CN102419763A - Internet-based method and system for electronically querying plant information - Google Patents
Internet-based method and system for electronically querying plant information Download PDFInfo
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Abstract
The invention discloses an internet-based method and an internet-based system for electronically querying plant information. The method comprises the following steps of: with N servers on the internet and M network terminals, establishing a plant information database; inputting or selecting a directional key word and a characteristic key word, and then querying to judge whether the directional key word is in the plant information database; if the directional key word is not in the plant information database, performing exception error handling; and if the directional key word is in the plant information database, searching the characteristic key word in appointed contents of the directional key word, and outputting plant text data, plant picture data and market message data, which correspond to the retrieval characteristics. The invention has the advantages that: the relevant plant information can be quickly and accurately found according to requirements of a user; and reference can be provided for initial identification of plants.
Description
The present invention is right of priority with PCT/CN2010/077575, October 7 2010 applying date.
Technical field
The present invention relates to a kind of plant information electronic enquiry method and system thereof based on the Internet.
Background technology
Along with the development of society, human application to plant is more and more widely also more and more paid attention to; Simultaneously; Because the refinement of the human society division of labor, the related work person of plant utilization knows little about it for the outer plant knowledge of the industry, adds the convenient relatively not enough prosperity of plant dissemination of information; Make that the application of plant is too single, cause certain wasting of resources.
Therefore, we are necessary that the understanding of advocating plant is further universal, the application of plant are further excavated, to the propagation and the more further improvement innovation of querying method of plant information.There are not books or website can find the complete information such as various uses, attributive character of every kind of plant quickly so far by demands of individuals; Even if " the Chinese Plants will " that our national plant species is the most detailed; Also just more detailed introduction the biological property of plant, the plant utilization does not relate to basically, and will find out the plant of own needs inside; Even if know title, also need labor energy to remove to turn over book and search; Though " Chinese Plants will " and the plant information of relevant industries of existing multiple electronic edition on the network; But several kinds of inquiry modes below they only provide to us: the one, utilize section, genus, three grades of inquiries of name of plant, support inquiry modes such as Chinese name, Latin formal name used at school, title stroke.This mode user need grasp the title of plant exactly, otherwise has no way of doing it, and has used these inquiry modes like " Chinese Plants will---PDF electronic edition ", " Baidu's encyclopaedia " etc.The 2nd, utilize the inquiry of plant application type, the present major part of this method has only tentatively been concluded big two or three types, still need import botanical name then, and is typical in website " Chinese Plants kind information database ", " Chinese Plants image library " etc.The 3rd, conclude several big classifications, list plant commonly used, the plant that this mode user can only passive selection lists.
Generally speaking, the mode of plant inquiry at present is similar, need know that all botanical name goes to search, the plant list that perhaps passive selection is listed, or be to utilize " Baidu " or input such as " google " search engine keyword lookup.But, when we do not know botanical name, when only knowing the demand of oneself; How do we find the plant that needs ourselves? Such as, we want to look for oval-shaped certain kind of plant of petal, can remove to thumb flowers class books; Perhaps online utilizes search engine, and input keyword " oval petal " perhaps " petal is oval " comes the search network information, and we can find; The information major part that search is come out is not the information of plant, and some is a plant information, but not necessarily is exactly that our petal that inquires for is oval-shaped; But the red plant of the oval petal of leaf, perhaps other the plant of " petal " and " ellipse " two keywords occurred; If the common factor of multiple demand; That is just quite difficult; Such as, the aiphyllium that we want, and plantation is suitable for the south growth in park, have flower can view and admire, can be used as cabinet-wood, can purify air, fruit is edible, what if? Involve industries such as ornamental plantation, timber application, environmental protection, agricultural production; Look for what books all to differ and find surely, online input keyword search is also infeasible; In a word, can't find relevant plant information exactly by the needs of oneself at present.
Summary of the invention
Technical matters to be solved by this invention provide a kind of find rapidly and accurately the needed plant information data of user and with the plant information electronic enquiry method and the system thereof based on the Internet of the corresponding market information data of this plant.
Technical scheme of the present invention is: a kind of plant information electronic enquiry method based on the Internet is provided; Comprise and be positioned at N server that comprises CPU and storage unit on the Internet; And be positioned at the plant information electronic enquiry system that M on the Internet includes the network terminal formation of video display unit and input block; Wherein, M and N are positive integers, are characterized in:
(1) sets up the plant information database; Each plant species comprises attributes of vegetation tag file, plant commodity tag file, plant picture information three partial contents of these species as a message unit; Numerous plant species message units stores according to the sequencing (ID numbering) of typing, constitutes the plant information database, is stored in the server; The detailed content that each plant species message unit comprises is following:
(1) attributes of vegetation tag file; It is one of form of herborization information; Be made up of characteristic item and feature, the contained literal of characteristic item is referred to as directed keyword, is equivalent to the title of description object; The contained literal of feature is referred to as characteristic key words, is the literal of the concrete characteristic of description object; Said attributes of vegetation characteristic item contains following content:
. botanical name comprises at least: Latin literary fame and the Chinese name of plant; Also can comprise English name, the Chinese another name;
. the place of production and distribution
. morphological feature comprises: fallen leaves type, growth type and resemblance;
. ecological habit comprises: illumination condition, temperature conditions and moisture condition; Can also comprise suitable soil etc.;
. plant is used, and comprises: afforestation application, environmental protection application, the medicinal application of medical science, forestry use with material and agricultural production application in a kind of or two or more combination wherein;
The attributes of vegetation feature is according to feature description typing on the backstage of different plants, and every Partial Feature content is corresponding with characteristic item;
(2) plant commodity tag file is one of form of herborization merchandise news, is to be made up of commodity characteristic item and commodity feature, and said plant commodity characteristic item has following content:
. botanical name comprises at least: Latin literary fame and the Chinese name of plant; Can also comprise English name, the Chinese another name;
. want to buy information, comprising: want to buy people's name and, one or both in address or the contact method;
. sale information comprises: sell people's name and, one or both in address or the contact method;
. plant merchandise news comprises at least:
Supply of commodities ground and type; Can also comprise in specification and the unit price one or both;
Plant commodity feature is according to commodity feature description typing on the backstage of different plants, and every Partial Feature content is corresponding with characteristic item;
(3) following content is arranged in the plant picture information file:
Botanical name, complete stool picture, leaf picture and floral diagram sheet; Can also comprise fruit and seed picture, chromosome sheet and stem picture;
And set up with picture according to the latin name of botanical name one to one and to link, picture stores with the compressed format tissue;
(2) create the searching system that includes plant unique characteristics, sector application characteristic, marketing characteristic; The list of searching system contains directed keyword and characteristic key words; Wherein directed keyword is the concrete literal of attributes of vegetation characteristic item and plant commodity characteristic item; Characteristic key words is that the common vocabulary of describing characteristic item is gathered, and forms the characteristic key words table, and is corresponding with characteristic item; The characteristic item of the retrieval list of said searching system is following:
(21) characteristic item of plant unique characteristics is following:
. morphological feature
.. the type of falling leaves: comprise fallen leaves and evergreen two types; Can also comprise that half is evergreen;
.. growth type: comprise xylophyta, herbaceous plant and three types of thallose;
.. resemblance: Gent is levied, stem characteristic, Ye Tezheng, flower characteristic, features of fruits and six resemblances of seed characteristics;
. ecological habit
.. illumination condition: the plant desirability at sunshine that comprises the positive, neutrality and shady property Three Estate; The plant desirability at sunshine that can also comprise happiness sun and anti-two other grade of shade;
.. temperature conditions: the plant temperature desirability that comprises tolerance to heat, the gentle cold-resistant Three Estate of happiness; The plant desirability at sunshine that can also comprise happiness heat and extremely cold-resistant two other grade;
.. moisture condition: the plant moisture desirability that comprises drought-enduring, middle life, moisture-proof and aquatic four grades; Can also comprise that drought is given birth to and the plant moisture desirability of two grades of humidogene;
Ecological habit can also comprise suitable soil: wherein comprise soil ph, soil water permeability and three aspect plants of soil fertility demand characteristic to soil;
(22) characteristic item of plant sector application characteristic is following:
. ornamental plantation
.. view and admire type: comprise see flower, see fruit and see three on leaf basic view and admire characteristic;
.. practical type: comprise and cover type, cover green type, plant the Landscape Application classification of five aspects such as hedge class, aromatics and cut-flower class;
.. planting system: comprise three kinds of planting systems such as home decoration, gardens configuration and cool canopy cultivation;
.. the place of planting: comprise concrete place at least, can also comprise land used character;
. environmental protection is used
.. environmental protection purposes: comprise protection applications, antipollution purposes, noise abatement purposes and purify four basic environmental protection such as purposes and use;
The environmental protection purposes can also comprise plant technology: comprise land plant technology (TPS), two environmental organism purification techniques characteristics commonly used at present of hydrophyte technology (APS);
. medical science is medicinal
.. medicinal part: comprise herb, root, stem, leaf, flower, really, kind or skin medicinal part.
.. effect type: comprise induce sweat, heat-clearing, rush down down, in the temperature, dampness dissipating, QI regulating, hemostasis, expelling parasite, help digestion, a kind of in qi-restoratives, preventing phlegm from forming and stopping coughing and the effect of calming the nerves or composite type that they are two or more;
.. medicinal flavor: comprise two nature and flavor characteristics of the property of medicine and flavour of a drug;
.. chemical constitution: comprise a kind of in alkaloid, glycoside, organic acid, tannin, amino acid, protein, carbohydrate and the plant pigment class or combination that they are two or more;
. material is used in forestry
.. wood usage: comprise that engineering is with two big types of material and industrial cut stocks;
.. timber proterties: comprise a kind of in the grain of wood, wood structure, density of wood, wood shrinkage property, strength of wood, the durability of wood and the wood working performance, perhaps wherein two or more combination;
.. log recognition feature: comprise bark characteristic, material table characteristic, trunk cut surface character and four basic recognition features of supplemental characteristic;
.. construct recognition feature: comprise a kind of in conduit or pore, axial parenchyma, pore inclusions, wood radiaftive rays, xylogen, test-tube baby, growth ring and the axial intercellular canal, perhaps wherein two or more combination;
. agricultural production
.. agrotype: comprise field crop, fruit tree and three basic crops types of vegetables;
.. practical: comprise edible composition, nectar source characteristic, grease characteristic and fiber characteristics;
(23) characteristic item of marketing characteristic is following:
. the type of merchandise: comprise seed, bag seedling and basin seedling, can also comprise the plant type of merchandises such as heeling in seedling;
. commercial specification: comprise the nursery stock diameter of a cross-section of a tree trunk 1.3 meters above the ground, the hat width of cloth, highly, can also comprise vegetable seeds or plant unit weight;
. cargo price: the price that comprises Board Lot or unit weight;
(3) in the retrieval list of searching system, choose corresponding keyword, comprise directed keyword and characteristic key words, after server is received the retrieval character request of choosing, in server, carry out following searching step:
(31) in database plant characteristics table, refer to this keyword of attributes of vegetation mark sheet and plant commodity mark sheet inquiry;
(32) find out plant characteristics table and the corresponding species information unit that contains this keyword;
(33) outputting plant species information file comprises this attributes of vegetation feature description, picture information, city's market intelligence;
Searching system comprises " directed keyword retrieval table " and " characteristic key words key "; The content of directed keyword retrieval table respectively with database in characteristic item, the content of characteristic item in the plant commodity mark sheet in the attributes of vegetation mark sheet corresponding one by one, the characteristic key words key is the characteristic key words table that the conclusion of feature gathers formation in the database;
Directed keyword retrieval list comprises botanical name, the place of production and distribution, plant application, biological property and five sports of ecological habit, and each sport is respectively equipped with corresponding retrieval list and launches the hurdle, and the option that launches the hurdle least significant end is characteristic key words; During retrieval; All deployable multistage retrieval list is chosen N keyword (N is greater than zero) in botanical name, the place of production and distribution, plant application, biological property and ecological habit any one; After having selected keyword; Computing machine carries out associative search in " the attributive character table " of each species of database, as long as one of them keyword does not exist, just change the exception error handling processing; If all keywords all exist, then plant written historical materials, plant picture information and city's market intelligence data of all keywords satisfied in output; If N equals zero, then by in the plant Latin name letter A-Z order output database 1000 with interior species data.
Commodity characteristic key window can only use separately; After in the retrieval list hurdle of commodity characteristic, selecting N keyword (N is greater than zero); Computing machine is inquired about this keyword in " the commodity mark sheet " of each commodity of database; If there is this keyword, then plant written historical materials, plant picture information and city's market intelligence data of this keyword satisfied in output; If do not exist, then change the exception error handling processing; If N equals zero, then by in the plant Latin name letter A-Z order output database 1000 with interior species data.
Among the present invention, said plant information database is made up of more than 30,000 plant species message units, and each message unit generates the ID numbering in proper order according to the species information typing, i.e. the corresponding ID numbering in species information unit; The title of plant is as the criterion with latin name; The plant classification of this database is consistent with " Chinese Plants will " middle categorizing system that adopts, and sorts out according to section's genus kind of three ranks of Engler plant classification system.
The present invention also comprises window input retrieval; Input format is " a directed keyword; path relation symbol ... characteristic key words "; All keywords before last path relation symbol all are directed keywords, and search engine is the directed keyword of search in directed keyword index table at first, if not then change the exception error handling processing; If exist, then in this orientation keyword characteristic of correspondence content, search for next keyword; If this keyword does not exist, then change the exception error handling processing; If exist, then the outputting plant unit file.As, input format is " aa/bb ", and wherein " aa " is directed keyword, and " bb " representation feature item is the characteristic key words of " aa ", "/" expression path relation symbol.For accurate pointing; Also can import " aa/bb/cc "; Then " aa " representes the directed keyword of upper level, the directed keyword under " bb " expression " aa " characteristic item, and " cc " expression is positioned the characteristic key words of " bb " characteristic subitem under " aa " characteristic item.With input " aa/bb " be example, and search engine is search directed keyword " aa " in directed keyword index table at first, if not then the error handling processing that change to make an exception; If exist, then search " bb " in this orientation keyword characteristic of correspondence content; If do not have " bb " keyword in " aa " characteristic item characteristic of correspondence content of all plants, then change the exception error handling processing; If exist, then contain the plant unit file output of " bb " keyword in the feature with " aa " characteristic item.Path relation symbol among the present invention also can be used other symbol, as *, # or or the like.
Above-mentioned window inputted search method is to form a complete keyword sets to two keywords, and design can want that the keyword expression of searching is clear accurately to the user like this, like " petal/ellipse "; " leaf/ellipse ", " tree/ellipse ", wherein petal, leaf, tree are directed keywords; Ellipse is a characteristic key words, and will look into petal like hypothesis is oval-shaped flower, input " petal/ellipse " in input window; So, search engine at first in directed keyword index table, is vouched to keyword " petal "; Then, in the description content of " petal ", search " ellipse " again, just can find the needed result for retrieval of user very exactly.
The benefit of this window input method is, expressed user's idea accurately, accurately the needed keyword lookup of searching of user come out simultaneously.If, just can not accurately find the result according to present traditional full-text search method.Such as; Plant by at present traditional certain oval petal of searching method search; Input " petal oval " means that " petal " and " ellipse " two speech occur just searching the user continuously and really want all to have occurred the plant of looking for as long as perhaps contain the plant of " petal " and " ellipse " these two speech; Might leaf be oval just, petal be that leg-of-mutton plant has also been found.If with the keyword beam search method among the present invention; Input keyword " petal/ellipse ", the result contains keyword " petal oval " or the plant of " oval petal " has been searched for out so, the plant of of this sort in addition description petal " petal; imbricate is arranged; ellipse ... ", also can search for out accurately, this is that conventional search methods is not accomplished.
Above-mentioned window input method is based on that special database structure realizes, this database is a message unit with certain kind of plant; Comprise attributes of vegetation tag file, plant commodity tag file, plant picture information three partial contents of these species, every partial content all writes down the information of plant with the mode of form, and each form all is divided into two parts; The one, characteristic item; Corresponding directed keyword, the 2nd, feature, character pair keyword; Wherein characteristic item is the tabulation of hierarchical, contains a plurality of other subordinate relation of level.Such as; The attributes of vegetation tag file; Wherein contain the resemblance item, be subdivided into several characteristic items such as tree-like characteristic, Gent are levied, stem characteristic, Ye Tezheng, flower characteristic, features of fruits, seed characteristics under this again, be subdivided into several characteristic items such as blade quality, single leaf and compound leaf, phyllotaxy type, leaf morphology, end of blade shape, phyllopodium shape, leaf margin shape, vein characteristic under its middle period characteristic item again; During our data typing, must will describe content and insert in the corresponding characteristic item.Like this, predefined project name just becomes directed keyword in the form, and the content of backstage typing just becomes characteristic key words.
The present invention also provides a kind of plant information electronic enquiry system based on the Internet; Comprise and be positioned at N server that comprises CPU and storage unit on the Internet; And be positioned at the plant information electronic enquiry equipment that M on the Internet includes the network terminal formation of video display unit and input block; Wherein, M and N are positive integers;
Retrieval unit is used for the inquiry of network terminal request is responded, and institute's file of depositing that retrieval is relevant with this inquiry from database is to define an output file or file group;
Storage plant species information in each storage unit, i.e. attributes of vegetation tag file, plant commodity tag file is with botanical name in the mark sheet (latin name) picture information file one to one.
The present invention has been owing to adopted the database building mode of science, and querying method fast, have find rapidly and accurately the needed plant information data of user and with the advantage of the corresponding plant market information of plant information data data.
Description of drawings
Fig. 1 is the frame structure synoptic diagram of querying method of the present invention.
Fig. 2 is the structural representation of plant information database among the present invention.
Fig. 3 is the logical relation synoptic diagram of plant information among the present invention.
Fig. 4 is the inquiry block diagram that utilizes a keyword of retrieval window input.
Fig. 4-the 1st utilizes the retrieval window to import the inquiry block diagram of a directed keyword and characteristic key words.
Fig. 5 is that the present invention adopts the total interface synoptic diagram when choosing inquiry.
Fig. 6 is the inquiry block diagram of in Fig. 5, choosing behind a plurality of keywords.
Fig. 7 is the Query Result synoptic diagram.
Fig. 8 belongs to kind of a query interface synoptic diagram by the section in the botanical name.
Fig. 9 is the query interface synoptic diagram with section's condition by name.
Figure 10 is to be the query interface synoptic diagram of condition with the generic name.
Figure 11 is to plant the query interface synoptic diagram of condition by name.
Figure 12 is with the place of production and is distributed as the query interface synoptic diagram of condition.
Figure 13 is to be condition query interface synoptic diagram with the plant application characteristic.
Figure 14 is that biological property is the query interface synoptic diagram of condition.
Figure 15 is to be the query interface synoptic diagram of condition with the plant ecological habit.
Figure 16 is information inquiry interface, market and the synoptic diagram as a result among the present invention.
Figure 17 is the structural representation of the inquiry system among the present invention.
Embodiment
See also Fig. 1, Fig. 1 is the frame structure synoptic diagram of querying method of the present invention.Notebook data storehouse plant variety reaches kind more than 30,000, and after selecting to be provided with through section, genus, three grades of classifications of kind, each rank is no more than 400 options, has improved the convenience of retrieval greatly.
The structure of plant information database is as shown in Figure 2, and entire database is made up of many (being illustrated as 35000 among the figure) plant species message unit; Each message unit comprises three contents of attributive character file, commodity tag file, picture information of certain plant species; The attributes of vegetation tag file comprises attributes of vegetation mark sheet, attributive character text message again, and with picture information in corresponding plant picture set up and link; Plant commodity tag file comprises plant commodity mark sheet, commodity characteristic text message, businessman and introduces text message, and with picture information in corresponding commodity picture set up and link.
Fig. 3 is the logical relation synoptic diagram of plant information among the present invention.With reference to Engler plant classification system, and with " section " above category level omission, extraction section, genus, three basic taxonomical units of kind are sorted out 30,000 various plants in the database step by step; Tell two branches of attributes of vegetation characteristic and commodity characteristic under each plant species again; The attributes of vegetation characteristic comprises attribute description (keyword is corresponding in its keyword and the attributive character retrieval list), and sets up with corresponding plant picture and to link; Plant commodity characteristic comprises that descriptive labelling (keyword is corresponding in its keyword and the commodity characteristic key list), businessman describe, and sets up with corresponding commodity picture and to link.
Plant retrieval of the present invention has dual mode, and searching system launches to choose in the hurdle list keyword or retrieval window input keyword.
First kind of inquiry mode among the present invention chosen the keyword query mode.This inquiry system includes the multistage plant characteristics retrieval list of plant unique characteristics, sector application characteristic, marketing characteristic; (being exemplified as the retrieval list that " plant application " retrieval launches the hurdle among the figure) as shown in Figure 5, it comprises botanical name (being the vegetation title among the figure), the place of production and distribution, plant application (being that vegetation is used among the figure), biological property, ecological habit and six sports of commodity characteristic.Wherein, botanical name (being the vegetation title among the figure), the place of production and distribution, plant are used (using for vegetation among the figure), biological property and ecological habit and can choose separately, also can compoundly choose, and when choosing separately, the retrieving in server is as shown in Figure 4; During compound choosing (two above keywords); Its retrieving in server is as shown in Figure 6, in the accessing database " the attributive character table " of all species, looks into first keyword whether in table; If there is not first keyword, then change the exception error handling processing; If there is first keyword, then all species information unit that contain this keyword are generated the first temporary file group; If after this keyword, also there is other keyword, then in first temporary file, searches other keyword successively in all species attribute mark sheets, and generate the N temporary file; Inquiry N+1 keyword in all species attribute mark sheets in the N temporary file; If there is not the N+1 keyword; Then change the exception error handling processing,, then directly all species information in the N temporary file are exported according to the order of plant latin name A-Z successively if exist.
Second kind of inquiry mode among the present invention, retrieval window input keyword.This inquiry system is the same with first kind, and difference is: the one, and this inquiry mode need not be clicked the expansion hurdle and remove to choose keyword, but directly in input frame, imports keyword; The 2nd, this inquiry mode is only supported keyword of input in an input frame, can not can in same query window, choose two above keywords as first kind of mode.
Among the present invention, said botanical name is to sort out according to section's genus kind of three ranks, and each rank is arranged by alphabetical A-Z again, if the initial of botanical name is identical, and then second word A-Z arrangement more whenever, by that analogy.
The present invention also comprises second kind of window input retrieval; Shown in Fig. 4-1; Input format is " directed keyword, a path relation symbol ... characteristic key words ", and all keywords before last path relation symbol all are directed keywords; Search engine is the directed keyword of search in directed keyword index table at first, if not then change the exception error handling processing; If exist, then in this orientation keyword characteristic of correspondence content, search for next keyword; If this keyword does not exist, then change the exception error handling processing; If exist, then the outputting plant unit file.As, input format is " aa/bb ", and wherein " aa " is directed keyword, and " bb " representation feature item is the characteristic key words of " aa ", "/" expression path relation symbol.For accurate pointing; Also can import " aa/bb/cc "; Then " aa " representes the directed keyword of upper level, the directed keyword under " bb " expression " aa " characteristic item, and " cc " expression is positioned the characteristic key words of " bb " characteristic subitem under " aa " characteristic item.With input " aa/bb " be example, and search engine is search directed keyword " aa " in directed keyword index table at first, if not then the error handling processing that change to make an exception; If exist, then search " bb " in this orientation keyword characteristic of correspondence content; If do not have " bb " keyword in " aa " characteristic item characteristic of correspondence content of all plants, then change the exception error handling processing; If exist, then contain the plant unit file output of " bb " keyword in the feature with " aa " characteristic item.Path relation symbol among the present invention also can be used other symbol, as *, # or or the like.
Above-mentioned window inputted search method is to form a complete keyword sets to two keywords, and design can want that the keyword expression of searching is clear accurately to the user like this, like " petal/ellipse "; " leaf/ellipse ", " tree/ellipse ", wherein petal, leaf, tree are directed keywords; Ellipse is a characteristic key words, and will look into petal like hypothesis is oval-shaped flower, input " petal/ellipse " in input window; So, search engine at first in directed keyword index table, is vouched to keyword " petal "; Then, in the description content of " petal ", search " ellipse " again, just can find the needed result for retrieval of user very exactly.
Second kind of window input search method among the present invention; Need to set up two concordance lists at database in advance, a directed keyword index table, one is the characteristic key words concordance list; So-called directed keyword is meant the title of description object, and so-called characteristic key words is meant the attributive character of description object; Behind the input keyword, first keyword of search engine acquiescence input is directed keyword, and all the other are characteristic key words, and search engine is search first keyword in directed keyword index table at first, if there is not this first keyword, then changes the exception error handling processing; If there is first keyword, then will contains this keyword All Files and generate the first temporary file group; In the first temporary file group, search characteristic key words successively again, export final act according to the result who searches for.
Above-mentioned window inputted search method is two crucial contaminations, forms a complete keyword sets; Can want that the keyword expression of searching is clear accurately to the user; Like " petal/ellipse ", " leaf/ellipse ", " tree/ellipse "; Wherein petal, leaf, tree are directed keywords, and ellipse is a characteristic key words.
The benefit of this window input method is, expressed user's idea accurately, accurately the needed keyword lookup of searching of user come out simultaneously.If, just can not accurately find the result according to present traditional full-text search method.Such as; Plant by at present traditional certain oval petal of searching method search; Input " petal oval " means that " petal " and " ellipse " two speech occur just searching the user continuously and really want all to have occurred the plant of looking for as long as perhaps contain the plant of " petal " and " ellipse " these two speech; Might leaf be oval just, petal be that leg-of-mutton plant has also been found.If with the keyword beam search method among the present invention; Input keyword " petal/ellipse ", the result contains keyword " petal oval " or the plant of " oval petal " has been searched for out so, contain in addition similar these situation plant " petal; imbricate is arranged; ellipse ... ", also can search for out, this is that conventional search methods is not accomplished.
The realization of above-mentioned window input method; Can use following system; At first the structure of database is distinguished with the general data storehouse to some extent; This database is a message unit with certain kind of plant, comprises attributes of vegetation tag file, plant commodity tag file, plant picture information three partial contents of these species, and every partial content all writes down the information of plant with the mode of form.Such as; The attributes of vegetation tag file; Wherein contain resemblance form hurdle; Be subdivided into a plurality of description bars such as tree-like characteristic, Gent are levied, stem characteristic, Ye Tezheng, flower characteristic, features of fruits, seed characteristics again,, can continue segmentation if also have the description object of different next stage in some description bar.Such as; In the leaf feature description hurdle; Be subdivided into a plurality of description bars such as blade quality, single leaf and compound leaf, phyllotaxy type, leaf morphology, end of blade shape, phyllopodium shape, leaf margin shape, vein characteristic again, during our data typing, must will describe content and insert in the corresponding column so.Like this, when setting up the number storehouse, also to set up directed keyword index table and characteristic key words concordance list.
Referring to Fig. 7, Fig. 7 is the lookup result synoptic diagram of individual event inquiry or combination in any inquiry among Fig. 5, clicks corresponding " checking " link, can see character introduction relevant with these species or picture or city's market intelligence.
Referring to Fig. 8 to Figure 11; Fig. 8 is the total synoptic diagram of inquiry mode of plant section, genus, the drop-down selection of kind title; It is to select successively according to plant section name, generic name, kind name, obtains comprising written historical materials, picture information and the corresponding city market intelligence data of target plant at last.Be that example describes to search this plant of two wings, six wood-pavements among Fig. 9-Figure 11; Selection section name (Caprifoliaceae) at first; Select generic name (Abelia) then; Select kind of a name (two wing Abelia bifloras) again, be the species title of inquiry, the plant information output (saving final step in the exemplary plot) that final system will be relevant with " two wing Abelia bifloras ".
See also Figure 12, Figure 12 is with the plant place of production and is distributed as the synoptic diagram that characteristic is retrieved.The place of production of plant and distribution are provided with querying condition according to China, whole world country, three kinds of geographic distribution situation of global climate band, and the geographic distribution of China is refined to provinces and regions level administrative grade, and distribution on global is refined to each country.
See also Figure 13; Figure 13 inquires about with the plant application characteristic; Directly use trade classification comparatively widely according to plant, have that ornamental plantation, environmental protection application, medical science are medicinal, forestry is with five big types of material, agricultural productions, segment a plurality of other groups of level again in each big type.Only need during inquiry before corresponding square frame, to beat " √ ", searching red flower with ornamental plantation among the figure is the example explanation.
See also Figure 14, Figure 14 inquires about with biological property, mainly contains growth type, fallen leaves type, resemblance three major types querying condition, segments a plurality of other groups of level in each big class again.Be to illustrate querying method for " autumn flower " among the figure, only need before corresponding square frame, beat during inquiry " √ " with florescence of resemblance.
See also Figure 15, Figure 15 is with the ecological habit inquiry, and ecological habit mainly contains the query characteristics of the speed of growth, illumination condition, moisture condition, temperature conditions, five big classes of suitable soil, and each big class also has a plurality of other groups of level.Only need before corresponding square frame, to beat during inquiry " √ ".
The present invention can also be with plant market information inquiry; Referring to Figure 16; Its same support is selected to inquire about and the window input inquiry, and the window input inquiry is supported fuzzy query, does not promptly know concrete botanical name; Only need set the characteristics and the requirement of commodity, can find the concrete plant data and the information in market thereof.The information inquiry of botanical name (being the vegetation title among the figure), application type, the plant place of production (being the vegetation title among the figure), the type of merchandise, commercial specification, cargo price, commodity amount, commodity photo, 9 kinds of modes of information type is arranged; Every kind of mode both can independently be inquired about, and also can combine inquiry.Be that the selection place of production is the comprehensive inquiry of " diameter of a cross-section of a tree trunk 1.3 meters above the ground 6-10 centimetre " for " Guangxi ", commercial specification among the figure, the right is the Query Result signal among the figure.
See also Figure 17, Figure 17 is the structural representation of this inquiry system in bright.Can know from figure; Plant information electronic enquiry system among the present invention based on the Internet; Comprise and be positioned at N server that comprises CPU and storage unit on the Internet; And be positioned at M plant information electronic enquiry equipment that includes the network terminal formation of video display unit and input block on the Internet, wherein, M and N are positive integers;
Retrieval unit is used for the inquiry of network terminal request is responded, and institute's file of depositing that retrieval is relevant with this inquiry from database is to define an output file or file group.
In order to accomplish the present invention, the user that the applicant understands plant to needs has carried out analytic induction, and the crowd is divided into three major types, and the one, ruck, the 2nd, the worker of plant application industry, the 3rd, botanist and plant research worker.To these three types of crowds, the applicant has also done corresponding analysis to their demand:
First kind ruck mainly is floriculture at home and fan, and they want to be appreciated that the characteristics of viewing and admiring, cultivation maintenance knowledge, city's market intelligence etc. of plant.
Second type of crowd wants to understand the plant knowledge relevant with own industry and city's market intelligence.The direct utilization of plant through conclude summing up, mainly contains the following aspects: afforestation, environmental protection, medical science are medicinal, forestry is with material, agricultural production.Afforestation, mainly involve plant view and admire type, application type, planting system, the feature of plant and the application characteristic of four aspects, place of planting; Environmental protection relates generally to purposes, at present commonly used plant green technology, the plant species of plant in environmental protection and protects three contents; Medical science is medicinal, with reference to theories of Chinese materia medica, mainly according to five aspects such as plant medicinal part, effect type, medicinal nature and flavor, toxicity, chemical constitutions the medicinal characteristics of plant is concluded; Material is used in forestry, from wood usage, log recognition feature, structure recognition feature, four aspects of timber proterties the direct application characteristic of plant in forestry is concluded; Agricultural production; The plant that is primarily aimed in crop type, the conclusion agricultural production of two aspects of practical is used; Crops are sorted out in the classification that crop type is correlated with according to agronomy; Practical is mainly concluded according to the feature of plant on the agricultural use, and edible composition, nectar source characteristic, grease characteristic, fiber characteristics four big practical are arranged.More than the application of 5 aspects; Not to impose uniformity without examining individual cases, but be related mutually, as needing plant characteristic such as environmental protection antipollution in the afforestation yet; Comprised medicinal plant etc. in the agricultural production; Native system is mainly concluded the plant characteristic of its application according to trade division, and characteristic such as antipollution is included environmental protection in and used in the afforestation, and the medicinal plant in the agricultural production is independent, and to include medical science in medicinal.
The 3rd type of crowd, botanist and plant research worker, this type crowd have the plant knowledge of specialty, and be very deep to the understanding of plant, mainly is partial to the discriminating, classification of plant etc., and the Preliminary Identification that native system can be plant variety provides reference.
According to above-mentioned user's request, designed new inquiry system; Mainly adopted the 5+1 inquiry system: botanical name inquiry, the place of production and the inquiry that distributes, the inquiry of plant application characteristic, biological property inquiry, 5 kinds of fixed character inquiries of ecological habit inquiry, 1 dynamic information inquiry---plant market information inquiry.5 kinds of fixed character both can be inquired about separately, and the inquiry of also can interosculating can solve present insurmountable problems such as inter-trade inquiry, various plant characteristics comprehensive inquiries like this; Market information inquiry is an inquiry mode independently, cannot combine with 5 kinds of fixed character inquiries.No matter find target plant through which kind of mode in the native system, the target plant data in the database all is to be divided into three parts to describe, the one, and character introduction, the 2nd, picture information, the 3rd, city's market intelligence is interosculated the market practice like this with theoretical data.
Set up corresponding plant database; The front of setting up of database specifies, and repeats no more here.
Like this,, and combine corresponding plant information database, successfully solved the difficult problem of present inquiry plant, accomplish that the user accurately and quickly finds the plant of own needs according to the demand of oneself through the innovation of retrieval mode.
Claims (7)
1. plant information electronic enquiry method based on the Internet; Comprise and be positioned at N server that comprises CPU and storage unit on the Internet; And be positioned at the plant information electronic enquiry system that M on the Internet includes the network terminal formation of video display unit and input block; Wherein, M and N are positive integers, it is characterized in that:
(1) sets up the plant information database; Each plant species comprises attributes of vegetation tag file, plant commodity tag file, plant picture information three partial contents of these species as a message unit; Numerous plant species message units stores according to the sequencing (ID numbering) of typing, constitutes the plant information database, is stored in the server; The detailed content that each plant species message unit comprises is following:
(1) attributes of vegetation tag file; It is one of form of herborization information; Be made up of characteristic item and feature, the contained literal of characteristic item is referred to as directed keyword, is equivalent to the title of description object; The contained literal of feature is referred to as characteristic key words, is the literal of the concrete characteristic of description object; Said attributes of vegetation characteristic item contains following content:
. botanical name comprises at least: Latin literary fame and the Chinese name of plant; Also can comprise English name, the Chinese another name;
. the place of production and distribution
. morphological feature comprises: fallen leaves type, growth type and resemblance;
. ecological habit comprises: illumination condition, temperature conditions and moisture condition; Can also comprise suitable soil etc.;
. plant is used, and comprises: afforestation application, environmental protection application, the medicinal application of medical science, forestry use with material and agricultural production application in a kind of or two or more combination wherein; The attributes of vegetation feature is according to feature description typing on the backstage of different plants, and every Partial Feature content is corresponding with characteristic item;
(2) plant commodity tag file is one of form of herborization merchandise news, is to be made up of commodity characteristic item and commodity feature, and said plant commodity characteristic item has following content:
. botanical name comprises at least: Latin literary fame and the Chinese name of plant; Can also comprise English name, the Chinese another name;
. want to buy information, comprising: want to buy people's name and, one or both in address or the contact method;
. sale information comprises: sell people's name and, one or both in address or the contact method;
. plant merchandise news comprises at least:
Supply of commodities ground and type; Can also comprise in specification and the unit price one or both;
Plant commodity feature is according to commodity feature description typing on the backstage of different plants, and every Partial Feature content is corresponding with characteristic item;
(3) following content is arranged in the plant picture information file:
Botanical name, complete stool picture, leaf picture and floral diagram sheet; Can also comprise fruit and seed picture, chromosome sheet and stem picture;
And set up with picture according to the latin name of botanical name one to one and to link, picture stores with the compressed format tissue;
(2) create the searching system that includes plant unique characteristics, sector application characteristic, marketing characteristic; The list of searching system contains directed keyword and characteristic key words; Wherein directed keyword is the concrete literal of attributes of vegetation characteristic item and plant commodity characteristic item; Characteristic key words is that the common vocabulary of describing characteristic item is gathered, and forms the characteristic key words table, and is corresponding with characteristic item; The characteristic item of the retrieval list of said searching system is following:
(21) characteristic item of plant unique characteristics is following:
. morphological feature
.. the type of falling leaves: comprise fallen leaves and evergreen two types; Can also comprise that half is evergreen;
.. growth type: comprise xylophyta, herbaceous plant and three types of thallose;
.. resemblance: Gent is levied, stem characteristic, Ye Tezheng, flower characteristic, features of fruits and six resemblances of seed characteristics;
. ecological habit
.. illumination condition: the plant desirability at sunshine that comprises the positive, neutrality and shady property Three Estate; The plant desirability at sunshine that can also comprise happiness sun and anti-two other grade of shade;
.. temperature conditions: the plant temperature desirability that comprises tolerance to heat, the gentle cold-resistant Three Estate of happiness; The plant desirability at sunshine that can also comprise happiness heat and extremely cold-resistant two other grade;
.. moisture condition: the plant moisture desirability that comprises drought-enduring, middle life, moisture-proof and aquatic four grades; Can also comprise that drought is given birth to and the plant moisture desirability of two grades of humidogene;
Ecological habit can also comprise suitable soil: wherein comprise soil ph, soil water permeability and three aspect plants of soil fertility demand characteristic to soil;
(22) characteristic item of plant sector application characteristic is following:
. ornamental plantation
.. view and admire type: comprise see flower, see fruit and see three on leaf basic view and admire characteristic;
.. practical type: comprise and cover type, cover green type, plant the Landscape Application classification of five aspects such as hedge class, aromatics and cut-flower class;
.. planting system: comprise three kinds of planting systems such as home decoration, gardens configuration and cool canopy cultivation;
.. the place of planting: comprise concrete place at least, can also comprise land used character;
. environmental protection is used
.. environmental protection purposes: comprise protection applications, antipollution purposes, noise abatement purposes and purify four basic environmental protection such as purposes and use;
The environmental protection purposes also comprises plant technology: comprise land plant technology, technological two the environmental organism purification techniques characteristics commonly used at present of hydrophyte;
. medical science is medicinal
.. medicinal part: comprise herb, root, stem, leaf, flower, really, kind or skin medicinal part.
.. effect type: comprise induce sweat, heat-clearing, rush down down, in the temperature, dampness dissipating, QI regulating, hemostasis, expelling parasite, help digestion, a kind of in qi-restoratives, preventing phlegm from forming and stopping coughing and the effect of calming the nerves or composite type that they are two or more;
.. medicinal flavor: comprise two nature and flavor characteristics of the property of medicine and flavour of a drug;
.. chemical constitution: comprise a kind of in alkaloid, glycoside, organic acid, tannin, amino acid, protein, carbohydrate and the plant pigment class or combination that they are two or more;
. material is used in forestry
.. wood usage: comprise that engineering is with two big types of material and industrial cut stocks;
.. timber proterties: comprise a kind of in the grain of wood, wood structure, density of wood, wood shrinkage property, strength of wood, the durability of wood and the wood working performance, perhaps wherein two or more combination;
.. log recognition feature: comprise bark characteristic, material table characteristic, trunk cut surface character and four basic recognition features of supplemental characteristic;
.. construct recognition feature: comprise a kind of in conduit or pore, axial parenchyma, pore inclusions, wood radiaftive rays, xylogen, test-tube baby, growth ring and the axial intercellular canal, perhaps wherein two or more combination;
. agricultural production
.. agrotype: comprise field crop, fruit tree and three basic crops types of vegetables;
.. practical: comprise edible composition, nectar source characteristic, grease characteristic and fiber characteristics;
(23) characteristic item of marketing characteristic is following:
. the type of merchandise: comprise seed, bag seedling and basin seedling, can also comprise the plant type of merchandises such as heeling in seedling;
. commercial specification: comprise the nursery stock diameter of a cross-section of a tree trunk 1.3 meters above the ground, the hat width of cloth, highly, can also comprise vegetable seeds or plant unit weight;
. cargo price: the price that comprises Board Lot or unit weight;
(3) in the retrieval list of searching system, choose corresponding keyword, comprise directed keyword and characteristic key words, after server is received the retrieval character request of choosing, in server, carry out following searching step:
(31) in database plant characteristics table, refer to this keyword of attributes of vegetation mark sheet and plant commodity mark sheet inquiry;
(32) find out plant characteristics table and the corresponding species information unit that contains this keyword;
(33) outputting plant species information file comprises this attributes of vegetation feature description, picture information, city's market intelligence;
Searching system comprises " directed keyword retrieval table " and " characteristic key words key "; The content of directed keyword retrieval table respectively with database in characteristic item, the content of characteristic item in the plant commodity mark sheet in the attributes of vegetation mark sheet corresponding one by one, the characteristic key words key is the characteristic key words table that the conclusion of feature gathers formation in the database;
Directed keyword retrieval list comprises botanical name, the place of production and distribution, plant application, biological property and five sports of ecological habit, and each sport is respectively equipped with corresponding retrieval list and launches the hurdle, and the option that launches the hurdle least significant end is characteristic key words; During retrieval; All deployable multistage retrieval list is chosen N keyword (N is greater than zero) in botanical name, the place of production and distribution, plant application, biological property and ecological habit any one; After having selected keyword; Computing machine carries out associative search in " the attributive character table " of each species of database, as long as one of them keyword does not exist, just change the exception error handling processing; If all keywords all exist, then plant written historical materials, plant picture information and city's market intelligence data of all keywords satisfied in output.
2. the plant information electronic enquiry method based on the Internet according to claim 1; It is characterized in that: also comprise window input retrieval; Botanical name, the place of production and distribution, plant application, biological property and ecological habit and six sports of commodity characteristic corresponding in the retrieval list of multistage plant characteristics query option system are respectively equipped with corresponding retrieval window; During retrieval, all can import a keyword in any one the retrieval window in botanical name, the place of production and distribution, plant application and biological property, carry out associative search,, just change the error handling processing that makes an exception as long as one of them keyword does not exist; If all keywords all exist, then plant written historical materials, plant picture information and city's market intelligence data of all keywords satisfied in output; The retrieval window of commodity characteristic can only use separately; Behind the retrieval window input keyword of commodity characteristic; This keyword of inquiry in above-mentioned database, if there is this keyword, then plant written historical materials, plant picture information and city's market intelligence data of this keyword satisfied in output; If do not exist, then change the exception error handling processing.
3. the plant information electronic enquiry method based on the Internet according to claim 1; It is characterized in that: also comprise window input retrieval; Input format is " directed keyword, a path relation symbol ... characteristic key words ", and all keywords before last path relation symbol all are directed keywords; Search engine is the directed keyword of search in directed keyword index table at first, if not then change the exception error handling processing; If exist, then in this orientation keyword characteristic of correspondence content, search for next keyword; If this keyword does not exist, then change the exception error handling processing; If exist, then the outputting plant unit file.
4. according to claim 1,2 or 3 described plant information electronic enquiry methods based on the Internet; It is characterized in that: said plant information database; Formed by more than 30,000 plant species message units; Each message unit generates the ID numbering in proper order according to the species information typing, i.e. the corresponding ID numbering in species information unit; The title of plant is as the criterion with latin name, and Chinese name and English name are only as the aid identification title; The plant classification of this database is consistent with " Chinese Plants will " middle categorizing system that adopts, and sorts out according to section's genus kind of three ranks of Engler plant classification system.
5. plant information electronic enquiry system based on the Internet; Comprise and be positioned at N server that comprises CPU and storage unit on the Internet; And be positioned at the plant information electronic enquiry equipment that M on the Internet includes the network terminal formation of video display unit and input block; Wherein, M and N are positive integers;
Retrieval unit is used for the inquiry of network terminal request is responded, and institute's file of depositing that retrieval is relevant with this inquiry from database is to define an output file or file group;
Central processing unit responds to inquiry, and search condition is carried out logical operation;
In storage unit, store the plant information database, i.e. attributes of vegetation tag file, plant commodity tag file, with botanical name in the mark sheet, i.e. latin name picture information file one to one.
6. the plant information electronic enquiry system based on the Internet according to claim 5; It is characterized in that: said plant information database; Formed by more than 30,000 plant species message units; Each message unit generates the ID numbering in proper order according to the species information typing, i.e. the corresponding ID numbering in species information unit; The title of plant is as the criterion with latin name, and Chinese name and English name are only as the aid identification title; The plant classification of this database is consistent with " Chinese Plants will " middle categorizing system that adopts, and sorts out according to section's genus kind of three ranks of Engler plant classification system.
7. the plant information electronic enquiry system based on the Internet according to claim 5, it is characterized in that: said plant species message unit comprises following content:
(1) attributes of vegetation tag file comprises this attributes of vegetation mark sheet and plant picture, and wherein the attributes of vegetation characteristic contains following content:
. botanical name comprises following content at least:
Latin literary fame of plant and the Chinese name of plant;
. the place of production and distribution
. ecological characteristic comprises following content:
The fallen leaves type, growth type and resemblance;
. ecological habit comprises following content:
Illumination condition, temperature conditions and moisture condition;
. cultivation maintenance knowledge
. plant is used, and comprises following content:
Afforestation application, the medicinal application of medical science, forestry are used and agricultural production application with material;
(2) plant commodity tag file comprises this plant commodity mark sheet, and said plant commodity mark sheet has following content at least:
. botanical name comprises at least
Latin literary fame of plant and the Chinese name of plant;
. want to buy information, the information of wanting to buy comprises at least:
Want to buy people's name with, want to buy the people address or want to buy in people's contact method one or both;
. sale information, sale information comprises at least:
Sell people's name with, sell the people address or sell in people's contact method one or both;
. plant merchandise news comprises at least:
Supply of commodities ground and commercial specification;
(3) plant picture information file wherein has following content at least:
. complete stool picture, leaf picture, floral diagram sheet;
And set up link according to the latin name in the botanical name one to one, picture stores with the compressed format tissue.
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| PCT/CN2010/077575 WO2012045205A1 (en) | 2010-10-07 | 2010-10-07 | Electronic query method for plant information based on internet and system thereof |
| CNPCT/CN2010/077575 | 2010-10-07 | ||
| CN2011103215849A CN102419763A (en) | 2010-10-07 | 2011-10-05 | Internet-based method and system for electronically querying plant information |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102880813A (en) * | 2012-10-19 | 2013-01-16 | 万俊松 | Microbial rhizobium USDA110 for degrading pollutant succinonitrile and same-genus codon library of microbial rhizobium USDA110 |
| CN103914529A (en) * | 2014-03-31 | 2014-07-09 | 百度在线网络技术（北京）有限公司 | Search displaying method and search displaying device |
| CN104484408A (en) * | 2014-12-16 | 2015-04-01 | 百度在线网络技术（北京）有限公司 | Method and system for searching and processing plant information |
| CN104855096A (en) * | 2015-05-05 | 2015-08-26 | 贵州省农作物品种资源研究所 | Peanut shade-endurance identification method |
| CN106095786A (en) * | 2016-05-28 | 2016-11-09 | 北京花花草草科技有限公司 | A kind of Plant identification and method |
| CN106372196A (en) * | 2016-08-31 | 2017-02-01 | 北京小米移动软件有限公司 | Plantation management method and system and terminal |
| CN107958077A (en) * | 2017-12-13 | 2018-04-24 | 安徽百卉园林有限公司 | A kind of special Flower Resources collection system |
| CN108182280A (en) * | 2018-01-26 | 2018-06-19 | 肖平东 | Search method, server-side and searching system |
| CN108460105A (en) * | 2018-02-06 | 2018-08-28 | 中国农业大学 | A kind of plant data monitoring and managing method and system based on relationship network |
| CN108628899A (en) * | 2017-03-23 | 2018-10-09 | 广州康昕瑞基因健康科技有限公司 | Gene mutation database index method and system |
| CN109165352A (en) * | 2018-08-31 | 2019-01-08 | 深圳春沐源控股有限公司 | The recommended method of varieties of plant, terminal, computer readable storage medium |
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-
2011
- 2011-10-05 CN CN2011103215849A patent/CN102419763A/en active Pending
Non-Patent Citations (3)
| Title |
|---|
| 王彦勋: "《植物计算机检索系统的研究和开发》", 《安徽农业科学》 * |
| 章英才 等: "《宁夏野生经济植物信息系统的结构和功能》", 《植物学通报》 * |
| 韩成峰 等: "《景观植物信息查询系统（LPIIS）的构建》", 《山东林业科技》 * |
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| CN103914529A (en) * | 2014-03-31 | 2014-07-09 | 百度在线网络技术（北京）有限公司 | Search displaying method and search displaying device |
| WO2015149506A1 (en) * | 2014-03-31 | 2015-10-08 | 百度在线网络技术（北京）有限公司 | Search display method and device |
| CN103914529B (en) * | 2014-03-31 | 2016-03-16 | 百度在线网络技术（北京）有限公司 | Search exhibiting method and device |
| CN104484408A (en) * | 2014-12-16 | 2015-04-01 | 百度在线网络技术（北京）有限公司 | Method and system for searching and processing plant information |
| CN104855096A (en) * | 2015-05-05 | 2015-08-26 | 贵州省农作物品种资源研究所 | Peanut shade-endurance identification method |
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| CN108182280A (en) * | 2018-01-26 | 2018-06-19 | 肖平东 | Search method, server-side and searching system |
| CN108182280B (en) * | 2018-01-26 | 2021-10-01 | 肖平东 | Retrieval method, server and retrieval system |
| CN108460105A (en) * | 2018-02-06 | 2018-08-28 | 中国农业大学 | A kind of plant data monitoring and managing method and system based on relationship network |
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Application publication date: 20120418 |