CN101059427A - Method for quickly non-destructive measurement for nitrogen content of tea using multiple spectrum imaging technology - Google Patents
Method for quickly non-destructive measurement for nitrogen content of tea using multiple spectrum imaging technology Download PDFInfo
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- CN101059427A CN101059427A CN 200710069116 CN200710069116A CN101059427A CN 101059427 A CN101059427 A CN 101059427A CN 200710069116 CN200710069116 CN 200710069116 CN 200710069116 A CN200710069116 A CN 200710069116A CN 101059427 A CN101059427 A CN 101059427A
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Abstract
The invention discloses a method for quickly non-damage measuring the nitrogen content of tea tree, via multi-spectrum image technique, comprising that first using a 3CCD multi-spectrum image device to collect the multi-spectrum image information of correct sample, while the nitrogen content of sample (tea tree) is measured by international standard method. The obtained image is processed by silent algorism to improve image quality, and by background separation to obtain the image of object, then obtains the reflective index (character parameter) of object based on a standard reflective plate and a nominal reflective curvature. The invention uses multi-element correct algorism to build the quantitative relationship between the character parameter of tea-tree multi-spectrum image and tea-tree nitrogen content, to build a correct model, and then inputs the character parameter of multi-spectrum image of the sample into the correct model, to be tested and obtain the nitrogen content of the tea tree. The 3CCD multi-spectrum image device via a RS-232 interface is connected with an image receiving plate mounted on a computer. The invention can measure nitrogen content of tea tree quickly, accurately, non-damage and online.
Description
Technical field
The present invention relates to use up the method that learns to do the piecewise analysis material, especially relate to a kind of method of quickly non-destructive measurement for nitrogen content of tea using multiple spectrum imaging technology.
Background technology
Nitrogen Nutrition Diagnosis is the core of tea tree nutrient diagnosis.Nitrogenous fertilizer is a class chemical fertilizer of whole world amount of application maximum, also is simultaneously to be difficult to most accurately quantitative a kind of fertilizer in the fertilization recommendation.Tracing it to its cause, mainly is owing to lack the method for testing that can judge crop nitrogen nutrition situation accurately, rapidly, economically and determine the nitrogenous fertilizer requirement.For a long time, the fertilization recommendation of the nitrogen nutrition of crop diagnosis and nitrogenous fertilizer all is based on the laboratory conventionally test.At present, generally adopt Kjeldahl to measure nitrogen content in the plant, but measure very time-consumingly and complicated, and need blade to exsomatize and pre-service, can not directly during growth of rape, carry out on-line measurement.And other traditional test means also need to expend great amount of manpower and material resources at aspects such as sampling, mensuration, data analyses, and poor in timeliness, and normally destructive the detection are unfavorable for applying.
Summary of the invention
For more scientific and reasonable applying fertilizer, need a kind of harmless, quick, real-time tea tree nitrogen content measuring method to tea tree.The method that the purpose of this invention is to provide a kind of quickly non-destructive measurement for nitrogen content of tea using multiple spectrum imaging technology can be carried out method quick, accurate, nondestructive on-line measurement to the tea tree nitrogen content.
The technical solution used in the present invention is:
At first set up tea tree nitrogen content calibration model, the nitrogen content of unknown sample is measured on the basis of calibration model then; The step of this method is as follows:
One, the foundation of calibration model:
1) collects the tea tree of various kinds, the different age of trees of together individual kind as the calibration set sample, obtain the multispectral image of tea tree canopy by the multispectral video camera of 3CCD, the image that obtains improves picture quality through denoising, obtain the image of research object again through background separation, based on the reflectance value under this spectral wavelength of standard reflecting plate and demarcation reflectivity curve acquisition research object;
2) adopt Kjeldahl to measure the standard nitrogen content of calibration set sample;
3) the polynary correcting algorithm of utilization is set up the quantitative relationship between the standard nitrogen content of characteristic parameter that the reflectance value under the multispectral wavelength of calibration set sample is a multispectral image and calibration set sample, has promptly set up calibration model;
Two, the nitrogen content of forecast sample is measured on the basis of calibration model:
For forecast sample, as long as obtain the multispectral image at corresponding wavelength place with multispectral video camera, send into computing machine through image receiving sheet, improve picture quality through denoise algorithm, obtain the image of research object again through background separation, based on the reflectance value under this spectral wavelength of standard reflecting plate and demarcation reflectivity curve acquisition research object.This reflectance value input calibration model, promptly obtained this nitrogen content through the mensuration of calibration model.
So the present invention just can test that nitrogen content to unknown nitrogen content tea tree carries out fast, harmless, real-time, online mensuration as long as set up calibration model on the basis of representational tea tree sample.
The present invention compares with background technology, and the beneficial effect that has is:
(1) powerful, can realize to the tea tree nitrogen content fast, accurately, non-destructive, online mensuration.
(2) simple in structure, entire measuring device only is made up of a 3CCD multi-spectral imager, an image receiving sheet, computing machine, Vehicular accumulator cell, inverter converter, a scaling board and the open car that mechanical arm is housed.
(3) easy to use, as long as each building block in the measurement mechanism is coupled together as requested, multispectral image to tea tree to be measured obtains, and then the characteristic information input calibration model that extracts can be finished the mensuration of the nitrogen content of tea tree to be measured.
(4) has good economic benefit, traditional measurement means need expend great amount of manpower and material resources at aspects such as sampling, mensuration, data analyses, and effect property is poor, the present invention is because of simple in structure, easy to make, the tea tree nitrogen content be can measure fast and accurately, thereby real-time, Non-Destructive Testing nitrogen nutrition of tea plant level realized.
Description of drawings
Accompanying drawing is the theory diagram of the method for quickly non-destructive measurement for nitrogen content of tea using multiple spectrum imaging technology.
Embodiment
Native system is made up of 3CCD multi-optical spectrum imaging system, computing machine, image receiving sheet, scaling board, open car, mechanical arm and power supply.Installed in an open car and the 3CCD multi-spectral imager can be stretched over the mechanical arm of overlooking the field crops position, its longest spread length distance is 3.5 meters, and maximum terrain clearance is 3.5 meters.Be equipped with Vehicular accumulator cell and inverter converter on the car, can provide 220V alternating current for 3CCD multi-spectral imager and computing machine.Multi-spectral imager will be taken in light source after filtration, be separated into green (550nm) in real time, and red (650nm), the monochrome image of three waveband channels of near infrared (800nm) is transferred to computing machine to image by the Data Receiving plate.
Principle of work of the present invention is as shown in drawings:
1) the 3CCD multispectral image of acquisition tealeaves and scaling board.Select various kinds, set up the calibration set sample with the tea tree of the different age of trees of a kind, gather the multispectral image information of canopy multi-spectra image and the scaling board of tea tree with the 3CCD multi-spectral imager, multi-spectral imager will be taken in light source after filtration, be separated into green (550nm) in real time, red (650nm), the monochrome image of three waveband channels of near infrared (800nm) is delivered to image receiving sheet by RS-232 interface then, in via image receiving sheet input computing machine.
2) image that obtains is eliminated the influence of background soil and external condition through denoising and Flame Image Process and is comprised that solar light irradiation Strength Changes, wind, system such as move at the error that causes, and obtain high-quality image information.Again through foreign material such as the earth among the background separation removal figure, branches, obtain the image of research object (tea tree canopy), canopy blade and scaling board average gray separately in the calculating chart, because the reflectance value of scaling board is known, so can set up the reflectivity calibration curve based on the average gray of scaling board, the average gray value of tealeaves canopy is brought into the reflectivity calibration curve, can calculate the average reflectance of tealeaves canopy.
3) adopt Kjeldahl to measure the standard nitrogen content of calibration set sample; The calibration set sample just is used to Kjeldahl and measures calibration set sample standard nitrogen content through after the image acquisition step.
4) for the calibration set sample, the standard nitrogen content of measuring based on known canopy reflectance spectrum and Kjeldahl uses polynary correction regression algorithm (partial least squares regression, polynary linear recurrence, neural network, support vector machine etc.) to set up calibration model.The independent variable that reflectance value under the multispectral wavelength of calibration set sample returns as polynary correction, the standard nitrogen content of calibration set sample are sought the quantitative relationship between independent variable and the dependent variable as dependent variable, have promptly set up calibration model;
Two, the nitrogen content to sample to be tested is measured on the basis of calibration model:
For sample to be tested, as long as obtain the multispectral image of sample to be tested and scaling board with multispectral video camera, send into computing machine through image receiving sheet, improve picture quality through denoise algorithm, obtain the image of research object (tea tree canopy) again through background separation, based on the canopy average reflectance value of scaling board and demarcation reflectivity curve acquisition forecast sample.This reflectance value input calibration model, promptly obtained the nitrogen content of forecast sample through the mensuration of calibration model.
Claims (1)
1, a kind of method of quickly non-destructive measurement for nitrogen content of tea using multiple spectrum imaging technology is characterized in that at first setting up tea tree nitrogen content calibration model, and the nitrogen content of sample to be tested is measured on the basis of calibration model then; The step of this method is as follows:
One, the foundation of calibration model:
1) select the tea tree of various kinds, the different age of trees of together individual kind as the calibration set sample, obtain the multispectral image of tea tree canopy by the multispectral video camera of 3CCD, the image that obtains improves picture quality through denoising, obtain the image of research object again through background separation, based on the reflectance value under this spectral wavelength of standard reflecting plate and demarcation reflectivity curve acquisition research object;
2) adopt Kjeldahl to measure the standard nitrogen content of calibration set sample;
3) the polynary correcting algorithm of utilization is set up the quantitative relationship between the standard nitrogen content of characteristic parameter that the reflectance value under the multispectral wavelength of calibration set sample is a multispectral image and calibration set sample, has promptly set up calibration model;
Two, the nitrogen content to sample to be tested is measured on the basis of calibration model:
For forecast sample, as long as obtain the multispectral image at corresponding wavelength place with multispectral video camera, send into computing machine through image receiving sheet, improve picture quality through denoise algorithm, obtain the image of research object again through background separation, based on the reflectance value under this spectral wavelength of standard reflecting plate and demarcation reflectivity curve acquisition research object.This reflectance value input calibration model, promptly obtained the nitrogen content of this sample through the mensuration of calibration model.
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| CN102749290A (en) * | 2012-07-02 | 2012-10-24 | 浙江大学 | Method for detecting growth state of branches of crown canopy of cherry tree |
| CN103558167A (en) * | 2013-10-31 | 2014-02-05 | 华南理工大学 | Method for rapidly measuring content of sodium chloride in salted meat |
| CN106404678A (en) * | 2016-09-06 | 2017-02-15 | 合肥工业大学 | Rapid detection method of illegal additives in tomato sauce based on multispectral imaging technology |
| CN107219226A (en) * | 2017-07-24 | 2017-09-29 | 中国科学院遥感与数字地球研究所 | Image collecting device and enhancing vegetation index monitoring system |
| CN107532997A (en) * | 2015-05-12 | 2018-01-02 | 柯尼卡美能达株式会社 | Plant growth index determining devices and methods therefor and plant growth index determining system |
| CN108982386A (en) * | 2018-07-31 | 2018-12-11 | 中国林业科学研究院资源信息研究所 | A kind of multispectral image of santal blade all iron content determines method and system |
| CN110346305A (en) * | 2019-07-17 | 2019-10-18 | 浙江大学 | A kind of method and apparatus measuring plant leaf blade nitrogen content |
| CN112903600A (en) * | 2021-01-15 | 2021-06-04 | 南京农业大学 | Rice nitrogen fertilizer recommendation method based on multispectral image of fixed-wing unmanned aerial vehicle |
| CN114140695A (en) * | 2021-12-17 | 2022-03-04 | 青岛农业大学 | Unmanned aerial vehicle multispectral remote sensing-based prediction method and system for diagnosing nitrogen of tea trees and measuring quality indexes |
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2007
- 2007-05-29 CN CN 200710069116 patent/CN101059427A/en active Pending
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| CN102749290A (en) * | 2012-07-02 | 2012-10-24 | 浙江大学 | Method for detecting growth state of branches of crown canopy of cherry tree |
| CN102749290B (en) * | 2012-07-02 | 2014-12-03 | 浙江大学 | Method for detecting growth state of branches of crown canopy of cherry tree |
| CN103558167A (en) * | 2013-10-31 | 2014-02-05 | 华南理工大学 | Method for rapidly measuring content of sodium chloride in salted meat |
| CN103558167B (en) * | 2013-10-31 | 2016-08-17 | 华南理工大学 | A kind of method of sodium chloride content in quick mensuration butcher's meat |
| CN107532997A (en) * | 2015-05-12 | 2018-01-02 | 柯尼卡美能达株式会社 | Plant growth index determining devices and methods therefor and plant growth index determining system |
| CN107532997B (en) * | 2015-05-12 | 2021-06-18 | 柯尼卡美能达株式会社 | Plant growth index measuring device, method thereof, and plant growth index measuring system |
| CN106404678A (en) * | 2016-09-06 | 2017-02-15 | 合肥工业大学 | Rapid detection method of illegal additives in tomato sauce based on multispectral imaging technology |
| CN107219226A (en) * | 2017-07-24 | 2017-09-29 | 中国科学院遥感与数字地球研究所 | Image collecting device and enhancing vegetation index monitoring system |
| CN108982386A (en) * | 2018-07-31 | 2018-12-11 | 中国林业科学研究院资源信息研究所 | A kind of multispectral image of santal blade all iron content determines method and system |
| CN110346305A (en) * | 2019-07-17 | 2019-10-18 | 浙江大学 | A kind of method and apparatus measuring plant leaf blade nitrogen content |
| CN112903600A (en) * | 2021-01-15 | 2021-06-04 | 南京农业大学 | Rice nitrogen fertilizer recommendation method based on multispectral image of fixed-wing unmanned aerial vehicle |
| CN114140695A (en) * | 2021-12-17 | 2022-03-04 | 青岛农业大学 | Unmanned aerial vehicle multispectral remote sensing-based prediction method and system for diagnosing nitrogen of tea trees and measuring quality indexes |
| CN114140695B (en) * | 2021-12-17 | 2024-04-26 | 青岛农业大学 | Prediction method and system for tea tree nitrogen diagnosis and quality index determination based on unmanned aerial vehicle multispectral remote sensing |
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