A plant electrical signal analysis method and system

Abstract

The embodiment of the invention provides an analysis method and system for a plant electrical signal. The method comprises the following steps that: according to the plant electrical signal generatedby plant photoinduction, obtaining the direct current coupling data of a plant photoelectric rhythm signal; dividing the direct current coupling data into positive trend data segments and negative trend data segments; and on the basis of a plant cell kinetic equation, independently carrying out data fitting on each positive trend data segment and each negative trend data segment, and determining atarget parameter value corresponding to each positive trend data segment and a target parameter value corresponding to each negative trend data segment so as to analyze the plant photoelectric rhythmsignal according to the change of the target parameter values. By use of the embodiment of the invention, a method for the segmentation fitting of a single trend curve is adopted to carry out parameter fitting on the plant electrical signal, the parameter obtained by fitting can reflect the subtle change of a plant photoelectric signal, and in addition, a fitting process has a specific plant cellelectrophysiology meaning and also more accurately reflects the physiological status of the plant.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of plant photoelectric signal detection, and more specifically, to a plant electrical signal analysis method and system. Background technique [0002] The electrocardiogram provides a wealth of data on heart-related diseases in medicine, and the corresponding electroencephalogram also plays an important role in current brain science research. However, applications in the field of electrophysiology are by no means limited to animals. In the field of plant electrophysiology, through reliable electrical signal collection methods and stable signal induction methods, a plant photoelectric rhythm map that can reflect the degree of response of plant leaves or other tissues to light has been obtained. However, the plant photoelectric rhythm map is different from the electrocardiogram. The cycle of the plant photoelectric rhythm map is at the minute level, and the recording method is DC-coupled...

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Problems solved by technology

[0003] In the prior art, the analysis of plant electrical signals still adopts the same analysis method as electrocardiogram and electroencephalogram, while ignoring the plant physiological characteristics of plants themselves, which cannot reflect the subtle change information of plant electrical signals, resulting in The analysis results cannot correctly reflect the physiological state of plants, so there is an urgent need for an effective plant electrical signal analysis method to scientifically analyze the physiological state of plants

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