CN106339449B - Object screening method depending on environment analysis - Google Patents

Object screening method depending on environment analysis Download PDF

Info

Publication number
CN106339449B
CN106339449B CN201610720188.6A CN201610720188A CN106339449B CN 106339449 B CN106339449 B CN 106339449B CN 201610720188 A CN201610720188 A CN 201610720188A CN 106339449 B CN106339449 B CN 106339449B
Authority
CN
China
Prior art keywords
sub
matching
destination
screening
environmental
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.)
Active
Application number
CN201610720188.6A
Other languages
Chinese (zh)
Other versions
CN106339449A (en
Inventor
唐亦凡
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.)
United States Of Chengdu Science And Technology Co Ltd
Original Assignee
United States Of Chengdu Science And 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 United States Of Chengdu Science And Technology Co Ltd filed Critical United States Of Chengdu Science And Technology Co Ltd
Priority to CN201610720188.6A priority Critical patent/CN106339449B/en
Publication of CN106339449A publication Critical patent/CN106339449A/en
Application granted granted Critical
Publication of CN106339449B publication Critical patent/CN106339449B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24553—Query execution of query operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/242—Query formulation
    • G06F16/2425—Iterative querying; Query formulation based on the results of a preceding query
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Mining

Abstract

The invention provides an object screening method depending on environment analysis, which comprises the following steps: in step S1, object resources in different areas are obtained to form an object resource database; in step S2, the category of the object to be screened is determined, and the objects that do not meet the condition are filtered by preliminary screening; in step S3, environmental factor information of the source is queried from the database; in step S4, environmental factor information of the destination is inquired from the database; in step S5, the degree of matching of the environmental factors of the object source and destination is determined by three-level matching; in step S6, it is determined whether the screened object has a natural enemy on the food chain affecting its stable growth in the destination environment and whether the screened object will have an effect on the destination environment in the destination environment; and screening whether the object is a preferred object according to the matching result and the result of the step S6 in a step S7. The method can accelerate the process of screening and planting suitable biological species and improve the efficiency and success rate of the work of screening and planting suitable biological species.

Description

Object screening method depending on environment analysis
Technical Field
The invention relates to the field of digital data processing, in particular to an object screening method depending on environment analysis.
Background
Our country is wide in breadth, and is a large country in the world in terms of territorial area, but the cultivated land available for people is limited, and in addition, due to abuse of disasters such as environmental changes and desertification, forest lands and grass lands are phagocytosed in some regions such as northwest. Therefore, the method brings serious adverse consequences to the industries of agriculture, forestry, animal husbandry and the like in China. Although staple grain food is increasing in yield and capable of autonomy throughout the year, economic food such as soybeans, corn, etc. still require a large number of imports. Forest lands and grasslands also need to be changed in the face of desertification to plant organisms in the desertification environment.
For example, in the actual biological variety screening of agriculture, forestry and animal husbandry, there are many technical problems to be solved, such as popularization of a certain biological variety to which places, which seasons are most likely to succeed in? domestication sequence of each region, introduction of a biological variety from which places to which varieties are most likely to succeed? locally, selection of optimal production bases and production bases for any variety, which are more suitable than any variety in? 925, selection of pilot test points of the variety from?, which has a small number of test points and strong representation? varieties with suitable levels and ranks of the wild Chinese medicinal material in the habitat, and selection of optimal production bases in 38932, which selection of the variety pilot test points, and which selection of the variety from which variety is most likely to be successfully achieved, and the success rate of the biological selection of the variety is not improved.
Disclosure of Invention
One of the purposes of the invention is to provide an object screening method depending on environmental analysis, which can comprehensively, accurately and scientifically solve the technical problems in the prior art. The process of screening and planting suitable biological species can be accelerated, and the efficiency and the success rate of the work of screening and planting suitable biological species are improved.
The technical scheme adopted by the invention to solve the technical problems is as follows: a method of object screening relying on environmental analysis, comprising: in step S1, object resources in different areas are obtained to form an object resource database; in step S2, the category of the object to be screened is determined, and the objects that do not meet the condition are filtered by preliminary screening; in step S3, environmental factor information of the source is queried from the database; in step S4, environmental factor information of the destination is inquired from the database; in step S5, the degree of matching of the environmental factors of the object source and destination is determined by three-level matching; in step S6, it is determined whether the screened object has a natural enemy on the food chain affecting its stable growth in the destination environment and whether the screened object will have an effect on the destination environment in the destination environment; and screening whether the object is a preferred object according to the matching result and the result of the step S6 in a step S7.
According to another aspect of the present invention, the determining of the degree of matching of the environmental factors of the source and destination of the object through three-level matching in step S5 includes sub-step S51, sub-step S52, sub-step S53, and sub-step S54; in step S51, primary matching is performed on the information data; in step S52, secondary matching is performed; in step S53, three-level matching is performed; in step S54, adaptation capability matching and analysis of the object are performed.
According to another aspect of the present invention, the performing of the one-level matching on the information data in step S51 includes: in the substep S511, randomly picking out two sources from the sources according to the preliminarily screened objects, and respectively subtracting the kth environmental element from the kth environmental element of the destination; in sub-step S512, the subtracted values are normalized and summed with equal weight; in the substep S513, the above two steps are repeated until all the sources after the preliminary screening are processed; in sub-step S514, the sums are sorted from small to large; in sub-step S515, the first n-1 sources are selected for input to the next step.
According to another aspect of the present invention, the performing of the secondary matching on the information data in step S52 includes: in sub-step S521, environment elements of a total of n places including a source place and a destination place are obtained, wherein the value of the k-th environment element of the i-th place is XkiWhere k is 1, …, m, and i is 1, …, n; in sub-step S522, a comprehensive average value of k environment elements for each of all n points is obtainedWhereinIn sub-step S523, the integrated standard deviation σ of the k environmental elements of each of all the n sites is obtainedkWhereinIn step S524, all the environment elements k of all the sites i are normalized, and all the environment elements k of all the sites x are normalizedkiAll become normalized x'kiWhereinIn sub-step S525, the first matching degrees M of the i-point and the j-point are comparedijWherein the weight occupied by each environment element k of the i and j sites is WkThere are a total of m environmental elements,whereinj is a destination, i is all the places, i is not equal to j; in sub-step S526, M is addedijSorting according to size; in sub-step S527, M is outputijThe first V term of (1), wherein V is an integer.
According to another aspect of the present invention, in the step S53, performing three-level matching includes: in sub-step S531, for M output in sub-step S516ijThe first V term of (2) is related to V sources, and k environmental elements in the first V term are listed as a sequence P ═ P1, P2, … …, pk]The k environment elements of the destination are listed as a sequence Q ═ Q1, Q2, … …, qk](ii) a In sub-step S532, the sub-matching degrees Msubk of the respective k environmental factors of the source and the destination are calculated for V sources, respectively, where:wherein T1 and T2 are the minimum and maximum values, respectively, of the k-th environmental factor for each of the V sites, and T3 is the absolute value of the difference between the k-th environmental factor for each of the source sites and the corresponding k-th environmental factor for the destination in the V sites, and T4 is a coefficient, preferably T4 is 1/U, where U is one of 4/3, 3/2, 2, 3, 4; in sub-step S533, second matching degrees M2 of the V points are calculated, respectivelyijWhereinWhere Weightu is the weight of the u-th of the total k; in sub-step S534, the obtained second matching degrees are sorted; in sub-step S535, the sorted V second degrees of match are output.
According to another aspect of the present invention, in step S54, performing adaptive capability matching and analysis of the object further includes step S541: and evaluating the indexes of the object in the aspects of biological characters, disease resistance, growth period and adaptability, analyzing the environmental adaptability and giving a fourth analysis result.
According to another aspect of the present invention, the screening of whether the object is a preferred object according to the matching result and the result of step S6 in step S7 includes the sub-step S71: if the object belongs to the object which is influenced or can influence the destination in the S6, the object is directly determined to be a non-preferred object. Substep S72: and carrying out weighted summation on the first matching degree, the second matching degree, the third matching degree and the fourth analysis result to obtain a final matching result. Substep S73: if the matching result is higher than a first preset threshold value, screening the object as a preferred object; otherwise, screening the object as a non-preferred object.
The object screening method depending on the environmental analysis can search places suitable for the growth and development of the object, suitable seasons, suitable degree sequences of various places and the like in China and the world, not only can provide accurate analysis data for agriculture, forestry and animal husbandry, but also can accelerate the process of screening and planting suitable biological varieties and improve the efficiency and success rate of the work of screening and planting suitable biological varieties.
Drawings
Embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which:
FIG. 1 illustrates a flow diagram of a method of object screening that relies on environmental analysis, according to an exemplary embodiment of the present invention;
it should be noted that: the drawings are not necessarily to scale.
Detailed Description
In the following description, reference is made to the accompanying drawings that show, by way of illustration, several specific embodiments. It will be understood that: other embodiments are contemplated and may be made without departing from the scope or spirit of the present disclosure. The following detailed description is, therefore, not to be taken in a limiting sense.
Fig. 1 illustrates a flowchart of an object screening method depending on environmental analysis, according to an exemplary embodiment of the present invention.
In step S1, object resources in different areas are obtained to form an object resource database;
in step S2, the category of the object to be screened is determined, and the objects that do not meet the condition are filtered by preliminary screening;
in step S3, environmental factor information of the source is queried from the database;
in step S4, environmental factor information of the destination is inquired from the database;
in step S5, the degree of matching of the environmental factors of the object source and destination is determined by three-level matching;
in step S6, it is determined whether the screened object has a natural enemy on the food chain affecting its stable growth in the destination environment and whether the screened object will have an effect on the destination environment in the destination environment;
in step S7, it is screened whether the object is a preferred object according to the matching result and the result of step S6.
Specifically, in step S1, the object resources in different regions are obtained to form an object resource database, and the object resources in different provinces, states, regions, cities, counties, etc. in the same country or in different regions or countries around the world are collected, and the objects to be analyzed and screened are classified according to the collected object resources, for example, different types of sub-databases are formed according to a biological classification method known in the art.
Specifically, in step S2, the category of the object to be filtered is determined, and examples of filtering the object that does not meet the condition by the preliminary filtering may be, for example: in places with poor water and fertilizer conditions and low soil fertility level, varieties and objects with high stalks, no resistance to side fall and no grass resistance need to be filtered.
Specifically, in step S3, environmental factor information of a source is queried from the database, and in step S4, among the environmental factor information of a destination, environmental factor information includes: weather information, soil information, biological chain information, and the like.
In this context, weather information includes, without limitation: daily average air pressure, maximum air pressure, minimum air pressure, average air temperature, maximum air temperature, minimum air temperature, average relative humidity, minimum relative humidity, average wind speed, maximum wind speed and direction, hours of sunshine, precipitation, and the like.
Herein, soil information includes, without limitation: soil moisture content, fertility, and the like.
In this context, biochain information includes living beings and natural enemies and chains formed upstream and downstream therefrom.
Specifically, in step S5, determining the degree of matching of the environmental factors of the source and destination of the object through three-level matching includes sub-step S51, sub-step S52, sub-step S53, and sub-step S54. In step S51, primary matching is performed on the information data; in step S52, secondary matching is performed; in step S53, three-level matching is performed; in step S54, adaptation capability matching and analysis of the object are performed.
In step S51, performing the one-level matching on the information data includes:
in the substep S511, randomly picking out two sources from the sources according to the preliminarily screened objects, and respectively subtracting the kth environmental element from the kth environmental element of the destination;
in sub-step S512, the subtracted values are normalized and summed with equal weight;
in the substep S513, the above two steps are repeated until all the sources after the preliminary screening are processed;
in sub-step S514, the sums are sorted from small to large;
in sub-step S515, the first n-1 sources are selected for input to the next step.
Through each substep of step S51, the process of accurately screening and planting suitable objects can be accelerated, and the efficiency and success rate of the work of screening and planting suitable objects are improved.
In step S52, performing the secondary matching on the information data includes:
in sub-step S521, environment elements of a total of n places including a source place and a destination place are obtained, wherein the value of the k-th environment element of the i-th place is XkiWhere k is 1, …, m, and i is 1, …, n;
in substep S522, the method determinesIntegrated average of k environmental elements for each of all n sitesWherein
In sub-step S523, the integrated standard deviation σ of the k environmental elements of each of all the n sites is obtainedkWherein
In step S524, all the environment elements k of all the sites i are normalized, and all the environment elements k of all the sites x are normalizedkiAll become normalized x'kiWherein
In sub-step S525, the first matching degrees M of the i-point and the j-point are comparedijWherein the weight occupied by each environment element k of the i and j sites is WkThere are m environmental elements in total, whereinj is a destination, i is all the places, i is not equal to j;
in sub-step S526, M is addedijSorting according to size;
in sub-step S527, M is outputijThe first V term of (1), wherein V is an integer.
Through each sub-step of the step S52, the matching can be accurately carried out, so that the process of accurately screening and planting suitable objects is accelerated, and the working efficiency and success rate of screening and planting suitable objects are improved.
Optionally, but not necessarily, the method may further include step S53. In step S53, performing three-level matching includes:
in sub-step S531, for M output in sub-step S516ijThe top V term of (2) relates to V sources, among whichThe k environmental elements are listed as the sequence P ═ P1, P2, … …, pk]The k environment elements of the destination are listed as a sequence Q ═ Q1, Q2, … …, qk]；
In sub-step S532, the sub-matching degrees Msubk of the respective k environmental factors of the source and the destination are calculated for V sources, respectively, where:wherein T1 and T2 are the minimum and maximum values, respectively, of the k-th environmental factor for each of the V sites, and T3 is the absolute value of the difference between the k-th environmental factor for each of the source sites and the corresponding k-th environmental factor for the destination in the V sites, and T4 is a coefficient, preferably T4 is 1/U, where U is one of 4/3, 3/2, 2, 3, 4;
in sub-step S533, second matching degrees M2 of the V points are calculated, respectivelyijWhereinWhere Weightu is the weight of the u-th of the total k. Preferably, the first and second electrodes are formed of a metal,
in sub-step S534, the obtained second matching degrees are sorted;
in sub-step S535, the sorted V second degrees of match are output.
Through the sub-steps of the step S53, the matching can be further accurately performed on the basis of the steps S51 and S52, so that the process of planting suitable objects can be further rapidly and accurately screened, and the efficiency and success rate of the work of screening suitable objects can be further improved.
In step S54, performing adaptive capability matching and analysis of the object further includes step S541: and evaluating the indexes of the object in the aspects of biological characters, disease resistance, growth period and adaptability, analyzing the environmental adaptability and giving a fourth analysis result.
In step S6, it is determined whether the screened object has a natural enemy in the destination environment that affects its stable growth on the food chain, and whether the screened object will affect the destination environment in the destination environment, for example, in the south america of the origin of water hyacinth, it will cause uncontrolled breeding soon after being introduced into china, and it will be wild in the large and small river channels of the pearl river, the Yangtze river, and the Taihu river basin, and it is also available everywhere along with Beijing, Hebei, Shaanxi, Shandong, and Liaogji black, so that a large amount of water hyacinth crowds the river channels, and poses serious threat to aquaculture and environment. Such objects are therefore not available even if the preliminary screening and matching passes.
Specifically, in step S7, screening whether the object is a preferred object according to the matching result and the result of step S6 includes sub-step S71: if the object belongs to the object which is influenced or can influence the destination in the S6, the object is directly determined to be a non-preferred object.
Step S7 further includes sub-step S72: carrying out weighted summation on the first matching degree, the second matching degree, the third matching degree and the fourth analysis result to obtain a final matching result;
step S7 further includes sub-step S73: if the matching result is higher than a first preset threshold value, screening the object as a preferred object; otherwise, screening the object as a non-preferred object.
In summary, in the technical scheme of the present invention, by using the method for screening objects relying on environmental analysis described herein, a suitable place and a suitable season for the growth and development of the objects, a suitable degree sequence of each place, and the like can be found in China and the world, so that not only accurate analysis data can be provided for agriculture, forestry, and animal husbandry, but also the process of screening and planting suitable biological species can be accelerated, and the efficiency and success rate of the work of screening and planting suitable biological species can be improved.
It will be understood that: the examples and embodiments of the invention may be implemented in hardware, software, or a combination of hardware and software. As mentioned above, any body performing such a method may be stored in the form of volatile or non-volatile storage, for example a storage device like a ROM, whether erasable or rewritable or not, or in the form of memory, such as for example a RAM, a memory chip, a device or an integrated circuit or on an optically or magnetically readable medium such as for example a CD, a DVD, a disk or a tape. It will be understood that: storage devices and storage media are examples of machine-readable storage suitable for storing one or more programs that, when executed, implement examples of the present invention. Examples of the present invention may be conveyed electronically via any medium, such as a communication signal carried over a wired or wireless connection, and the examples contain the same where appropriate.
It should be noted that: because the invention solves the technical problems of searching a place suitable for the growth and development of the plant, a suitable season, a suitable degree sequence of each place and the like, adopts the technical means which can be understood by technical personnel in the computer field according to the teaching after reading the specification, obtains the beneficial technical effects of providing accurate analysis data for agriculture, forestry and animal husbandry, accelerating the process of screening and planting suitable biological species and improving the efficiency and success rate of the work of screening and planting suitable biological species, the scheme claimed in the appended claims belongs to the technical scheme in the meaning of patent law. Furthermore, the solution claimed in the appended claims has utility since it can be manufactured or used in industry.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Unless expressly stated otherwise, each feature disclosed is one example only of a generic series of equivalent or similar features. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (5)

1. A method of object screening relying on environmental analysis, comprising:
in step S1, object resources in different areas are obtained to form an object resource database;
in step S2, the category of the object to be screened is determined, and the objects that do not meet the condition are filtered by preliminary screening;
in step S3, environmental factor information of the source is queried from the database;
in step S4, environmental factor information of the destination is inquired from the database;
in step S5, the degree of matching of the environmental factors of the object source and destination is determined by three-level matching;
in step S6, it is determined whether the screened object has a natural enemy on the food chain affecting its stable growth in the destination environment and whether the screened object will have an effect on the destination environment in the destination environment; and
in step S7, screening whether the object is a preferred object according to the matching result and the result of step S6;
in step S1, object resources in different regions are obtained to form an object resource database, which includes collecting object resources in different provinces, states, regions, cities, and counties of the same country, or collecting object resources in different regions or countries of the world, and classifying the objects to be analyzed and screened according to the collected object resources to form sub-databases of different types;
in step S3, the environmental factor information of the source is queried from the database, and in step S4, the environmental factor information of the destination is queried from the database, the environmental factor information including at least: weather information, soil information, biological chain information;
wherein the weather information at least comprises: daily average air pressure, highest air pressure, lowest air pressure, average air temperature, highest air temperature, lowest air temperature, average relative humidity, minimum relative humidity, average wind speed, maximum wind speed and direction, sunshine hours and precipitation; the soil information at least comprises soil moisture content and fertility; biochain information includes living beings and natural enemies and chains formed upstream and downstream therefrom; wherein the determining of the matching degree of the environmental factors of the source and the destination of the object through the three-level matching in step S5 includes sub-step S51, sub-step S52, sub-step S53, and sub-step S54; in step S51, primary matching is performed on the information data; in step S52, secondary matching is performed; in step S53, three-level matching is performed; in step S54, adaptive capacity matching and analysis of the object are performed;
wherein in step S51, the performing of the primary matching on the information data includes:
in the substep S511, randomly picking out two sources from the sources according to the preliminarily screened objects, and respectively subtracting the kth environmental element from the kth environmental element of the destination;
in sub-step S512, the subtracted values are normalized and summed with equal weight;
in the substep S513, the above two steps are repeated until all the sources after the preliminary screening are processed;
in sub-step S514, the above-mentioned summations of equal weights are sorted from small to large;
in sub-step S515, the first n-1 sources are selected and input to the next step;
the method accelerates the process of screening and planting suitable biological species, and improves the efficiency and success rate of the work of screening and planting suitable biological species;
wherein in step S52, performing the secondary matching on the information data includes:
in sub-step S521, environment elements of a total of n places including a source place and a destination place are obtained, wherein the value of the k-th environment element of the i-th place is XkiWhere k is 1, …, m, and i is 1, …, n;
in sub-step S522, a comprehensive average value of k environment elements for each of all n points is obtainedWherein
In sub-step S523, the integrated standard deviation σ of the k environmental elements of each of all the n sites is obtainedkWherein
In step S524, all the environment elements k of all the sites i are normalized, and all the environment elements k of all the sites x are normalizedkiAll become normalized x'kiWherein
In sub-step S525, the first matching degrees M of the i-point and the j-point are comparedijWherein the weight occupied by each environment element k of the i and j sites is WkThere are m environmental elements in total, whereinj is a destination, i is all the places, i is not equal to j;
in sub-step S526, M is addedijSorting according to size;
in sub-step S527, M is outputijThe first V term of (1), wherein V is an integer;
wherein in step S53, performing three-level matching includes:
in sub-step S531, for M output in sub-step S527ijThe first V term of (2) is related to V sources, and m environmental elements in the first V term are listed as a sequence P ═ P1, P2, … …, pm]The m environment elements of the destination are listed as a sequence Q ═ Q1, Q2, … …, qm]；
In sub-step S532, the sub-matching degrees Msubk of the respective m environmental factors of the source and the destination are calculated for V sources, respectively, where:wherein T1 and T2 are the minimum and maximum values, respectively, of the k-th environmental factor for each of the V sites, and T3 is the absolute value of the difference between the k-th environmental factor for each of the source sites and the corresponding k-th environmental factor for the destination in the V sites, and T4 is a coefficient, preferably T4 is 1/U, where U is one of 4/3, 3/2, 2, 3, 4;
in sub-step S533, second matching degrees M2 of the V points are calculated, respectivelyijWhereinWherein Weightu is the weight of the u-th of the total m;
in sub-step S534, the obtained second matching degrees are sorted;
in sub-step S535, the sorted V second degrees of match are output.
2. The object screening method depending on environmental analysis according to claim 1, wherein in step S54, performing adaptive capability matching and analysis of the object further comprises step S541: and evaluating the indexes of the object in the aspects of biological characters, disease resistance, growth period and adaptability, analyzing the environmental adaptability and giving a fourth analysis result.
3. The object screening method depending on environment analysis as claimed in claim 2, wherein the screening of whether the object is a preferred object according to the matching result and the result of the step S6 in the step S7 includes the sub-step S71 of: if the object belongs to the object which is influenced or can influence the destination in the S6, the object is directly determined to be a non-preferred object.
4. The object screening method depending on environment analysis as claimed in claim 3, wherein the step S7 further includes a sub-step S72: and carrying out weighted summation on the first matching degree, the second matching degree, the third matching degree and the fourth analysis result to obtain a final matching result.
5. The object screening method depending on environment analysis as claimed in claim 4, wherein the step S7 further includes a sub-step S73: if the matching result is higher than a first preset threshold value, screening the object as a preferred object; otherwise, screening the object as a non-preferred object.
CN201610720188.6A 2016-08-24 2016-08-24 Object screening method depending on environment analysis Active CN106339449B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610720188.6A CN106339449B (en) 2016-08-24 2016-08-24 Object screening method depending on environment analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610720188.6A CN106339449B (en) 2016-08-24 2016-08-24 Object screening method depending on environment analysis

Publications (2)

Publication Number Publication Date
CN106339449A CN106339449A (en) 2017-01-18
CN106339449B true CN106339449B (en) 2019-12-31

Family

ID=57824843

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610720188.6A Active CN106339449B (en) 2016-08-24 2016-08-24 Object screening method depending on environment analysis

Country Status (1)

Country Link
CN (1) CN106339449B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107464190A (en) * 2017-08-31 2017-12-12 深圳前海弘稼科技有限公司 Analysis method and device based on vegetable cultivation ground
CN111540464A (en) * 2020-03-16 2020-08-14 中润普达(十堰)大数据中心有限公司 Pig health monitoring system based on cognitive learning and use method thereof
CN113191663B (en) * 2021-05-18 2023-05-12 北京师范大学 Stony desertification ecological management technology configuration method

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004535425A (en) * 2001-06-13 2004-11-25 マサチューセッツ インスティチュート オブ テクノロジー in vivo bioreactor
CN104765903A (en) * 2015-01-27 2015-07-08 中国科学院城市环境研究所 Comprehensive urban climate environment assessment method integrated with multiple-source remote sensing and climate environment information
CN105028319A (en) * 2015-07-22 2015-11-11 西宁山雨种养殖有限责任公司 Artificial breeding method for African ostriches under high-altitude environment
CN105638413A (en) * 2016-01-08 2016-06-08 北京航空航天大学 Miniature artificial ecosystem experiment device for space base carrying

Also Published As

Publication number Publication date
CN106339449A (en) 2017-01-18

Similar Documents

Publication Publication Date Title
Yatung et al. Genetic diversity of chilli ('Capsicum annuum'L.) genotypes of India based on morpho-chemical traits
Dhakate et al. Diagnosis of pomegranate plant diseases using neural network
Johns Species conservation in managed tropical forests
CN102072885B (en) Machine vision-based paddy neck blast infection degree grading method
CN106339449B (en) Object screening method depending on environment analysis
Mekonnen et al. Phenotypic variability and characteristics of lentil (Lens culinaris Medik.) germplasm of Ethiopia by multivariate analysis
Makinde et al. Multivariate analysis of genetic divergence in twenty two genotypes of groundnut (Arachis hypogaea L.)
CN108828147B (en) Diamond-shaped bamboo moth hazard detection method coupled with remote sensing response characteristics
Kouam et al. Preliminary study on character associations, phenotypic and genotypic divergence for yield and related quantitative traits among cowpea landraces (Vigna unguiculata) from the Western Highland Region of Cameroon
Tin et al. Participatory selection of CWR‐derived salt‐tolerant rice lines adapted to the coastal zone of the Mekong Delta
Campbell et al. Small-scale patterning in the recruitment of forest species during succession in tropical dry forest, Mozambique
CN106326423B (en) A kind of biological variety based on environmental analysis determines method
Bekele et al. The diversity and associated yield components of enset (Ensete ventricosum) based on its agro-morphological traits from southern Ethiopia
Gamble et al. Species pairing and edge effects on biomass yield and nutrient uptake in perennial alley cropping systems
CN106372460B (en) A kind of bio distribution determining device based on environmental analysis
CN113220827A (en) Construction method and device of agricultural corpus
Inamura et al. Competition between weeds and wet season transplanted paddy rice for nitrogen use, growth and yield in the central and northern regions of Laos
Amirkyaei et al. Temporal development of stem rot caused by in peanut fields in Iran
Cui et al. Phenotypic characteristics of ramie (Boehmeria nivea L) germplasm resources based on UAV remote sensing
Imiolemen et al. Assessment of the nutrient status of soil under Chromolaena odorata L.(Siam weed) fallow in Moniya, Oyo State Southwestern Nigeria
Segalla et al. Male-biased effective sex ratio across populations of the threatened Zamia boliviana (Zamiaceae)
Hassan et al. Assessment of genetic variability of wild apple (Malus spps) genotypes in Kashmir Valley
Rahimi et al. Using the Lonsdorf and ESTIMAP models for large-scale pollination mapping (Case study: Iran)
Goyanka et al. Phenotypic Characterization Reveals High Extent of Genetic Variation in Maize (Zea mays L.) Landraces of North-Eastern and North-Western Himalayan Regions of India
Praveen et al. Species preference in seedling predation by the sesarmid crab Neosarmatium malabaricum (Henderson, 1893) in a mangrove forest in India

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant