CN109324509A - Information Regulating method, apparatus and system - Google Patents
Information Regulating method, apparatus and system Download PDFInfo
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- CN109324509A CN109324509A CN201811058102.3A CN201811058102A CN109324509A CN 109324509 A CN109324509 A CN 109324509A CN 201811058102 A CN201811058102 A CN 201811058102A CN 109324509 A CN109324509 A CN 109324509A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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Abstract
The embodiment of the invention discloses a kind of Information Regulating methods, this method comprises: passing through the growth image of EO-1 hyperion camera herborization；Based on artificial nerve network model, the growth image is identified, the recognition result of the plant is obtained；If the recognition result shows that lesion occurs for the plant, the growth element of the plant is regulated and controled.The embodiment of the present invention can early find whether inside plants occur lesion, to regulate and control in time to the growth element of plant in the best opportunity.
Description
Technical field
The present invention relates to technical field of intelligent equipment more particularly to a kind of Information Regulating method, apparatus and system.
Background technique
With agrotechnical development, more and more industrial crops and gourd, fruit and vegetable enter indoor plantation, interior kind
Plant realize three-dimensional, centralization, growing environment it is controllable.
Currently, in the growth course of plant, it usually can be by way of the imaging of artificial or general camera come to plant
It is detected, to find whether the growth situation of plant goes wrong.
However, being found in practice, due to artificial detection or general camera image checking, can only be differentiated by the appearance of plant
Whether plant has occurred and that lesion out, is in this way usually in pathological changes of plant than more serious, or even the ability after pathological changes of plant expansion
It finds the problem, this has largely lost the best opportunity treated to pathological changes of plant.
Therefore, whether the mode detected in the prior art for the growth situation of plant early can not find plant
Lesion occurs, to lose the best opportunity treated to pathological changes of plant.
Summary of the invention
Based on this, the mode to solve to be detected for the growth situation of plant in the prior art can not early be found
The technical issues of whether plant occurs lesion and lose the best opportunity treated to pathological changes of plant, spy proposes a kind of letter
Cease regulation method.
A kind of Information Regulating method, comprising:
Pass through the growth image of EO-1 hyperion camera herborization；
Based on artificial nerve network model, the growth image is identified, the recognition result of the plant is obtained；
If the recognition result shows that lesion occurs for the plant, the growth element of the plant is regulated and controled；
Wherein, the growth element of the plant is in the state of real time monitoring.
It is described in one of the embodiments, to be based on artificial nerve network model, the growth image is identified, is obtained
The recognition result of the plant includes:
The growth image is input to preparatory trained artificial nerve network model；
Classified by the artificial nerve network model to the growth image, obtains the identification knot of the plant
Fruit.
If the recognition result shows that lesion occurs for the plant in one of the embodiments, to the plant
Growth element carries out regulation
If the recognition result shows that lesion occurs for the plant, it is determined that the type of the lesion；
According to the type of the lesion, the growth element of the plant is regulated and controled.
In one of the embodiments, the method also includes:
Monitor the growth element of the plant；
Judge whether the growth element of the plant is in the range of standard value；
If the growth element of the plant is not in the range of standard value, execution is described to be adopted by EO-1 hyperion camera
The step of collecting the growth image of plant.
In addition, can not early find to plant for the mode for solving to be detected for the growth situation of plant in the prior art
The technical issues of whether object occurs lesion and lose the best opportunity treated to pathological changes of plant, spy proposes a kind of information
Regulation device.
A kind of Information Regulating device, comprising:
Acquisition module, for passing through the growth image of EO-1 hyperion camera herborization；
Identification module identifies the growth image, obtains the plant for being based on artificial nerve network model
Recognition result；
Regulate and control module, if showing that lesion occurs for the plant for the recognition result, the growth of the plant is wanted
Element is regulated and controled；
Wherein, the growth element of the plant is in the state of real time monitoring.
In one of the embodiments, the identification module be based on artificial nerve network model, to the growth image into
Row identification, the recognition result for obtaining the plant include:
The growth image is input to preparatory trained artificial nerve network model；
Classified by the artificial nerve network model to the growth image, obtains the identification knot of the plant
Fruit.
If the recognition result shows that lesion, the regulation module pair occur for the plant in one of the embodiments,
The growth element of the plant carries out regulation
If the recognition result shows that lesion occurs for the plant, it is determined that the type of the lesion；
According to the type of the lesion, the growth element of the plant is regulated and controled.
The Information Regulating device in one of the embodiments, further include:
Monitoring modular, for monitoring the growth element of the plant；
Judgment module, for judging whether the growth element of the plant is in the range of standard value；
Acquisition module, if judging that the growth element of the plant is not at the model of standard value specifically for the judgment module
In enclosing, pass through the growth image of EO-1 hyperion camera herborization.
In addition, can not early find to plant for the mode for solving to be detected for the growth situation of plant in the prior art
The technical issues of whether object occurs lesion and lose the best opportunity treated to pathological changes of plant, spy proposes a kind of control
Equipment.
A kind of control equipment, the control equipment include processor and memory, and the processor executes the memory
The computer program of storage is to realize the Information Regulating method.
In addition, can not early find to plant for the mode for solving to be detected for the growth situation of plant in the prior art
The technical issues of whether object occurs lesion and lose the best opportunity treated to pathological changes of plant, spy proposes a kind of information
Control system.
A kind of management information system, the management information system include EO-1 hyperion camera, control equipment, spectrometer, light filling
Device and sensor, wherein
The EO-1 hyperion camera is sent to the control for the growth image of herborization, and by the growth image
Equipment；
The control equipment identifies the growth image, described in acquisition for being based on artificial nerve network model
The recognition result of plant；
The spectrometer, the spectral information received for detecting the plant；
The control equipment, is also used to according to the spectral information, is mended by the light compensating apparatus to the plant
Light；
The sensor, for acquiring the environmental information of the plant；
The control equipment is believed if being also used to the recognition result shows that lesion occurs for the plant according to the environment
Breath, regulates and controls the growth element of the plant.
Implement the embodiment of the present invention, will have the following beneficial effects:
After above- mentioned information regulation method, apparatus, equipment and system, EO-1 hyperion camera herborization can be passed through
Growth image, wherein the growth image can not only show the resemblance of plant, can also show inside plants
Upgrowth situation information identifies the growth image it is possible to further be based on artificial nerve network model, obtains institute
State the recognition result of plant, wherein the recognition result may indicate that whether plant occurs lesion, if the recognition result shows institute
State plant occur lesion, then can the growth element to the plant regulate and control.As it can be seen that this mode can pass through plant
High light spectrum image-forming information, and analyzed by artificial nerve network model, early find whether inside plants occur lesion,
To regulate and control in time to the growth element of plant in the best opportunity.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of management information system disclosed in one embodiment；
Fig. 2 is a kind of flow diagram of Information Regulating method disclosed in one embodiment；
Fig. 3 is a kind of schematic diagram of EO-1 hyperion camera imaging disclosed in one embodiment；
Fig. 4 is a kind of signal that artificial nerve network model identifies vegetation growth state disclosed in one embodiment
Figure；
Fig. 5 is the flow diagram of another kind Information Regulating method disclosed in one embodiment；
Fig. 6 is a kind of structural schematic diagram of Information Regulating device disclosed in one embodiment.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, shall fall within the protection scope of the present invention.
It should be noted that term " includes " and " tool in description and claims of this specification and above-mentioned attached drawing
Have " and their any deformations, it is intended that it covers and non-exclusive includes.Such as contain the mistake of a series of steps or units
Journey, method, system, product or equipment are not limited to listed step or unit, but optionally further comprising do not list
The step of or unit, or optionally further comprising other step or units intrinsic for these process, methods, product or equipment.
The embodiment of the invention discloses a kind of Information Regulating method, apparatus and system, can by the EO-1 hyperion of plant at
It as information, and is analyzed by artificial nerve network model, early finds whether inside plants occur lesion, so as to most
Good opportunity in time regulates and controls the growth element of plant.Attached drawing is combined below to be described in detail.
Referring to Fig. 1, Fig. 1 is a kind of schematic diagram of management information system disclosed in one embodiment.
As shown in Figure 1, the management information system may include: control equipment, EO-1 hyperion camera 11, spectrometer 12, light filling
Device 13 and sensor 14.In addition, management information system shown in FIG. 1 can also include track-type facilities and trolley etc..It needs
It is noted that management information system shown in FIG. 1 can include but is not limited to component shown in FIG. 1, it can also include other
Component, such as power-supply device etc..
Wherein, control equipment can include but is not limited to smart phone, laptop, personal computer (Personal
Computer, PC), personal digital assistant (Personal Digital Assistant, PDA), mobile internet device
Each class of electronic devices such as (Mobile Internet Device, MID), wherein the operating system of the control equipment may include but
It is not limited to Android operation system, IOS operating system, Symbian (Saipan) operating system, Black Berry (blackberry, blueberry) operation
System, Windows Phone8 operating system etc., the embodiment of the present invention is without limitation.
Wherein, EO-1 hyperion camera 11 can continuously acquire image, high spectrum image within the scope of very wide spectral band
There is higher spectral resolution than multispectral image, usual precision can reach 2~3nm.High light spectrum image-forming is as a kind of novel
Imaging technique, the basic principle is that, the surface of different substances has difference to the spectrum (or electromagnetic wave) of different-waveband
Reflectivity and refractive index.Based on this, the more characteristic informations of object to be measured can be obtained according to different reflection spectrum images.?
During imaging, the wave band of spectrum is got thinner, and obtained material property is more, can reflect from different characteristic angles
Object features situation.Therefore, high light spectrum image-forming can sufficiently reflect the slight change of plant spectral information.
Wherein, the spectral information that spectrometer 12 can be received with herborization regulates and controls light compensating apparatus for management information system
Foundation is provided.
Wherein, light compensating apparatus 13 is mainly made of multiple plant light compensation lamps and lanterns, is mainly used for as plant light compensation.The plant is mended
Light lamps and lanterns are usually LED lamp, and the LED light source that LED lamp issues low, energy-saving and environmental protection with heat production, the service life is long, and spectrum is adjustable
The features such as section, and arbitrary proportion allotment may be implemented in the RGBW (red, green, blue and white) in LED light source, plants so that specific spectrum meets
The lighting requirements in object a certain period.
Wherein, sensor 14 can include but is not limited to temperature sensor, humidity sensor and gas sensor, mainly
For measuring environmental information of plant local environment, such as temperature, humidity, smell etc..
In Fig. 1, EO-1 hyperion camera 11 is mounted on the trolley of track-type facilities by holder, and trolley passes through pulley and guide rail
Connection, EO-1 hyperion camera 11 can carry out omnibearing imaging to houseplant；Spectrometer 12 and sensor 14 with control equipment
Connection, the information (such as spectral information, temperature/humidity information) that spectrometer 12 and sensor 14 can will acquire are sent to control
Control equipment, control equipment can regulate and control according to growth element of the information received to plant, for example pass through light compensating apparatus
13 carry out light filling to plant.
Specifically, the EO-1 hyperion camera 11, is sent to for the growth image of herborization, and by the growth image
The control equipment；The control equipment identifies the growth image, obtains for being based on artificial nerve network model
Obtain the recognition result of the plant；The spectrometer 12, the spectral information received for detecting the plant；The control is set
It is standby, it is also used to according to the spectral information, light filling is carried out to the plant by the light compensating apparatus 13；The sensor 14,
For acquiring the environmental information of the plant；The control equipment, if being also used to the recognition result shows that the plant occurs
Lesion regulates and controls the growth element of the plant according to the environmental information.
In application scenes, management information system described in Fig. 1, control equipment can pass through EO-1 hyperion camera 11
The growth image of herborization, wherein the growth image can not only show the resemblance of plant, can also show plant
Upgrowth situation information inside object knows the growth image it is possible to further be based on artificial nerve network model
Not, the recognition result of the plant is obtained, wherein the recognition result may indicate that whether plant occurs lesion, if the identification
The result shows that lesion occurs for the plant, then can the growth element to the plant regulate and control.As it can be seen that this mode can be with
It by the high light spectrum image-forming information of plant, and is analyzed by artificial nerve network model, early finds that inside plants are
No generation lesion, to regulate and control in time to the growth element of plant in the best opportunity.
Wherein, the result of analysis identification can be sent to cloud database by control equipment, be carried out by cloud big data
Analysis and processing, to determine whether the scheme regulated and controled to plant growth element is appropriate effectively.
In application scenes, management information system described in Fig. 1 can also be applied to family's plant illumination device
On, to the plant under the environment of illumination deficiency, carry out intelligent Illumination adjusting.
In application scenes, management information system described in Fig. 1 can also be carried to hand-held portable devices (such as intelligence
Energy mobile phone, Intelligent bracelet etc.) on, it is applied in sales field (such as supermarket, fruit market), whether diagnosis veterinary antibiotics generate lesion,
And be not suitable for people and eat, this plays the function of food safety monitoring to a certain extent.
Referring to Fig. 2, Fig. 2 is a kind of flow diagram of Information Regulating method disclosed in one embodiment.Such as Fig. 2 institute
Show, which may comprise steps of:
Step S201, control equipment passes through the growth image of EO-1 hyperion camera herborization.
In the embodiment of the present invention, the growth image of EO-1 hyperion camera plant collected can not only show outside plant
The feature of shape, and the upgrowth situation information of inside plants can be imaged out, if the chlorophyll content of leaf changes, initial stage lesion
Deng the growth information of plant rapidly and efficiently can be fed back to control equipment by this.
Please also refer to Fig. 3, Fig. 3 is a kind of schematic diagram of EO-1 hyperion camera imaging disclosed in one embodiment.Such as Fig. 3 institute
Showing, EO-1 hyperion camera can be imaged multiple growth conditions of each growth phase of plant, high spectrum image sequence is constituted,
For example fruit image sequence, flower image sequence and leaf image sequence can be observed preferably by these image sequences
The slight change of different times plant growth state, early to find whether the inside of plant occurs lesion.
Step S202, it is based on artificial nerve network model, control equipment identifies the growth image, described in acquisition
The recognition result of plant.
Specifically, described be based on artificial nerve network model, the growth image is identified, the plant is obtained
Recognition result includes:
The growth image is input to preparatory trained artificial nerve network model；
Classified by the artificial nerve network model to the growth image, obtains the identification knot of the plant
Fruit.
In the embodiment of the present invention, using vegetation growth state and lesion based on artificial nerve network model training and
Recognizer is acquired a variety of different vegetation growth states and lesion image is trained and identifies, passed through by deep neural network
Study repeatedly is crossed, can accurately judge the upgrowth situation and lesion type of plant.Such as: in advance according to different plant samples
This acquires the image of 100 pairs or more respectively, wherein these images are able to reflect the upgrowth situation or lesion of plant, utilize depth
Neural network carries out classification based training to these images, can obtain optimal artificial nerve network model.These artificial neural network
Network model, which can make pathological changes of plant, accurately to be judged.In identification, it is only necessary to it inputs high spectrum image and carries out classification and Detection,
It is obtained with the recognition result of the plant, the recognition result such as blade is good, blade is partially yellow, blade is less than normal and insect pest
Deng.
Please also refer to Fig. 4, Fig. 4 is a kind of artificial nerve network model disclosed in one embodiment to vegetation growth state
The schematic diagram identified.As shown in figure 4, leaf image formed by EO-1 hyperion camera is inputted trained artificial neuron in advance
Network model, by the classification and Detection of artificial nerve network model, so that it may output result (i.e. recognition result) is obtained, it is such as good
Good, partially yellow, less than normal and insect pest etc., the rectangle in Fig. 4 indicates probability shared by each output result, figure 4, it is seen that
In general, the good probability of blade is larger, and the damaged by vermin probability of blade is smaller.
If step S203, the described recognition result shows that lesion occurs for the plant, growth of the equipment to the plant is controlled
Element is regulated and controled.
Wherein, the growth element of the plant is in the state of real time monitoring, and the regulation of growth element can be improved in this way
Opportunity, in order to avoid generate the thickness of overcompensation and plant is made to enter another lesion.
If specifically, the recognition result shows that lesion occurs for the plant, to the growth element of the plant
Carrying out regulation includes:
If the recognition result shows that lesion occurs for the plant, it is determined that the type of the lesion；
According to the type of the lesion, the growth element of the plant is regulated and controled.
Wherein, usually there are many lesion types, such as color changing type for plant generation lesion, and being usually expressed as blade is pale green
Color, yellow even white, for another example wilting type, usual plant performance is desiccation, for another example necrotic type, usual plant performance
For rotten, ulcer and spot etc..
Wherein, the growth element of the plant can include but is not limited to nutrient, moisture, illumination, temperature and wet
Degree.
In the embodiment of the present invention, equipment is controlled after the type for determining the lesion, so that it may according to the lesion
Type regulates and controls the growth element of the plant.Such as: it is that (such as blade becomes color changing type in the type for determining pathological changes of plant
It is yellow) after, it can control light compensating apparatus and light filling carried out to plant.
Wherein, implement method described in Fig. 2, the growth image of EO-1 hyperion camera herborization can be passed through, wherein should
Growth image can not only show the resemblance of plant, the upgrowth situation information of inside plants can also be showed, into one
Step ground can be based on artificial nerve network model, identify to the growth image, obtain the recognition result of the plant,
Wherein, which may indicate that whether plant occurs lesion, if the recognition result shows that lesion occurs for the plant,
Can the growth element to the plant regulate and control.As it can be seen that this mode can by the high light spectrum image-forming information of plant, and
Analyzed by artificial nerve network model, early find whether inside plants occur lesion, so as in the best opportunity and
When the growth element of plant is regulated and controled.
Referring to Fig. 5, Fig. 5 is the flow diagram of another kind Information Regulating method disclosed in one embodiment.Such as Fig. 5 institute
Show, which may comprise steps of:
The growth element of plant described in S501, control equipment monitoring.
Wherein, the growth element of the plant can include but is not limited to nutrient, moisture, illumination, temperature and wet
Degree.
In the embodiment of the present invention, control equipment can detect the growth element of plant by various kinds of sensors, such as can
It is whether sufficient with the illumination for monitoring plant by optical sensor, the temperature of plant can be for another example detected by temperature sensor
Degree if appropriate for.
S502, control equipment judge whether the growth element of the plant is in the range of standard value, if it is not, executing step
Rapid S503, if so, terminating this process.
In the embodiment of the present invention, the growth element required for each growth phase of plant, plant has a standard
Value, only complies with standard the needs that the growth element within the scope of value is just able to satisfy plant normal growth.Such as: capsicum class plant goes out
The preference temperature scope of sprouting stage is 25~30 DEG C, and in preference temperature scope, capsicum class plant can normally sprout, otherwise, temperature
Spending height then influences its bud differentiation, and too low then slow growth is unfavorable for capsicum class plant normal growth.
S503, control equipment pass through the growth image of EO-1 hyperion camera herborization.
In the embodiment of the present invention, equipment is controlled in the range of the growth element for judging the plant is not at standard value
When, then show that the growth of plant is possible to go wrong, in order to further confirm that, control equipment can be adopted by EO-1 hyperion camera
Collect the growth image of plant, and analysis identification is carried out by the growth image of plant.
S504, it is based on artificial nerve network model, control equipment identifies the growth image, obtains the plant
Recognition result.
If S505, the recognition result show that lesion, growth element of the control equipment to the plant occur for the plant
Regulated and controled.
In the method flow described in Fig. 5, whether the growth element that plant can be monitored in real time is at a normal level, if
It is no, can be by the growth image of EO-1 hyperion camera herborization, it, can be to the life of plant to judge whether plant occurs lesion
Long situation and growth element carry out bidirectional monitoring, so as to better ensure that plant grows fine.
Referring to Fig. 6, Fig. 6 is a kind of structural schematic diagram of Information Regulating device disclosed in one embodiment.Such as Fig. 6 institute
Show, wherein Information Regulating device described in Fig. 6 can be used for executing the portion in Information Regulating method described in Fig. 2 or Fig. 5
Point or Overall Steps, specifically refer to the associated description in Fig. 2 or Fig. 5, details are not described herein.As shown in fig. 6, the Information Regulating
Device may include:
Acquisition module 601, for passing through the growth image of EO-1 hyperion camera herborization；
Identification module 602 identifies the growth image, described in acquisition for being based on artificial nerve network model
The recognition result of plant；
Regulate and control module 603, if showing the growth that lesion occurs for the plant, to the plant for the recognition result
Element is regulated and controled.
As an alternative embodiment, the identification module 602 is based on artificial nerve network model, to the growth
Image is identified that the recognition result for obtaining the plant includes:
The growth image is input to preparatory trained artificial nerve network model；
Classified by the artificial nerve network model to the growth image, obtains the identification knot of the plant
Fruit.
As an alternative embodiment, if the recognition result shows that lesion, the regulation mould occur for the plant
Block 603 carries out regulation to the growth element of the plant
If the recognition result shows that lesion occurs for the plant, it is determined that the type of the lesion；
According to the type of the lesion, the growth element of the plant is regulated and controled.
As an alternative embodiment, the Information Regulating device further include:
Monitoring modular 604, for monitoring the growth element of the plant；
Judgment module 605, for judging whether the growth element of the plant is in the range of standard value；
Acquisition module 601, if judging that the growth element of the plant is not at standard specifically for the judgment module 605
In the range of value, pass through the growth image of EO-1 hyperion camera herborization.
Wherein, implement Fig. 6 described in Information Regulating device, can by the high light spectrum image-forming information of plant, and by
Artificial nerve network model is analyzed, early find inside plants whether lesion occurs, so as to the best opportunity in time
The growth element of plant is regulated and controled.
The above-mentioned integrated unit realized in the form of software function module, can store in a computer-readable storage
In medium.Wherein, which can store computer program, which is being executed by processor
When, it can be achieved that step in above-mentioned each embodiment of the method.Wherein, which includes computer program code, described
Computer program code can be source code form, object identification code form, executable file or certain intermediate forms etc..The meter
Calculation machine readable storage medium storing program for executing may include: can carry the computer program code any entity or device, recording medium,
USB flash disk, mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), arbitrary access
Memory (RAM, Random-Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs
Bright, the content that the computer readable storage medium includes can be according to making laws in jurisdiction and patent practice is wanted
It asks and carries out increase and decrease appropriate.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the unit, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, technical solution of the present invention substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the present invention
Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
May include: flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English:
Random Access Memory, referred to as: RAM), disk or CD etc..
A kind of Information Regulating method, apparatus disclosed by the embodiments of the present invention and system are described in detail above, this
Apply that a specific example illustrates the principle and implementation of the invention in text, the explanation of above example is only intended to
It facilitates the understanding of the method and its core concept of the invention；At the same time, for those skilled in the art, think of according to the present invention
Think, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be construed as pair
Limitation of the invention.
Claims (9)
1. a kind of Information Regulating method characterized by comprising
Pass through the growth image of EO-1 hyperion camera herborization；
Based on artificial nerve network model, the growth image is identified, the recognition result of the plant is obtained；
If the recognition result shows that lesion occurs for the plant, the growth element of the plant is regulated and controled；
Wherein, the growth element of the plant is in the state of real time monitoring.
2. the method according to claim 1, wherein described be based on artificial nerve network model, to the growth
Image is identified that the recognition result for obtaining the plant includes:
The growth image is input to preparatory trained artificial nerve network model；
Classified by the artificial nerve network model to the growth image, obtains the recognition result of the plant.
3. the method according to claim 1, wherein if the recognition result shows that lesion occurs for the plant,
Then carrying out regulation to the growth element of the plant includes:
If the recognition result shows that lesion occurs for the plant, it is determined that the type of the lesion；
According to the type of the lesion, the growth element of the plant is regulated and controled.
4. method according to any one of claims 1 to 3, which is characterized in that the method also includes:
Monitor the growth element of the plant；
Judge whether the growth element of the plant is in the range of standard value；
If the growth element of the plant is not in the range of standard value, executes described acquiring by EO-1 hyperion camera and plant
The step of growth image of object.
5. a kind of management information system, which is characterized in that the management information system includes EO-1 hyperion camera, control equipment, light
Spectrometer, light compensating apparatus and sensor, wherein
The EO-1 hyperion camera is sent to the control equipment for the growth image of herborization, and by the growth image；
The control equipment identifies the growth image, obtains the plant for being based on artificial nerve network model
Recognition result；
The spectrometer, the spectral information received for detecting the plant；
The control equipment, is also used to according to the spectral information, carries out light filling to the plant by the light compensating apparatus；
The sensor, for acquiring the environmental information of the plant；
The control equipment is right according to the environmental information if being also used to the recognition result shows that lesion occurs for the plant
The growth element of the plant is regulated and controled.
6. a kind of Information Regulating device characterized by comprising
Acquisition module, for passing through the growth image of EO-1 hyperion camera herborization；
Identification module identifies the growth image, obtains the knowledge of the plant for being based on artificial nerve network model
Other result；
Regulate and control module, if showing that lesion occurs for the plant for the recognition result, to the growth element of the plant into
Row regulation；
Wherein, the growth element of the plant is in the state of real time monitoring.
7. Information Regulating device according to claim 6, which is characterized in that the identification module is based on artificial neural network
Model identifies that the recognition result for obtaining the plant includes: to the growth image
The growth image is input to preparatory trained artificial nerve network model；
Classified by the artificial nerve network model to the growth image, obtains the recognition result of the plant.
8. Information Regulating device according to claim 6, which is characterized in that if the recognition result shows the plant hair
Sick change, the regulation module carry out regulation to the growth element of the plant and include:
If the recognition result shows that lesion occurs for the plant, it is determined that the type of the lesion；
According to the type of the lesion, the growth element of the plant is regulated and controled.
9. according to the described in any item Information Regulating devices of claim 6 to 8, which is characterized in that the Information Regulating device is also
Include:
Monitoring modular, for monitoring the growth element of the plant；
Judgment module, for judging whether the growth element of the plant is in the range of standard value；
Acquisition module, if judging that the growth element of the plant is not at the range of standard value specifically for the judgment module
It is interior, pass through the growth image of EO-1 hyperion camera herborization.
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