CN106092913A - A kind of corps nutrient safety detection method and system thereof - Google Patents
A kind of corps nutrient safety detection method and system thereof Download PDFInfo
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- CN106092913A CN106092913A CN201610363926.6A CN201610363926A CN106092913A CN 106092913 A CN106092913 A CN 106092913A CN 201610363926 A CN201610363926 A CN 201610363926A CN 106092913 A CN106092913 A CN 106092913A
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- 235000015097 nutrients Nutrition 0.000 title claims abstract description 69
- 208000031968 Cadaver Diseases 0.000 title claims abstract description 68
- 238000001514 detection method Methods 0.000 title claims abstract description 61
- 230000003595 spectral effect Effects 0.000 claims abstract description 53
- 239000002184 metal Substances 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims description 49
- 230000005540 biological transmission Effects 0.000 claims description 32
- 238000001228 spectrum Methods 0.000 claims description 26
- 238000012937 correction Methods 0.000 claims description 17
- 238000004611 spectroscopical analysis Methods 0.000 claims description 14
- 241000196324 Embryophyta Species 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000005516 engineering process Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 claims description 7
- 238000012417 linear regression Methods 0.000 claims description 6
- 238000001237 Raman spectrum Methods 0.000 claims description 5
- 238000010187 selection method Methods 0.000 claims description 5
- 241000607479 Yersinia pestis Species 0.000 claims description 4
- 235000013339 cereals Nutrition 0.000 claims description 4
- 235000013399 edible fruits Nutrition 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 235000007164 Oryza sativa Nutrition 0.000 claims description 3
- 229920002472 Starch Polymers 0.000 claims description 3
- 150000001413 amino acids Chemical class 0.000 claims description 3
- 239000012491 analyte Substances 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 238000007621 cluster analysis Methods 0.000 claims description 3
- 238000009795 derivation Methods 0.000 claims description 3
- 201000010099 disease Diseases 0.000 claims description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 3
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 230000002068 genetic effect Effects 0.000 claims description 3
- 229910052736 halogen Inorganic materials 0.000 claims description 3
- 150000002367 halogens Chemical class 0.000 claims description 3
- 238000012880 independent component analysis Methods 0.000 claims description 3
- 238000004020 luminiscence type Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 235000009566 rice Nutrition 0.000 claims description 3
- 235000019698 starch Nutrition 0.000 claims description 3
- 239000008107 starch Substances 0.000 claims description 3
- 235000013311 vegetables Nutrition 0.000 claims description 3
- 240000007594 Oryza sativa Species 0.000 claims 1
- 238000013528 artificial neural network Methods 0.000 claims 1
- 238000009313 farming Methods 0.000 claims 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 1
- 238000002372 labelling Methods 0.000 abstract description 10
- 235000016709 nutrition Nutrition 0.000 abstract description 10
- 210000004027 cell Anatomy 0.000 description 10
- 238000000985 reflectance spectrum Methods 0.000 description 6
- 238000007781 pre-processing Methods 0.000 description 4
- 241000209094 Oryza Species 0.000 description 2
- 235000001014 amino acid Nutrition 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 238000002329 infrared spectrum Methods 0.000 description 2
- 229910044991 metal oxide Inorganic materials 0.000 description 2
- 150000004706 metal oxides Chemical class 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 238000012628 principal component regression Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- TVZRAEYQIKYCPH-UHFFFAOYSA-N 3-(trimethylsilyl)propane-1-sulfonic acid Chemical compound C[Si](C)(C)CCCS(O)(=O)=O TVZRAEYQIKYCPH-UHFFFAOYSA-N 0.000 description 1
- 241000238631 Hexapoda Species 0.000 description 1
- 206010039509 Scab Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000004720 fertilization Effects 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3581—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using far infrared light; using Terahertz radiation
- G01N21/3586—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using far infrared light; using Terahertz radiation by Terahertz time domain spectroscopy [THz-TDS]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
Abstract
The invention discloses a kind of corps nutrient safety detection method and detecting system thereof, including information acquisition device, mobile phone A PP, cloud server.Use the scanning port of information acquisition device, read the spectral characteristic of crops, carry out data exchange with cloud server, by information such as the nutritional labeling of mobile phone A PP quick obtaining crops, persticide residue, content of beary metal.
Description
Technical field
The present invention relates to a kind of corps nutrient safety detection method and system thereof.
Background technology
Information technology is the guide of revolution of agricultural, Agricultural informatics for accelerating the transformation of China traditional agriculture,
Improve agriculture production benefit and the quality of agricultural product, improve agricultural management and business decision level, promote Sustainable Agricultural, stablize and send out
Exhibition, has great importance, has huge application space and vast potential for future development.
Since last century the eighties, China has carried out system engineering, data base and information management system, remote sensing, specially
The technology such as family system, DSS, GIS-Geographic Information System are applied to the research in terms of agricultural, resource and environment, achieve
A collection of important achievement.In agri-scientific research, management and department of basic unit, have accumulated the hugest data, example and knowledge
Experience, have accumulated the mass data moneys such as the growth of cereal crop seedlings, soil feelings, fertile feelings, regimen, insect pest situation, meteorology and the disaster relevant to various crops
These data information messages are stored in Computer Database by material, use computer program to carry out the multiple data in agricultural
Process, realize instructing Peasants in Scientific to till the land by computer program concrete operation step.
In the collection of these data informations, or manifold is unusually acquired.And China territory is vast, farmland is believed
Ceasing complicated and changeable, the collection to data occurs in that delayed, judges with delayed data, a lot of erroneous judgement often occurs.Additionally, it is right
The data acquisition of crops, often uses and damages collection or micro-damage collection.It is to say, crops are destroyed, such as
Leaf rub broken after carry out chemical solution extraction etc. and process, then measure the parameter such as pol of crops.
In sum, traditional sampling, sample preparation and lab analysis means have infringement to crops, and in economy
Property and real-time aspect there is also shortcoming, bring inconvenience and trouble, real the most to be improved.
Summary of the invention
The present invention is the newest fruits of integrated application message technology, at invention crop growth status monitoring and nutrient fertilization
Side's generating means, provides technique device and scientific method for green agriculture, industrialized agriculture and accurate agricultural.
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, cloud server, uses
The scanning port of information acquisition device, reads the spectral characteristic of crops；Information acquisition device comprises data transmission module, passes through data
Transport module and cloud server carry out crops data exchange, and obtain the information of crops.
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, data relay device, cloud
End server, uses the scanning port of information acquisition device, reads the spectral characteristic of crops；By data relay device and high in the clouds
Server carries out crops data exchange, and obtains the information of crops.
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device, uses the scanning port of information acquisition device, reads the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information of crops.
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device, uses the scanning port of information acquisition device, reads the spectral characteristic of crops, carries out data exchange with cloud server, logical
Cross mobile phone APP and obtain the information of crops.
Preferably, in above-mentioned corps nutrient safety detection method, the person's handheld information collection that also includes proportion of crop planting
Device, in the spectral characteristic of crops acquired in plantation.
Preferably, in above-mentioned corps nutrient safety detection method, also include crops buyer's handheld information collection
Device, obtains the spectral characteristic of crops in purchase venue.
Preferably, in above-mentioned corps nutrient safety detection method, the described cloud server crops to receiving
Spectroscopic data, compares with spectral model data, feeds back comparison result.
Preferably, in above-mentioned corps nutrient safety detection method, the described cloud server crops to receiving
Spectroscopic data, compares with spectral model data, feeds back comparison result, and feedback solutions simultaneously.
Preferably, in above-mentioned corps nutrient safety detection method, described mobile phone A PP selects not for different crops
Same spectral method of detection.
Preferably, in above-mentioned corps nutrient safety detection method, described cloud server sets up spectral model data
Storehouse contrasts.
Preferably, in above-mentioned corps nutrient safety detection method, the scanning port of described information acquisition device uses near
Crops are used for quickly detecting by infrared, Terahertz, Raman spectrum.
Preferably, in above-mentioned corps nutrient safety detection method, the spectral collector of described information acquisition device includes
The spectra collection patterns such as transmission, reflection, diffuse-reflectance and transflector.
Preferably, in above-mentioned corps nutrient safety detection method, the spectral collector of described information acquisition device includes
Photo-sensitive cell, this element can share the photo-sensitive cell that mobile phone camera carries, or can integrated special CCD (charge coupled cell)
Or CMOS (complementary metal oxide semiconductors (CMOS)) is as photo-sensitive cell, and it is not limited to above two photo-sensitive cell.
Preferably, in above-mentioned corps nutrient safety detection method, the scanning port light source cloth of described information acquisition device
The form of putting is single light source or multiple light courcess, in light source employing Halogen light, light emitting diode (LED) and three kinds of luminescence technologies of laser extremely
Few one, preferably light emitting diode.
Preferably, in above-mentioned corps nutrient safety detection method, the scanning port of described information acquisition device is mobile phone
Building block, be installed on mobile phone surface or interior of mobile phone.
Preferably, in above-mentioned corps nutrient safety detection method, the scanning port of described information acquisition device includes point
Light device, can reflect the parallel incoming rays of different wave length with different angles, to realize the separation of different wave length, and described light splitting
Device can be holographic grating or other there is the optical element of identity function.
Preferably, in above-mentioned corps nutrient safety detection method, described mobile phone A PP directly converts the spectrum obtained
For transmitting digital information, by the digital information of 0 and 1 composition, quickly realize data message metering, transmit, exchange, comparison,
Display and storage.
Preferably, in above-mentioned corps nutrient safety detection method, the number between described information acquisition device and mobile phone A PP
It is bluetooth or infrared or WIFI wireless mode according to transmission mode；Transmission mode between described mobile phone A PP and cloud database is
WIFI wireless mode；Transmission mode between described information acquisition device and cloud database is WIFI wireless mode.
Preferably, in above-mentioned corps nutrient safety detection method, described cloud server includes data operation module
And DBM.The major part of cloud server is data base, including spectrum corresponding informance data base, plant shape and be subject to
Power correspondence database, proposed projects database type, be closely connected between each data base, mutually corresponding, it is ensured that requires to analyze
One or more project, have the specimen that correspondence is referred to.Another pith of cloud server is information contrast
Analyze module, after the digital information receiving the transmission of mobile phone A PP, search of automatically this information being compared, find and analyze
Corresponding database information, goes out available solutions by proposed projects database retrieval, feeds back to mobile phone A PP and realizes screen and show.
Preferably, in above-mentioned corps nutrient safety detection method, described data operation module is to gathering spectroscopic data
Carrying out pretreatment, spectroscopic data information preprocessing method includes that Savitzky-Golay is smooth, derivation (Savitzky-Golay mono-
Order derivative, difference first derivative), signal correction (multiplicative scatter correction MSC, standard the most too change of variable SNV, only analyze signal
NAS, Orthogonal Signal Correction Analyze OSC, go trend correct DT, baseline correction), standardization (average centralization, standardization), normalization,
At least one in multiplicative scatter correction, wavelet transformation, Orthogonal Signal Correction Analyze method, net analyte preprocessing etc..
Preferably, in above-mentioned corps nutrient safety detection method, building of the DBM of described cloud server
Cube formula includes effectively modeling band selection method and forecast model method for building up.Wherein, band selection method bag is effectively modeled
Include correlation coefficient process, without information variable method of elimination, interval partial least square, back span partial least square method, forward interval
At least one in partial least square method, moving window partial least square method, genetic algorithm, independent component analysis method etc..In advance
Survey method for establishing model include multiple linear regression, stepwise multiple linear regression, the triangulation network, support vector machine principal component regression,
Cluster analysis, discriminant analysis, partial least square method, the recurrence of kernel function partial least square method, Hybrid linear analysis and artificial neuron
At least one in network etc..The precision evaluating of the optimum prediction model of described forecast model includes but not limited to correction
Collection standard deviation (SEC), validation-cross standard deviation (SECV), checking collection standard deviation (SEP), calibration set correlation coefficient
(Rc), checking collection correlation coefficient (Rp).
Preferably, in above-mentioned corps nutrient safety detection method, described method detection object be fruit, Folium Camelliae sinensis,
The crops such as mixed grain rice, vegetable, the information of its detection includes pol；Acidity；Hardness；Pest and disease damage；Moisture, starch, fat, egg
In vain, aminoacid equal size；Persticide residue；One or more of content of beary metal information.
A kind of corps nutrient safety detecting system, it is characterised in that include information acquisition device, cloud server, uses
The scanning port of information acquisition device, reads the spectral characteristic of crops；Information acquisition device comprises data transmission module, passes through data
Transport module and cloud server carry out crops data exchange, and obtain the information of crops.
A kind of corps nutrient safety detecting system, it is characterised in that include information acquisition device, data relay device, cloud
End server, uses the scanning port of information acquisition device, reads the spectral characteristic of crops；By data relay device and high in the clouds
Server carries out crops data exchange, and obtains the information of crops.
A kind of corps nutrient safety detecting system, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device, uses the scanning port of information acquisition device, reads the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information of crops.
A kind of corps nutrient safety detecting system, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device, uses the scanning port of information acquisition device, reads the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information such as the nutritional labeling of crops, persticide residue, content of beary metal；Mobile phone A PP for
Different crops selects different spectral detection systems.
Preferably, in above-mentioned corps nutrient safety detecting system, the described cloud server crops to receiving
Spectroscopic data, compares with spectral model data, feeds back comparison result.
Preferably, in above-mentioned corps nutrient safety detecting system, the described cloud server crops to receiving
Spectroscopic data, compares with spectral model data, feeds back comparison result, and feedback solutions simultaneously.
Preferably, in above-mentioned corps nutrient safety detecting system, described cloud server sets up spectral model data
Storehouse contrasts.
Preferably, in above-mentioned corps nutrient safety detecting system, the scanning port of described information acquisition device uses near
Crops are used for quickly detecting by infrared, Terahertz, Raman spectrum.
Preferably, in above-mentioned corps nutrient safety detecting system, the spectral collector of described information acquisition device includes
The spectra collection patterns such as transmission, reflection, diffuse-reflectance and transflector.
Preferably, in above-mentioned corps nutrient safety detecting system, the spectral collector of described information acquisition device includes
Photo-sensitive cell, this element can share the photo-sensitive cell that mobile phone camera carries, or can integrated special CCD (charge coupled cell)
Or CMOS (complementary metal oxide semiconductors (CMOS)) is as photo-sensitive cell, and it is not limited to above two photo-sensitive cell.
Preferably, in above-mentioned corps nutrient safety detecting system, the scanning port light source cloth of described information acquisition device
The form of putting is single light source or multiple light courcess, in light source employing Halogen light, light emitting diode (LED) and three kinds of luminescence technologies of laser extremely
Few one, preferably light emitting diode.
Preferably, in above-mentioned corps nutrient safety detecting system, the scanning port of described information acquisition device is mobile phone
Building block, be installed on mobile phone surface or interior of mobile phone.
Preferably, in above-mentioned corps nutrient safety detecting system, the scanning port of described information acquisition device includes point
Light device, can reflect the parallel incoming rays of different wave length with different angles, to realize the separation of different wave length, and described light splitting
Device can be holographic grating or other there is the optical element of identity function.
Preferably, in above-mentioned corps nutrient safety detecting system, described mobile phone A PP directly converts the spectrum obtained
For transmitting digital information, by the digital information of 0 and 1 composition, quickly realize data message metering, transmit, exchange, comparison,
Display and storage.
Preferably, in above-mentioned corps nutrient safety detecting system, the number between described information acquisition device and mobile phone A PP
It is bluetooth or infrared or WIFI wireless mode according to transmission mode；Transmission mode between described mobile phone A PP and cloud database is
WIFI wireless mode；Transmission mode between described information acquisition device and cloud database is WIFI wireless mode.
Preferably, in above-mentioned corps nutrient safety detecting system, described cloud server includes data operation module
And DBM.The major part of cloud server is data base, including spectrum corresponding informance data base, plant shape and be subject to
Power correspondence database, proposed projects database type, be closely connected between each data base, mutually corresponding, it is ensured that requires to analyze
One or more project, have the specimen that correspondence is referred to.Another pith of cloud server is information contrast
Analyze module, after the digital information receiving the transmission of mobile phone A PP, search of automatically this information being compared, find and analyze
Corresponding database information, goes out available solutions by proposed projects database retrieval, feeds back to mobile phone A PP and realizes screen and show.
Preferably, in above-mentioned corps nutrient safety detecting system, described data operation module is to gathering spectroscopic data
Carrying out pretreatment, spectroscopic data information preprocessing method includes that Savitzky-Golay is smooth, derivation (Savitzky-Golay mono-
Order derivative, difference first derivative), signal correction (multiplicative scatter correction MSC, standard the most too change of variable SNV, only analyze signal
NAS, Orthogonal Signal Correction Analyze OSC, go trend correct DT, baseline correction), standardization (average centralization, standardization), normalization,
At least one in multiplicative scatter correction, wavelet transformation, Orthogonal Signal Correction Analyze method, net analyte preprocessing etc..
Preferably, in above-mentioned corps nutrient safety detecting system, building of the DBM of described cloud server
Cube formula includes effectively modeling band selection method and forecast model method for building up.Wherein, band selection method bag is effectively modeled
Include correlation coefficient process, without information variable method of elimination, interval partial least square, back span partial least square method, forward interval
At least one in partial least square method, moving window partial least square method, genetic algorithm, independent component analysis method etc..In advance
Survey method for establishing model include multiple linear regression, stepwise multiple linear regression, the triangulation network, support vector machine principal component regression,
Cluster analysis, discriminant analysis, partial least square method, the recurrence of kernel function partial least square method, Hybrid linear analysis and artificial neuron
At least one in network etc..The precision evaluating of the optimum prediction model of described forecast model includes but not limited to correction
Collection standard deviation (SEC), validation-cross standard deviation (SECV), checking collection standard deviation (SEP), calibration set correlation coefficient
(Rc), checking collection correlation coefficient (Rp).
Preferably, in above-mentioned corps nutrient safety detecting system, described system detection object be fruit, Folium Camelliae sinensis,
The crops such as mixed grain rice, vegetable, the information of its detection includes pol；Acidity；Hardness；Pest and disease damage；Moisture, starch, fat, egg
In vain, aminoacid equal size；Persticide residue；One or more in content of beary metal information.
The beneficial effect that the present invention brings has:
1, use spectrum sensor can obtain the spectral information making crops the most exactly, reach Non-Destructive Testing
Purpose；
2, utilize the common items such as mobile phone can to detect in real time by peasant household, or utilize unmanned plane etc. to detect farmland in real time
And feedback information, it is ensured that the promptness of retrieval information；
3, by specialist system according to adjustment dose and the fertilizer kind in real time such as the spectral information fed back, soil information
Class, it is achieved the purpose precisely topdressed.
Accompanying drawing explanation
Fig. 1 is the module annexation schematic diagram of detecting system of the present invention.
Fig. 2 is the annexation schematic diagram of detecting system cloud server of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is described further.
Embodiment one
A kind of corps nutrient safety detection method, including information acquisition device, mobile phone A PP, cloud server, cloud service
Device includes data operation module and DBM.The major part of cloud server is data base, including spectrum corresponding informance
Data base, plant shape and stress correspondence database, proposed projects database type.Information acquisition device is by sending out to crops
Penetrate near infrared spectrum, and read the reflectance spectrum of crops, by mobile phone standard interface or radio connection, the letter that will gather
Breath transmits to mobile phone A PP, mobile phone A PP process information.Mobile phone A PP is converted into transmission number the spectrum obtained
Word information, and quickly it is transferred to cloud server, cloud server is after the digital information receiving the transmission of mobile phone A PP, automatically
This information is compared search, find and analyze the database information of correspondence, go out available by proposed projects database retrieval
Scheme, feeds back to mobile phone A PP, and scheme is shown by mobile phone A PP by screen.
Embodiment two
A kind of corps nutrient safety detection method, including information acquisition device, mobile phone A PP, cloud server, cloud service
Device includes data operation module and DBM.The major part of cloud server is data base, including spectrum corresponding informance
Data base, plant shape and stress correspondence database, proposed projects database type.Information acquisition device is by sending out to crops
Penetrate tera-hertz spectra, and read the reflectance spectrum information of crops, by mobile phone standard interface or radio connection, will gather
Information transmission in mobile phone A PP, mobile phone A PP information is processed.Mobile phone A PP is converted into biography the spectrum obtained
Defeated digital information, and be quickly transferred to cloud server, cloud server after the digital information receiving the transmission of mobile phone A PP,
Automatically this information is compared search, find and analyze the database information of correspondence, gone out by proposed projects database retrieval
Available solutions, feeds back to mobile phone A PP, and scheme is shown by mobile phone A PP by screen.
Embodiment three
A kind of corps nutrient safety detection method, including information acquisition device, mobile phone A PP, cloud server, cloud service
Device includes data operation module and DBM.The major part of cloud server is data base, including spectrum corresponding informance
Data base, plant shape and stress correspondence database, proposed projects database type.Information acquisition device is by sending out to crops
Penetrate Raman spectrum, and read the reflectance spectrum information of crops, by mobile phone standard interface or radio connection, by gather
Information is transmitted to mobile phone A PP, mobile phone A PP process information.Mobile phone A PP is converted into transmission the spectrum obtained
Digital information, and quickly it is transferred to cloud server, cloud server is after the digital information receiving the transmission of mobile phone A PP, certainly
Dynamic search of comparing this information, finds and analyzes the database information of correspondence, and being gone out by proposed projects database retrieval can
By scheme, feeding back to mobile phone A PP, scheme is shown by mobile phone A PP by screen.
Embodiment four
A kind of corps nutrient safety detection method, including information acquisition device, mobile phone A PP, cloud server, cloud service
Device includes data operation module and DBM.The major part of cloud server is data base, including spectrum corresponding informance
Data base, plant shape and stress correspondence database, proposed projects database type.Information acquisition device is taken pictures method by employing
Formula obtains plant shape information, by mobile phone standard interface or radio connection, transmits the information gathered to mobile phone A PP
In, mobile phone A PP information is processed.Mobile phone A PP carry out image through identification after, the morphological data such as shape, scab is turned
Chemical conversion transmitting digital information, and quickly it is transferred to cloud server, cloud server is receiving the numeral letter of mobile phone A PP transmission
After breath, search of automatically this information being compared, find and analyze the database information of correspondence, by proposed projects, data base examines
Rope goes out available solutions, feeds back to mobile phone A PP, and scheme is shown by mobile phone A PP by screen.
Embodiment five
A kind of corps nutrient safety detection method, including information acquisition device, mobile phone A PP, cloud server, cloud service
Device includes data operation module and DBM.The major part of cloud server is data base, including spectrum corresponding informance
Data base, plant shape and stress correspondence database, proposed projects database type.Information acquisition device is by sending out to crops
Penetrate near infrared spectrum, and read the reflectance spectrum of crops, by radio connection, the spectral information of reading is quickly transmitted
To cloud server, cloud server after receiving the information of information acquisition device, search of automatically this information being compared, seek
Looking for and analyze the database information of correspondence, go out available solutions by proposed projects database retrieval, transmission is to mobile phone A PP, mobile phone
Scheme is shown by APP by screen.
Embodiment six
A kind of corps nutrient safety detection method, including information acquisition device, mobile phone A PP, cloud server, cloud service
Device includes data operation module and DBM.The major part of cloud server is data base, including spectrum corresponding informance
Data base, plant shape and stress correspondence database, proposed projects database type.Information acquisition device is by sending out to crops
Penetrate tera-hertz spectra, and read the reflectance spectrum of crops, by radio connection, the spectral information of reading is quickly transmitted
To cloud server, cloud server after receiving the information of information acquisition device, search of automatically this information being compared, seek
Looking for and analyze the database information of correspondence, go out available solutions by proposed projects database retrieval, transmission is to mobile phone A PP, mobile phone
Scheme is shown by APP by screen.
Embodiment seven
A kind of corps nutrient safety detection method, including information acquisition device, mobile phone A PP, cloud server, cloud service
Device includes data operation module and DBM.The major part of cloud server is data base, including spectrum corresponding informance
Data base, plant shape and stress correspondence database, proposed projects database type.Information acquisition device is by sending out to crops
Penetrate Raman spectrum, and read the reflectance spectrum of crops, by radio connection, the spectral information of reading is quickly transferred to
Cloud server, cloud server after receiving the information of information acquisition device, search of automatically this information being compared, find
And analyze corresponding database information, and going out available solutions by proposed projects database retrieval, transmission is to mobile phone A PP, mobile phone A PP
Scheme is shown by screen.
Embodiment eight
A kind of corps nutrient safety detection method, including information acquisition device, mobile phone A PP, cloud server, cloud service
Device includes data operation module and DBM.The major part of cloud server is data base, including spectrum corresponding informance
Data base, plant shape and stress correspondence database, proposed projects database type.Information acquisition device is taken pictures method by employing
Formula obtains plant shape information, by radio connection, the information of reading is quickly transferred to cloud server, cloud service
Device after receiving the information of information acquisition device, search of automatically this information being compared, find and analyze correspondence data base
Information, goes out available solutions by proposed projects database retrieval, and transmission is to mobile phone A PP, and scheme is shown by mobile phone A PP by screen
Out.
Embodiment nine
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device.Use the scanning port of information acquisition device, read the spectral characteristic of crops, carry out data exchange with cloud server, logical
Cross mobile phone APP and obtain the information such as the nutritional labeling of crops, persticide residue, content of beary metal.
Embodiment ten
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, cloud server.Use
The scanning port of information acquisition device, reads the spectral characteristic of crops；Information acquisition device comprises data transmission module, passes through data
Transport module and cloud server carry out crops data exchange, and obtain the nutritional labeling of crops, persticide residue, with much money
Belong to the information such as content.
Embodiment 11
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, data relay device, cloud
End server.Use the scanning port of information acquisition device, read the spectral characteristic of crops；By data relay device and high in the clouds
Server carries out crops data exchange, and obtains the information such as the nutritional labeling of crops, persticide residue, content of beary metal.
Embodiment 12
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device.Use the scanning port of information acquisition device, read the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information such as the nutritional labeling of crops, persticide residue, content of beary metal.
Proportion of crop planting person's handheld information harvester, in the spectral characteristic of crops acquired in plantation.
Embodiment 13
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device.Use the scanning port of information acquisition device, read the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information such as the nutritional labeling of crops, persticide residue, content of beary metal.
Crops buyer's handheld information harvester, obtains the spectral characteristic of crops in purchase venue.
Embodiment 14
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device.Use the scanning port of information acquisition device, read the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information such as the nutritional labeling of crops, persticide residue, content of beary metal.
The cloud server crops spectroscopic data to receiving, compares with spectral model data, and feedback ratio is to knot
Really.
Embodiment 15
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device.Use the scanning port of information acquisition device, read the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information such as the nutritional labeling of crops, persticide residue, content of beary metal；
The cloud server crops spectroscopic data to receiving, compares with spectral model data, and feedback ratio is to knot
Really, and simultaneously feedback solutions.
Embodiment 16
A kind of corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device.Use the scanning port of information acquisition device, read the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information such as the nutritional labeling of crops, persticide residue, content of beary metal；
Mobile phone A PP selects different spectral method of detection for different crops.
The announcement of book and teaching according to the above description, those skilled in the art in the invention can also be to above-mentioned embodiment party
Formula changes and revises.Therefore, the invention is not limited in detailed description of the invention disclosed and described above, to the present invention's
Some modifications and changes should also be as falling in the scope of the claims of the present invention.Although additionally, this specification using
Some specific terms, but these terms are merely for convenience of description, the present invention does not constitute any restriction.
Claims (24)
1. a corps nutrient safety detection method, it is characterised in that include information acquisition device, cloud server, uses letter
The scanning port of breath harvester, reads the spectral characteristic of crops；Information acquisition device comprises data transmission module, is passed by data
Defeated module and cloud server carry out crops data exchange, obtain the information of crops.
2. a corps nutrient safety detection method, it is characterised in that include information acquisition device, data relay device, high in the clouds
Server, uses the scanning port of information acquisition device, reads the spectral characteristic of crops；Taken with high in the clouds by data relay device
Business device carries out crops data exchange, obtains the information of crops.
3. a corps nutrient safety detection method, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device, uses the scanning port of information acquisition device, reads the spectral characteristic of crops；Carried out with cloud server by mobile phone A PP
Crops data exchange, and obtain the information of crops.
4. according to the detection method described in any one of claims 1 to 3, it is characterised in that described method also includes that crops are purchased
Buyer's handheld information harvester, obtains the spectral characteristic of crops in purchase venue.
5. according to the detection method described in any one of claims 1 to 3, it is characterised in that described cloud server is to receiving
Crops spectroscopic data, compare with spectral model data, feed back comparison result.
6. according to the detection method described in any one of claims 1 to 3, it is characterised in that described cloud server is to receiving
Crops spectroscopic data, compare with spectral model data, feed back comparison result, and simultaneously feedback solutions.
7. according to the detection method described in any one of claims 1 to 3, it is characterised in that described mobile phone A PP is for different farmings
Thing selects different spectral method of detection.
8. according to the detection method described in any one of claims 1 to 3, it is characterised in that the data base of described cloud server
The mode of setting up of module includes effectively modeling band selection method and forecast model method for building up, wherein, and described effective modeling ripple
Section system of selection includes correlation coefficient process, without information variable method of elimination, interval partial least square, back span offset minimum binary
In method, forward interval partial least square, moving window partial least square method, genetic algorithm, independent component analysis method etc.
At least one；Described forecast model method for building up include multiple linear regression, stepwise multiple linear regression, the triangulation network, support to
Amount owner's components regression, cluster analysis, discriminant analysis, partial least square method, the recurrence of kernel function partial least square method, mixed linear
At least one in analysis and artificial neural network etc., the precision evaluating bag of the optimum prediction model of described forecast model
Include calibration set standard deviation validation-cross standard deviation, checking collection standard deviation, calibration set correlation coefficient, checking collection phase relation
Number.
9. a corps nutrient safety detecting system, it is characterised in that: include information acquisition device, cloud server, described system
System uses the scanning port of information acquisition device, reads the spectral characteristic of crops；Information acquisition device comprises data transmission module, logical
Cross data transmission module and carry out crops data exchange with cloud server, obtain the information of crops.
10. a corps nutrient safety detecting system, it is characterised in that: include information acquisition device, data relay device, high in the clouds
Server, described system uses the scanning port of information acquisition device, reads the spectral characteristic of crops；Pass through data relay device
Carry out crops data exchange with cloud server, obtain the information of crops.
11. 1 kinds of corps nutrient safety detecting systems, it is characterised in that: include information acquisition device, mobile phone A PP, cloud service
Device, described system uses the scanning port of information acquisition device, reads the spectral characteristic of crops；Taken with high in the clouds by mobile phone A PP
Business device carries out crops data exchange, and obtains the information of crops.
12. 1 kinds of corps nutrient safety detecting systems, it is characterised in that include information acquisition device, mobile phone A PP, cloud service
Device, described detecting system uses the scanning port of information acquisition device, reads the spectral characteristic of crops；By mobile phone A PP and cloud
End server carries out crops data exchange, and obtains the information of crops；Mobile phone A PP selects different for different crops
Spectral detection system.
13. according to the detecting system described in any one of claim 9 to 12, it is characterised in that described cloud server sets up light
Spectrum model data base contrast.
14. according to the detecting system described in any one of claim 9 to 12, it is characterised in that the scanning of described information acquisition device
Port uses near-infrared, Terahertz, Raman spectrum to be used for quickly detecting crops.
15. according to the detecting system described in any one of claim 9 to 12, it is characterised in that the spectrum of described information gathering is adopted
Storage includes the spectra collection patterns such as transmission, reflection, diffuse-reflectance and transflector.
16. according to the detecting system described in any one of claim 9 to 12, it is characterised in that the spectrum of described information acquisition device
Harvester includes photo-sensitive cell, and this element can share the photo-sensitive cell that mobile phone camera carries, or can integrated special CCD or
CMOS is as photo-sensitive cell.
17. according to the detecting system described in any one of claim 9 to 12, it is characterised in that the scanning of described information acquisition device
Port light source arrangement form is single light source or multiple light courcess, and light source uses Halogen light, light emitting diode and three kinds of luminescence technologies of laser
In at least one.
18. according to the detecting system described in any one of claim 9 to 12, it is characterised in that the scanning of described information acquisition device
Port is the building block of mobile phone, and it is installed on mobile phone surface or interior of mobile phone.
19. according to the detecting system described in any one of claim 9 to 12, it is characterised in that the scanning of described information acquisition device
Port includes beam splitter, and the parallel incoming rays of different wave length can be reflected by it with different angles, to realize dividing of different wave length
From, described beam splitter can be holographic grating or other there is the optical element of identity function.
20. according to the detecting system described in any one of claim 9 to 12, it is characterised in that described mobile phone A PP is the light obtained
Spectrum be converted into transmitting digital information, by 0 and 1 form digital information, quickly realize the metering of data message, transmission,
Exchange, comparison, show with storage.
21. according to the detecting system described in any one of claim 9 to 12, it is characterised in that described information acquisition device and mobile phone
Data-transmission mode between APP is bluetooth or infrared or WIFI wireless mode；Between described mobile phone A PP and cloud database
Transmission mode is WIFI wireless mode；Transmission mode between described information acquisition device and cloud database is the wireless mould of WIFI
Formula.
22. according to the detecting system described in any one of claim 9 to 12, it is characterised in that described cloud server includes number
According to computing module and DBM, the major part of cloud server is data base, including spectrum corresponding informance data base, plants
Thing shape and stress correspondence database, proposed projects database type, be closely connected between each data base, mutually corresponding, really
One or more project that guaranteed request is analyzed, has the specimen that correspondence is referred to, another pith of cloud server
It is information relative analysis module, after the digital information receiving the transmission of mobile phone A PP, search of automatically this information being compared,
Find and analyze the database information of correspondence, go out available solutions by proposed projects database retrieval, feed back to mobile phone A PP and realize
Screen shows.
23. according to the detecting system described in any one of claim 9 to 12, it is characterised in that the data of described cloud server
Computing module carries out pretreatment to gathering spectroscopic data, and the preprocess method of described spectroscopic data information includes Savitzky-
Golay is smooth, derivation, signal correction, standardization, normalization, multiplicative scatter correction, wavelet transformation, Orthogonal Signal Correction Analyze method, clean
At least one in analyte method for pretreating.
24. according to the detecting system described in any one of claim 9 to 12, it is characterised in that the detection of described detecting system is right
As for crops such as fruit, Folium Camelliae sinensis, mixed grain rice, vegetables；The information of its detection includes pol, acidity, hardness, pest and disease damage, water
Point, one or more in starch, fat, albumen, amino acid content, persticide residue, content of beary metal information.
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