CN105652923A - Self-adaption plant cultivation lighting adjustment system based on machine vision - Google Patents
Self-adaption plant cultivation lighting adjustment system based on machine vision Download PDFInfo
- Publication number
- CN105652923A CN105652923A CN201610165585.1A CN201610165585A CN105652923A CN 105652923 A CN105652923 A CN 105652923A CN 201610165585 A CN201610165585 A CN 201610165585A CN 105652923 A CN105652923 A CN 105652923A
- Authority
- CN
- China
- Prior art keywords
- plant
- self
- adaptation
- light
- neural network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D25/00—Control of light, e.g. intensity, colour or phase
- G05D25/02—Control of light, e.g. intensity, colour or phase characterised by the use of electric means
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/20—Forcing-frames; Lights, i.e. glass panels covering the forcing-frames
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention discloses a self-adaption plant cultivation lighting adjustment system based on machine vision. The self-adaption plant cultivation lighting adjustment system comprises an image acquiring module, an image processing and analyzing module and a self-adaption lighting adjustment control module, all of which are sequentially connected. The image acquiring module comprises a CCD industrial camera, a plant cultivation box and an image acquiring card. The image processing and analyzing module comprises an image processing unit and a neural network control unit. The self-adaption lighting adjustment control module comprises an LED driver and an LED panel lamp. The output end of the CCD industrial camera is connected with the input end of an image acquiring card, the CCD industrial camera is installed on the plant cultivation box, the output end of the image acquiring card is connected with the input end of the image processing and analyzing unit, the output end of the neural network control unit is connected with the self-adaption lighting adjustment control module, and the output end of the LED driver is connected with the LED panel lamp. The self-adation plant cultivation lighting adjustment system has the advantages that precision and self-adaption capability of lighting adjustment in plant cultivation are improved.
Description
Technical field
The present invention relates to a kind of plant culturing dimming control system, especially a kind of self-adaptation plant culturing dimming control system based on machine vision, the growing height of plant is measured by the method that this self-adaptation plant culturing dimming control system adopts machine vision to combine with neural network control strategy, the illumination of LED and light matter ratio are carried out adaptive control by the growing height according to plant so that it is be more conducive to the growth of plant.
Background technology
The growth tool of the light intensity and light quality comparison plant of LED has a great impact, and on the one hand, different light intensity has influence on the photosynthesis of plant, and the growth of plant is all had bad impact by too high or too low light intensity, and this just requires to provide suitable light intensity. On the other hand, plant is different to the receptivity of the light of different colours, and plant is very strong to the receptivity of blue light, ruddiness, white light and purple light, and the light absorpting ability of other colors is then more weak, and this just requires to provide suitable light matter ratio. When carrying out plant culturing in plant incubator, LED/light source is generally fixed on above plant, and for the growth of plant provides light intensity and light quality ratio on certain height. But, along with the continuous growth of plant, the height of plant constantly increases, and the distance between plant and LED/light source constantly reduces, and now the demand of light intensity and light quality ratio will be changed by plant. And plant culturing mode known today generally only provides fixing light intensity and light quality ratio, more professional mode is also generally provide corresponding light intensity and light quality ratio according to several growth cycles of plant, in each growth cycle, light intensity and light quality changes than not, and arranging of light intensity and light quality ratio is also mostly by virtue of experience. In sum, dimming control system in plant culturing known today, does not consider the factor that growing process camber changes, and the arranging mostly empirically of light intensity and light quality, lacking accuracy and adaptivity, the growth of plant all can be caused disadvantageous impact by these factors.
Summary of the invention
The deficiency of accuracy and adaptivity is lacked in order to overcome existing plant culturing dimming control system, the present invention provides a kind of self-adaptation plant culturing dimming control system based on machine vision, this self-adaptation plant culturing dimming control system have employed the method that machine vision combines with neural network control and carries out self-adaptation brightness adjustment control, it is achieved light intensity and light quality is than changing with the height adaptive of plant.
The technical solution adopted for the present invention to solve the technical problems can be: a kind of self-adaptation plant culturing dimming control system based on machine vision, comprise: a kind of self-adaptation plant culturing dimming control system based on machine vision, comprise the image capture module connected successively, image processing and analysis module and self-adaptation brightness adjustment control system module, described image capture module comprises CCD industrial camera, plant incubator and image pick-up card, described image processing and analysis module comprises graphics processing unit and ANN (Artificial Neural Network) Control unit, described self-adaptation dimming controlling module comprises LED driver and LED panel lamp, the described output terminal of CCD industrial camera is connected with the input terminus of image pick-up card, described CCD industrial camera is arranged on plant incubator, plant in the alignment lens plant incubator of described CCD industrial camera, the output terminal of described image pick-up card and the input terminus of image processing and analysis unit connect, the output terminal of described ANN (Artificial Neural Network) Control unit and self-adaptation brightness adjustment control system model calling, the output terminal of described LED driver is connected with LED panel lamp, described LED driver is for driving LED panel lamp.
The described self-adaptation plant culturing dimming control system based on machine vision also comprises PWM dimming control unit, described PWM dimming control unit is connected with the input terminus of LED driver, described ANN (Artificial Neural Network) Control unit is connected with the input terminus of PWM dimming control unit, described CCD industrial camera is arranged on the interior side of plant incubator, the plant of the camera lens horizontal positioned of described CCD industrial camera to be directed in plant incubator.
Described LED panel lamp comprises ruddiness paster LED lamp pearl bar, blue light paster LED lamp pearl bar, white light paster LED lamp pearl bar and purple light paster LED lamp pearl bar, and the pwm pulse signal that all each freedom one paths of LEDs driving mechanism of the paster LED lamp pearl bar of often kind of color exports independently drives.
The plant image that described image pick-up card is collected by CCD industrial camera is carried out coordinate conversion, the coordinate of the plant image after conversion is mated mutually with system of coordinates set in image processing and analysis unit, to set up the height coordinate system of plant.
After the coordinate of the plant image after conversion mates mutually with the system of coordinates set by image processing and analysis unit, the plant image gathered by image pick-up card by described image processing and analysis module again processes, calculate the pixel coordinate value of the axis of plant image, and calculate plant pixel number shared in vertical direction by described image processing and analysis module, described image processing and analysis module determines the height of plant by the corresponding relation of pixel and the true altitude of plant, the mean value of last image processing and analysis module calculating plant height obtains the center line average of plant reality.
The light intensity of pwm pulse signal control ruddiness paster LED lamp pearl bar, blue light paster LED lamp pearl bar, white light paster LED lamp pearl bar and purple light paster LED lamp pearl bar that described self-adaptation dimming controlling module is exported by LED driver and light matter ratio.
Described self-adaptation light adjusting system adopts the neural network control strategy trained LED panel lamp to be controlled, it is the data sample based on the plant height obtained in advance, light intensity and light quality ratio from the training of described adaptation Control Strategy with Neural Network, by training, obtain suitable neural network weight, to obtain the corresponding relation of plant height with light intensity and light quality ratio.
Described self-adaptation light adjusting system adopts the neural network control strategy trained LED panel lamp to be controlled, the training of described neural network control strategy is using plant height as input, using light intensity and light quality than as work output, constantly adjust the weights of adaptive neural network network in the training process, the actual required light intensity and light quality obtained through adaptive neural network network calculations as input until plant height than and the error of light intensity and light quality ratio expected in allowed limits till; The light intensity and light quality that described PWM dimming control unit exports according to neural network control unit, than control signal, exports corresponding pwm pulse signal to LED driver, carries out Automatic adjusument with the light intensity and light quality ratio to LED panel lamp.
The technical solution adopted for the present invention to solve the technical problems can also be: a kind of self-adaptation plant culturing dimming control system based on machine vision, comprise: CCD industrial camera, image pick-up card, image processing and analysis module, PWM dimming control unit, LED driver and LED panel lamp are linked in sequence and form a complete Controlling System, a CCD industrial camera is arranged on the interior side of plant incubator, camera lens horizontal positioned, the visual field area of camera lens and resolving power directly can obtain from producer, thus true altitude representated by each pixel in the image of known shooting. LED panel lamp is made up of ruddiness, Lan Guang, white light and purple light four look paster LED lamp pearl bar, PWM dimming control unit has multi-channel PWM pulse output end mouth, LED driver has the pwm pulse signal input port of identical way, for receiving pwm pulse signal. on this basis, image capture module adopts an image pick-up card, the image of plant is taken by CCD industrial camera, image comprises the clear image of several plants, image processing and analysis module by carrying out the Image semantic classification such as filtering, two value changes to image, recycling edge detection algorithm obtains the edge profile of plant, due to plant image, there is certain width and shape irregular, therefore using the coordinate figure of the non-zero pixels of the vertex of the axis of plant image as the height of plant in plant image. recycle a standard image template, using the non-zero pixels coordinate figure of this standard image template in the system of coordinates set by image processing and analysis unit as with reference to and measure the pixel coordinate value obtained and contrast, calculate the actual height of each plant, in order to obtain a more reasonably height value, system adopts the average height value of plant as final plant height value. self-adaptation dimming controlling module adopts neural network control strategy to carry out brightness adjustment control, neural network control strategy adopts BP neural network, input layer comprises a neurone, output layer comprises four neurones, in order to take into account control accuracy and pace of learning, hidden layer neuron number is set to four. first adopt height and the data sample training of light intensity, light matter ratio of the plant obtained in advance, neural network weight is adjusted to suitable value. after having trained, the plant height value obtained is as input, the light intensity and light quality that the work output of neural network is four look paster LED lamp pearl bars compares control signal, PWM dimming control unit exports corresponding pwm pulse signal according to pwm pulse control signal, realizes the adaptive control of the light intensity and light quality ratio to four look paster LED lamp pearl bars by changing the dutycycle of each road pwm pulse signal.
The present invention has following advantage and useful effect relative to prior art: the present invention is by the height of machine vision metrology plant, and adopt neural network control strategy, the light intensity and light quality ratio of the growing height self-adaptative adjustment LED according to plant, it is to increase the accurate degree of light modulation in plant culturing and adaptive ability.
Accompanying drawing explanation
Fig. 1 is the system architecture figure of the present invention.
Fig. 2 is the system schematic of the present invention; In figure, 1 expression incubator; 2 expression culture tanks; 3 expression LED panel lamp; 4 expression CCD industrial cameras; 5 expression image pick-up cards; 6 expression image processing and analysis modules; 7 expression LED drivers.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
Embodiment
As shown in Figure 1, a kind of self-adaptation plant culturing dimming control system based on machine vision, comprise: image capture module, image processing and analysis module and self-adaptation dimming controlling module, wherein, image capture module comprises a CCD industrial camera, a plant incubator and an image pick-up card, image processing and analysis module comprises image processing and analysis unit and ANN (Artificial Neural Network) Control unit. Self-adaptation dimming controlling module comprises self-adaptation dimming control unit, LED driver and LED panel lamp. Described dimming controlling module arranges pwm pulse output port, by changing the light intensity and light quality ratio of the Duty ratio control LED panel lamp of pwm pulse signal.
As shown in Figure 2, on plant incubator 1 is, the structure of lower two layers, upper vertical is provided with LED panel lamp 3 downwards, culture tank 2 is placed by lower floor, cultivation one row one avenue system thing in culture tank, LED panel lamp 3 is by ruddiness, Lan Guang, white light and purple light four look paster LED lamp pearl bar are formed, CCD industrial camera 4 is arranged on the interior side of plant incubator 1, camera lens keeps level, CCD industrial camera 4 is connected with image pick-up card 5, image pick-up card 5 is by CCD industrial camera 4 herborization image, the view data output terminal of image pick-up card 5 is connected with the image data input of image processing and analysis module 6, view data is sent to image processing and analysis module 6 and carries out processing and analyzing, then the plant height data recorded are sent to the ANN (Artificial Neural Network) Control unit output intensity of image processing and analysis module 6 as input and light matter compares control signal, finally export pwm pulse signal to LED driver 7 by PWM dimming control unit according to control signal, LED panel lamp 3 is driven to produce required light intensity and light quality ratio by LED driver 7.
Above-described embodiment is that the present invention preferably implements mode; but embodiments of the present invention are not restricted to the described embodiments; the change done under the spirit of other any the present invention of not deviating from and principle, modification, replacement, combination, simplification; all should be the substitute mode of equivalence, it is included within protection scope of the present invention.
Claims (8)
1. the self-adaptation plant culturing dimming control system based on machine vision, comprise the image capture module connected successively, image processing and analysis module and self-adaptation brightness adjustment control system module, described image capture module comprises CCD industrial camera, plant incubator and image pick-up card, described image processing and analysis module comprises graphics processing unit and ANN (Artificial Neural Network) Control unit, described self-adaptation dimming controlling module comprises LED driver and LED panel lamp, it is characterized in that, the described output terminal of CCD industrial camera is connected with the input terminus of image pick-up card, described CCD industrial camera is arranged on plant incubator, plant in the alignment lens plant incubator of described CCD industrial camera, the output terminal of described image pick-up card and the input terminus of image processing and analysis unit connect, the output terminal of described ANN (Artificial Neural Network) Control unit and self-adaptation brightness adjustment control system model calling, the output terminal of described LED driver is connected with LED panel lamp, described LED driver is for driving LED panel lamp.
2. the self-adaptation plant culturing dimming control system based on machine vision according to claim 1, it is characterized in that, the described self-adaptation plant culturing dimming control system based on machine vision also comprises PWM dimming control unit, described PWM dimming control unit is connected with the input terminus of LED driver, described ANN (Artificial Neural Network) Control unit is connected with the input terminus of PWM dimming control unit, described CCD industrial camera is arranged on the interior side of plant incubator, the plant of the camera lens horizontal positioned of described CCD industrial camera to be directed in plant incubator.
3. the self-adaptation plant culturing dimming control system based on machine vision according to claim 1, it is characterized in that, described LED panel lamp comprises ruddiness paster LED lamp pearl bar, blue light paster LED lamp pearl bar, white light paster LED lamp pearl bar and purple light paster LED lamp pearl bar, and the pwm pulse signal that all each freedom one paths of LEDs driving mechanism of the paster LED lamp pearl bar of often kind of color exports independently drives.
4. the self-adaptation plant culturing dimming control system based on machine vision according to claim 1, it is characterized in that, the plant image that described image pick-up card is collected by CCD industrial camera is carried out coordinate conversion, the coordinate of the plant image after conversion is mated mutually, to set up the height coordinate system of plant with system of coordinates set in image processing and analysis unit.
5. the self-adaptation plant culturing dimming control system based on machine vision according to claim 4, it is characterized in that, after the coordinate of the plant image after conversion mates mutually with the system of coordinates set by image processing and analysis unit, the plant image gathered by image pick-up card by described image processing and analysis module again processes, calculate the pixel coordinate value of the axis of plant image, and calculate plant pixel number shared in vertical direction by described image processing and analysis module, described image processing and analysis module determines the height of plant by the corresponding relation of pixel and the true altitude of plant, the mean value of last image processing and analysis module calculating plant height obtains the center line average of plant reality.
6. the self-adaptation plant culturing dimming control system based on machine vision according to claim 3, it is characterized in that, the light intensity of pwm pulse signal control ruddiness paster LED lamp pearl bar, blue light paster LED lamp pearl bar, white light paster LED lamp pearl bar and purple light paster LED lamp pearl bar that described self-adaptation dimming controlling module is exported by LED driver and light matter ratio.
7. the self-adaptation plant culturing dimming control system based on machine vision according to claim 1, it is characterized in that, described self-adaptation light adjusting system adopts the neural network control strategy trained LED panel lamp to be controlled, it is the data sample based on the plant height obtained in advance, light intensity and light quality ratio from the training of described adaptation Control Strategy with Neural Network, by training, obtain suitable neural network weight, to obtain the corresponding relation of plant height with light intensity and light quality ratio.
8. the self-adaptation plant culturing dimming control system based on machine vision according to claim 7, it is characterized in that, described self-adaptation light adjusting system adopts the neural network control strategy trained LED panel lamp to be controlled, the training of described neural network control strategy is using plant height as input, using light intensity and light quality than as work output, constantly adjust the weights of adaptive neural network network in the training process, the actual required light intensity and light quality obtained through adaptive neural network network calculations as input until plant height than and the error of light intensity and light quality ratio expected in allowed limits till,The light intensity and light quality that described PWM dimming control unit exports according to neural network control unit, than control signal, exports corresponding pwm pulse signal to LED driver, carries out Automatic adjusument with the light intensity and light quality ratio to LED panel lamp.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610165585.1A CN105652923B (en) | 2016-03-22 | 2016-03-22 | A kind of adaptive plant culture dimming control system based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610165585.1A CN105652923B (en) | 2016-03-22 | 2016-03-22 | A kind of adaptive plant culture dimming control system based on machine vision |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105652923A true CN105652923A (en) | 2016-06-08 |
| CN105652923B CN105652923B (en) | 2017-11-07 |
Family
ID=56495272
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610165585.1A Active CN105652923B (en) | 2016-03-22 | 2016-03-22 | A kind of adaptive plant culture dimming control system based on machine vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105652923B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106255259A (en) * | 2016-07-26 | 2016-12-21 | 浙江大学 | A kind of inverse-excitation type LED drive circuit based on BP neuron network PI controller control method |
| CN109613947A (en) * | 2018-11-15 | 2019-04-12 | 西北农林科技大学 | A kind of embedded facility luminous environment Optimum Regulation system merging illumination frequency and duty ratio |
| CN111741558A (en) * | 2020-07-23 | 2020-10-02 | 浙江工业大学之江学院 | LED plant illumination driving device based on neural network |
| CN112512173A (en) * | 2020-12-29 | 2021-03-16 | 广东技术师范大学 | Implementation device and method with artificial intelligence strawberry lamp |
| CN114993243A (en) * | 2022-08-04 | 2022-09-02 | 深圳粤讯通信科技有限公司 | Antenna attitude monitoring and early warning system based on Internet of things |
| CN117015101A (en) * | 2023-08-18 | 2023-11-07 | 广州保呗科技有限公司 | Self-adaptive dimming system and control method thereof |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| NL1031466C2 (en) * | 2006-03-30 | 2007-10-03 | Pll Systems B V | Greenhouse lighting, has individual lights regulated by control device according to photosynthesis efficiency determined by sensor system |
| CN101776253A (en) * | 2009-01-09 | 2010-07-14 | 东部高科股份有限公司 | Illumination apparatus and driving method thereof |
| WO2013148254A1 (en) * | 2012-03-30 | 2013-10-03 | Dow Agrosciences Llc | Lighting system |
| CN203982174U (en) * | 2014-07-25 | 2014-12-03 | 国麒光电科技（天津）有限公司 | A kind of chamber crop growing environment information detects and intelligent control system |
| CN104661514A (en) * | 2012-10-08 | 2015-05-27 | 青岛裕洋电子有限公司 | System and method for cultivating plant using led lighting, led lighting device for plant cultivation and method for driving said device |
-
2016
- 2016-03-22 CN CN201610165585.1A patent/CN105652923B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| NL1031466C2 (en) * | 2006-03-30 | 2007-10-03 | Pll Systems B V | Greenhouse lighting, has individual lights regulated by control device according to photosynthesis efficiency determined by sensor system |
| CN101776253A (en) * | 2009-01-09 | 2010-07-14 | 东部高科股份有限公司 | Illumination apparatus and driving method thereof |
| WO2013148254A1 (en) * | 2012-03-30 | 2013-10-03 | Dow Agrosciences Llc | Lighting system |
| CN104661514A (en) * | 2012-10-08 | 2015-05-27 | 青岛裕洋电子有限公司 | System and method for cultivating plant using led lighting, led lighting device for plant cultivation and method for driving said device |
| CN203982174U (en) * | 2014-07-25 | 2014-12-03 | 国麒光电科技（天津）有限公司 | A kind of chamber crop growing environment information detects and intelligent control system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106255259A (en) * | 2016-07-26 | 2016-12-21 | 浙江大学 | A kind of inverse-excitation type LED drive circuit based on BP neuron network PI controller control method |
| CN106255259B (en) * | 2016-07-26 | 2018-05-01 | 浙江大学 | A kind of inverse-excitation type LED drive circuit based on BP neural network PI control methods |
| CN109613947A (en) * | 2018-11-15 | 2019-04-12 | 西北农林科技大学 | A kind of embedded facility luminous environment Optimum Regulation system merging illumination frequency and duty ratio |
| CN109613947B (en) * | 2018-11-15 | 2020-12-15 | 西北农林科技大学 | Embedded facility light environment optimization regulation and control system integrating illumination frequency and duty ratio |
| CN111741558A (en) * | 2020-07-23 | 2020-10-02 | 浙江工业大学之江学院 | LED plant illumination driving device based on neural network |
| CN111741558B (en) * | 2020-07-23 | 2023-05-23 | 浙江工业大学之江学院 | LED plant illumination driving device based on neural network |
| CN112512173A (en) * | 2020-12-29 | 2021-03-16 | 广东技术师范大学 | Implementation device and method with artificial intelligence strawberry lamp |
| CN112512173B (en) * | 2020-12-29 | 2023-01-17 | 广东技术师范大学 | Implementation device and method with artificial intelligence strawberry lamp |
| CN114993243A (en) * | 2022-08-04 | 2022-09-02 | 深圳粤讯通信科技有限公司 | Antenna attitude monitoring and early warning system based on Internet of things |
| CN117015101A (en) * | 2023-08-18 | 2023-11-07 | 广州保呗科技有限公司 | Self-adaptive dimming system and control method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105652923B (en) | 2017-11-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105652923A (en) | Self-adaption plant cultivation lighting adjustment system based on machine vision | |
| CN205620835U (en) | Dimming control system is cultivateed to self -adaptation plant based on machine vision | |
| CN103841726B (en) | The real-time adjusting device of light-source brightness and method of adjustment thereof in pole piece defects detection | |
| CN107860366B (en) | Mobile greenhouse crop information measurement and diagnosis system | |
| CN107223454A (en) | A kind of apparatus and method of the asparagus different growing stages Intelligent supplemental lighting based on convolutional neural networks | |
| CN107944504B (en) | Board recognition and machine learning method and device for board recognition and electronic equipment | |
| CN101498605A (en) | Tunable multispectral vision detection light source | |
| CN110261390A (en) | A kind of the surface defect Systems for optical inspection and method of diffusing reflection structure light | |
| CN102608130A (en) | Smart card stain detecting system based on image feature matching technology and detection and detecting method | |
| CN101996585A (en) | RGB three primary colours LED backlight based automatic white balance adjustment system and method thereof | |
| CN105403989B (en) | Nematode identifying system and nematode recognition methods | |
| CN209359084U (en) | A kind of Intelligent plant growth spectrum development device | |
| CN108601154B (en) | Permanent illumination indoor lighting controller based on camera and depth camera | |
| CN213718857U (en) | Novel interplant light filling system | |
| CN100441063C (en) | Lighting source device of adaptive regulating light-intensity in machine visual measuring system | |
| CN103499313B (en) | A kind of Plug seedling detection system and method | |
| CN108124337A (en) | A kind of SCM Based LED plant light compensations system | |
| CN111721507B (en) | Intelligent detection method and device for keyboard backlight module based on polar coordinate identification | |
| CN109374637A (en) | A kind of automobile panel Surface Quality Inspection System and method | |
| CN211607481U (en) | Intelligent greenhouse light supplementing execution device | |
| CN109937734A (en) | Intelligent plant growth lighting device and working method thereof | |
| CN206542850U (en) | A kind of automatic cake device based on binocular ranging | |
| CN114208595A (en) | Flammulina velutipes culture system | |
| CN115665917A (en) | LED eye-protecting lamp light intensity calculation method for simulating classroom illumination | |
| CN109618711A (en) | A kind of container plant factor cultivation device and its luminous environment regulate and control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20211103 Address after: 528000 Shunjiang Neighborhood Committee Industrial Park, Beijiao Town, Foshan City, Guangdong Province Patentee after: GUANGDONG NATIONAL BOWLDER TECHNOLOGY CO.,LTD. Address before: 510640 No. five, 381 mountain road, Guangzhou, Guangdong, Tianhe District Patentee before: SOUTH CHINA University OF TECHNOLOGY |
|
| CP02 | Change in the address of a patent holder | ||
| CP02 | Change in the address of a patent holder |
Address after: 528000 floor 1, building 5, Qide real estate Park, No. 2, Xingye East Road, Shunjiang Neighborhood Committee Industrial Park, Beijiao Town, Foshan City, Guangdong Province Patentee after: GUANGDONG NATIONAL BOWLDER TECHNOLOGY CO.,LTD. Address before: 528000 Shunjiang Neighborhood Committee Industrial Park, Beijiao Town, Foshan City, Guangdong Province Patentee before: GUANGDONG NATIONAL BOWLDER TECHNOLOGY CO.,LTD. |
|
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: 528311 1st floor, building 5, Qide real estate Park, No.2, Xingye East Road, Shunjiang Neighborhood Committee Industrial Park, Beijiao Town, Shunde District, Foshan City, Guangdong Province Patentee after: Guangdong Guoyu Technology Co.,Ltd. Address before: 528000 floor 1, building 5, Qide real estate Park, No. 2, Xingye East Road, Shunjiang Neighborhood Committee Industrial Park, Beijiao Town, Foshan City, Guangdong Province Patentee before: GUANGDONG NATIONAL BOWLDER TECHNOLOGY CO.,LTD. |