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Plant canopy leaf chlorophyll content rapid determination model, determination method and application

A technology for rapid determination of chlorophyll content, which is applied in the fields of testing plants/trees, measuring devices, character and pattern recognition, etc. It can solve the problems of measurement errors and inability to fully obtain leaf spectral data, so as to improve representativeness and achieve rapid data acquisition. , the effect of avoiding the use of chemical reagents

Pending Publication Date: 2020-04-10
陕西地建土地工程技术研究院有限责任公司
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AI Technical Summary

Problems solved by technology

If the spectrum in the visible light range is simply detected, the leaf spectral data cannot be fully obtained, so that measurement errors will occur

Method used

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  • Plant canopy leaf chlorophyll content rapid determination model, determination method and application
  • Plant canopy leaf chlorophyll content rapid determination model, determination method and application
  • Plant canopy leaf chlorophyll content rapid determination model, determination method and application

Examples

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Embodiment 1

[0042] A method for quickly measuring chlorophyll content in plant canopy leaves, comprising the following steps:

[0043] Step 1, formulate a sampling plan, collect spectral data, and measure chlorophyll content

[0044] A total of 12 test areas were selected for this experiment. Ten undamaged complete rape canopy leaves were randomly selected in each test area as the test object leaves; the ten test target leaves were located in the canopy of ten different rapeseed plants, and their height positions and horizontal positions were different, so that It is used to reflect the canopy leaf information at different heights and horizontal positions; 12 test areas have a total of 120 test object leaves. It should be noted that the boundary effect should be eliminated during sampling, that is, the rape plants at the border of the test area and the border leaves in the rape plants are not taken as sampling objects.

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Abstract

The invention belongs to the technical field of plant chlorophyll content determination methods, and particularly relates to a plant canopy leaf chlorophyll content rapid determination method. The method comprises the following steps of: formulating a sampling scheme, collecting spectral data and measuring chlorophyll content; preprocessing spectral data; dividing a training set and a verificationset; and constructing a training set model and a verification set model, etc. According to the method, a spectral diagnosis method is innovatively adopted, a prediction model of the plant canopy chlorophyll content is constructed by adopting a machine learning method, rapid data acquisition is realized, and the method can be used for rapidly detecting the chlorophyll content of plant canopy leaves of traditional crops, traditional Chinese medicines and the like.

Description

technical field [0001] The invention belongs to the technical field of measuring methods for plant chlorophyll content, and in particular relates to a rapid measuring model, measuring method and application of plant canopy leaf chlorophyll content. Background technique [0002] The chlorophyll content in plant leaves is an important parameter for understanding plant physiological mechanism and productivity, and is an important indicator for evaluating plant photosynthetic ability, development status and nutritional status. The change of chlorophyll content in different growth stages can reflect the photosynthetic intensity of crops and the growth period of crops. Therefore, the study of estimating chlorophyll content in plant leaves is of great significance for monitoring vegetation growth, estimating crop yield, and preventing pests and diseases. The traditional determination methods of chlorophyll content include atomic absorption spectrometry and spectrophotometer. Both m...

Claims

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Application Information

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IPC IPC(8): G01N21/25G01N21/3563G01N21/359G01N33/00G06K9/46G06K9/62
CPCG01N21/25G01N21/359G01N21/3563G01N33/0098G06V10/56G06F18/214
Inventor 刘金宝程杰张瑞庆陈茜杨亮彦石磊孟婷婷武丹
Owner 陕西地建土地工程技术研究院有限责任公司
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