide a method and device for detecting the degree of saline-alkali stress in plants. The method includes: acquiring near-infrared spectrum data of the plant to be detected; performing feature extraction on multiple characteristic wavelengths in the near-infrared spectrum data to obtain each characteristic data of each characteristic wavelength; input the characteristic data of each characteristic wavelength into a preset radial basis neural network model, and determine the degree of saline-alkali stress of the plant to be detected according to the output result of the radial basis neural network model ; Wherein, the radial basis neural network model is obtained after training based on the near-infrared spectrum data samples labeled as the known degree of saline-alkali stress. Compared with the current method, this method does not require excessive measuring equipment, and only needs to obtain near-infrared spectral data, so that the canopy leaves will not be damaged. At the same time, through the trained neural network, the degree of saline-alkali stress can be detected simply, efficiently and accurately.

Description

Method and device for detecting the degree of saline-alkali stress in plants technical field The present invention relates to plant growth environment detection field, relate in particular to a kind of plant salinity stress degree detection method and device. Background technique The miscellaneous grains in crops have a key position in the sustainable development of agriculture in the future. Industry development has important guiding significance. Saline-alkali stress is a common environmental stress, with the continuous increase of salinity in recent years. The problem of salinization has become one of the main reasons for the reduction of crop yield. At present, there has been a large number of relevant studies for the problem of saline-alkali stress, including using the variation of rice genotype grain quality. to observe saline-alkali stress; to study avenant saline-alkali stress through the action of rhizosphere microorganisms; The amount of biomass and en...

AI Technical Summary

Problems solved by technology

[0004] However, the traditional research on the salinity-alkali stress of crops is mainly through a large number of chemical methods, there are many instruments and equipment, the methods are more complicated, and the chemical reagents damage the canopy leaves, etc., so it is still not easy and fast to detect the saline-alkali stress

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