CN108416600A - A kind of crops method for anti-counterfeit and device - Google Patents

A kind of crops method for anti-counterfeit and device Download PDF

Info

Publication number
CN108416600A
CN108416600A CN201810251155.0A CN201810251155A CN108416600A CN 108416600 A CN108416600 A CN 108416600A CN 201810251155 A CN201810251155 A CN 201810251155A CN 108416600 A CN108416600 A CN 108416600A
Authority
CN
China
Prior art keywords
crop
crop varieties
platform
varieties
cultivation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810251155.0A
Other languages
Chinese (zh)
Inventor
翁园林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan Nan Bo Network Technology Co Ltd
Original Assignee
Wuhan Nan Bo Network Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan Nan Bo Network Technology Co Ltd filed Critical Wuhan Nan Bo Network Technology Co Ltd
Priority to CN201810251155.0A priority Critical patent/CN108416600A/en
Publication of CN108416600A publication Critical patent/CN108416600A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/018Certifying business or products
    • G06Q30/0185Product, service or business identity fraud
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Agronomy & Crop Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Animal Husbandry (AREA)
  • Human Resources & Organizations (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Mining & Mineral Resources (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Primary Health Care (AREA)

Abstract

The present invention relates to internet agricultural technology field, a kind of crops method for anti-counterfeit and device are provided.Method includes the cultivation crop varieties information for obtaining each farmer and uploading, and the platform account of corresponding each farmer stores corresponding crop varieties information;Platform matches the identical crop condition of crop varieties in cultivation region according to the growth templates of each crop varieties of storage;If similarity confirms that the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted are inconsistent less than preset value between the corresponding growth templates stored to platform by the crop condition of the crop varieties in cultivation region.It proves, to verify kind true and false switch cheating problem that may be present, directly to carry out matching certification from the growth conditions of long-term cropping so that the verification result of platform has higher confidence level the present invention overcomes the existing order by farmer or buying.

Description

A kind of crops method for anti-counterfeit and device
【Technical field】
The present invention relates to internet agricultural technology fields, more particularly to a kind of crops method for anti-counterfeit and device.
【Background technology】
With the introducing of various transgenic technologys and hybridization technique, more and more crop varieties enter the food of every family Spectrum.However, consumer is also to pass different judgements on for the identification of transgenic product self-security, some think that transgenosis is produced Product can eliminate the deficiency in original crop varieties, can bring better mouthfeel and/or more good-looking appearance, it is intended to receive this Class transgenic product;Some consumers then think that transgenic product can cause to dive to the immune system of itself or next-generation child Influence, and contradict transgenic product.
In the prior art, it will not usually go to illustrate whether the dish itself sold is transgenosis in especially real food market, because Even if to have said also without evidence support trusty.On the other hand, the fresh appearance in internet carries for the certification of crop varieties Possible approach is supplied, at this point, the crop varieties information uploaded as the seller of Third Party Authentication C2C by platform is true , to further increase the buying experience of consumer.
Even if however, carrying out the crop varieties authentification of message of trade company's upload as third party by platform in the prior art, together There are larger technical barriers for sample, that is, need to put into great manpower and carry out examining on the spot certification, also, there are larger to evade Loophole, i.e., the trade company intentionally played tricks still can be practised fraud by way of doing account.
In consideration of it, it is the art urgent problem to be solved to overcome the defect present in the prior art.
【Invention content】
The technical problem to be solved by the present invention is to solve the crop varieties letter that platform authentication trade company is uploaded in the prior art Breath is difficult, relatively inefficient, and easy the problem of finding loophole by trade company.
The present invention adopts the following technical scheme that:
In a first aspect, the present invention provides a kind of crops method for anti-counterfeit, obtains the cultivation that each farmer uploads and make article The platform account of kind information, corresponding each farmer stores corresponding crop varieties information;Each cultivation region is additionally provided with real-time prison Camera is controlled, the crop growthing state for recording each cultivation region, including:
Platform matches the identical crop shape of crop varieties in cultivation region according to the growth templates of each crop varieties of storage State;
If similarity is small between the corresponding growth templates stored to platform by the crop condition of the crop varieties in cultivation region In preset value, then confirm that the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted are inconsistent.
Preferably, the identical crop condition of crop varieties in matching cultivation region, specifically includes:
The same kind crop of the crop feature and platform storage of each growth node of crop varieties in matching cultivation region Each growth node crop feature between similarity whether reach the first predetermined threshold value;And/or
Same kind in matching cultivation region on the Annual distribution of each growth node of crop varieties with platform storage is made Whether the similarity between the crop feature of each growth node of object reaches the second predetermined threshold value.
Preferably, between the corresponding growth templates that the crop condition of the crop varieties by cultivation region is stored to platform Similarity be less than preset value, specifically include:
The same kind crop of the crop feature and platform storage of each growth node of crop varieties in matching cultivation region Each growth node crop feature between similarity calculation in, at least there is similarity calculation and be less than the first default threshold Value;And/or
Same kind in matching cultivation region on the Annual distribution of each growth node of crop varieties with platform storage is made Similarity between the crop feature of each growth node of object is less than second predetermined threshold value.
Preferably, between the corresponding growth templates that the crop condition of the crop varieties by cultivation region is stored to platform Similarity be less than preset value, then confirm the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted not Unanimously, it specifically includes:
Similarity between the corresponding growth templates stored to platform by the crop condition of the crop varieties of cultivation first area Less than preset value, and confirm the corresponding growth templates stored to platform by the crop condition of the crop varieties of cultivation second area Similarity is more than preset value, then confirms that the cultivation crop varieties information that farmer is uploaded differs with the crop varieties actually planted It causes;
Wherein, the second area and geographical location residing for the first area are adjacent or similar, also, correspond to institute It is identical to state the crop varieties information that first area and second area are uploaded.
Preferably, between the corresponding growth templates that the crop condition of the crop varieties by cultivation region is stored to platform Similarity be less than preset value, then confirm the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted not Unanimously, it specifically includes:
Similarity between the corresponding growth templates stored to platform by the crop condition of the crop varieties of cultivation first area Less than preset value, and confirm by the crop condition of the crop varieties of cultivation first area and platform storage and firstth area Similarity is more than predetermined threshold value between the growth templates of the different another crop varieties of crop varieties in domain, then confirms farmer institute The cultivation crop varieties information of upload and the crop varieties actually planted are inconsistent.
Preferably, the method further includes growth templates of the platform for the kind of one or more crop got In crop condition be compared;If the similarity-rough set of the first crop varieties and the second crop varieties is big in growth templates In third predetermined threshold value, then the method for anti-counterfeit further includes:
If the first crop varieties with platform storage or the second crop by the crop condition of the crop varieties in cultivation region Similarity is more than preset value between the corresponding growth templates of kind;
The spy of the pathological condition, crop specific yield, crop processed goods that were occurred according to the crop in the cultivation region One or more in sign calculates the individual features template of the first crop varieties and the second crop varieties that it is stored with platform It is matched, to confirm that the crop varieties by cultivation region belong to first crop varieties or second make article Kind, and complete the verification of the crop varieties information by cultivation region uploaded with farmer.
Preferably, confirming that the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted are inconsistent Afterwards, the method further includes:
Platform shows the judging result in its homepage, and each user to log in the platform, which is known, described to be sentenced Disconnected result.
Preferably, confirming that the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted are inconsistent Afterwards, the method further includes:
Platform confirms the price difference between crop varieties, and in the case where purchasing buyer's permission in advance, complete according to corresponding price difference At clearing.
Preferably, confirming that the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted are inconsistent Afterwards, the method further includes:
Platform provides clear chance at least once to the farmer, wherein the farmer is provided by platform Interface uploads clear evidence, so that platform operating personnel are in the case where confirming whether response clarification evidence is enough, determination is The cultivation crop varieties information that the no farmer recalled made by platform is uploaded and the crop varieties actually planted are inconsistent Conclusion.
Second aspect, the present invention also provides a kind of crops false proof devices, for realizing the farming described in first aspect Object method for anti-counterfeit, described device include:
At least one processor;And the memory being connect at least one processor communication;Wherein, described to deposit Reservoir is stored with the instruction that can be executed by least one processor, and described instruction is arranged to carry out first aspect institute by program The crops method for anti-counterfeit stated.
The third aspect, the present invention also provides a kind of nonvolatile computer storage media, the computer storage media Computer executable instructions are stored with, which is executed by one or more processors, for completing first Crops method for anti-counterfeit described in aspect.
The present invention propose it is a kind of verification the uploaded platform of farmer its cultivation region used in seed variety information The method of the true and false, overcome the existing order by farmer or buying prove verify the kind true and false it is that may be present fall Packet cheating problem, directly carries out matching certification from the growth conditions of long-term cropping, and has caught growth node this has The observation object of characterization effect so that the verification result of platform has higher confidence level.
【Description of the drawings】
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will make below to required in the embodiment of the present invention Attached drawing is briefly described.It should be evident that drawings described below is only some embodiments of the present invention, for For those of ordinary skill in the art, without creative efforts, other are can also be obtained according to these attached drawings Attached drawing.
Fig. 1 is a kind of flow diagram of crops method for anti-counterfeit provided in an embodiment of the present invention;
Fig. 2 is a kind of flow diagram of improved crops method for anti-counterfeit provided in an embodiment of the present invention;
Fig. 3 is a kind of structural schematic diagram of crops false proof device provided in an embodiment of the present invention.
【Specific implementation mode】
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
In the description of the present invention, the fingers such as term "inner", "outside", " longitudinal direction ", " transverse direction ", "upper", "lower", "top", "bottom" The orientation or positional relationship shown be based on the orientation or positional relationship shown in the drawings, be merely for convenience of description the present invention rather than It is required that the present invention must be with specific azimuth configuration and operation, therefore it is not construed as limitation of the present invention.
In addition, as long as technical characteristic involved in the various embodiments of the present invention described below is each other not Conflict is constituted to can be combined with each other.
Embodiment 1:
The embodiment of the present invention 1 provides a kind of crops method for anti-counterfeit, and the crops method for anti-counterfeit is primarily directed to kind The behavior of playing tricks for planting family side, is utilized big data tupe, and data information discrete in the prior art is carried out craftsmenship It integrates, to be proposed a kind of efficient crops method for anti-counterfeit, as shown in Figure 1, the method for anti-counterfeit includes:
In step 201, the cultivation crop varieties information that each farmer uploads, the platform account of corresponding each farmer are obtained Store corresponding crop varieties information.
In embodiments of the present invention, the farmer can be exactly the trade company described in background technology, i.e., on platform The object of merchandising and the object for planting corresponding crop are same a group of people.It can also be institute in the farmer and background technology It is to establish the partner for having contract relation between the trade company of description.
In embodiments of the present invention, the crop varieties information include crop whether be transformed variety, crop whether be By hybridizing the kind, the Unified number of crop seed and the price etc. of crop seed that obtain.
In step 202, respectively cultivation region is additionally provided with real time monitoring camera, the crop for recording each cultivation region Growth conditions.
The real time monitoring camera can be integrally fixed at various area peripheral edges, can also be comprising carry camera without The combination of a variety of monitoring camera modes including man-machine.Wherein, it is typical to be often referred to each crop for the crop growthing state Grow node, and the relevant information of corresponding growth node.Such as:Growth node includes germinateing, blooming, as a result, and each life The crop feature showed in long node, such as:The features such as size, color, quantity;And the relevant information for growing node includes Grow the Annual distribution of node, the time that growth node maintains, the quantity etc. for growing node.
In step 203, platform matches crop varieties in cultivation region according to the growth templates of each crop varieties of storage Identical crop condition.
Wherein, the growth templates of each crop varieties can be one or more, even, the life of each crop varieties The difference that long template cultivates region according to crop varieties can store different growth templates accordingly, this is because cultivation region Otherness can bring same kind crop crop condition (such as:Grow the time of occurrence of node, each spy grown on node Sign) on difference between the characteristic that shows.
In step 204, if the corresponding growth templates stored to platform by the crop condition of the crop varieties in cultivation region Between similarity be less than preset value, then confirm the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted It is inconsistent.
Wherein, the preset value can rule of thumb be calculated with statistics, i.e., to ensure can for the setting of its parameter value Enough allow there are certain deviation, can be misjudged by being unlikely to by one should confirm that the case where belonging to same veriety crop occurs, I.e. preset value cannot be too small;The crop that can also avoid originally should not belonging to one same veriety, due to the preset value Setting and be mistaken for same veriety, i.e., preset value cannot be set too big.
The embodiment of the present invention propose it is a kind of verification the uploaded platform of farmer its cultivation region used in seed product The method of the kind information true and false, overcoming the existing order by farmer or buying proves to deposit to verify the kind true and false Switch practise fraud problem, directly carry out matching certification from the growth conditions of long-term cropping, and caught growth node this The one observation object with characterization effect so that the verification result of platform has higher confidence level.
In embodiment 1 it has been explained that crop condition is usually by the growth node of crop and growth node related information structure At, therefore the identical crop condition of crop varieties in matching cultivation region involved in step 203, it can usually be performed It combines, specifically includes for one or more of the following aspects:
1) the crop feature and the same kind of platform storage of each growth node of crop varieties are made in matching cultivation region Whether the similarity between the crop feature of each growth node of object reaches the first predetermined threshold value.At this point, the preset value performance For first predetermined threshold value.
Wherein, there is also the selections of several feasible patterns in specific manner of comparison, such as:Each growth can be directed to Node does similarity calculation, and for each growth node configures the first predetermined threshold value of corresponding judgement (first is pre- at this time If the form of threshold value performance is more like an array).Why need at this time for each growth node configuration corresponding first in advance It is because even for the same crop, the dominant character expressive ability in each growth node is also not if threshold value With, such as:The first predetermined threshold value of flowering phase can be arranged it is smaller because dominant character content at this time is more, and Even and if the otherness of the flower between same kind may also can be larger;And it then can be with for first predetermined threshold value in result stage What is be arranged is larger, because dominant character when its result of the crop of same kind is mostly similar at this time, therefore, is calculated Similarity value can be bigger, is distinguished by similarity calculation so as to the crop preferably with different cultivars.
Accordingly, it is preferred that can include in same kind for the growth node of flowering phase, in the template of platform storage A variety of flowers dominant character, such as:It is petal quantity section, the color type of flower, the shape of flower, pistil quantity section, same Colored quantity section etc. is grown in strain.
2) the same kind in matching cultivation region on the Annual distribution of each growth node of crop varieties with platform storage Whether the similarity between the crop feature of each growth node of crop reaches the second predetermined threshold value.
Wherein, the Annual distribution for growing node is usually expressed as interval value, this is because weather, soil, fertilising etc. because Caused by element, for the crop between different cultivars, or there is some difference that property is utilizable.Therefore, mode 2) Can be as mode 1) the means of supplementing out economy.At this point, the preset value shows as second predetermined threshold value.
It is less than also for the similarity in step 204 default in conjunction with the embodiment of the present invention based on above two analytic angle Value has carried out respective extension elaboration, shows as:
For aforesaid way 1), the crop feature that each growth node of crop varieties in region is cultivated in matching is deposited with platform In similarity calculation between the crop feature of each growth node of the same kind crop of storage, at least there is a similarity meter It calculates and is less than the first predetermined threshold value.It is that the similarity of each growth node matching is respectively less than stages respectively naturally for optimal First predetermined threshold value of setting still during the embodiment of the present invention is realized, by order to ensure certain error, and takes Intermediate number is more to have, i.e., for there is the crop of 4 growth nodes, judges that wherein 2 similarities are less than corresponding first default threshold Value then judges that the two is advisable for non-same crop.
In specific implementation, in addition to may be used it is above-mentioned for growth node carry out similarity-rough set one by one Outside (the first predetermined threshold value at this time shows as array form) mode, one kind can also be used to sum for each growth node, To compare a long and (the first predetermined threshold value at this time shows as single numerical value), details are not described herein.
For aforesaid way 2), matching cultivate region in crop varieties it is each growth node Annual distribution on platform Similarity between the crop feature of each growth node of the same kind crop of storage is less than second predetermined threshold value.
Next, for the mode of the verification in step 204:It is described by cultivation region crop varieties crop condition with Similarity between the corresponding growth templates of platform storage is less than preset value, then confirms the cultivation crop varieties that farmer is uploaded Information and the crop varieties actually planted are inconsistent, additionally provide a kind of Consideration more robust method, can be further Improve the accuracy judged.It specifically includes:
Improve the accuracy mode one judged), by crop condition and the platform storage of the crop varieties of cultivation first area Corresponding growth templates between similarity be less than preset value, and confirm by the crop condition of the crop varieties of cultivation second area It is more than preset value to the corresponding growth templates similarity of platform storage, then confirms the cultivation crop varieties information that farmer is uploaded It is inconsistent with the crop varieties actually planted;Wherein, the second area it is adjacent with geographical location residing for the first area or Person is similar, also, it is identical to correspond to the crop varieties information that the first area and second area are uploaded.
Next, for the mode of the verification in step 204:It is described by cultivation region crop varieties crop condition with Similarity between the corresponding growth templates of platform storage is less than preset value, then confirms the cultivation crop varieties that farmer is uploaded Information and the crop varieties actually planted are inconsistent, additionally provide another Consideration more robust method, can be into one Step improves the accuracy judged.It specifically includes:
Improve the accuracy mode two judged), by crop condition and the platform storage of the crop varieties of cultivation first area Corresponding growth templates between similarity be less than preset value, and confirm by cultivation first area crop varieties crop condition Similarity is big between the growth templates of another crop varieties different with the crop varieties of the first area of platform storage In predetermined threshold value, then confirm that the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted are inconsistent.
Above two improves the accuracy judged by increasing Consideration, the former (improves the accuracy mode one judged) The crop condition planted in same kind, adjacent second area is actually brought into verification growth templates;That is the secondth area Crop in domain can be verified, and the upload information in first area shows to plant the work of identical crop with second area The matching verification of object state does not pass through, then can further assert the crop varieties information that the farmer of the first area is uploaded It is problematic.The latter's (improving the accuracy mode two judged) is actually to have made to supplement verification together, is to calculate to provide in platform side Source is enough, and there are crop varieties used by planting family in sure kind of the growth templates of its own, i.e., by matching and planting The consistent growth templates of the crop varieties planted of family are planted, are false to prove the crop varieties information that farmer is uploaded from front 's.For those skilled in the art, based on the standard that on the basis of disclosure of the embodiment of the present invention, above-mentioned raising is judged True property mode one) and improve the accuracy mode two judged) combine realizations, be without energy under the premise of creative work in fact Existing, therefore, also belong in the protection category of the embodiment of the present invention.
The growth conditions matching process that even embodiment of the present invention is proposed, also not necessarily can 100% obtain it is accurate Answer, therefore, in conjunction with the embodiment of the present invention, there is also a kind of preferred implementations, i.e., carry out quality handle from source growth templates It closes, for just very high two crop varieties of similarity between growth templates, needs well in advance to distinguish and mark, avoid in reality The error hiding between growth templates and growth conditions occurs in the operation of border, to cause the crop varieties finally uploaded to farmer Erroneous judgement.Specifically, as shown in Fig. 2, the method further includes:
In step 301, platform is for the crop in the growth templates of the kind of one or more crop got State is compared.
Wherein, the growth templates of the kind of one or more of crops can be collected and uploaded to by staff On server, which represent the set of " the corresponding growth templates of platform storage " described in step 204 in embodiment 1.
In step 302, if the similarity-rough set of the first crop varieties and the second crop varieties is more than the in growth templates Three predetermined threshold values.
Wherein, the third predetermined threshold value is similar with the preset value in embodiment 1, is by experience and statistical condition meter It obtains.Judge that similarity can be identical as judgment mode in step 204 in embodiment 1 and its expansion scheme in step 302 (such as:It is matched by respective growth templates).Judgement conclusion is show to be stored in platform first in step 302 It is difficult to distinguish in itself between crop varieties and the second crop varieties, is further executing step 303, obtaining being cultivated When the crop varieties in region belong to first crop varieties or the second crop varieties, the accuracy that is judged by above-mentioned raising Mode two then there has been the step 304 in this expansion scheme the case where just can not effectively solving at this time, be specifically described as follows:
In step 303, if by the first crop varieties of the crop condition of the crop varieties in cultivation region and platform storage Or second similarity between the corresponding growth templates of crop varieties be more than preset value.
In step 304, pathological condition, crop specific yield, the work occurred according to the crop in the cultivation region One or more in the feature of object processed goods calculates the first crop varieties that it is stored with platform and the second crop varieties Individual features template is matched, to confirm it is described by cultivation region crop varieties belong to first crop varieties or Second crop varieties, and complete the verification of the crop varieties information by cultivation region uploaded with farmer.
In step 304, it is equivalent to and proposes new combination and judge dimension, the pathological condition that was occurred using crop, Crop specific yield, crop processed goods feature in one or more calculate, wherein the feature of crop processed goods is practical On be grow node spin-off, in certain crop varieties, the feature of the crop processed goods can be shown as example:Decladding Rear rice shape, the Chinese chestnut size etc. taken out.It compares for growth conditions, the feature of the crop processed goods can be with Be considered process producing line on referring now to each " growth conditions " for final products.
In conjunction with the embodiment of the present invention, there is also a kind of preferred implementations, wherein is confirming that farmer is uploaded cultivated After kind crop varieties information and the crop varieties actually planted are inconsistent, the method further includes:
Platform shows the judging result in its homepage, and each user to log in the platform, which is known, described to be sentenced Disconnected result;And/or
Platform confirms the price difference between crop varieties, and in the case where purchasing buyer's permission in advance, complete according to corresponding price difference At clearing.
In conjunction with the embodiment of the present invention, in order to further avoid because between different cultivars crop, similarity judgement is difficult to really Guarantee is not in erroneous judgement (probably due to shooting angle, weather, shooting effect bring reason), is confirming what farmer was uploaded After cultivation crop varieties information and the crop varieties actually planted are inconsistent, the method further includes:
Platform provides clear chance at least once to the farmer, wherein the farmer is provided by platform Interface uploads clear evidence, so that platform operating personnel are in the case where confirming whether response clarification evidence is enough, determination is The cultivation crop varieties information that the no farmer recalled made by platform is uploaded and the crop varieties actually planted are inconsistent Conclusion.The clear process of farmer, it helps platform finds the problem of a whole set of judgement system.
Embodiment 2:
On the basis of proposing a kind of crops method for anti-counterfeit in embodiment 1, the present invention also proposed a kind of agriculture in real time Crop false proof device, as shown in figure 3, device includes:
At least one processor 21;And the memory 22 at least one processor 21 communication connection;Wherein, The memory 22 is stored with the instruction that can be executed by least one processor 21, and described instruction is arranged to carry out by program Crops method for anti-counterfeit described in embodiment 1.
It is worth noting that the contents such as information exchange, implementation procedure between module, unit in above-mentioned apparatus, due to It is based on same design with the processing method embodiment of the present invention, particular content can be found in the narration in the method for the present invention embodiment, Details are not described herein again.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of embodiment is can to lead to It crosses program and is completed to instruct relevant hardware, which can be stored in a computer readable storage medium, storage medium May include:Read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.

Claims (10)

1. a kind of crops method for anti-counterfeit, which is characterized in that the cultivation crop varieties information that each farmer uploads is obtained, it is corresponding each The platform account of farmer stores corresponding crop varieties information;Each cultivation region is additionally provided with real time monitoring camera, is used for The crop growthing state in each cultivation region is recorded, method includes:
Platform matches the identical crop condition of crop varieties in cultivation region according to the growth templates of each crop varieties of storage;
If similarity is less than pre- between the corresponding growth templates stored to platform by the crop condition of the crop varieties in cultivation region If value, then confirm that the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted are inconsistent.
2. crops method for anti-counterfeit according to claim 1, which is characterized in that crop varieties are identical in matching cultivation region Crop condition, specifically include:
Match each of the same kind crop that the crop feature of each growth node of crop varieties and platform store in cultivation region Whether the similarity between the crop feature of a growth node reaches the first predetermined threshold value;And/or
The same kind crop stored with platform on the Annual distribution of each growth node of crop varieties in matching cultivation region Whether the similarity between the crop feature of each growth node reaches the second predetermined threshold value.
3. crops method for anti-counterfeit according to claim 2, which is characterized in that the crop varieties by cultivation region Similarity between the corresponding growth templates that crop condition is stored to platform is less than preset value, specifically includes:
Match each of the same kind crop that the crop feature of each growth node of crop varieties and platform store in cultivation region In similarity calculation between the crop feature of a growth node, at least there is a similarity calculation and be less than the first predetermined threshold value; And/or
The same kind crop stored with platform on the Annual distribution of each growth node of crop varieties in matching cultivation region Similarity between the crop feature of each growth node is less than second predetermined threshold value.
4. crops method for anti-counterfeit according to claim 1, which is characterized in that the crop varieties by cultivation region Similarity between the corresponding growth templates that crop condition is stored to platform is less than preset value, then confirms that farmer is uploaded cultivated Kind crop varieties information and the crop varieties actually planted are inconsistent, specifically include:
It is less than by similarity between the corresponding growth templates that are stored to platform of crop condition of the crop varieties of cultivation first area Preset value, and confirm similar to the corresponding growth templates that platform stores by the crop condition of the crop varieties of cultivation second area Degree is more than preset value, then confirms that the cultivation crop varieties information that farmer is uploaded and the crop varieties actually planted are inconsistent;
Wherein, the second area and geographical location residing for the first area are adjacent or similar, also, corresponding to described the The crop varieties information that one region and second area are uploaded is identical.
5. crops method for anti-counterfeit according to claim 1, which is characterized in that the crop varieties by cultivation region Similarity between the corresponding growth templates that crop condition is stored to platform is less than preset value, then confirms that farmer is uploaded cultivated Kind crop varieties information and the crop varieties actually planted are inconsistent, specifically include:
It is less than by similarity between the corresponding growth templates that are stored to platform of crop condition of the crop varieties of cultivation first area Preset value, and confirm by crop condition and the platform storages of the crop varieties of cultivation first area and the first area Similarity is more than predetermined threshold value between the growth templates of the different another crop varieties of crop varieties, then confirms that farmer is uploaded Cultivation crop varieties information and the crop varieties actually planted it is inconsistent.
6. crops method for anti-counterfeit according to claim 1, which is characterized in that the method further includes platform for obtaining To one or more crop kind growth templates in crop condition be compared;If first in growth templates The similarity-rough set of crop varieties and the second crop varieties is more than third predetermined threshold value, then the method for anti-counterfeit further includes:
If by the first crop varieties or the second crop varieties of the crop condition of the crop varieties in cultivation region and platform storage Similarity is more than preset value between corresponding growth templates;
According to it is described cultivation region crop occurred pathological condition, crop specific yield, crop processed goods feature in One or more, calculate the first crop varieties and the second crop varieties that it is stored with platform individual features template carry out Matching, to confirm that the crop varieties by cultivation region belong to first crop varieties or the second crop varieties, and Complete the verification of the crop varieties information by cultivation region uploaded with farmer.
7. crops method for anti-counterfeit according to claim 1, which is characterized in that in the cultivation work for confirming that farmer is uploaded After article kind information and the crop varieties actually planted are inconsistent, the method further includes:
Platform shows the judging result in its homepage, and each user to log in the platform knows the judgement knot Fruit.
8. crops method for anti-counterfeit according to claim 1, which is characterized in that in the cultivation work for confirming that farmer is uploaded After article kind information and the crop varieties actually planted are inconsistent, the method further includes:
Platform confirms the price difference between crop varieties, and in the case where purchasing buyer's permission in advance, completes to tie according to corresponding price difference It calculates.
9. according to crops method for anti-counterfeit described in claim 1, which is characterized in that in the cultivation crop for confirming that farmer is uploaded After kind information and the crop varieties actually planted are inconsistent, the method further includes:
Platform provides clear chance at least once to the farmer, wherein the interface that the farmer is provided by platform Clear evidence is uploaded, so that platform operating personnel are in the case where confirming whether response clarification evidence is enough, it is determined whether remove Return the cultivation crop varieties information that the farmer made by platform the is uploaded conclusion inconsistent with the crop varieties actually planted.
10. a kind of crops false proof device, which is characterized in that device includes:
At least one processor;And the memory being connect at least one processor communication;Wherein, the memory It is stored with the instruction that can be executed by least one processor, described instruction is arranged to carry out claim 1-9 by program and appoints Crops method for anti-counterfeit described in one.
CN201810251155.0A 2018-03-26 2018-03-26 A kind of crops method for anti-counterfeit and device Pending CN108416600A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810251155.0A CN108416600A (en) 2018-03-26 2018-03-26 A kind of crops method for anti-counterfeit and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810251155.0A CN108416600A (en) 2018-03-26 2018-03-26 A kind of crops method for anti-counterfeit and device

Publications (1)

Publication Number Publication Date
CN108416600A true CN108416600A (en) 2018-08-17

Family

ID=63132451

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810251155.0A Pending CN108416600A (en) 2018-03-26 2018-03-26 A kind of crops method for anti-counterfeit and device

Country Status (1)

Country Link
CN (1) CN108416600A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070255502A1 (en) * 2006-05-01 2007-11-01 Pruett Michael A System and method of evaluating crop management
CN104865994A (en) * 2015-03-31 2015-08-26 长沙辣湘缘农业科技有限公司 Intelligent agricultural control method and system
CN106657401A (en) * 2017-02-21 2017-05-10 广西力拓农业开发有限公司 Crop growth monitoring platform based on Internet of Things and monitoring method thereof
CN106818100A (en) * 2016-07-29 2017-06-13 新疆农业科学院粮食作物研究所 A kind of method for screening drought-resistant maize germplasm
CN107862686A (en) * 2017-11-03 2018-03-30 黄国华 A kind of plant cultivation system and method based on image recognition

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070255502A1 (en) * 2006-05-01 2007-11-01 Pruett Michael A System and method of evaluating crop management
CN104865994A (en) * 2015-03-31 2015-08-26 长沙辣湘缘农业科技有限公司 Intelligent agricultural control method and system
CN106818100A (en) * 2016-07-29 2017-06-13 新疆农业科学院粮食作物研究所 A kind of method for screening drought-resistant maize germplasm
CN106657401A (en) * 2017-02-21 2017-05-10 广西力拓农业开发有限公司 Crop growth monitoring platform based on Internet of Things and monitoring method thereof
CN107862686A (en) * 2017-11-03 2018-03-30 黄国华 A kind of plant cultivation system and method based on image recognition

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王玺: "转基因作物检测识别方法", 《新农业》 *
王芳: "种子纯度鉴定方法及其评述", 《中国种业》 *

Similar Documents

Publication Publication Date Title
Nicholas et al. Farm-scale adaptation and vulnerability to environmental stresses: Insights from winegrowing in Northern California
Schipmann et al. Spillovers from modern supply chains to traditional markets: product innovation and adoption by smallholders
Trought et al. Vineyard variability in Marlborough, New Zealand: characterising spatial and temporal changes in fruit composition and juice quality in the vineyard
Marimo et al. Gender and trait preferences for banana cultivation and use in Sub-Saharan Africa: a literature review
Akinnifesi et al. Domesticating and commercialising indigenous fruit and nut tree crops for food security and income generation in Sub-Saharan Africa.
CN113221723B (en) Traceable self-feedback learning urban plant factory
Wardhan et al. Banana and mango value chains
McEwan Sweetpotato seed systems in sub-saharan Africa: A literature review to contribute to the preparation of conceptual frameworks to guide practical interventions for root, tuber and banana seed systems.
Lberté A global strategy for the conservation and use of cacao genetic resources, as the foundation for a sustainable cocoa economy
TWI696926B (en) Establishment and inquiry method of production and sales resume of agricultural product quality
Moss et al. An economic evaluation of SPREAD on Rwanda’s rural population
Zhao et al. US peach producer preference and willingness to pay for fruit attributes
CN108416600A (en) A kind of crops method for anti-counterfeit and device
Wakhare et al. Study of disease identification in pomegranate using leaf detection technique
Das et al. Artificial Intelligence and Internet of Things Based Technological Advancement in Domain of Horticulture 4.0
Feuer Pre-Industrial Ecological Modernization in Agro-Food and Medicine
Mashabela Measuring the relative competitiveness of global deciduous fruit supply chains: South Africa versus Chile
Joyce Supply Chain Quality Improvement-Technologies and Practices to Reduce Bruising
Boubennec Varietal innovation for high quality sweet cherry production
Vuppalapati Specialty Crop Mangoes
Van Mello CONSERVATION AND USE STRATEGIES OF CENTRAL-AMERICAN A. CHERIMOLA DIVERSITY
ABITE Problems and prospect of Potato Production and Marketing a Case Study on Snnpr Gamogofa Zone Chencha Woreda Gendogembela and Doko Yoyera Rural Kebele
KR20220029516A (en) Method and device for providing product information of wild ginseng
TW202240469A (en) Coffee bean maturation identification device
Hussain et al. Enhancing Crop Yield through Weed Density Estimation and Management: A Comprehensive Review

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180817

RJ01 Rejection of invention patent application after publication