CN1789980A - Plant growth information acquisition device based on near infrared spectrum - Google Patents
Plant growth information acquisition device based on near infrared spectrum Download PDFInfo
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- CN1789980A CN1789980A CN 200510062101 CN200510062101A CN1789980A CN 1789980 A CN1789980 A CN 1789980A CN 200510062101 CN200510062101 CN 200510062101 CN 200510062101 A CN200510062101 A CN 200510062101A CN 1789980 A CN1789980 A CN 1789980A
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- 238000012360 testing method Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 5
- 230000011664 signaling Effects 0.000 claims description 3
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- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a plant growth information obtaining device based on near infrared spectra, which is characterized by the following: the light source of near-infrared luminescent diode is fixed in the detecting platform in connection with the pivoted arm of upper detector; the sealing rubber is fixed on the detecting platform; the optical lens and optical fiber are fixed in the rack with two receiving faces opposing; the rack connects the pivoted arm of lower detector; the pivoted arm of upper and lower detector hinges; the exit end of optical fiber connects the input end of photoelectric sensor, which is fixed in the detecting controller; the output end of photoelectric sensor connects the input end of amplifier; the device measures the growth information of plant leaflet surface, which marks the model to correct the growth information to reduce the environmental influence; the detecting darkroom is composed of detector and sealing rubber to improve the detecting progress and speed without the interference of external light source, which is fit for gathering the on-site plant growth information.
Description
Technical field
The present invention relates to the device that a kind of plant growth information is obtained, particularly relate to the device that obtains based on quick, the online plant growth of near-infrared spectral analysis technology in a kind of suitable industrialized agriculture.
Background technology
Under the promotion of national factory farming project, China's industrialized agriculture development is very fast.At present, the industrialized agriculture area of China ranks first in the world, but aggregate level is compared still raising energetically with world's industrialized agriculture developed country.Core as the factory farming of world's industrialized agriculture trend is can control effectively planting environment in the facility, carry out mechanization and automated production, construction is suitable for the optimal environmental condition of plant growth, the Computerized intelligent regulation device adopts the sensor heads of difference in functionality, accurately gather room temperature in the facility, ground temperature, indoor humidity, soil moisture content, solution concentration, gas concentration lwevel, wind direction, parameter such as wind speed and crop growth conditions, by passing computing machine back after the digital circuit conversion, and data are carried out showing after statistical study and intelligent the processing, according to the required top condition of plant growth, system sends instruction by computer intelligence, make relevant system, device and the regular running of equipment, with indoor temperature, light, water, fertile, factors such as gas are synthesized and coordinated optimum condition, guarantee all activity in production science, in order, standard, carry out constantly.
At present, external hothouse production intellectualized operation be with crop growth simulation model as one of its core supporting technology, utilize computer means, the various growth courses of crop are carried out comprehensive numerical simulation, with the growth course of the conceptualization crop of mathematics.And fast, effectively obtain and describe plant growth is the important foundation of setting up, verify and move the growth simulation model.Perfect growth simulation model can provide the crop growing state diagnosis according to crop oneself state information, for decision-making management provides foundation.Therefore, the research that industrialized agriculture plant growth information is obtained crop growth simulation model has stronger using value, by obtaining facility implants growth information, set up the mathematical prediction model of crop growth conditions, just can realize the real-time of plant growth situation or timing automatic monitoring are improved the intelligent level of industrialized agriculture.
Carrying out at present the main research that plant growth information obtains abroad has:
People such as Seginer find in the research of graphical analysis monitoring plant leaf growth situation, the motion of tomato leaf that grows up to type fully is almost linear relevant with lack of water situation and absorptivity, the motion state of blade tip is that the reflection plant needs the highstrung index of regimen condition, in view of the above, they with the blade tip sag as reflection water deficit in a plant index, and utilize the growth of computer vision technique monitoring plant leaf, the control signal of monitoring result as irrigation system; Fringe ripple letter hero etc. is found the water percentage of blade and the gray-scale value and the gray-scale value of its near-infrared image
Distribution on spatial domain is relevant, and utilizes this technological prediction leaf water content; Ahmad etc. think and utilize HSI (gray scale) value can reflect earlier that plant because of the different color distinction that cause with nitrogen level of water, is used for scientific application of irrigation and applied nitrogen by the chromophotograph digitizing of scanning with milpa; YunseopKim and John F.Reid carry out graphical analysis with the multispectral image that spectrum sensor obtains, and set up the nitrogen content of a cover system with the evaluation crop, thereby obtain the growing state of crop; Kacira etc. utilize image processing techniques, are partitioned into the crop canopies zone from the crop map picture, utilize image processing techniques to obtain the water conditions of demand of crop in growth.
Report from present foreign study, the technical research of obtaining to plant growth information is the widespread uses in agricultural such as machine vision technique, image processing techniques, spectral analysis technique and infotech, make agricultural production process and management have science, controllability, stability and high-level efficiency more, and progressively realize the intelligent management of agricultural production process.
For external research, China starts late in the research of plant growth information aspect obtaining, domestic research mainly contains: Tang Yanlin etc. judge its nutrition condition with crop leaf reflectance spectrum change in color, implement accurately fertilising, and judge that according to canopy surface temperature, leaf water potential that crop canopies spectral reflectance feature is reflected crop has water regime now, implement accurately to irrigate; The literary composition new Asia is by the calculating to wheatland colony picture tone (Hue) value, with the Hue value monitoring growing way of wheatland fertility middle and later periods; Zhao Jiewen etc. utilize hydrone that near the infrared light the 960nm is had this characteristic of stronger absorption, gray scale-gradient co-occurrence matrix the method that adopts texture analysis in the image processing techniques is obtained separately characteristic quantity to the near-infrared image of crop leaf, obtains the textural characteristics value of near-infrared image of vegetables blade and the relation between its water percentage.
Near infrared (NIR) spectral analysis technique, it is a measuring technology that develops rapidly in the later stage eighties in last century, advantages such as it is quick, easy, relatively accurate that though near-infrared spectral analysis technology has, show from the domestic and international research situation, different material has abundant absorption spectrum near infrared region, every kind of composition all has specific absorption feature, for Near-Infrared Spectra for Quantitative Analysis provides the foundation, be widely used in the content analysis of compositions such as protein, fat, moisture, amino acid, starch, sugar, acid.Nondestructive test and agricultural remote sensing that the present application facet of NIR spectral analysis technique on agricultural mainly concentrates on grain quality analysis, part fruits and vegetables inside quality are technical.
The moisture of plant leaf blade, chlorophyll content and nitrogen content are and the plant closely-related important indicator of growing, at present, do not have near-infrared spectral analysis technology in the application of plant growth information aspect obtaining, mainly obtain some indexs in the plant by instrument or conventional determining method.
Summary of the invention
The object of the present invention is to provide a kind of plant growth information acquisition device based near infrared spectrum, the near infrared spectrum of the blade by herborization is also realized quick, the online device that obtains plant growth information (moisture, chlorophyll content and the nitrogen content that mainly comprise plant leaf blade) by spectral manipulation.
The technical solution adopted for the present invention to solve the technical problems is: it comprises near-infrared luminous diode light-source, last detecting device pivoted arm, airtight rubber, following detecting device pivoted arm, optical lens, articles holding table, optical fiber, photoelectric sensor, monitor station, temperature sensor, position transducer and detection controller.In the near-infrared luminous diode light-source fixed test platform, monitor station is connected with last detecting device pivoted arm, and airtight rubber is fixed on the monitor station; Optical lens and optical fiber are fixed in the articles holding table, the exit facet of optical lens and optical fiber to accept face relative, articles holding table is connected with following detecting device pivoted arm, last detecting device pivoted arm is hinged with following detecting device pivoted arm; The exit end of optical fiber is connected with the input end of photoelectric sensor; Photoelectric sensor is fixed on and detects in the controller, and the output terminal of photoelectric sensor is connected with amplifier input terminal.
Described detection controller: comprise amplifier, mould/number conversion, single-chip microcomputer, display screen and calibration model memory; Amplifier input terminal is connected with the output terminal of photoelectric sensor, the output terminal of amplifier is connected with the input end of mould/number conversion, the output terminal of mould/number conversion is connected with the I/O mouth of single-chip microcomputer, single-chip microcomputer also respectively with display screen, calibration model memory, be connected with the output terminal of temperature sensor temperature signal with the position transducer position signalling through two other I/O mouth, is solidified with spectrum pretreatment module and temperature correction module in the calibration model memory.
The beneficial effect that the present invention has is: directly the plant growth information is carried out on the plant leaf blade surface and measure, belong to the Non-Destructive Testing mode; Adopt near-infrared luminous diode light-source, power consumption less, applicability is strong, stability is strong; Temperature sensor obtains ambient temperature, and proofreaies and correct by the plant growth information calibration model that has temperature correction, has reduced the influence of ambient temperature to testing result; Adopt specific detectors and airtight rubber, can form and detect the darkroom, avoid the interference of external light source, improve detection progress and detection speed.
Description of drawings
Fig. 1 is based on the plant growth information acquisition device synoptic diagram of near infrared spectrum;
Fig. 2 is the structured flowchart that detects controller;
Fig. 3 is a modeling process process flow diagram of the present invention.
Among the figure: 1, near-infrared luminous diode light-source; 2, go up the detecting device pivoted arm; 3, airtight rubber; 4, following detecting device pivoted arm; 5, optical lens; 6, articles holding table; 7, optical fiber; 8, photoelectric sensor; 9, monitor station; 10, temperature sensor; 11, position transducer; 12, detect controller; 13, amplifier; 14, analog to digital conversion; 15, single-chip microcomputer; 16, display screen; 17, calibration model memory.
Embodiment
As shown in Figure 1, the present invention includes near-infrared luminous diode light-source 1, last detecting device pivoted arm 2, airtight rubber 3, following detecting device pivoted arm 4, optical lens 5, articles holding table 6, optical fiber 7, photoelectric sensor 8, monitor station 9, temperature sensor 10, position transducer 11, detection controller 12.In the near-infrared luminous diode light-source 1 fixed test platform 9, monitor station 9 is connected with last detecting device pivoted arm 2, and airtight rubber 3 is fixed on the monitor station 9; Optical lens 5 and optical fiber 7 are fixed in the articles holding table 6, the exit facet of optical lens 5 and optical fiber 7 to accept face relative, articles holding table 6 is connected with following detecting device pivoted arm 4, last detecting device pivoted arm 2 is hinged with following detecting device pivoted arm 4; The exit end of optical fiber 7 is connected with the input end of photoelectric sensor 8; Photoelectric sensor 8 is fixed on and detects in the controller 12, and the output terminal of photoelectric sensor 8 is connected with the input end of amplifier 13.
As shown in Figure 2, described detection controller 12: comprise amplifier 13, mould/number conversion 14, single-chip microcomputer 15, display screen 16 and calibration model memory 17.The input end of amplifier 13 is connected with the output terminal of photoelectric sensor 8, the output terminal of amplifier 13 is connected with the input end of mould/number conversion 14, the output terminal of mould/number conversion 14 is connected with the I/O mouth of single-chip microcomputer 15, single-chip microcomputer 15 also is connected with display screen 16, calibration model memory 17, temperature sensor 10 temperature signals and the output terminal of position transducer 11 position signallings respectively, is solidified with spectrum pretreatment module and temperature correction module in the calibration model memory 17.
Photoelectric sensor 7 of the present invention can be selected silicon detecting device, indium gallium arsenic detecting device or lead sulfide detecror.Temperature sensor 10 adopts two to compile into AD590 (0~50 ℃).Amplifier 13 can adopt the device of models such as LM324, OPA11, OP27.Analog to digital conversion 14 can adopt ADS7804, ADS7807, MAX1247, MAX525.Single-chip microcomputer 15 can adopt the device of models such as AT89S52, AT89S57, MCS8051.Display screen 16 can adopt LCD LCD such as HD61202, HD61203.Calibration model memory 17 can adopt DS1230, RAM such as 62256.
The detected temperatures scope of apparatus of the present invention is 15~40 ℃.
Introduce the concrete course of work below in conjunction with Fig. 1, Fig. 2 and Fig. 3:
This device is moved to by the plant, and the blade that will detect on the selection plant, make blade to be detected be positioned at the top of articles holding table 6, detecting device pivoted arm 2 in the rotation, make airtight rubber 3 applyings blade to be detected, make detection zone form airtight darkroom, at this moment position transducer 11 detects signal, this signal sends look-at-me to single-chip microcomputer 15, starts the plant growth information and detects.
On the illumination blade to be measured that is sent by near-infrared luminous diode light-source 1, and see through blade to be measured, optical lens 5 is collected the transmitted light that sees through the detected position of blade to be measured, and is mapped on the optical fiber 7.
Optical fiber 7 is passed to photoelectric sensor 8 with light signal, and photoelectric sensor 8 is transformed into electric signal with light signal, and electric signal is exaggerated device 13 and amplifies, and is transformed into the spectrum digital signal by mould/number conversion 14, and input single-chip microcomputer 15.
Single-chip microcomputer 15 is sent the ambient temperature of spectrum digital signal and temperature sensor 11 acquisitions into calibration model memory 17, calculate the plant growth information of testing sample by the plant growth information calibration models (modeling process is seen Fig. 3) that have temperature correction in the calibration model memory 17, and by single-chip microcomputer 15 structure is outputed on the display screen 16 and to show.
Claims (2)
1, a kind of plant growth information acquisition device based near infrared spectrum is characterized in that: comprise near-infrared luminous diode light-source (1), last detecting device pivoted arm (2), airtight rubber (3), following detecting device pivoted arm (4), optical lens (5), articles holding table (6), optical fiber (7), photoelectric sensor (8), monitor station (9), temperature sensor (10), position transducer (11), detect controller (12); In near-infrared luminous diode light-source (1) the fixed test platform (9), monitor station (9) is connected with last detecting device pivoted arm (2), and airtight rubber (3) is fixed on the monitor station (9); Optical lens (5) and optical fiber (7) are fixed in the articles holding table (6), the exit facet of optical lens (5) and optical fiber (7) to accept face relative, articles holding table (6) is connected with following detecting device pivoted arm (4), last detecting device pivoted arm (2) is hinged with following detecting device pivoted arm (4); The exit end of optical fiber (7) is connected with the input end of photoelectric sensor (8); Photoelectric sensor (8) is fixed on and detects in the controller (12), and the output terminal of photoelectric sensor (8) is connected with the input end of amplifier (13).
2, a kind of plant growth information acquisition device based near infrared spectrum according to claim 1 is characterized in that described detection controller (12): comprise amplifier (13), mould/number conversion (14), single-chip microcomputer (15), display screen (16) and calibration model memory (17); The input end of amplifier (13) is connected with the output terminal of photoelectric sensor (8), the output terminal of amplifier (13) is connected with the input end of mould/number conversion (14), the output terminal of mould/number conversion (14) is connected with the I/O mouth of single-chip microcomputer (15), single-chip microcomputer (15) also is connected with display screen (16), calibration model memory (17), temperature sensor (10) temperature signal and the output terminal of position transducer (11) position signalling respectively, is solidified with spectrum pretreatment module and temperature correction module in the calibration model memory (17).
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Cited By (15)
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CN101900677A (en) * | 2010-07-05 | 2010-12-01 | 浙江大学 | Method for rapidly detecting valine content of rape leaf |
CN101900678A (en) * | 2010-07-05 | 2010-12-01 | 浙江大学 | Method for quickly detecting leucine content in rape leaves |
WO2012027867A1 (en) * | 2010-08-30 | 2012-03-08 | 南通北极光自动控制技术有限公司 | Online spectrum analyzer for detecting diffuse reflection with ultraviolet (uv), visible and near infrared (nir) light |
CN102798614A (en) * | 2012-08-13 | 2012-11-28 | 浙江大学 | Soil total potassium content detection apparatus and method |
TWI420092B (en) * | 2010-12-31 | 2013-12-21 | Ind Tech Res Inst | Optical detection apparatus and optical detection method |
CN103557934A (en) * | 2013-10-25 | 2014-02-05 | 北京农业信息技术研究中心 | Device for measuring light distribution in crop canopy |
CN104931438A (en) * | 2015-05-29 | 2015-09-23 | 苏州德锐朗智能科技有限公司 | Photoelectric sensor-based chlorophyll content detection method |
CN108693145A (en) * | 2017-04-11 | 2018-10-23 | 中国农业大学 | A kind of plant leaf blade moisture content detecting method |
CN109191518A (en) * | 2018-09-11 | 2019-01-11 | 曹皓森 | One plant growth is used tricks calculation machine measurement display system and control method |
CN109297963A (en) * | 2018-10-12 | 2019-02-01 | 湖南农业大学 | Soil image acquisition equipment, soil water-containing amount detection systems and detection method |
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2005
- 2005-12-16 CN CN 200510062101 patent/CN100480681C/en not_active Expired - Fee Related
Cited By (20)
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CN101900677A (en) * | 2010-07-05 | 2010-12-01 | 浙江大学 | Method for rapidly detecting valine content of rape leaf |
CN101900678A (en) * | 2010-07-05 | 2010-12-01 | 浙江大学 | Method for quickly detecting leucine content in rape leaves |
CN101900678B (en) * | 2010-07-05 | 2012-05-23 | 浙江大学 | Method for quickly detecting leucine content in rape leaves |
CN101900677B (en) * | 2010-07-05 | 2012-05-23 | 浙江大学 | Method for rapidly detecting valine content of rape leaves |
WO2012027867A1 (en) * | 2010-08-30 | 2012-03-08 | 南通北极光自动控制技术有限公司 | Online spectrum analyzer for detecting diffuse reflection with ultraviolet (uv), visible and near infrared (nir) light |
TWI420092B (en) * | 2010-12-31 | 2013-12-21 | Ind Tech Res Inst | Optical detection apparatus and optical detection method |
CN102798614A (en) * | 2012-08-13 | 2012-11-28 | 浙江大学 | Soil total potassium content detection apparatus and method |
CN103557934A (en) * | 2013-10-25 | 2014-02-05 | 北京农业信息技术研究中心 | Device for measuring light distribution in crop canopy |
CN103557934B (en) * | 2013-10-25 | 2015-06-17 | 北京农业信息技术研究中心 | Device for measuring light distribution in crop canopy |
CN104931438A (en) * | 2015-05-29 | 2015-09-23 | 苏州德锐朗智能科技有限公司 | Photoelectric sensor-based chlorophyll content detection method |
CN108693145A (en) * | 2017-04-11 | 2018-10-23 | 中国农业大学 | A kind of plant leaf blade moisture content detecting method |
CN108693145B (en) * | 2017-04-11 | 2020-02-07 | 中国农业大学 | Plant leaf water content detection method |
CN109191518A (en) * | 2018-09-11 | 2019-01-11 | 曹皓森 | One plant growth is used tricks calculation machine measurement display system and control method |
CN109297963A (en) * | 2018-10-12 | 2019-02-01 | 湖南农业大学 | Soil image acquisition equipment, soil water-containing amount detection systems and detection method |
CN112432919A (en) * | 2019-08-08 | 2021-03-02 | 北京蓝星清洗有限公司 | Transmission-type temperature sensing near-infrared probe measuring system |
CN112432918A (en) * | 2019-08-08 | 2021-03-02 | 北京蓝星清洗有限公司 | Diffuse reflection type temperature sensing near-infrared probe measuring system |
CN112432920A (en) * | 2019-08-08 | 2021-03-02 | 北京蓝星清洗有限公司 | Transmission-reflection type temperature sensing near-infrared probe measuring system |
CN111972123A (en) * | 2020-07-17 | 2020-11-24 | 武汉爱农云联科技有限公司 | Intelligent fruit and vegetable picking recommendation method and device based on intelligent planter |
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CN113155771B (en) * | 2021-03-24 | 2022-10-18 | 华中农业大学 | Split type quick accurate blade water potential survey device |
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