CN101881725A - Automatic monitoring system of greenhouse crop growth conditions based on reflection spectrum - Google Patents

Automatic monitoring system of greenhouse crop growth conditions based on reflection spectrum Download PDF

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Publication number
CN101881725A
CN101881725A CN 201010200985 CN201010200985A CN101881725A CN 101881725 A CN101881725 A CN 101881725A CN 201010200985 CN201010200985 CN 201010200985 CN 201010200985 A CN201010200985 A CN 201010200985A CN 101881725 A CN101881725 A CN 101881725A
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screw mandrel
stepper motor
slide block
links
growth conditions
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CN 201010200985
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CN101881725B (en
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黄承伟
戴连奎
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Zhejiang University ZJU
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Zhejiang University ZJU
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Abstract

The invention discloses an automatic monitoring system of greenhouse crop growth conditions based on a reflection spectrum, comprises a first screw rod, a second screw rod and a third screw rod, wherein a sliding block with a threaded hole is respectively sleeved on the three screw rods, and the movement of any points in the three-dimensional space can be realized by a stepping motor; and a camera and a reflection probe are arranged on one screw rod, and a near-infrared light source, a spectrometer, an industrial personal computer and a relay are arranged on another screw rod. The monitoring system is capable of automatically adjusting the space position of the reflection probe by combining the reflectance spectrum and image information under the control of a remote computer and calculating a plurality of indexes, such as leaf area index, water content, chlorophyll content, and the like on the basis of the visible/near-infrared reflectance spectrum, thereby analyzing the growth conditions of crops and providing the reference for growth management of the crops. The whole system has simple structure, low cost and high automation level and realizes the aims of fast and dynamically monitoring the growth conditions of the crops in loss-free, all-sided and multi-index forms.

Description

Automatic monitoring system of greenhouse crop growth conditions based on reflectance spectrum
Technical field
The present invention relates to the crop growth conditions monitoring system, a kind of specifically greenhouse crop growth conditions near infrared light spectra system of monitoring automatically that is used for.
Background technology
Precision agriculture can accurately be grasped weather and the soil information except requiring; need carry out real-time omnibearing monitoring to crop growth; make it by cultivation management means such as fertilizer, dispensers; carry out agriculture management efficiently and management; and reduce by the agriculture produced pollution; and then reach the target that improves productive profit, preserves the ecological environment, make that agricultural is continued, healthy development., need monitor in real time for this reason, and analyze the reason that produces undesirable condition, so that take appropriate measures crops growing way (upgrowth situation).Metamorphosis such as crop growing state is meant the form phase in the crop growth process, and its strong and weak general leaf area, leaf look, leaf inclination angle, plant height and stem by the observation plant is thick are weighed.At different periods or different light, temperature, moisture content, CO 2Under the growth conditions of soil, the growing way significant difference of crop.
The growing way monitoring technology of crop relates to soil and the identification of weeds background, leaf area and plant height are measured, the form of blade is discerned, four aspects of crop alimentary information analysis, and at present greenhouse crops growing way situation real time monitoring is mainly comprised: machine vision and spectral technique.Machine vision technique is after utilizing imageing sensor to obtain subject image, image transitions is become digital picture, utilize the criterion of computer mould personification to handle, and understood, reach the purpose of analysis image and the monitored object features of extraction, finally be used for actual monitoring and control.When crop changed in nutrition condition, the color of the height of plant, upright degree and blade, texture had certain variation.These change the information that is embodied can pass through camera acquisition, and handles with computing machine, mates with the data under the normal condition, thereby provides monitoring result.Yet present machine vision technique is not obtained very big progress on the background Study of recognition, and major part rests on the experiment under the man-made environment, and under actual crop complex background, this technology can't satisfy requirements of actual production.
The application that spectral analysis technique obtains in plant growth information is more and more, mainly adopts near infrared spectrum and high spectral technique etc.High spectral technique has begun to be used for the vegetation chlorophyll content evaluation in land for growing field crops, and except spectrometer self signal to noise ratio (S/N ratio) was undesirable, also there were many difficulties in the determining of vegetation self physical parameter; In addition, the evaluation model of being set up is subjected to all multifactor influences such as vegetation pattern, variety of crops, growing stage, growth conditions and measurement environment, can only be applicable to special occasion.In addition, high spectral detection instrument costs an arm and a leg mostly from external introduction.At present, domestic how tame unit is at development crop growing state spectral information monitor model machine, but these monitors or function singleness, can only monitor a kind of nutrition condition (as the nitrogen nutrition of paddy rice) of monocrop, or portable instrument, need manually operation at the scene, can't carry out real-time omnibearing monitoring to crop easily.
For adapting to the actual demand of precision agriculture, develop good and cheap, simple and practical, the real-time dynamic monitoring system that can be applied to plant on a small scale plant of China oneself, and realize to have crucial meaning to crop leaf area index, moisture, the isoparametric comprehensive monitoring of chlorophyll density.
Summary of the invention
The purpose of this invention is to provide a kind of low cost, the simple and practical system that carries out non-destructive monitoring greenhouse corps upgrowth situation based on reflectance spectrum automatically, by obtaining crop canopies reflectance spectrum and pictorial information, understand crop growth conditions and provide foundation for crop management.
Automatic monitoring system of greenhouse crop growth conditions based on reflectance spectrum of the present invention, X, Y, first screw mandrel that the Z direction is installed, second screw mandrel and the 3rd screw mandrel, first screw mandrel is arranged in the rail groove, one end of first screw mandrel links to each other with the rotating shaft of first stepper motor, on first screw mandrel, be with first slide block with threaded hole, first slide block and equipment box bottom are fixing, fix second stepper motor at the upper surface of equipment box, the rotating shaft of second stepper motor links to each other with an end of second screw mandrel of setting, on the bracing frame of the second screw mandrel other end illuminating lamp is installed, be with second slide block with threaded hole on second screw mandrel, on second slide block, fix the 3rd stepper motor, the rotating shaft of the 3rd stepper motor links to each other with an end of the 3rd screw mandrel of level, on the bracing frame of the 3rd screw mandrel other end, camera is installed, be with the 3rd slide block with threaded hole on the 3rd screw mandrel, fixation reflex probe on the 3rd slide block, be provided with power supply in the said equipment case, near-infrared light source, spectrometer, industrial computer and relay, reflection probe links to each other with the input end and the near-infrared light source of spectrometer by optical fiber interface, a signal end of industrial computer links to each other with the output terminal and the near-infrared light source of spectrometer, another signal end of industrial computer links to each other with remote computer through communication port, an output terminal of industrial computer is connected with the input end of relay, the output terminal of relay is connected with illuminating lamp with camera, another output terminal of industrial computer through stepper motor driver respectively with first, second links to each other with the 3rd stepper motor.
In remote computer, configure this automatic monitoring system at horizontal plane coordinate x, detection route and moving step length on the y, the whole plane of assurance monitoring point energy nurse crop canopy.Camera is radiated at target detection point zone, remote computer sends the run signal of control the first and the 3rd stepper motor to industrial computer, make reflection probe move on to the detection position of setting path, camera is passed image information and demonstration on computers back from the booth scene to remote computer, remote computer extracts the information of respective coordinates from these images, determine that the target detection thing under this coordinate is crop rather than soil, send the operation turn signal of control second stepper motor then to industrial computer, the promotion horizontal cross bar moves down, and makes reflection probe arrive suitable detection position.Then, remote control computer sends signal by the cut-off illuminating lamp, near-infrared light source is launched and is comprised visible light (400~700nm) and near infrared (700~1000nm) emergent lights, shine the target detection thing through optical fiber by reflection probe, detect the reflected light of thing and send into spectrometer by the reflection probe reception and through Optical Fiber Transmission, spectrometer carries out beam split to light signal, change electric signal into and send to remote computer by industrial computer, computing machine shows the spectroscopic data that obtains, preserve and carry out data pre-service and qualitative/quantitative test at analytic system software.Three stepper motors have guaranteed that monitoring system can carry out the arbitrfary point to crop belts and detect in three dimensions.
The invention has the advantages that: simple to operate, measure and directly finish on the crop leaf surface, by obtaining crop canopies reflectance spectrum and pictorial information, understand the multiple index (leaf area index, moisture and chlorophyll density) of crop growth conditions, realized the purpose of quick nondestructive monitoring plant growth; System architecture is simple, and is with low cost, makes its large-scale popularization in crop growth conditions monitoring of booth at home; System automation level height, adopt camera just can discern very big soil of background difference and crop, determine that in conjunction with reflectance spectrum identification target detection thing and suitable reflection probe detect height then, overcome the limitation of simple employing machine vision or spectrographic technique monitoring crop growth conditions, improved monitoring accuracy and reliability.
Description of drawings
Fig. 1 is that the present invention constitutes synoptic diagram;
Fig. 2 is the first stepper motor connection diagram;
Among the figure: 1-track, 2-camera, 3-illuminating lamp, 4-first stepper motor, 5-second stepper motor, 6-the 3rd stepper motor, 7 equipment boxs, 8-remote computer, the 9-reflection probe, 10-first screw mandrel, 11-second screw mandrel, 12-the 3rd screw mandrel, 13-first slide block, 14-second slide block, 15-the 3rd slide block, 70-power supply, the 71-near-infrared light source, 72-spectrometer, 73-industrial computer, 74-relay, the 75-optical fiber interface, 76-communication port, 77-stepper motor driver.
Embodiment
Further specify the present invention below in conjunction with accompanying drawing.
With reference to Fig. 1, Fig. 2, automatic monitoring system of greenhouse crop growth conditions based on reflectance spectrum of the present invention, comprise X, Y, first screw mandrel 10 that the Z direction is installed, second screw mandrel 11 and the 3rd screw mandrel 12, first screw mandrel 10 is arranged in track 1 groove, one end of first screw mandrel 10 links to each other with the rotating shaft of first stepper motor 4, on first screw mandrel 10, be with first slide block 13 with threaded hole, first slide block 13 is fixed with equipment box 7 bottoms, fix second stepper motor 5 at the upper surface of equipment box 7, the rotating shaft of second stepper motor 5 links to each other with an end of second screw mandrel 11 of setting, illuminating lamp 3 is installed on the bracing frame of second screw mandrel, 11 other ends, be with second slide block 14 with threaded hole on second screw mandrel 11, on second slide block 14, fix the 3rd stepper motor 6, the rotating shaft of the 3rd stepper motor 6 links to each other with an end of the 3rd screw mandrel 12 of level, camera 2 is installed on the bracing frame of the 3rd screw mandrel 12 other ends, be with the 3rd slide block 15 with threaded hole on the 3rd screw mandrel 12, fixation reflex probe 9 on the 3rd slide block 15, be provided with power supply 70 in the said equipment case 7, near-infrared light source 71, spectrometer 72, industrial computer 73 and relay 74, reflection probe 9 links to each other with the input end and the near-infrared light source 71 of spectrometer 72 by optical fiber interface 75, a signal end of industrial computer 73 links to each other with the output terminal and the near-infrared light source 71 of spectrometer 72, another signal end of industrial computer 73 links to each other with remote computer 8 through communication port 76, an output terminal of industrial computer 73 is connected with the input end of relay 74, the output terminal of relay 74 is connected with illuminating lamp 3 with camera 2, another output terminal of industrial computer 73 through stepper motor driver 77 respectively with first, the second and the 3rd stepper motor 4,5 link to each other with 6.
Industrial computer can adopt the UNO-2170 industrial computer that grinds magnificent company.

Claims (1)

1. based on the automatic monitoring system of greenhouse crop growth conditions of reflectance spectrum, it is characterized in that comprising X, Y, first screw mandrel (10) that the Z direction is installed, second screw mandrel (11) and the 3rd screw mandrel (12), first screw mandrel (10) is arranged in track (1) groove, one end of first screw mandrel (10) links to each other with the rotating shaft of first stepper motor (4), on first screw mandrel (10), be with first slide block (13) with threaded hole, first slide block (13) is fixing with equipment box (7) bottom, fix second stepper motor (5) at the upper surface of equipment box (7), the rotating shaft of second stepper motor (5) links to each other with an end of second screw mandrel (11) of setting, on the bracing frame of second screw mandrel (11) other end illuminating lamp (3) is installed, be with second slide block (14) with threaded hole on second screw mandrel (11), on second slide block (14), fix the 3rd stepper motor (6), the rotating shaft of the 3rd stepper motor (6) links to each other with an end of the 3rd screw mandrel (12) of level, camera (2) is installed on the bracing frame of the 3rd screw mandrel (12) other end, be with the 3rd slide block (15) with threaded hole on the 3rd screw mandrel (12), go up fixation reflex probe (9) at the 3rd slide block (15), be provided with power supply (70) in the said equipment case (7), near-infrared light source (71), spectrometer (72), industrial computer (73) and relay (74), reflection probe (9) links to each other with the input end and the near-infrared light source (71) of spectrometer (72) by optical fiber interface (75), a signal end of industrial computer (73) links to each other with the output terminal and the near-infrared light source (71) of spectrometer (72), another signal end of industrial computer (73) links to each other with remote computer (8) through communication port (76), an output terminal of industrial computer (73) is connected with the input end of relay (74), the output terminal of relay (74) is connected with illuminating lamp (3) with camera (2), another output terminal of industrial computer (73) through stepper motor driver (77) respectively with first, the second and the 3rd stepper motor (4,5,6) link to each other.
CN2010102009854A 2010-06-11 2010-06-11 Automatic monitoring system of greenhouse crop growth conditions based on reflection spectrum Expired - Fee Related CN101881725B (en)

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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102590103A (en) * 2012-02-29 2012-07-18 翟学智 Near-infrared detector for meat and detection method thereof
CN102621118A (en) * 2012-03-18 2012-08-01 吉林大学 Early warning method of greenhouse vegetable diseases and insect pests
CN105706783A (en) * 2015-03-23 2016-06-29 阜阳市农业科学院 Soybean cultivation device with regular monitoring and recording functions
CN105815201A (en) * 2016-04-03 2016-08-03 合肥博雷电子信息技术有限公司 Greenhouse soilless culture intelligent monitoring system based on Internet of Things
CN107920093A (en) * 2016-10-08 2018-04-17 南京理工大学 Field crops integral intelligent monitoring device
WO2018111064A1 (en) * 2016-12-15 2018-06-21 Herrera Cadena Isaac Abraham System for monitoring and controlling water stress in order to optimise oil extraction
CN108196035A (en) * 2018-02-06 2018-06-22 仲恺农业工程学院 The greenhouse detection device of crop and its soil can be traversed
CN109324509A (en) * 2018-09-11 2019-02-12 合刃科技(深圳)有限公司 Information Regulating method, apparatus and system
CN110057834A (en) * 2019-05-20 2019-07-26 天津工业大学 A kind of agricultural greenhouse greenhouse damage detection device based on machine vision technique
US10473580B2 (en) 2016-01-14 2019-11-12 Ramot At Tel-Aviv University Ltd. Portable soil spectral probe
CN111194636A (en) * 2020-02-21 2020-05-26 桂林市思奇通信设备有限公司 Intelligent cotton bud topping system
CN117269108A (en) * 2023-10-16 2023-12-22 河南省科学院 Portable eucommia ulmoides leaf screening device and screening method for near infrared spectrum transmission detection

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6466321B1 (en) * 1999-06-17 2002-10-15 Satake Corporation Method of diagnosing nutritious condition of crop in plant field
CN1710406A (en) * 2004-06-18 2005-12-21 中国农业大学 Crop growing-state real-time analyzing instrument
CN2864669Y (en) * 2005-12-16 2007-01-31 浙江大学 Plant growth information acquiring device based on near infrared spectra
CN101639380A (en) * 2008-12-02 2010-02-03 青岛科技大学 Controllable system device of field ground feature spectral measurement
CN201780267U (en) * 2010-06-11 2011-03-30 浙江大学 Automatic greenhouse crop growth status monitoring system based on reflection spectrum

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6466321B1 (en) * 1999-06-17 2002-10-15 Satake Corporation Method of diagnosing nutritious condition of crop in plant field
CN1710406A (en) * 2004-06-18 2005-12-21 中国农业大学 Crop growing-state real-time analyzing instrument
CN2864669Y (en) * 2005-12-16 2007-01-31 浙江大学 Plant growth information acquiring device based on near infrared spectra
CN101639380A (en) * 2008-12-02 2010-02-03 青岛科技大学 Controllable system device of field ground feature spectral measurement
CN201780267U (en) * 2010-06-11 2011-03-30 浙江大学 Automatic greenhouse crop growth status monitoring system based on reflection spectrum

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《物理》 19931231 金仲辉 绿色植物反射光谱的特征及其在监测农作物生长中的应用 673-678 1 第22卷, 第11期 2 *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102590103A (en) * 2012-02-29 2012-07-18 翟学智 Near-infrared detector for meat and detection method thereof
CN102621118A (en) * 2012-03-18 2012-08-01 吉林大学 Early warning method of greenhouse vegetable diseases and insect pests
CN102621118B (en) * 2012-03-18 2013-11-06 吉林大学 Early warning method of greenhouse vegetable diseases and insect pests
CN105706783B (en) * 2015-03-23 2019-06-25 阜阳市农业科学院 A kind of soybean breeding apparatus of timing monitoring record
CN105706783A (en) * 2015-03-23 2016-06-29 阜阳市农业科学院 Soybean cultivation device with regular monitoring and recording functions
US10473580B2 (en) 2016-01-14 2019-11-12 Ramot At Tel-Aviv University Ltd. Portable soil spectral probe
CN105815201A (en) * 2016-04-03 2016-08-03 合肥博雷电子信息技术有限公司 Greenhouse soilless culture intelligent monitoring system based on Internet of Things
CN107920093A (en) * 2016-10-08 2018-04-17 南京理工大学 Field crops integral intelligent monitoring device
WO2018111064A1 (en) * 2016-12-15 2018-06-21 Herrera Cadena Isaac Abraham System for monitoring and controlling water stress in order to optimise oil extraction
CN108196035A (en) * 2018-02-06 2018-06-22 仲恺农业工程学院 The greenhouse detection device of crop and its soil can be traversed
CN109324509A (en) * 2018-09-11 2019-02-12 合刃科技(深圳)有限公司 Information Regulating method, apparatus and system
CN110057834A (en) * 2019-05-20 2019-07-26 天津工业大学 A kind of agricultural greenhouse greenhouse damage detection device based on machine vision technique
CN111194636A (en) * 2020-02-21 2020-05-26 桂林市思奇通信设备有限公司 Intelligent cotton bud topping system
CN117269108A (en) * 2023-10-16 2023-12-22 河南省科学院 Portable eucommia ulmoides leaf screening device and screening method for near infrared spectrum transmission detection
CN117269108B (en) * 2023-10-16 2024-02-27 河南省科学院 Portable eucommia ulmoides leaf screening device and screening method for near infrared spectrum transmission detection

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