CN108718890A - A kind of grape breeding method based on big data analysis - Google Patents
A kind of grape breeding method based on big data analysis Download PDFInfo
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- CN108718890A CN108718890A CN201810356192.8A CN201810356192A CN108718890A CN 108718890 A CN108718890 A CN 108718890A CN 201810356192 A CN201810356192 A CN 201810356192A CN 108718890 A CN108718890 A CN 108718890A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G17/00—Cultivation of hops, vines, fruit trees, or like trees
- A01G17/02—Cultivation of hops or vines
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Abstract
The present invention provides a kind of grape breeding method based on big data analysis, by acquiring the wine-growing information based on geographical location, the wine-growing scheme of each kind and Managed Solution data is carried out Macro or mass analysis, specifically included：The data such as implantation time, maturation time, soil regime, humidity, temperature, illumination, fertilising opportunity, and the data such as the finished product time of harvest, grape sugariness and mouthfeel are collected.Pass through a large amount of data analysis, Optimal Management scheme is provided for grower, grower to grape under the premise of cultivating no mature experience, can by input the data such as geographic position data and soil, illumination, humidity, temperature obtain grape culture proposed projects, and can obtain grape variety selection, plantation difficulty in terms of suggestion.
Description
Technical field
The present invention designs application field, more particularly to a kind of grape breeding method based on big data analysis.
Background technology
In recent years, consumer spending level increasingly improves, and also gradually changes for the demand model of fruit, especially
For the demand of grape.The growth cycle of grape, in spring when temperature rise is to about 10 degree Celsius, growth cycle viny
It begins to.Sprouting, which sprouts then leaf, to be occurred, and then branch starts to grow.To 5, June, petal formation bloom with
And all latter stage carries out in the meantime for fertilising, a couple of days berry after being over of blooming is formed；This is the first stage of fruit growth.7,8
In growth period month viny, berry development has then arrived fructescence.The crust of red grape stains, and white grape is then
What is said or talked about green is lost；This is exactly the beginning of fructescence.After grape maturity, so that it may to start to harvest, the fruit maturation stage
It is characterized in that the sugar in fruit juice increases, acidity reduces, and according to the different different individual fragrance of fragrance kind of formation
It is formed.Terminate usually to take 90 to 100 days from blooming to fruit maturation, be fallen to last years in autumn, vine both enters rest period.Due to
The plantation of grape has geographical environment certain requirement, and the method cultivated under different geographical environments is different and for just relating to
The people in wine-growing field, it is often uncertain for actual hybridization scheme, and do not know how to find the information, even
Veteran Cultivate administration person is for emerging high-quality grapes implantation methods, often because being not desired to receive and lead to grape
Quality does not improve.It does not know how to solve when encountering corresponding problem during planting grape simultaneously, while selecting
Often because the information grasped is not comprehensive enough when selecting grape variety, selected grape variety is caused to be not suitable for local geographical ring
Border or selected grape variety current year by largely plantation user selection, cause to need for being more than, last sale effect is bad.
In view of the above problems of the prior art, the application uses following technical scheme.
Invention content
In order to solve the above technical problems, the present invention provides a kind of grape breeding method based on big data analysis, pass through master
The dynamic mode for reporting or being obtained from search engine, obtain about.
The invention is realized by the following technical scheme：
A kind of grape breeding method based on big data analysis, which is characterized in that specifically include following steps：
Step 1：Data collection；
Step 2：The geographical environmental information of input plantation；
Step 3：Wine-growing program analysis；
Step 4：Determine wine-growing scheme.
The data collection, which is characterized in that including：Pass through user's active upload hybridization scheme to cultivation record data
Library, or the relevant information in other webpages such as news is obtained by search engine, the relevant information includes but not limited to kind
The data such as time, maturation time, soil regime, humidity, temperature, illumination, fertilising opportunity are planted, the relevant information is information above
One or more of.
Further, the information of collection further includes the supply and demand information of grape variety, is specifically the purchase of various grape varieties
Buy demand searching times.
The geographical environmental information of input plantation, which is characterized in that including：Input local longitude and latitude, temperature, wet
Degree, soil information, geographical environment information includes but not limited to above several, while the information inputted can be in information above
It is one or more of.
Further, it when selecting the Plant plane of grape, according to the searched purchaser record item number of various grapes, will fit
The wine-growing scheme list of conjunction is ranked up recommendation according to kind, and the high grape variety of searched frequency is stood out.
The wine-growing program analysis, which is characterized in that including：According to the geographical environment information inputted above, from
Record retrieval, and the possibility of a variety of hybridization schemes of Auto-matching are carried out in database, ultimately form pushing away for effective hybridization scheme
List is recommended, is ranked up according to the degree of correlation of information, the degree of correlation is high to stand out.
Further, it when being analyzed, in conjunction with the mouthfeel information of the grape of harvest, sugariness information, and planted at that time
Scheme carries out total evaluation, in conjunction with the temperature in each stage of grape growth, sunlight, moisture, nutrient demand, provides with current
Geographical environment reaches the difficulty of the condition needed for the harvest demand of required grape, for carrying out assessment when Scheme Choice.
The determination wine-growing scheme, which is characterized in that including：According to the hybridization scheme list of recommendation, carry out real
Verification, finishing screen select suitable hybridization scheme, if the environmental requirement cultivated and recommended is not achieved in local geographical environment,
It is prompted when hybridization scheme screens.
Further, consider whether suitable and grape variety the benefit factor of planting environment geographic factor, finally give
Go out plantation and suggests assessment score.
The beneficial effects of the invention are as follows：
1, by largely collecting the scheme of wine-growing, guidance is provided for existing wine-growing scheme.
2, in conjunction with the wine-growing information of collection, wine-growing kind prediction is carried out, to provide supply and demand suggestion, optimization kind
Plant person chooses the big varieties of plant of demand.
Description of the drawings
The cultivation flow chart of Fig. 1 present invention
By collecting a large amount of wine-growing data, sample database is established, by extracting Plant plane information, kind is selected
Information, grape purchase information search record are selected, the characteristics of using big data analysis, according to the geographical environment information of input, is provided
Best Plant plane is recommended, and best variety selection suggestion, and realizes the difficulty suggestion of planting effect, finally provides scheme
Whole scoring, for carrying out Scheme Choice.
Specific implementation mode
Below in conjunction with specific implementation mode, the present invention is described in further detail, but embodiments of the present invention are not
It is limited to this：
Embodiment 1：
The wine-growing scheme background information for obtaining search engine, from wherein extraction wine-growing scheme and grape purchase
Kind search record is bought, wherein wine-growing scheme includes：Implantation time, maturation time, soil regime, humidity, temperature, light
According to data such as, fertilising opportunitys.The data of collection further include above complete information of user's active upload to database.
The characteristics of according to big data analysis, allows the imperfection of data, can also ensure data by a large amount of sample
The authenticity of analysis result, the collected data keep completely, allowing the mistake and missing of partial data as possible.
Analytical database sample is established according to the data of collection, by information at model, by geographical environment information, kind
Selection, finished product attribute three parts information carry out relativity and remove and obviously do not meet in conjunction with the demand in each stage of grape growth
It is required that overall plan.
Geography information is inputted, input variety selection is can choose whether, is divided in conjunction with the model that big data analysis obtains
Analysis obtains the suitable multiple wine-growing schemes of current geographic information, and the suitable of multiple grape varieties is provided in multiple schemes
Conjunction degree sorts.And system also provides scoring, including kind plants the realization difficulty of current cultivars grape in current geographic environment, with
And finally provide whole scoring in conjunction with supply and demand degree.User can carry out Scheme Choice.
Embodiment 2：
The present embodiment passes through search engine back-end data and net first by grape growth environmental parameter extraction system
The time data that grape optimum output is extracted in the information datas such as page, books, magazine, by the meteorological number for being connected to the corresponding time
According to, geographic position data, light application time delta data, generate optimal wine-growing protocol.Wherein further include that acquisition is endless
Whole information module obtains fertilising opportunity from limited data, irrigates opportunity, harvest opportunity and deinsectization method data, the portion
The acquisition of divided data is because the imperfection of record can cause shortage of data, in order to preferably be analyzed using big data, root
According to the wine-growing period each stage the characteristics of, supplement and the screening of Plant plane are carried out, to be combined big data point
Analysis and traditional plantation experience carry out Plant plane optimization.
It is illustrated with reference to specific example.
In the example, when configuring grape variety, plantation geographical location and time, growth cycle, harvest by management platform
Between, the data modes such as production history situation, environmental strategies, carry out data collection.Wherein grape variety can carry out graphic form
Search (specific picture searching realization method belongs to the prior art), convenient for state it is inconsistent in the case of carry out unification；
Geographical location can take the form of longitude and latitude or geographic name to be described, and finally correspond to latitude and longitude information and (utilize existing
Accurate conversion of the geographic name to longitude and latitude may be implemented in open map datum, belongs to the prior art)；Environmental strategies, which contain, to be worked as
When planting environment the information such as moisture, soil, temperature, illumination.Production history situation includes corresponding to each kind, each planting environment
Corresponding output condition statistics, the combined information for obtaining optimum point of production.Environmental strategies can by with meteorological big data phase
Association obtains the meteorological data variation of current year this area, for corresponding with best vintage.
Client carries out the selection of grape variety and planting area, by the way that the demand is sent to system.Director server
After receiving selection information, big data screening is carried out, identical longitude and latitude, the optimal wine-growing of similar geographical environment are found
Scheme is pushed, and scheme 1 is obtained.And further operation is carried out, it, will in conjunction with each cycle growth managerial experiences of existing grape
The parameter that grape growth rule is not met in scheme 1 is labeled, and supplements the partial parameters of missing, such as harvest opportunity, filling
The parameters such as opportunity, light irradiation time are irrigate, by the way that above parameter supplement is complete and modification marks, form the plantation side after optimization
Case, for user terminal with reference to use.By the combination above in association with big data analysis result and plantation empirical data, provide to the user
Optimal growth protocols.
Embodiment 3：
In the example, collected about grape variety and grape demand related data, specifically, grape variety in server
Situation of change over the years；Grape demand related data includes each kind of grape over the years in each ecological region planting amount situation, Yi Jixiao
Measure situation.
Client is by inputting related kind, through background server operation, can by the production information over the years of each kind with
And sales volume information pushes to client, and give yield and sales volume change trend curve.Client can pass through the change of the curve
Change the recent grape conditions of demand of trend prediction, reasonably selects best varieties of plant and plantation amount.
Claims (4)
1. a kind of grape breeding method based on big data analysis, which is characterized in that specifically include following steps：
Step 1：Data collection by user's active upload hybridization scheme to cultivating database of record, or passes through search engine
The relevant information in other webpages such as news is obtained, the relevant information includes but not limited to implantation time, maturation time, soil
The data such as situation, humidity, temperature, illumination, fertilising opportunity, the relevant information are one or more of information above；
Step 2：Geographical environment information is inputted, longitude and latitude, temperature, humidity, the soil information of planting site, geographical environment letter are inputted
Breath includes but not limited to above several, while the information inputted can be one or more of information above；
Step 3：Wine-growing option screening is recommended, and according to the geographical environment information inputted above, is recorded from database
Retrieval, and the possibility of a variety of hybridization schemes of Auto-matching, ultimately form the recommendation list of effective hybridization scheme, according to information
Degree of correlation is ranked up, and the degree of correlation is high to stand out；
Step 4：It determines wine-growing scheme, according to the hybridization scheme list of recommendation, carries out experimental verification, finishing screen selects conjunction
Suitable hybridization scheme, if the environmental requirement cultivated and recommended is not achieved in local geographical environment, when hybridization scheme is screened into
Row prompt.
2. data collection as described in claim 1, which is characterized in that including：The information of collection further includes the confession of grape variety
Information is needed, is specifically the purchasing demand searching times of various grape varieties.
3. wine-growing option screening as claimed in claim 2 is recommended, which is characterized in that further include：In the kind of selection grape
When plant scheme, according to the searched purchaser record item number of various grapes, wine-growing scheme list that will be suitable, according to kind into
Row sort recommendations, the high grape variety of searched frequency are stood out.
4. wine-growing option screening as claimed in claim 3 is recommended, which is characterized in that further include：Consider plantation ring
Whether suitable and grape variety the earning rate of border geographic factor, finally provides plantation and suggests assessment score.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810356192.8A CN108718890A (en) | 2018-04-19 | 2018-04-19 | A kind of grape breeding method based on big data analysis |
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| CN201810356192.8A CN108718890A (en) | 2018-04-19 | 2018-04-19 | A kind of grape breeding method based on big data analysis |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109871427A (en) * | 2019-01-29 | 2019-06-11 | 武汉南博网络科技有限公司 | A kind of plant database method for building up and device based on paper |
| CN111539594A (en) * | 2020-03-16 | 2020-08-14 | 武汉东湖大数据交易中心股份有限公司 | Wine-making grape producing area evaluation system based on wind soil environment and evaluation method thereof |
| CN111552920A (en) * | 2020-03-16 | 2020-08-18 | 武汉东湖大数据交易中心股份有限公司 | Red wine evaluation system and method based on climate conditions and grape varieties |
| CN112462830A (en) * | 2020-11-24 | 2021-03-09 | 浙江理工大学 | Silkworm breeding automatic management system based on edge calculation and intelligent recommendation |
| CN118350668A (en) * | 2024-04-16 | 2024-07-16 | 宁夏农林科学院农业经济与信息技术研究所 | Grape germplasm resource data integrated management system |
| CN118350668B (en) * | 2024-04-16 | 2024-10-22 | 宁夏农林科学院农业经济与信息技术研究所 | Grape germplasm resource data integrated management system |
-
2018
- 2018-04-19 CN CN201810356192.8A patent/CN108718890A/en not_active Withdrawn
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109871427A (en) * | 2019-01-29 | 2019-06-11 | 武汉南博网络科技有限公司 | A kind of plant database method for building up and device based on paper |
| CN109871427B (en) * | 2019-01-29 | 2021-08-06 | 武汉爱农云联科技有限公司 | Paper-based plant database establishing method and device |
| CN111539594A (en) * | 2020-03-16 | 2020-08-14 | 武汉东湖大数据交易中心股份有限公司 | Wine-making grape producing area evaluation system based on wind soil environment and evaluation method thereof |
| CN111552920A (en) * | 2020-03-16 | 2020-08-18 | 武汉东湖大数据交易中心股份有限公司 | Red wine evaluation system and method based on climate conditions and grape varieties |
| CN112462830A (en) * | 2020-11-24 | 2021-03-09 | 浙江理工大学 | Silkworm breeding automatic management system based on edge calculation and intelligent recommendation |
| CN112462830B (en) * | 2020-11-24 | 2021-10-26 | 浙江理工大学 | Silkworm breeding automatic management system based on edge calculation and intelligent recommendation |
| CN118350668A (en) * | 2024-04-16 | 2024-07-16 | 宁夏农林科学院农业经济与信息技术研究所 | Grape germplasm resource data integrated management system |
| CN118350668B (en) * | 2024-04-16 | 2024-10-22 | 宁夏农林科学院农业经济与信息技术研究所 | Grape germplasm resource data integrated management system |
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Application publication date: 20181102 |
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