CN109409696A - A kind of cutting flower variety evaluation method and device - Google Patents
A kind of cutting flower variety evaluation method and device Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims abstract description 39
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- 239000003205 fragrance Substances 0.000 claims description 14
- 238000000465 moulding Methods 0.000 claims description 14
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- 240000008254 Rosa chinensis Species 0.000 description 21
- 235000000664 Rosa chinensis Nutrition 0.000 description 21
- 241001481296 Malus spectabilis Species 0.000 description 19
- 240000006497 Dianthus caryophyllus Species 0.000 description 17
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Abstract
The application provides a kind of cutting flower variety evaluation method, comprising: obtains the species data of cutting flower variety to be evaluated；According to species data and cutting flower variety evaluation model, at least one index scoring of cutting flower variety to be evaluated is determined；According to the scoring of at least one index and cutting flower variety evaluation model, kind scoring and the varietY specificity index of cutting flower variety to be evaluated are determined；According to kind scoring, varietY specificity index and cutting flower variety evaluation model, determine whether cutting flower variety to be evaluated is specific breeds.By species data and cutting flower variety evaluation model, kind scoring and varietY specificity index are generated.Using kind scoring as cutting flower variety to be evaluated overall merit, using varietY specificity index as cutting flower variety to be evaluated whether be specific breeds screening index, can judge whether cutting flower variety to be evaluated is specific breeds.Therefore, this method is while the varietal character to cutting flower variety carries out overall merit, being capable of specific breeds in Effective selection cutting flower variety.
Description
Technical field
This application involves Fresh Cutting flower fields, in particular to a kind of cutting flower variety evaluation method and device.
Background technique
In current cutting flower variety evaluation method, single pollution assessment method, analytic hierarchy process (AHP) and method of analysis of variance etc. are all
It is that overall merit is carried out to varietal character, seldom with respect to the specificity of cutting flower variety, in the varietal character to cutting flower variety
While carrying out overall merit, effective screening not can be carried out to the specific breeds of cutting flower variety.
Summary of the invention
In view of this, the application's is designed to provide a kind of cutting flower variety evaluation method and device, to cut-flower product
While the varietal character of kind carries out overall merit, it is capable of the specific breeds of Effective selection cutting flower variety.
To achieve the goals above, embodiments herein is accomplished in that
In a first aspect, embodiments herein provides a kind of cutting flower variety evaluation method, comprising: obtain cut-flower to be evaluated
The species data of kind；According to the species data and cutting flower variety evaluation model, the cutting flower variety to be evaluated is determined extremely
Few index scoring, wherein the index scoring indicates the cutting flower variety to be evaluated in the finger of reflection cut-flower moral character feature
The scoring put on；According to the scoring of at least one described index and the cutting flower variety evaluation model, the cut-flower to be evaluated is determined
The kind of kind scores, and according to the scoring of at least one described index and the cutting flower variety evaluation model, determine it is described to
Evaluate the varietY specificity index of cutting flower variety；According to kind scoring, the varietY specificity index and the cut-flower product
Kind evaluation model determines whether the cutting flower variety to be evaluated is specific breeds.
In the embodiment of the present application, by the species data of cutting flower variety, with cutting flower variety evaluation model, to be evaluated
The index of cutting flower variety makes scoring, and based on scoring by index, kind scoring and varietY specificity index is generated, with kind
The overall merit to score as cutting flower variety to be evaluated can carry out overall merit to the varietal character of cutting flower variety to be evaluated,
And whether it is the screening index of specific breeds using varietY specificity index as cutting flower variety to be evaluated, and can judge to be evaluated
Whether valence cutting flower variety is specific breeds.Therefore, cutting flower variety evaluation method provided by the embodiments of the present application is to cutting flower variety
Varietal character while carry out overall merit, being capable of specific breeds in Effective selection cutting flower variety.
In some optional implementations of first aspect, it is described and according at least one described index scoring and institute
State cutting flower variety evaluation model, determine the varietY specificity index of the cutting flower variety to be evaluated, comprising: will it is described at least one
Index scoring described in each of index scoring, with preset in the cutting flower variety evaluation model and each described index
Corresponding mainstream index scoring of scoring is compared, wherein the mainstream index scoring indicates and mainstream index scoring pair
Meet the scoring of public preference in the index answered；Statistical comparison is as a result, calculate the varietY specificity index.
In the embodiment of the present application, by each index of cutting flower variety to be evaluated score in cutting flower variety evaluation model
Preset mainstream index scoring corresponding with the scoring of each index is compared, and judges the corresponding cutting flower variety of index scoring
Varietal character whether be mainstream varietal character, and according to corresponding index score, to the correspondence of cutting flower variety to be evaluated
Shape assignment, and counted, obtain the varietY specificity index of cutting flower variety to be evaluated.Therefore, provided by the embodiments of the present application
Cutting flower variety evaluation method can be screened more efficiently while the varietal character to cutting flower variety carries out overall merit
Specific breeds in cutting flower variety.
It is described according to kind scoring, the varietY specificity in some optional implementations of first aspect
Index and the cutting flower variety evaluation model determine whether the cutting flower variety to be evaluated is specific breeds, comprising: by the product
Species specificity index is compared with the first preset value in the cutting flower variety evaluation model, is less than first preset value
, it is determined as non-specific kind；First preset value is more than or equal to for the varietY specificity index, by the kind
Scoring is compared with the second preset value in the cutting flower variety evaluation model, and the kind scoring is more than or equal to described second
Preset value, it is determined as the specific breeds, the kind scoring is less than second preset value, is determined as described non-specific
Kind.
In the embodiment of the present application, by by the varietY specificity index of calculated cutting flower variety to be evaluated, with cut-flower
The first preset value in variety evaluation model is compared, and is judged whether the varietY specificity of cutting flower variety to be evaluated meets and is wanted
It asks.If the varietY specificity index of cutting flower variety to be evaluated is unsatisfactory for requiring, the special of the cutting flower variety can be determined that
Property is inadequate, is not belonging to specific breeds.And when the varietY specificity index of cutting flower variety to be evaluated is met the requirements, it is also necessary to according to
The kind scoring of the cutting flower variety is compared with the second preset value in cutting flower variety evaluation model, also full for kind scoring
It requires enough, can be determined as specific breeds；Specificity index is met the requirements, and kind scoring is unsatisfactory for wanting
It asks, can only also determine that it is non-specific kind, because while its varietY specificity index for corresponding to varietal character specificity
It meets the requirements, it is enough special, but its kind scoring for corresponding to overall merit is unsatisfactory for requiring, and does not meet the preference of people, because
This, determines that it is non-specific kind.Cutting flower variety evaluation method provided by the embodiments of the present application, in the varietal character to cutting flower variety
While shape carries out overall merit, effective guarantee also is provided to the specific breeds screened in cutting flower variety to be evaluated.
It is described that mould is evaluated according to the species data and cutting flower variety in some optional implementations of first aspect
Type determines at least one index scoring of the cutting flower variety to be evaluated, comprising: call the cutting flower variety evaluation model, root
According to the species data, A scoring, B scoring, C scoring and the D scoring of the cutting flower variety to be evaluated are calculated, wherein the A
Scoring shows the blossom character of the cutting flower variety to be evaluated, and the B scoring shows the Overall View of the cutting flower variety to be evaluated
Effect is appreciated, the bottle that the C scoring shows the cutting flower variety to be evaluated inserts performance, and the D scoring shows the cut-flower to be evaluated
The growth characteristics of kind.
In the embodiment of the present application, by providing the evaluation index of multiple dimensions: A scoring, B scoring, C scoring and D score,
The blossom character of cutting flower variety to be evaluated, whole appreciation effect, bottle are inserted respectively the index of performance and growth characteristics etc. into
Row scoring, due to corresponding to the kind scoring of cutting flower variety overall merit to be evaluated and corresponding to cutting flower variety specificity to be evaluated
VarietY specificity index, both be from index score, therefore, the present embodiment provides the evaluation index of multiple dimensions, Neng Gou
While carrying out more accurate overall merit for the varietal character of cutting flower variety, more efficiently screen special in cutting flower variety
Kind.
It is described to call the cutting flower variety evaluation model in some optional implementations of first aspect, according to institute
Species data is stated, calculates A scoring, B scoring, C scoring and the D scoring of the cutting flower variety to be evaluated, comprising: cut described in calling
Flower variety evaluation model calculates A1 scoring, A2 scoring, A3 scoring and A4 scoring, wherein described according to the species data
A1 scoring indicates the pattern of the cutting flower variety to be evaluated, and the A2 scoring indicates the flower pattern of the cutting flower variety to be evaluated, institute
Stating A3 scoring indicates the flower diameter of the cutting flower variety to be evaluated, and the A4 scoring indicates the fragrance of a flower of the cutting flower variety to be evaluated；
The cutting flower variety evaluation model is called, according to the species data, calculates B1 scoring, B2 scoring and B3 scoring, wherein institute
Stating B1 scoring indicates the density of blossoming of the cutting flower variety to be evaluated, and the B2 scoring indicates the flower of the cutting flower variety to be evaluated
Leaf contrast, the B3 scoring indicate the spray moulding of the cutting flower variety to be evaluated；The cutting flower variety evaluation model is called,
According to the species data, C1 scoring and C2 scoring are calculated, wherein the C1 scoring indicates the cutting flower variety to be evaluated
Vase time, the C2 scoring indicate the flowering rate of the cutting flower variety to be evaluated；Call the cutting flower variety evaluation model, root
According to the species data, D1 scoring and D2 scoring are calculated, wherein the D1 scoring indicates sprouting for the cutting flower variety to be evaluated
Principal stresses, the D2 scoring indicate that the adopting for cutting flower variety to be evaluated cuts length.
In the embodiment of the present application, by providing the evaluation index of multiple dimensions: A1 scoring, A2 scoring, A3 scoring and A4
Scoring；B1 scoring, B2 scoring and B3 scoring；C1 scoring and C2 scoring；D1 scoring and D2 scoring.Respectively to cutting flower variety to be evaluated
Blossom character in pattern, flower pattern, Hua Jing and the fragrance of a flower；Density of blossoming, floral leaf contrast and spray in whole appreciation effect
Moulding；Bottle inserts Vase time and flowering rate in performance；The index for sprouting principal stresses and Cai Qie length etc. in growth characteristics into
Row scoring, due to corresponding to the kind scoring of cutting flower variety overall merit to be evaluated and corresponding to cutting flower variety specificity to be evaluated
VarietY specificity index, both be from index score, therefore, the present embodiment provides the evaluations of more fine multiple dimensions to refer to
Mark can more efficiently screen cut-flower product while carrying out more accurate overall merit for the varietal character of cutting flower variety
Specific breeds in kind.
Second aspect, embodiments herein provide a kind of cutting flower variety evaluating apparatus, comprising: obtain module, be used for
Obtain the species data of cutting flower variety to be evaluated；Index grading module, for being evaluated according to the species data and cutting flower variety
Model determines at least one index scoring of the cutting flower variety to be evaluated, wherein the index scoring indicates described to be evaluated
Scoring of the cutting flower variety in the index of reflection cut-flower moral character feature；Kind grading module, for according to it is described at least one refer to
Mark scoring and the cutting flower variety evaluation model, determine the cutting flower variety to be evaluated kind scoring, and according to it is described extremely
Few index scoring and the cutting flower variety evaluation model, determine the varietY specificity index of the cutting flower variety to be evaluated；
Determination module, for determining institute according to kind scoring, the varietY specificity index and the cutting flower variety evaluation model
State whether cutting flower variety to be evaluated is specific breeds.
In some optional implementations of second aspect, the kind grading module is also used to described at least one
Index scoring described in each of a index scoring, with preset in the cutting flower variety evaluation model and each described finger
The corresponding mainstream index that mark scores scores and is compared, wherein the mainstream index scoring indicates to score with the mainstream index
Meet the scoring of public preference in corresponding index；Statistical comparison is as a result, calculate the varietY specificity index.
In some optional implementations of second aspect, the determination module is also used to the varietY specificity
Index is compared with the first preset value in the cutting flower variety evaluation model, less than first preset value, is determined as
Non-specific kind；First preset value is more than or equal to for the varietY specificity index, the kind is scored and institute
The second preset value stated in cutting flower variety evaluation model is compared, and the kind scoring is more than or equal to second preset value
, it is determined as the specific breeds, the kind scoring is less than second preset value, is determined as the non-specific kind.
In some optional implementations of second aspect, the index grading module is also used to call the cut-flower
Variety evaluation model calculates A scoring, B scoring, C scoring and the D of the cutting flower variety to be evaluated according to the species data
Scoring, wherein A scoring shows the blossom character of the cutting flower variety to be evaluated, and the B scoring performance is described to be evaluated to cut
The whole appreciation effect of flower variety, the bottle that the C scoring shows the cutting flower variety to be evaluated insert performance, the D scoring performance
The growth characteristics of the cutting flower variety to be evaluated.
In some optional implementations of second aspect, the index grading module is also used to call the cut-flower
Variety evaluation model calculates A1 scoring, A2 scoring, A3 scoring and A4 scoring, wherein the A1 according to the species data
Scoring indicates the pattern of the cutting flower variety to be evaluated, and the A2 scoring indicates the flower pattern of the cutting flower variety to be evaluated, described
A3 scoring indicates the flower diameter of the cutting flower variety to be evaluated, and the A4 scoring indicates the fragrance of a flower of the cutting flower variety to be evaluated；It adjusts
B1 scoring, B2 scoring and B3 scoring are calculated, wherein described according to the species data with the cutting flower variety evaluation model
B1 scoring indicates the density of blossoming of the cutting flower variety to be evaluated, and the B2 scoring indicates the floral leaf of the cutting flower variety to be evaluated
Contrast, the B3 scoring indicate the spray moulding of the cutting flower variety to be evaluated；Call the cutting flower variety evaluation model, root
According to the species data, C1 scoring and C2 scoring are calculated, wherein the C1 scoring indicates the bottle of the cutting flower variety to be evaluated
It inserts the service life, the C2 scoring indicates the flowering rate of the cutting flower variety to be evaluated；The cutting flower variety evaluation model is called, according to
The species data calculates D1 scoring and D2 scoring, wherein the D1 scoring expression cutting flower variety to be evaluated sprouts branch
Power, the D2 scoring indicate that the adopting for cutting flower variety to be evaluated cuts length.
The third aspect, the embodiment of the present application provide a kind of server, and the server includes: processor, memory, always
Line and communication interface；The processor, the communication interface and memory are connected by the bus.The memory, is used for
Store program.The processor, for the program by calling storage in the memory, to execute first aspect or first
Cutting flower variety evaluation method described in any optional implementation of aspect.
Fourth aspect, the embodiment of the present application provide a kind of calculating of non-volatile program code that can be performed with processor
The readable storage medium of machine, for storing program code, said program code executes first party when being readable by a computer and running
Cutting flower variety evaluation method described in any optional implementation of face or first aspect.
To enable the above objects, features, and advantages of the application to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only some embodiments of the application, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows a kind of structural block diagram of cutting flower variety evaluating apparatus of the application first embodiment offer；
Fig. 2 shows a kind of structural block diagrams for server that the application first embodiment provides；
Fig. 3 shows a kind of first pass figure of cutting flower variety evaluation method of the application second embodiment offer；
Fig. 4 shows the sub-process of step S200 in a kind of cutting flower variety evaluation method of the application second embodiment offer
Figure；
Fig. 5 shows the sub-process of step S300 in a kind of cutting flower variety evaluation method of the application second embodiment offer
Figure；
Fig. 6 shows the sub-process of step S400 in a kind of cutting flower variety evaluation method of the application second embodiment offer
Figure；
Fig. 7 shows a kind of cutting flower variety evaluating apparatus functional block diagram of the application 3rd embodiment offer.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Ground description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.Usually exist
The component of the embodiment of the present application described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed the application's to the detailed description of the embodiments herein provided in the accompanying drawings below
Range, but it is merely representative of the selected embodiment of the application.Based on embodiments herein, those skilled in the art not into
Row goes out every other embodiment obtained under the premise of creative work, shall fall in the protection scope of this application.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.Term " first ", " the
Two " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.Furthermore term in the application " and/
Or ", only a kind of incidence relation for describing affiliated partner, indicates may exist three kinds of relationships, for example, A and/or B, it can be with table
Show: individualism A exists simultaneously A and B, these three situations of individualism B.
First embodiment
Referring to Fig. 1, a kind of cutting flower variety evaluating apparatus 10 is present embodiments provided, the cutting flower variety evaluating apparatus 10 packet
It includes: front end 11 and server 20.
Front end 11 may include smart phone, tablet computer or PC etc..Front end 11 can pass through network and service
Device 20 carries out data communication, and species data can be sent to by front end 11 when obtaining the species data of cutting flower variety to be evaluated
Server 20, server 20 can be handled species data the species data received, by being preset in server 20
In cutting flower variety evaluation model, generate the scoring of at least one index, and score according to index and to generate kind scoring and kind is special
Thus anisotropic index determines whether the cutting flower variety to be evaluated is specific breeds, and will determine result and kind scoring and product
The information such as species specificity index return to front end 11.Certainly, front end 11 can also be directly by the species data of acquisition, and input is default
Cutting flower variety evaluation model in front end 11, by identical processing step, obtain about cutting flower variety to be evaluated whether be
The judgement result and kind of specific breeds score and the information such as varietY specificity index.For front end 11 directly as cut-flower product
The case where kind of evaluating apparatus 10 executes cutting flower variety evaluation method, due to starting to having executed step executing step S100
Rapid S400, it is the same with the treatment process of server 20, therefore the case where execution of front end 11 is not described in detail hereafter.By
It can directly be executed on front end 11 in the cutting flower variety evaluation method of the application, and export user requested data, therefore
Cutting flower variety evaluating apparatus 10 cannot be limited in the executive mode of server 20.
Referring to Fig. 2, server 20 can be network server, database server or be made of multiple child servers
Server cluster.Server 20 by with front end 11 carry out data interaction, can execute and realize be related to cutting flower variety evaluation
Cutting flower variety evaluation method.
Optionally, server 20 may include: memory 21, communication module 22, bus 23 and processor 24.Wherein, locate
Reason device 24, communication module 22 and memory 21 are connected by bus 23.Processor 24 be used for execute stored in memory 21 can
Execution module, such as computer program.The component and structure of server 20 shown in Fig. 2 are only exemplary, and not restrictive
, as needed, server 20 also can have other assemblies and structure.
Wherein, memory 21 may include high-speed random access memory (Random Access Memory RAM),
It may further include non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.This reality
It applies in example, memory 21 stores processor 24 and executes program required for cutting flower variety evaluation method.
Bus 23 can be isa bus, pci bus or eisa bus etc..It is total that bus can be divided into address bus, data
Line, control bus etc..Only to be indicated with a four-headed arrow in Fig. 2, it is not intended that an only bus or one convenient for indicating
The bus of seed type.
Processor 24 may be a kind of IC chip, the processing capacity with signal.During realization, above-mentioned side
Each step of method can be completed by the integrated logic circuit of the hardware in processor 24 or the instruction of software form.Above-mentioned
Processor 24 can be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network
Processor (Network Processor, abbreviation NP) etc.；It can also be digital signal processor (DSP), specific integrated circuit
(ASIC), ready-made programmable gate array (FPGA) either other programmable logic device, discrete gate circuit or transistor logic
Device, discrete hardware components.It may be implemented or execute disclosed each method, step and the logical box in the embodiment of the present application
Figure.General processor can be microprocessor or the processor is also possible to any conventional processor etc..In conjunction with the application
The step of method disclosed in embodiment, can be embodied directly in hardware decoding processor and execute completion, or use decoding processor
In hardware and software module combination execute completion.Software module can be located at random access memory, and flash memory, read-only memory can
In the storage medium of this fields such as program read-only memory or electrically erasable programmable memory, register maturation.
Method performed by the device of stream process or definition that the embodiment of the present application any embodiment discloses can be applied to
In processor 24, or realized by processor 24.Processor 24 is stored in after receiving and executing instruction by the calling of bus 23
After program in memory 21, processor 24, which controls communication module 22 by bus 23, can then execute cutting flower variety evaluation method
Process.
Second embodiment
Referring to Fig. 3, in cutting flower variety evaluation method provided in this embodiment, which can be from
The angle of server 20 is described, wherein trained neural network model is preset in server 20 as cutting flower variety
Evaluation model.The cutting flower variety evaluation method may include: step S100, step S200, step S300 and step S400.
Step S100: the species data of cutting flower variety to be evaluated is obtained.
Step S200: according to the species data and cutting flower variety evaluation model, the cutting flower variety to be evaluated is determined
At least one index scoring, wherein the index scoring indicates the cutting flower variety to be evaluated in reflection cut-flower moral character feature
Scoring in index.
Step S300: it according to the scoring of at least one described index and the cutting flower variety evaluation model, determines described to be evaluated
The kind of valence cutting flower variety scores, and according to the scoring of at least one described index and the cutting flower variety evaluation model, determines
The varietY specificity index of the cutting flower variety to be evaluated.
Step S400: according to kind scoring, the varietY specificity index and the cutting flower variety evaluation model, sentence
Whether the fixed cutting flower variety to be evaluated is specific breeds.
Each step in the scheme of the application is described in detail below in conjunction with Fig. 1-Fig. 6.
In the present embodiment, before carrying out step S100, the species data of cutting flower variety to be evaluated can be obtained, the kind
Data can carry out typing by front end 11, and front end 11 can lead to the species data information of cutting flower variety to be evaluated by network
Letter sends server 20 to.
Assuming that 1: need to evaluate certain kind Malus spectabilis, the data of 100 plants of kind Malus spectabilis of random acquisition, obtain about
The pattern of the kind Malus spectabilis, flower pattern, Hua Jing, the fragrance of a flower, density of blossoming, floral leaf contrast, spray moulding, Vase time, flowering rate,
The average data for sprouting principal stresses and Cai Qie length etc., the species data as the kind Malus spectabilis.The kind number of the kind Malus spectabilis
According to from the species data information of the kind Malus spectabilis can be sent to clothes by network communication from 11 typing of front end, front end 11
Business device 20.
Assuming that 2: need to evaluate certain kind Chinese rose, the data of 100 plants of kind Chinese roses of random acquisition, obtain about
The pattern of the kind Chinese rose, flower pattern, Hua Jing, the fragrance of a flower, density of blossoming, floral leaf contrast, spray moulding, Vase time, flowering rate,
The average data for sprouting principal stresses and Cai Qie length etc., the species data as the kind Chinese rose.The kind number of the kind Chinese rose
According to from the species data information of the kind Chinese rose can be sent to clothes by network communication from 11 typing of front end, front end 11
Business device 20.
Assuming that 3: needing to evaluate certain kind carnation, the data of 100 plants of kind carnations of random acquisition obtain
About the pattern of the kind carnation, flower pattern, Hua Jing, the fragrance of a flower, density of blossoming, floral leaf contrast, spray moulding, Vase time,
Flowering rate, the average data for sprouting principal stresses and Cai Qie length etc., the species data as the kind carnation.The kind health is
Fragrant species data is from can pass through network for the species data information of the kind carnation from 11 typing of front end, front end 11
Communication sends server 20 to.
Referring to Fig. 3, after front end 11 puts species data in order, server 20 can execute step in the present embodiment
S100, i.e. server 20 can then obtain the species data of the cutting flower variety to be evaluated of the transmission of front end 11 by network in real time.
Continue hypothesis 1 above-mentioned, server 20 obtains the species data of the kind Malus spectabilis.
Continue hypothesis 2 above-mentioned, server 20 obtains the species data of the kind Chinese rose.
Continue hypothesis 3 above-mentioned, server 20 obtains the species data of the kind carnation.
Referring to Fig. 4, after executing the species data for obtaining cutting flower variety to be evaluated in server 20, server 20 then can be with
Continue to execute step S200.In the present embodiment, step S200 may include: step S210, step S220, step S230 and step
S240。
Step S210: calling the cutting flower variety evaluation model, according to the species data, calculates A1 scoring, A2 is commented
Divide, A3 scoring and A4 are scored, wherein the A1 scoring indicates the pattern of the cutting flower variety to be evaluated, and the A2, which scores, to be indicated
The flower pattern of the cutting flower variety to be evaluated, the A3 scoring indicate the flower diameter of the cutting flower variety to be evaluated, the A4 grade form
Show the fragrance of a flower of the cutting flower variety to be evaluated.
Step S220: calling the cutting flower variety evaluation model, according to the species data, calculates B1 scoring, B2 is commented
Divide and B3 scoring, wherein the B1 scoring indicates the density of blossoming of the cutting flower variety to be evaluated, and the B2 scores described in expression
The floral leaf contrast of cutting flower variety to be evaluated, the B3 scoring indicate the spray moulding of the cutting flower variety to be evaluated.
Step S230: calling the cutting flower variety evaluation model, according to the species data, calculates C1 scoring and C2 is commented
Point, wherein C1 scoring indicates the Vase time of the cutting flower variety to be evaluated, and the C2 scoring indicates described and to be evaluated cuts
The flowering rate of flower variety.
Step S240: calling the cutting flower variety evaluation model, according to the species data, calculates D1 scoring and D2 is commented
Point, wherein the D1 scoring indicates the principal stresses of sprouting of the cutting flower variety to be evaluated, and the D2 scoring indicates the cut-flower to be evaluated
Length is cut in adopting for kind.
In the present embodiment, server 20 can execute step S210, and server 20 can be according to cutting flower variety evaluation model
In preset index standards of grading, to pattern, flower pattern, Hua Jing and the fragrance of a flower in the species data of the cutting flower variety to be evaluated of acquisition
Data score, as A1 scoring, A2 scoring, A3 scoring and A4 scoring.
Continue hypothesis 1 above-mentioned, to the species data of the kind Malus spectabilis of acquisition, score, obtains A1 and score: 5 points；
A2 scoring: 4 points；A3 scoring: 5 points；A4 scoring: 5 points.
Continue hypothesis 2 above-mentioned, to the species data of the kind Chinese rose of acquisition, score, obtains A1 and score: 5 points；
A2 scoring: 4 points；A3 scoring: 4 points；A4 scoring: 2 points.
Continue hypothesis 3 above-mentioned, to the species data of the kind carnation of acquisition, score, obtains A1 and score: 5
Point；A2 scoring: 0 point；A3 scoring: 5 points；A4 scoring: 5 points.
After performing step S210, server 20 continues to execute step S220.In the present embodiment, server 20 can be with
According to index standards of grading preset in cutting flower variety evaluation model, in the species data of the cutting flower variety to be evaluated of acquisition
Density, floral leaf contrast and the spray moulding data of blossoming score, as B1 scoring, B2 scoring and B3 scoring.
Continue hypothesis 1 above-mentioned, to the species data of the kind Malus spectabilis of acquisition, score, obtains B1 and score: 5 points；
B2 scoring: 4 points；B3 scoring: 3 points.
Continue hypothesis 2 above-mentioned, to the species data of the kind Chinese rose of acquisition, score, obtains B1 and score: 5 points；
B2 scoring: 3 points；B3 scoring: 4 points.
Continue hypothesis 3 above-mentioned, to the species data of the kind carnation of acquisition, score, obtains B1 and score: 5
Point；B2 scoring: 4 points；B3 scoring: 5 points.
After performing step S220, server 20 continues to execute step S230.In the present embodiment, server 20 can be with
According to index standards of grading preset in cutting flower variety evaluation model, in the species data of the cutting flower variety to be evaluated of acquisition
Vase time and flowering rate data score, as C1 scoring and C2 scoring.
Continue hypothesis 1 above-mentioned, to the species data of the kind Malus spectabilis of acquisition, score, obtains C1 and score: 5 points；
C2 scoring: 3 points.
Continue hypothesis 2 above-mentioned, to the species data of the kind Chinese rose of acquisition, score, obtains C1 and score: 5 points；
C2 scoring: 3 points.
Continue hypothesis 3 above-mentioned, to the species data of the kind carnation of acquisition, score, obtains C1 and score: 5
Point；C2 scoring: 1 point.
After performing step S230, server 20 continues to execute step S240.In the present embodiment, server 20 can be with
According to index standards of grading preset in cutting flower variety evaluation model, in the species data of the cutting flower variety to be evaluated of acquisition
It sprouts principal stresses and Cai Qie length data scores, as D1 scoring and D2 scoring.
Continue hypothesis 1 above-mentioned, to the species data of the kind Malus spectabilis of acquisition, score, obtains D1 and score: 5 points；
D2 scoring: 4 points.
Continue hypothesis 2 above-mentioned, to the species data of the kind Chinese rose of acquisition, score, obtains D1 and score: 3 points；
D2 scoring: 5 points.
Continue hypothesis 3 above-mentioned, to the species data of the kind carnation of acquisition, score, obtains D1 and score: 5
Point；D2 scoring: 5 points.
It should be noted that illustrate index used herein merely for convenience of description, specific index can voluntarily root
It being configured according to actual conditions, scoring of index etc. can also adjust in due course, not as restriction, and step S210, step
The execution sequence of S220, step S230 and step S240 also in no particular order, can be adjusted arbitrarily, the index that need to only obtain setting is commented
Divide just, therefore should not be construed as the restriction to the application.
Referring to Fig. 5, after server 20 executes and determines at least one index scoring of cutting flower variety to be evaluated, server
20 can continue to execute step S300.In the present embodiment, step S300 may include: step S310 and step S320.
Step S310: by index scoring described in each of described at least one index scoring, with the cutting flower variety
Preset mainstream index scoring corresponding with the scoring of index described in each is compared in evaluation model, wherein the mainstream
Index scoring, which indicates to score with the mainstream index, meets the scoring of public preference in corresponding index.
Step S320: statistical comparison is as a result, calculate the varietY specificity index.
In the present embodiment, in implementation procedure of the server 20 to step S310, during server 20 scores These parameters
The scoring of each index, and preset corresponding with the scoring of each index mainstream index scoring in cutting flower variety evaluation model
It is compared, to obtain the difference between the index scoring of cutting flower variety to be evaluated and the scoring of mainstream index, each index difference
It is indicated with a1-d2 correspondence.
Continue hypothesis 1 above-mentioned, the index scoring of the species data of the kind Malus spectabilis is as follows: A1 scoring: 5 points；A2 scoring:
4 points；A3 scoring: 5 points；A4 scoring: 5 points；B1 scoring: 5 points；B2 scoring: 4 points；B3 scoring: 3 points；C1 scoring: 5 points；C2 scoring:
3 points；D1 scoring: 5 points；D2 scoring: 4 points.Difference value between the scoring of its index and mainstream scoring are as follows: a1:0 points；A2:1 points；A3:0
Point；A4:1 points；B1:0 points；B2:0 points；B3:1 points；C1:1 points；C2:0 points；D1:0 points；D2:0 points.
Continue hypothesis 2 above-mentioned, the index scoring of the species data of the kind Chinese rose is as follows: A1 scoring: 4 points；A2 scoring:
4 points；A3 scoring: 4 points；A4 scoring: 2 points；B1 scoring: 5 points；B2 scoring: 3 points；B3 scoring: 3 points；C1 scoring: 4 points；C2 scoring:
3 points；D1 scoring: 3 points；D2 scoring: 4 points.Difference value between the scoring of its index and mainstream scoring are as follows: a1:0 points；A2:0 points；A3:1
Point；A4:2 points；B1:4 points；B2:1 points；B3:0 points；C1:1 points；C2:0 points；D1:2 points；D2:2 points.
Continue hypothesis 3 above-mentioned, the index scoring of the species data of the kind carnation is as follows: A1 scoring: 5 points；A2 is commented
Point: 0 point；A3 scoring: 5 points；A4 scoring: 5 points；B1 scoring: 5 points；B2 scoring: 4 points；B3 scoring: 5 points；C1 scoring: 5 points；C2 is commented
Point: 1 point；D1 scoring: 5 points；D2 scoring: 5 points.Difference value between the scoring of its index and mainstream scoring are as follows: a1:0 points；A2:5 points；
A3:0 points；A4:1 points；B1:0 points；B2:0 points；B3:1 points；C1:1 points；C2:4 points；D1:0 points；D2:0 points.
After performing step S310, server 20 continues to execute step S320, and server 20 can be with statistical result, really
Determine varietY specificity index.In the present embodiment, determines that the mode of varietY specificity index is more each difference, take difference maximum
Person is the varietY specificity index of cutting flower variety to be evaluated, can also choose other modes in other embodiments and determine that kind is special
Sex index, such as aggregation difference, obtain the varietY specificity index of cutting flower variety to be evaluated.Therefore taken in the present embodiment
Mode to the varietY specificity index of cutting flower variety to be evaluated should not become the restriction to the application.
Continue hypothesis 1 above-mentioned, the varietY specificity index of the kind Malus spectabilis is 1.
Continue hypothesis 2 above-mentioned, the varietY specificity index of the kind Chinese rose is 4.
Continue hypothesis 3 above-mentioned, the varietY specificity index of the kind carnation is 5.
In the present embodiment, after performing step S320, server 20 can also be by each of cutting flower variety to be evaluated
A index scoring is added up, and the kind scoring of cutting flower variety to be evaluated is obtained.
Continue hypothesis 1 above-mentioned, the kind scoring of the kind Malus spectabilis is 48 points.
Continue hypothesis 2 above-mentioned, the kind scoring of the kind Chinese rose is 37 points.
Continue hypothesis 3 above-mentioned, the kind scoring of the kind carnation is 45 points.
It should be noted that the mode that kind scoring is obtained in the present embodiment is directly to add up, it can also in other embodiments
Weighted value is selected to be added up, to obtain the kind scoring of cutting flower variety to be evaluated.That therefore takes in the present embodiment obtains
The mode of the kind scoring of cutting flower variety to be evaluated should not become the restriction to the application.
Referring to Fig. 6, after server 20 executes and determines at least one index scoring of cutting flower variety to be evaluated, server
20 can continue to execute step S400.In the present embodiment, step S400 may include: step S410 and step S420.
Step S410: the first preset value in the varietY specificity index and the cutting flower variety evaluation model is carried out
Compare, less than first preset value, is determined as non-specific kind.
Step S420: first preset value is more than or equal to for the varietY specificity index, the kind is commented
Divide and be compared with the second preset value in the cutting flower variety evaluation model, it is pre- that the kind scoring is more than or equal to described second
If value, it is determined as the specific breeds, the kind scoring is less than second preset value, is determined as the non-specific product
Kind.
In the present embodiment, in implementation procedure of the server 20 to step S410, server 20 can be by cut-flower to be evaluated
The varietY specificity index of kind is compared with the first preset value in cutting flower variety evaluation model, less than the first preset value
, it is determined as non-specific kind.For example, can be set to 4 herein, can also be by the first default settings in other embodiments
3 or other numerical value, it is not construed as limiting.
Continue hypothesis 1 above-mentioned, the varietY specificity index of the kind Malus spectabilis is 1, and less than the first preset value 4, determining should
Kind Malus spectabilis is non-specific kind.
Continue hypothesis 2 above-mentioned, the varietY specificity index of the kind Chinese rose is 4, is equal to the first preset value 4, executes step
Rapid S420.
Continue hypothesis 3 above-mentioned, the varietY specificity index of the kind carnation is 5, is greater than the first preset value 4, executes
Step S420.
In the present embodiment, in implementation procedure of the server 20 to step S420, server 20 can be cut according to be evaluated
The kind of flower variety scores, and in conjunction with the second preset value in cutting flower variety evaluation model, the two is compared, kind is commented
Divide more than or equal to the second preset value, be determined as specific breeds, kind scores less than the second preset value, is determined as non-specific product
Kind.Herein, to belong to type according to flower different, also generally are provided with the second different preset values, for example, in the present embodiment to all product
The Malus spectabilis of kind is equipped with identical second preset value: 40 points；And to different Chinese roses, it also is provided with and skimble-scamble second preset value,
Such as the second preset value of shrub Chinese rose is 41 points herein, and the second preset value of Liana rosa indica is 43 points；The second of carnation
Preset value is 42 points.
Continue it is above-mentioned assume 1, for the kind Malus spectabilis, have determined that as non-specific kind, no longer need to do and determine.
Continue hypothesis 2 above-mentioned, for the kind Chinese rose, belongs to Liana rosa indica, the second preset value of calling: 43 points, with its product
37 points of kind scoring is compared, and kind scores less than the second preset value, is determined as non-specific kind.
Continue hypothesis 3 above-mentioned, for the kind carnation, calls the second preset value: 42 points, scoring 45 points with its kind
It is compared, kind scoring is greater than the second preset value, is determined as specific breeds.
After the completion of judgement, i.e., after server 20 executes the step S400, can by the data of cutting flower variety to be evaluated,
It include: that the scoring of each index, kind scoring, varietY specificity index and judgement result are sent out fully or partially through network communication
Give front end 11.
Continue hypothesis 1 above-mentioned, server 20 sends data to front end 11, and the evaluation data of the kind Malus spectabilis are as follows:
Index scoring: pattern scoring: 5 points；Flower pattern scoring: 4 points；Hua Jing scoring: 5 points；Fragrance of a flower scoring: 5 points；Blossom density
Scoring: 5 points；Floral leaf contrast scoring: 4 points；Spray moulding scoring: 3 points；Vase time scoring: 5 points；Flowering rate scoring: 3 points；
It sprouts principal stresses to score: 5 points；It adopts and cuts length scoring: 4 points；Kind scoring: 48 points；VarietY specificity index: 1；Non-specific kind.
Continue hypothesis 2 above-mentioned, server 20 sends data to front end 11, and the evaluation data of the kind Chinese rose are as follows:
Index scoring: pattern scoring: 4 points；Flower pattern scoring: 4 points；Hua Jing scoring: 4 points；Fragrance of a flower scoring: 2 points；Blossom density
Scoring: 5 points；Floral leaf contrast scoring: 3 points；Spray moulding scoring: 3 points；Vase time scoring: 4 points；Flowering rate scoring: 3 points；
It sprouts principal stresses to score: 3 points；It adopts and cuts length scoring: 4 points；Kind scoring: 37 points；VarietY specificity index: 4；Non-specific kind.
Continue hypothesis 3 above-mentioned, server 20 sends data to front end 11, and the evaluation data of the kind carnation are such as
Under: index scoring: pattern scoring: 5 points；Flower pattern scoring: 0 point；Hua Jing scoring: 5 points；Fragrance of a flower scoring: 5 points；Blossom density scores:
5 points；Floral leaf contrast scoring: 4 points；Spray moulding scoring: 5 points；Vase time scoring: 5 points；Flowering rate scoring: 1 point；Sprout branch
Power scoring: 5 points；It adopts and cuts length scoring: 5 points；Kind scoring: 45 points；VarietY specificity index: 5；Specific breeds.
It should be noted that the example enumerated is used for the purpose of walking implementation since step illustrates to need in the present embodiment
Suddenly easily illustrated, the validity of given example is please subject to actual conditions, and example used by illustrating is not construed as
Restriction to the application.
3rd embodiment
Referring to Fig. 7, the embodiment of the present application provides a kind of cutting flower variety evaluating apparatus functional module 100, the cut-flower product
Kind evaluating apparatus functional module 100 is applied to front end 11 and/or server 20, the cutting flower variety evaluating apparatus functional module 100
Include:
Module 110 is obtained, for obtaining the species data of cutting flower variety to be evaluated；
Index grading module 120, for determining described to be evaluated according to the species data and cutting flower variety evaluation model
At least one index of cutting flower variety scores, wherein the index scoring indicates the cutting flower variety to be evaluated in reflection cut-flower
Scoring in the index of moral character feature；
Kind grading module 130, for being scored and the cutting flower variety evaluation model according at least one described index, really
The kind scoring of the fixed cutting flower variety to be evaluated, and evaluated according to the scoring of at least one described index and the cutting flower variety
Model determines the varietY specificity index of the cutting flower variety to be evaluated；
Determination module 140, for being evaluated according to kind scoring, the varietY specificity index and the cutting flower variety
Model determines whether the cutting flower variety to be evaluated is specific breeds.
In the present embodiment, the kind grading module 130, being also used to will be each in the scoring of at least one described index
A index scoring, and preset mainstream corresponding with the scoring of index described in each refers in the cutting flower variety evaluation model
Mark scoring is compared, wherein the mainstream index scoring indicates to meet in index corresponding with the mainstream index scoring big
The scoring of many preferences；Statistical comparison is as a result, calculate the varietY specificity index.
In the present embodiment, the determination module 140 is also used to the varietY specificity index and the cutting flower variety
The first preset value in evaluation model is compared, and less than first preset value, is determined as non-specific kind；For described
VarietY specificity index is more than or equal to first preset value, will be in kind scoring and the cutting flower variety evaluation model
The second preset value be compared, kind scoring is more than or equal to second preset value, be determined as the specific breeds,
The kind scoring is less than second preset value, is determined as the non-specific kind.
In the present embodiment, the index grading module 120 is also used to call the cutting flower variety evaluation model, according to
The species data calculates A scoring, B scoring, C scoring and the D scoring of the cutting flower variety to be evaluated, wherein the A is commented
Divide the blossom character of the performance cutting flower variety to be evaluated, the entirety that the B scoring shows the cutting flower variety to be evaluated is ornamental
Effect, the bottle that the C scoring shows the cutting flower variety to be evaluated insert performance, and the D scoring shows the cut-flower product to be evaluated
The growth characteristics of kind.
In the present embodiment, the index grading module 120 is also used to call the cutting flower variety evaluation model, according to
The species data calculates A1 scoring, A2 scoring, A3 scoring and A4 scoring, wherein the A1 scoring indicates described to be evaluated
The pattern of cutting flower variety, the A2 scoring indicate the flower pattern of the cutting flower variety to be evaluated, and the A3 scoring indicates described to be evaluated
The flower diameter of valence cutting flower variety, the A4 scoring indicate the fragrance of a flower of the cutting flower variety to be evaluated；The cutting flower variety is called to evaluate
Model calculates B1 scoring, B2 scoring and B3 scoring according to the species data, wherein the B1 scoring indicates described to be evaluated
The density of blossoming of valence cutting flower variety, the B2 scoring indicate the floral leaf contrast of the cutting flower variety to be evaluated, the B3 scoring
Indicate the spray moulding of the cutting flower variety to be evaluated；The cutting flower variety evaluation model is called, according to the species data, meter
Calculate C1 scoring and C2 scoring, wherein the C1 scoring indicates the Vase time of the cutting flower variety to be evaluated, the C2 scoring
Indicate the flowering rate of the cutting flower variety to be evaluated；The cutting flower variety evaluation model is called, according to the species data, is calculated
D1 scoring and D2 scoring out, wherein the D1 scoring indicates the principal stresses of sprouting of the cutting flower variety to be evaluated, and the D2 scoring indicates
The adopting for cutting flower variety to be evaluated cuts length.
It should be noted that due to it is apparent to those skilled in the art that, for the convenience and letter of description
Clean, the specific work process of the system of foregoing description can refer to corresponding processes in the foregoing method embodiment, no longer superfluous herein
It states.
In conclusion embodiments herein provides a kind of cutting flower variety evaluation method, comprising: obtain cut-flower to be evaluated
The species data of kind；According to the species data and cutting flower variety evaluation model, the cutting flower variety to be evaluated is determined extremely
Few index scoring, wherein the index scoring indicates the cutting flower variety to be evaluated in the finger of reflection cut-flower moral character feature
The scoring put on；According to the scoring of at least one described index and the cutting flower variety evaluation model, the cut-flower to be evaluated is determined
The kind of kind scores, and according to the scoring of at least one described index and the cutting flower variety evaluation model, determine it is described to
Evaluate the varietY specificity index of cutting flower variety；According to kind scoring, the varietY specificity index and the cut-flower product
Kind evaluation model determines whether the cutting flower variety to be evaluated is specific breeds.
The index of cutting flower variety to be evaluated is done with cutting flower variety evaluation model by the species data of cutting flower variety
It scores out, and based on being scored by index, generates kind scoring and varietY specificity index, scored using kind as to be evaluated and cut
The overall merit of flower variety can carry out overall merit to the varietal character of cutting flower variety to be evaluated, and be referred to varietY specificity
Whether number as cutting flower variety to be evaluated is the screening index of specific breeds, but can judge cutting flower variety to be evaluated whether be
Specific breeds.Therefore, cutting flower variety evaluation method provided by the embodiments of the present application carries out comprehensive in the varietal character to cutting flower variety
It, being capable of specific breeds in Effective selection cutting flower variety while closing evaluation.
The above is only preferred embodiment of the present application, are not intended to limit this application, for those skilled in the art
For member, various changes and changes are possible in this application.Within the spirit and principles of this application, it is made it is any modification,
Equivalent replacement, improvement etc., should be included within the scope of protection of this application.It should also be noted that similar label and letter are under
Similar terms are indicated in the attached drawing in face, therefore, once being defined in a certain Xiang Yi attached drawing, are not then needed in subsequent attached drawing
It is further defined and explained.
More than, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, and it is any to be familiar with
Those skilled in the art within the technical scope of the present application, can easily think of the change or the replacement, and should all cover
Within the protection scope of the application.Therefore, the protection scope of the application should be subject to the protection scope in claims.
Claims (10)
1. a kind of cutting flower variety evaluation method characterized by comprising
Obtain the species data of cutting flower variety to be evaluated；
According to the species data and cutting flower variety evaluation model, determine that at least one index of the cutting flower variety to be evaluated is commented
Point, wherein the index scoring indicates scoring of the cutting flower variety to be evaluated in the index of reflection cut-flower moral character feature；
According to the scoring of at least one described index and the cutting flower variety evaluation model, the product of the cutting flower variety to be evaluated are determined
Kind scoring, and according to the scoring of at least one described index and the cutting flower variety evaluation model, determine the cut-flower to be evaluated
The varietY specificity index of kind；
According to kind scoring, the varietY specificity index and the cutting flower variety evaluation model, determine described to be evaluated
Whether cutting flower variety is specific breeds.
2. cutting flower variety evaluation method according to claim 1, which is characterized in that it is described and according to it is described at least one
Index scoring and the cutting flower variety evaluation model, determine the varietY specificity index of the cutting flower variety to be evaluated, comprising:
By index scoring described in each of described at least one index scoring, preset with the cutting flower variety evaluation model
Mainstream index corresponding with the scoring of index described in each scoring be compared, wherein mainstream index scoring indicate with
The mainstream index, which scores, meets the scoring of public preference in corresponding index；
Statistical comparison is as a result, calculate the varietY specificity index.
3. cutting flower variety evaluation method described in any claim according to claim 1 or in 2, which is characterized in that described according to institute
Kind scoring, the varietY specificity index and the cutting flower variety evaluation model are stated, determines that the cutting flower variety to be evaluated is
No is specific breeds, comprising:
The varietY specificity index is compared with the first preset value in the cutting flower variety evaluation model, is less than described
First preset value, it is determined as non-specific kind；
First preset value is more than or equal to for the varietY specificity index, by kind scoring and the cut-flower product
The second preset value in kind evaluation model is compared, and the kind scoring is more than or equal to second preset value, is determined as
The specific breeds, the kind scoring are less than second preset value, are determined as the non-specific kind.
4. cutting flower variety evaluation method according to claim 3, which is characterized in that described according to the species data and cutting
Flower variety evaluation model determines at least one index scoring of the cutting flower variety to be evaluated, comprising:
The cutting flower variety evaluation model is called, according to the species data, the A for calculating the cutting flower variety to be evaluated is commented
Divide, B scoring, C scores and D scoring, wherein the blossom character of the A scoring performance cutting flower variety to be evaluated, the B are commented
Divide the whole appreciation effect of the performance cutting flower variety to be evaluated, the bottle that the C scoring shows the cutting flower variety to be evaluated is inserted
Performance, the D scoring show the growth characteristics of the cutting flower variety to be evaluated.
5. cutting flower variety evaluation method according to claim 4, which is characterized in that described to call the cutting flower variety evaluation
Model calculates A scoring, B scoring, C scoring and the D scoring of the cutting flower variety to be evaluated, packet according to the species data
It includes:
The cutting flower variety evaluation model is called, according to the species data, calculates A1 scoring, A2 scoring, A3 scoring and A4
Scoring, wherein the A1 scoring indicates the pattern of the cutting flower variety to be evaluated, and the A2 scoring indicates the cut-flower to be evaluated
The flower pattern of kind, A3 scoring indicate the flower diameter of the cutting flower variety to be evaluated, and the A4 scoring indicates described and to be evaluated cuts
The fragrance of a flower of flower variety；
The cutting flower variety evaluation model is called, according to the species data, calculates B1 scoring, B2 scoring and B3 scoring,
In, the B1 scoring indicates the density of blossoming of the cutting flower variety to be evaluated, and the B2 scoring indicates the cut-flower product to be evaluated
The floral leaf contrast of kind, the B3 scoring indicate the spray moulding of the cutting flower variety to be evaluated；
The cutting flower variety evaluation model is called, according to the species data, calculates C1 scoring and C2 scoring, wherein described
C1 scoring indicates the Vase time of the cutting flower variety to be evaluated, and the C2 scoring indicates blooming for the cutting flower variety to be evaluated
Rate；
The cutting flower variety evaluation model is called, according to the species data, calculates D1 scoring and D2 scoring, wherein described
D1 scoring indicates the principal stresses of sprouting of the cutting flower variety to be evaluated, and the D2 scoring indicates that the adopting for cutting flower variety to be evaluated cuts length
Degree.
6. a kind of cutting flower variety evaluating apparatus characterized by comprising
Module is obtained, for obtaining the species data of cutting flower variety to be evaluated；
Index grading module, for determining the cut-flower product to be evaluated according to the species data and cutting flower variety evaluation model
At least one index scoring of kind, wherein the index scoring indicates the cutting flower variety to be evaluated in reflection cut-flower moral character spy
Scoring in the index of sign；
Kind grading module, described in determining according at least one index scoring and the cutting flower variety evaluation model
The kind of cutting flower variety to be evaluated scores, and is scored and the cutting flower variety evaluation model according at least one described index,
Determine the varietY specificity index of the cutting flower variety to be evaluated；
Determination module, for sentencing according to kind scoring, the varietY specificity index and the cutting flower variety evaluation model
Whether the fixed cutting flower variety to be evaluated is specific breeds.
7. cutting flower variety evaluating apparatus according to claim 6, which is characterized in that
The kind grading module is also used to by index scoring described in each of at least one described index scoring, with institute
Preset mainstream index scoring corresponding with the scoring of index described in each in cutting flower variety evaluation model is stated to be compared,
In, mainstream index scoring, which indicates to score with the mainstream index, meets the scoring of public preference in corresponding index；Statistics
Comparison result calculates the varietY specificity index.
8. cutting flower variety evaluating apparatus described in any claim according to claim 6 or 7, which is characterized in that
The determination module is also used to preset the varietY specificity index and first in the cutting flower variety evaluation model
Value is compared, and less than first preset value, is determined as non-specific kind；The varietY specificity index is greater than etc.
In first preset value, the kind is scored and is compared with the second preset value in the cutting flower variety evaluation model
Compared with the kind scoring is more than or equal to second preset value, is determined as the specific breeds, and the kind scoring is less than institute
The second preset value is stated, the non-specific kind is determined as.
9. cutting flower variety evaluating apparatus according to claim 8, which is characterized in that
The index grading module is also used to call the cutting flower variety evaluation model, according to the species data, calculates institute
State A scoring, B scoring, C scoring and the D scoring of cutting flower variety to be evaluated, wherein the A scoring shows the cut-flower product to be evaluated
The blossom character of kind, the B scoring show the whole appreciation effect of the cutting flower variety to be evaluated, and the C scores described in performance
The bottle of cutting flower variety to be evaluated inserts performance, and the D scoring shows the growth characteristics of the cutting flower variety to be evaluated.
10. cutting flower variety evaluating apparatus according to claim 9, which is characterized in that
The index grading module is also used to that the cutting flower variety evaluation model is called to calculate A1 according to the species data
Scoring, A2 scoring, A3 scoring and A4 scoring, wherein the A1 scoring indicates the pattern of the cutting flower variety to be evaluated, the A2
Scoring indicates the flower pattern of the cutting flower variety to be evaluated, and the A3 scoring indicates the flower diameter of the cutting flower variety to be evaluated, described
A4 scoring indicates the fragrance of a flower of the cutting flower variety to be evaluated；The cutting flower variety evaluation model is called, according to the species data,
Calculating B1 scoring, B2 scoring and B3 scoring, wherein the B1 scoring indicates the density of blossoming of the cutting flower variety to be evaluated,
The B2 scoring indicates the floral leaf contrast of the cutting flower variety to be evaluated, and the B3 scoring indicates the cutting flower variety to be evaluated
Spray moulding；The cutting flower variety evaluation model is called, according to the species data, calculates C1 scoring and C2 scoring,
In, the C1 scoring indicates the Vase time of the cutting flower variety to be evaluated, and the C2 scoring indicates the cut-flower product to be evaluated
The flowering rate of kind；The cutting flower variety evaluation model is called, according to the species data, calculates D1 scoring and D2 scoring,
In, the D1 scoring indicates the principal stresses of sprouting of the cutting flower variety to be evaluated, and the D2 scoring indicates the cutting flower variety to be evaluated
Adopt and cut length.
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