CN101949825B - Leaf water near infrared non-destructive testing device and method in light open environment - Google Patents
Leaf water near infrared non-destructive testing device and method in light open environment Download PDFInfo
- Publication number
- CN101949825B CN101949825B CN2010102553557A CN201010255355A CN101949825B CN 101949825 B CN101949825 B CN 101949825B CN 2010102553557 A CN2010102553557 A CN 2010102553557A CN 201010255355 A CN201010255355 A CN 201010255355A CN 101949825 B CN101949825 B CN 101949825B
- Authority
- CN
- China
- Prior art keywords
- light
- spectroscopic data
- signal
- blade
- leaf
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a leaf water near infrared non-destructive testing device in a light open environment, comprising a modulation light source, a testing circuit and calculating and processing equipment, wherein the modulation light source is used for launching alternating current optical signals with modulated light intensity to a leaf according to an alternating current rule, the testing circuit is used for converting the alternating current optical signals permeating through the leaf to spectroscopic data, and the calculating and processing equipment is used for calculating the water concentration of the leaf from the spectroscopic data. The invention also discloses a leaf water near infrared non-destructive testing method in the light open environment, comprising the following steps of sequentially illuminating two lights with preset wavelengths, which are a first light and a second light, onto the surface of the leaf through optical fibers; converting the two lights which transmitting the leaf to first spectroscopic data and second spectroscopic data; calculating the water concentration of the leaf according to the two kinds of spectroscopic data. The device has simple structure, and can carry out testing in the light open environment and eliminate attenuation caused by light absorption and scattering of a leaf background in the process of water testing to enable a measured value of the water concentration to be more accurate.
Description
Technical field
The present invention relates to agrotechnique middle peasant crop water detection technique field, leaf water near infrared the cannot-harm-detection device and method under particularly a kind of smooth open environment.
Background technology
Near-infrared spectral analysis technology be a kind of efficiently, modern analytical technique fast, be used widely in a lot of fields, especially in food and quality of agricultural product detect.Near infrared light is meant the electromagnetic wave of wavelength in 780～2526nm scope, is that people are familiar with non-visible light zone the earliest.Again near infrared light is divided near infrared shortwave (780～1100nm) and long wave (1100～2526nm) two zones traditionally.Modern near-infrared spectrum analysis has been with fastest developing speed, the most noticeable spectral analysis technique since the nineties, is the combination of spectral measurement methods and Chemical Measurement subject.Utilize spectral technique diagnosis leaf water content that its scientific basis is arranged.Each material is all different with reflection to the absorption of electromagnetic wave of different wave length, and this response characteristic to different-waveband spectrum of material is spectral characteristic.The plant spectroscopic diagnostics is to carry out based on the spectral characteristic of plant.The spectroscopic diagnostics principle of plant leaf blade component is that the chemical bond in these chemical composition molecular structures vibrates under the irradiation of certain radiation level in the plant; Cause that the spectral emissions to some wavelength produces difference with absorbing; Thereby produced the different spectrum reflectivity; And the variation of this wavelength spectral reflectivity is to what very responsive (so claim sensitivity spectrum, for example the sensitivity spectrum wave band of moisture are 1400-1600nm) of this chemical composition.The realization of phytochemistry component spectra diagnosis is to be the basis with the reflectivity of phytochemistry component sensitivity spectrum and the correlationship of this component concentration or concentration.
Traditional leaf water content measuring method mainly contains the oven drying method of GB, conductance method, and the stemflow method, and utilize methods such as capacitance type humidity sensor and near-infrared spectrum technique.The measurement of adopting these methods to carry out substance moisture content cuts both ways:
In the prior art; Oven drying method is the assay method of stipulating in the national standard, and its method is: blade is cut from leaf base, behind the weighing fresh weight (initial fresh weight) rapidly with clip insert soak 5 hours in the clear water after; From water, take out, wipe out the blade surface excessive moisture and take by weighing saturated fresh weight.Through 105 ℃, after completing in 30 minutes, dry by the fire constant weight under 65 ℃, weigh (dry weight) and calculate the blade relative water content.This measuring method advantage be measurement result accurately and reliably, but it adopts is that loss measurement is arranged, and wastes time and energy, and can't accomplish real-time monitoring;
In the prior art; Conductance method is to utilize the resistance characteristic of plant to change along with the difference of moisture; Detect the voltage signal of the variation of conductivity conversion through sensor, though this method is Non-Destructive Testing, system design is cumbersome; Measuring accuracy is not high, and stability is bad.
In the prior art; The near-infrared spectrum technique fast detecting is to utilize corresponding spectrometer in certain near infrared spectral range, to measure the reflectance spectrum of plant leaf blade; And utilize optimum statistical method to set up the Quantitative Analysis Model of moisture and reflectance spectrum, predict the moisture of the blade of plant with this.This method has fast, easy characteristics, but measure under the condition that when measuring, needs blade carried out isolated operation or place it in complete light sealing, this all can influence the reliability and the accuracy of measurement data.
In sum, the method (prior art) that used being used at present detects plant leaf blade moisture all is in short-term, diminishes, and is inappropriate for plant is carried out long-term monitoring in real time; When perhaps adopting the nondestructive measurement that round-about way carries out, measurement mechanism design trouble can't reach desired measuring accuracy and accuracy, and stability is not high.Prior art can not provide the further analytical approach and the step of plant leaf blade moisture.Because the predicament when utilizing prior art to detect; Therefore just need set up a kind of new detection method and a kind of harmless long term monitoring device of development; To remedy the deficiency of current detection method; Make and easy to detect, accurate, objective to plant leaf blade moisture can change the production application service into from laboratory study.
Summary of the invention
The technical matters that (one) will solve
The technical matters that the present invention will solve is: how under the light open environment, to measure moisture contained in the plant leaf blade exactly.
(2) technical scheme
Leaf water near infrared the cannot-harm-detection device under a kind of smooth open environment is characterized in that, comprising:
Modulated light source is used for the modulation light to blade emission predetermined wavelength, and by exchanging the light intensity that rule is modulated said modulation light, makes to produce to exchange light signal;
Testing circuit is used to receive the interchange light signal through blade, and will convert spectroscopic data into through the interchange light signal of blade;
Calculating treatmenting equipment is used for calculating from said spectroscopic data the moisture concentration of blade.
Wherein, said testing circuit comprises:
The optical signal detecting unit is used to receive through the interchange light signal of blade and converts thereof into analog electrical signal;
Signal processing unit is used for said analog electrical signal is carried out processing and amplifying, and converts spectroscopic data to;
Central control unit is used to control light source and signal processing unit, and said spectroscopic data is transferred to said calculating treatmenting equipment.
Wherein, said testing circuit also comprises:
Data storage cell is used to store said spectroscopic data and for said central control unit spectroscopic data is provided.
Wherein, said calculating treatmenting equipment comprises:
First computing unit is used for calculating optical density from the incident intensity of said spectroscopic data with respect to the attenuation data of transmitted light intensity;
Second computing unit is used to set up the linear relationship of optical density and leaf water concentration;
The water content detection unit is used for calculating leaf water concentration according to linear relationship.
Wherein, said optical signal detecting unit is an optical sensor spare.
Wherein, said signal processing unit is signal amplification circuit and D/A converting circuit.
Leaf water near infrared lossless detection method under a kind of smooth open environment may further comprise the steps:
S1: with the light of two kinds of predetermined wavelengths, first light and second light are successively through fiber-optic illuminated to blade surface, and said first light is by the interchange light signal that exchanges after rule is modulated light intensity with second light;
S2: two kinds of light transmission being crossed blade convert first spectroscopic data and second spectroscopic data into;
S3: the moisture concentration that calculates blade according to two kinds of spectroscopic datas.
Wherein, the light of said predetermined wavelength is the light of 830nm and 970nm wavelength.
Wherein, said step S2 specifically comprises:
S21: will convert first analog electrical signal and second simulating signal to through first light and second light of blade;
S22: said first analog electrical signal is become first spectroscopic data and second spectroscopic data with second analog signal conversion.
Wherein, said step S3 specifically comprises:
S31: the incident intensity from two kinds of spectroscopic datas calculates optical density with respect to the attenuation data of transmitted light intensity, and computing formula is following:
OD(λ
1)＝lg(I0
1/I
1)，OD(λ
2)＝lg(I0
2/I
2)
Wherein, OD (λ
1) and OD (λ
2) be the optical density of first light and second light, λ
1And λ
2Be the wavelength of first light and second light, I0
1And I0
2Be respectively the incident intensity of first light and second light, I
1And I
2It is the transmitted light intensity of first light and second light;
S32: set up the linear relationship of OD value and leaf water value, said linear relationship is following:
OD(λ
1)＝ε(λ
1)·C·L
1·DPF
1+G
1(1)，OD(λ
2)＝ε(λ
2)·C·L
2·DPF
2+G
2(2)
Wherein, ε (λ
1) and ε (λ
2) be extinction coefficient, C is a moisture concentration, L
1And L
2Be light path, DPF
1And DPF
2Be the differential path factor, G
1And G
2Be modifying factor, the decay that expression blade background absorption, scattering cause;
S33: calculate the moisture concentration C of blade, calculation procedure is: deduct formula (2) by formula (1) and obtain the optical density difference:
ΔOD＝|OD(λ
1)-OD(λ
2)| (3)
OD (λ with step S31 calculating
1) and OD (λ
2) value substitution formula (3) calculate the leaf water concentration C, the linear relationship of C and Δ OD is following:
ΔOD＝k·C+b (4)
Wherein, obtain k=| ε (λ after subtracting each other by formula (1) (2)
1) L
1DPF
1-ε (λ
2) L
2DPF
2|, b=|G
1-G
2|.
(3) beneficial effect
Device of the present invention will receive through the optical signal detecting unit and calculate leaf water by calculating treatmenting equipment after converting spectral information to by modulated light source emission and the modulation light (interchange light signal) that sees through blade; Make blade under the light open environment, to carry out, and apparatus structure is simple; When carrying out water content detection, eliminated because the blade background to the absorption of light, the decay that scattering causes, makes that the measured value of moisture is more accurate.
Description of drawings
Fig. 1 is the leaf water near infrared the cannot-harm-detection device structural representation under the light open environment of the embodiment of the invention;
Fig. 2 is the leaf water near infrared lossless detection method process flow diagram under the light open environment of the embodiment of the invention;
Fig. 3 is the experimental result picture that utilizes apparatus and method of the present invention to experimentize and record.
Embodiment
Below in conjunction with accompanying drawing and embodiment, specific embodiments of the invention describes in further detail.Following examples are used to explain the present invention, but are not used for limiting scope of the present invention.
As shown in Figure 1, be the leaf water near infrared the cannot-harm-detection device structural representation under the smooth open environment of the present invention, this device comprises:
Light source 1, to the light of blade emission predetermined wavelength, light is preferably the light of 830nm and 970nm wavelength, and the intensity of light source is modulated, and makes to produce to exchange (changing by sinusoidal rule or cosine rule) light signal, and its frequency is 10Hz.
Testing circuit 2 is used to receive the interchange light signal through blade, and will convert the general data of light through the interchange light signal of blade into, specifically comprises: optical signal detecting unit 21, signal processing unit 22 and central control unit 23.Central control unit 23 connects optical signal detecting unit 21, signal processing unit 22 respectively, and optical signal detecting unit 21 is connected with signal processing unit 22.Optical signal detecting unit 21 receives the interchange light signal that sees through blade and should exchange light signal and converts analog electrical signal to, and optical signal detecting unit 21 is transferred to signal processing unit 22 with this analog electrical signal.Signal processing unit 22 converts said analog electrical signal to spectroscopic data; Because extraneous available light can be regarded a kind of direct current light signal as; Signal processing unit 22 amplifying circuit wherein can filter direct current signal; To get rid of of the interference of extraneous light, therefore, can under the open environment (need not plant is placed magazine) of light, detect testing result.Spectroscopic data comprises: extinction coefficient epsilon, light path L, differential path factor D PF, modifying factor G.Signal processing unit 22 is transferred to central control unit 23 with spectroscopic data.The execution of central control unit 23 major control optical signal detecting unit 21 and signal processing unit 22, and said spectroscopic data is transferred to said calculating treatmenting equipment 3.Wherein, optical signal detecting unit 21 is an optical sensor spare, and signal processing unit 22 is signal amplification circuit and analog to digital conversion circuit.
Testing circuit also comprises storage unit 24, is connected with central control unit 23 with signal processing unit 22.Store said spectroscopic data, central control unit 23 can therefrom extract spectroscopic data.
Calculating treatmenting equipment 3 is used for calculating from the spectroscopic data that central control unit 23 sends the moisture of blade.Specifically comprise: first computing unit 31, second computing unit 32 and water content detection unit 33.The incident intensity of first computing unit 31 from said spectroscopic data calculates optical density with respect to the attenuation data of transmitted light intensity.Second computing unit 32 is set up the linear relationship of optical density and leaf water content.Water content detection unit 33 calculates leaf water content according to linear relationship.
When adopting device shown in Figure 1; Leaf water near infrared lossless detection method flow process under a kind of smooth open environment of the present invention is as shown in Figure 2; For eliminate since the blade background to the absorption of light, the decay that scattering causes; The mode that the light of two kinds of different wave lengths of employing shines blade is calculated the moisture in the blade, specifically comprises step:
Step S201, with the light of two kinds of predetermined wavelengths, first light and second light successively through fiber-optic illuminated to blade surface, are preferably vertical irradiation, and the wavelength of first light and second light is preferably 830nm and 970nm.Wherein, first light is by interchange (pressing sine or the cosine rule changes) light signal that exchanges after rule is modulated light intensity with second light.
Step S202, first light and second light of transmission being crossed blade convert first spectroscopic data and second spectroscopic data respectively into.Specifically comprise; Earlier convert first light and second light to first analog electrical signal and second analog electrical signal respectively through the optical signal detecting unit earlier, convert first analog electrical signal and second analog electrical signal to first spectroscopic data and second spectroscopic data respectively through signal processing unit again.
Step S203 is according to the moisture concentration of first spectroscopic data and second spectroscopic data calculating blade.Specifically comprise:
The first step, the incident intensity from first spectroscopic data and second spectroscopic data calculates the optical density of two kinds of light with respect to the attenuation data of transmitted light intensity, and computing formula is following:
OD(λ
1)＝lg(I0
1/I
1)，OD(λ
2)＝lg(I0
2/I
2)
Wherein, OD (λ
1) and OD (λ
2) be the optical density of first light and second light, λ
1And λ
2Be the wavelength of first light and second light, I0
1And I0
2Be respectively the incident intensity of first light and second light, I
1And I
2It is the transmitted light intensity of first light and second light;
Second goes on foot, and sets up the linear relationship of OD value and leaf water value.Not only there is absorption in the transmission of light in leaf tissue but also has scattering process; The existence of light scattering not only changes the direction of light transmission; But also finally change the actual light ways for education journey that light is experienced in sample tissue; Comprised very strong light scattering background signal in the feasible spectrum that is detected of result, and this background signal is different from the interference that other extraneous factors produce, general being difficult to eliminated through the pretreated method of data.So, only light absorption and scattering described in this case with comparatively ideal Bill's absorption law and deposit system, the analytical model of setting up between sample " OD value " and " the moisture concentration value " obviously is defective.In order accurately to express these " prime informations ", be necessary to consider that to the absorption of tissue and the effect of two aspects of scattering, therefore, this linear relationship is set up according to the Lambert-Beer's law principle of revising, said linear relationship is following:
OD(λ
1)＝ε(λ
1)·C·L
1·DPF
1+G
1(1)，OD(λ
2)＝ε(λ
2)·C·L
2·DPF
2+G
2(2)
Wherein, ε (λ
1) and ε (λ
2) be extinction coefficient, C is a moisture concentration, L
1And L
2Be light path, DPF
1And DPF
2Be the differential path factor, actual average path that the expression photon experiences in leaf tissue and light source are set up in the time of should concerning to the ratio of the distance of testing circuit, this ratio are proofreaied and correct G
1And G
2Be modifying factor, the decay that expression blade background absorption, scattering cause;
The 3rd step, the moisture concentration C of calculating blade, calculation procedure is: deduct formula (2) by formula (1) and obtain the optical density difference:
ΔOD＝|OD(λ
1)-OD(λ
2)| (3)
OD (λ with first step calculating
1) and OD (λ
2) value substitution formula (3) in calculate the leaf water concentration C.The linear relationship of C and Δ OD can be represented with following expression formula:
ΔOD＝k·C+b，(4)
Wherein, can obtain k=| ε (λ after subtracting each other by formula (1) (2)
1) L
1DPF
1-ε (λ
2) L
2DPF
2|, b=|G
1-G
2|, because the test error b of device generally can not be 0, and coefficient k is relevant with floristics with b, can be known by formula (3) (4), uses device of the present invention to measure optical density OD (λ
1) and OD (λ
2) just can calculate the moisture concentration of plant leaf blade.
With the rape leave is experiment material, utilizes apparatus and method of the present invention, and the light of employing 830nm and 970nm detects the moisture concentration of rape leave, and its linear model is as shown in Figure 3, and horizontal ordinate refers to relative moisture concentration, and ordinate is exactly the optical density difference; According to the data (the blade sample moisture concentration that blade sample light density difference and traditional approach record) of actual measurement, the discrete point as among the figure goes out linear relationship according to discrete point through least square fitting, can calculate k=1.909, b=1.222, coefficient R
2=0.710.
Wherein n is a sample size, x
i, y
iBe respectively the numerical value of any point X (moisture concentration relatively), Y (optical density difference),
Be respectively the average of all sample point X, Y value, through x
i, y
iCan record the value of k and b.
After setting up this linear model, only need to measure OD value, and utilize above-mentioned linear model to calculate the moisture of blade based on the difference of two kinds of optical density with device of the present invention.
Above embodiment only is used to explain the present invention; And be not limitation of the present invention; The those of ordinary skill in relevant technologies field under the situation that does not break away from the spirit and scope of the present invention, can also be made various variations and modification; Therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (7)
1. the leaf water near infrared the cannot-harm-detection device under the light open environment is characterized in that, comprising:
Modulated light source is used for the modulation light to blade emission predetermined wavelength, and by exchanging the light intensity that rule is modulated said modulation light, makes to produce to exchange light signal;
Testing circuit is used to receive the interchange light signal through blade, and will convert spectroscopic data into through the interchange light signal of blade;
Calculating treatmenting equipment is used for calculating from said spectroscopic data the moisture concentration of blade;
Said testing circuit comprises:
The optical signal detecting unit is used to receive through the interchange light signal of blade and converts thereof into analog electrical signal;
Signal processing unit; Be used for said analog electrical signal is carried out processing and amplifying, and convert spectroscopic data to, said signal processing unit is specially signal amplification circuit and analog to digital conversion circuit; Said signal amplification circuit is used for direct current signal is filtered, to get rid of the interference of extraneous light to testing result;
Central control unit is used to control light source and signal processing unit, and said spectroscopic data is transferred to said calculating treatmenting equipment.
2. the leaf water near infrared the cannot-harm-detection device under the smooth open environment as claimed in claim 1 is characterized in that said testing circuit also comprises:
Data storage cell is used to store said spectroscopic data and for said central control unit spectroscopic data is provided.
3. leaf water near infrared the cannot-harm-detection device under according to claim 1 or claim 2 the light open environment is characterized in that said calculating treatmenting equipment comprises:
First computing unit is used for calculating optical density from the incident intensity of said spectroscopic data with respect to the attenuation data of transmitted light intensity;
Second computing unit is used to set up the linear relationship of optical density and leaf water concentration;
The water content detection unit is used for calculating leaf water concentration according to linear relationship.
4. the leaf water near infrared the cannot-harm-detection device under the smooth open environment as claimed in claim 1 is characterized in that said optical signal detecting unit is an optical sensor spare.
5. the leaf water near infrared lossless detection method under the light open environment is characterized in that, may further comprise the steps:
S1: with the light of two kinds of predetermined wavelengths, first light and second light are successively through fiber-optic illuminated to blade surface, and said first light is by the interchange light signal that exchanges after rule is modulated light intensity with second light;
S2: two kinds of light transmission being crossed blade convert first spectroscopic data and second spectroscopic data into;
S3: the moisture concentration according to two kinds of spectroscopic datas calculating blades specifically comprises step:
S31: the incident intensity from two kinds of spectroscopic datas calculates optical density with respect to the attenuation data of transmitted light intensity, and computing formula is following:
OD(λ
1)＝lg(I0
1/I
1)，OD(λ
2)＝lg(I0
2/I
2)
Wherein, OD (λ
1) and OD (λ
2) be the optical density of first light and second light, λ
1And λ
2Be the wavelength of first light and second light, I0
1And I0
2Be respectively the incident intensity of first light and second light, I
1And I
2It is the transmitted light intensity of first light and second light;
S32: set up the linear relationship of OD value and leaf water value, said linear relationship is following:
OD(λ
1)＝ε(λ
1)·C·L
1·DPF
1+G
1(1)，OD(λ
2)＝ε(λ
2)·C·L
2·DPF
2+G
2 (2)
Wherein, ε (λ
1) and ε (λ
2) be extinction coefficient, C is a moisture concentration, L
1And L
2Be light path, DPF
1And DPF
2Be the differential path factor, G
1And G
2Be modifying factor, the decay that expression blade background absorption, scattering cause;
S33: calculate the moisture concentration C of blade, calculation procedure is: deduct formula (2) by formula (1) and obtain the optical density difference:
ΔOD＝|OD(λ
1)-OD(λ
2)| (3)
OD (λ with step S31 calculating
1) and OD (λ
2) value substitution formula (3) calculate the leaf water concentration C, the linear relationship of C and Δ OD is following:
ΔOD＝k.C+b (4)
Wherein, obtain k=| ε (λ after subtracting each other by formula (1) (2)
1) .L
1DPF
1-ε (λ
1) L
2DPF
2|, b=|G
1-G
2|.
6. the leaf water near infrared lossless detection method under the smooth open environment as claimed in claim 5 is characterized in that the light of said predetermined wavelength is the light of 830nm and 970nm wavelength.
7. the leaf water near infrared lossless detection method under the smooth open environment as claimed in claim 5 is characterized in that said step S2 specifically comprises:
S21: will convert first analog electrical signal and second simulating signal to through first light and second light of blade;
S22: said first analog electrical signal is become first spectroscopic data and second spectroscopic data with second analog signal conversion.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102553557A CN101949825B (en) | 2010-08-17 | 2010-08-17 | Leaf water near infrared non-destructive testing device and method in light open environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102553557A CN101949825B (en) | 2010-08-17 | 2010-08-17 | Leaf water near infrared non-destructive testing device and method in light open environment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101949825A CN101949825A (en) | 2011-01-19 |
| CN101949825B true CN101949825B (en) | 2012-07-18 |
Family
ID=43453400
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010102553557A Expired - Fee Related CN101949825B (en) | 2010-08-17 | 2010-08-17 | Leaf water near infrared non-destructive testing device and method in light open environment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101949825B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2461814C1 (en) * | 2011-01-24 | 2012-09-20 | Общество с ограниченной ответственностью "Центр Инновационных Технологий-НАНО" | METHOD FOR DETERMINING MOISTURE CONTENT IN LEAVES OF PLANTS in vivo |
| CN103063603B (en) * | 2012-12-25 | 2015-04-29 | 浙江工业大学 | Machine-fried Longjing tea moisture content on-line detection device |
| CN104237142B (en) * | 2014-09-29 | 2016-09-14 | 北京卫星环境工程研究所 | Material outgassing is to optical transmittance impact analysis pilot system |
| CN106226465B (en) * | 2016-07-05 | 2018-09-28 | 上海泽泉科技股份有限公司 | A kind of method and device of Accurate Determining double-side photic blade light intensity |
| CN106442252A (en) * | 2016-08-31 | 2017-02-22 | 广东美的制冷设备有限公司 | Method and system for detecting filth blockage in dust filtration mesh for filtering ambient light and household appliances |
| WO2019167467A1 (en) * | 2018-02-27 | 2019-09-06 | パナソニックＩｐマネジメント株式会社 | Moisture amount detection apparatus |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4380169A (en) * | 1981-01-21 | 1983-04-19 | The Curators Of The University Of Missouri | Method and apparatus for measuring moisture tension in leaves of growing plants |
| CN101784882A (en) * | 2007-07-06 | 2010-07-21 | 法国图卢兹第二大学 | Be used for measuring the photoelectron measurement mechanism of plant in its physical environment hydration |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060290933A1 (en) * | 2005-06-27 | 2006-12-28 | Paige Holm | System and method for monitoring plant conditions |
| US8249308B2 (en) * | 2008-09-26 | 2012-08-21 | Robert Lussier | Portable intelligent fluorescence and transmittance imaging spectroscopy system |
-
2010
- 2010-08-17 CN CN2010102553557A patent/CN101949825B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4380169A (en) * | 1981-01-21 | 1983-04-19 | The Curators Of The University Of Missouri | Method and apparatus for measuring moisture tension in leaves of growing plants |
| CN101784882A (en) * | 2007-07-06 | 2010-07-21 | 法国图卢兹第二大学 | Be used for measuring the photoelectron measurement mechanism of plant in its physical environment hydration |
Non-Patent Citations (1)
| Title |
|---|
| 侯瑞 等.基于近红外光谱的活体植物叶片水分检测仪器.《农业工程学报》.2009,第25卷 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101949825A (en) | 2011-01-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101949825B (en) | Leaf water near infrared non-destructive testing device and method in light open environment | |
| CN104596990B (en) | Double channel optical fiber turbidimetry method and sensor | |
| CN101706307B (en) | Transmission spectra based method and device for detecting oil product interfaces in oil pipelines | |
| CN101509872B (en) | Coal quality on-line detecting analytical method based on regression analysis | |
| CN102213682B (en) | Method for measuring transmission of interference-insensitive terahertz wave | |
| CN203275288U (en) | Online automatic water quality multiple parameter monitor gathering spectrum and sensor technologies | |
| CN101424636A (en) | A kind of device and method of rapidly and nondestructively detecting content of green tea composition | |
| CN102272588A (en) | An apparatus and process for measuring properties | |
| CN101975759A (en) | Transmission-type nondestructive measuring device and method of water content of plant leaves | |
| CN105548128A (en) | Method and device for detecting chlorophyll of coastal zone water body in situ through double optical path method | |
| CN102636450A (en) | Method for detecting wolfberry polyose content in Chinese wolfberry in a nondestructive way based on near infrared spectrum technology | |
| CN102928390A (en) | On-line detection method and device for chlorophyll concentration in water body based on two detectors | |
| CN102507507B (en) | Device and method for detecting concentration of gas to be detected through temperature correction | |
| CN104406921A (en) | Optical detection system and optical detection method | |
| CN100590416C (en) | Double-light path photoelectric detector and method for detecting light decrement thereof | |
| CN104122231B (en) | On-line self-calibration water quality turbidity detection system | |
| CN103558177B (en) | Raw meat organizes moisture near-infrared detection apparatus and detection method | |
| CN103364360A (en) | Moisture meter | |
| CN102253010A (en) | Device and method for rapidly detecting swill-cooked dirty oil | |
| CN101858862B (en) | Method and system for quickly detecting thioglycoside content of rape seeds | |
| CN104833657A (en) | Laser wireless sand meter having side-direction compensation | |
| CN207439928U (en) | Indoor formaldehyde gas detection device | |
| CN110567899B (en) | Low-temperature compensation method for COD detection | |
| CN108489547B (en) | Raindrop parameter testing device | |
| CN201772994U (en) | Vertical incidence film reflectivity meter with the characteristics of symmetry and self calibration |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120718 Termination date: 20130817 |