CN108920673A - A kind of recommendation analysis method for corn and wheat breed - Google Patents
A kind of recommendation analysis method for corn and wheat breed Download PDFInfo
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- 241000209140 Triticum Species 0.000 title claims abstract description 100
- 235000021307 Triticum Nutrition 0.000 title claims abstract description 100
- 240000008042 Zea mays Species 0.000 title claims abstract description 89
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 title claims abstract description 89
- 235000002017 Zea mays subsp mays Nutrition 0.000 title claims abstract description 89
- 235000005822 corn Nutrition 0.000 title claims abstract description 89
- 238000004458 analytical method Methods 0.000 title claims abstract description 15
- 241000607479 Yersinia pestis Species 0.000 claims abstract description 85
- 201000010099 disease Diseases 0.000 claims abstract description 81
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 81
- 241000238631 Hexapoda Species 0.000 claims abstract description 65
- 208000035240 Disease Resistance Diseases 0.000 claims abstract description 13
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Abstract
The invention proposes a kind of recommendation analysis methods for corn and wheat breed, including：Corn and Major Wheat Cultivars base data table are obtained, granularity is stored according to preset administrative area, the kind information data in corn and Major Wheat Cultivars base data table is respectively stored in grid；Corn and Major Wheat Cultivars are ranked up and primary election, including：According in corn and Major Wheat Cultivars base data table can disease resistance type data, can insect pest type data, the pest and disease damage dimension ranking results of corn and wheat breed are calculated, the yield dimension ranking results that wheat and corn are calculated according to the production yields performance in the main breed base data table of wheat and corn, obtain primary election and the ranking results of wheat and corn variety.The present invention has comprehensively considered yield latitude and pest and disease damage latitude when carrying out crop varieties recommendation, combines both and carries out kind sequence, and accuracy improves.
Description
Technical field
The present invention relates to variety of crops technical field, in particular to a kind of recommendation for corn and wheat breed is analyzed
Method.
Background technique
At present recommendation of new cultivars common method be a large amount of crop excellent variety plant experimentally compare and crop field show after, finally
Determine that locality can be widely applied the excellent variety of plantation, the screening varieties period is long, spends big.In addition, currently without profession
Model or analysis method carry out the recommendation of variety of crops.
Summary of the invention
The purpose of the present invention aims to solve at least one of described technological deficiency.
For this purpose, it is an object of the invention to propose a kind of recommendation analysis method for corn and wheat breed.
To achieve the goals above, the embodiment of the present invention provides a kind of recommendation analysis side for corn and wheat breed
Method includes the following steps：
Step S1 obtains corn and Major Wheat Cultivars base data table, stores granularity to institute according to preset administrative area
The kind information data stated in corn and Major Wheat Cultivars base data table is respectively stored in grid；
Step S2 carries out primary election to corn and Major Wheat Cultivars, including：According to corn, Wheat Diseases And Insect Pests early warning basis
Susceptible disease insect pest type result in early warning basic data in data removes matching corn, Major Wheat Cultivars traditional data network
In data this kind is deleted when recording result if susceptible disease insect pest type result appears in susceptible pest species；
Step S3, is ranked up corn and Major Wheat Cultivars, including：According to corn and Major Wheat Cultivars basis number
According in table can disease and insect resistance type data carry out pest and disease damage resistance dimension sequence, according to corn and Major Wheat Cultivars basis
Production yields performance in tables of data carries out the sequence of yield dimension, and carries out the sequence summation of two kinds of dimensions, obtain corn and
The ranking results of wheat breed, wherein
According to corn variety can disease resistance type data, can insect pest type data the disease pest of corn variety is calculated
Evil dimension ranking results, the yield dimension ranking results of corn are calculated according to the main breed base data table of corn, to institute
The yield dimension ranking results of the pest and disease damage dimension ranking results and corn of stating corn variety are summed, and corn variety is obtained
Primary election and ranking results；
According to wheat breed can disease resistance type data, can insect pest type data the disease pest of wheat breed is calculated
Evil dimension ranking results, the yield dimension ranking results of wheat are calculated according to the main breed base data table of wheat, to institute
The yield dimension ranking results of the pest and disease damage dimension ranking results and wheat of stating wheat breed are summed, and wheat breed is obtained
Primary election and ranking results.
Further, administrative unit at county level is retrieved first, and grid data in same counties and districts is then subjected to corresponding kind information
The storage of data；And then the administrative unit of prefecture-level city in addition to having data at county level is retrieved, by no data in same prefecture-level city
The corresponding kind information data of coarse gridding, data are identical in each grid；Finally retrieve the province in addition to having at county level, prefecture-level data
Grade administrative unit, by the corresponding kind information data of the coarse gridding of same no data inside the province, data are identical in each grid.
Further, in the step S2, the corn and Major Wheat Cultivars basis according to after being arranged in step S1
Data obtain corn and Major Wheat Cultivars basic data after primary election, including：
According to the corn prestored, in Wheat Diseases And Insect Pests early warning basic data, the grid that is obtained in crop disease and insect type table
In susceptible disease insect pest type as a result, going to match the corn and the main cultivation of wheat using the susceptible disease insect pest type result in grid
Data in kind basic data grid, if the susceptible disease insect pest type result appears in susceptible disease species and susceptible worm
In evil type, then this kind is deleted when recording result.Susceptible disease insect pest type result in crop disease and insect type table is grid
Susceptible disease insect pest type in interior corn, wheat all breeding times.
Further, in the step S3, primary election and the ranking results for obtaining corn variety, include the following steps：
For retrieving corn according to crop disease and insect type according to the corn main breed obtained after the judgement of pest and disease damage situation
In main breed basic data can disease resistance type and can insect pest type, can be before the kind more than disease and insect resistance number of species comes
Face successively arranges backward according to quantity and arranges kind again；Again according to whether result resistant to lodging carries out result again
Minor sort, it is after record ordering as a result, and assign the end value that puts in order, meanwhile, reject the kind of susceptible pest species
Size of data need to be showed according to production yields to be ranked up from high to low, the ranking results value obtained according to yield attribute value, most
Each kind need to arrange the end value obtained by two kinds and be added afterwards, sort according to end value size, be worth high stand out.
Further, in the step S3, primary election and the ranking results for obtaining wheat breed, include the following steps：
It is same in Major Wheat Cultivars basic data for the Major Wheat Cultivars obtained after being judged according to pest and disease damage situation
The kind of agrotype in crop disease and insect type retrieval Major Wheat Cultivars basic data according to disease resistance type and can resisting
Insect pest type, can the kind more than disease and insect resistance number of species come front, successively arranged backward by kind again according to quantity
It is secondary to be arranged；Resistant number of species it is identical further according to highly resistance, in anti-information carry out kind sequence again, highly resistance comes
Front, in resist secondly, without highly resistance or in anti-information come finally, after record ordering as a result, and assign and putting in order result
Value, meanwhile, the same agrotype kind for rejecting susceptible pest species need to also show size of data by height according to production yields
To the low ranking results value for being ranked up, obtaining according to yield attribute value, last each kind need to arrange the result obtained for two kinds
Value is added, and is sorted according to end value size, is worth high stand out.
Recommendation analysis method according to an embodiment of the present invention for corn and wheat breed is carrying out crop varieties recommendation
When comprehensively considered yield latitude and pest and disease damage latitude, combine both carry out kind sequence, accuracy improve.Pest and disease damage
Not only first pass through susceptible pest species in terms of latitude and carry out screening varieties, but also according to can disease and insect resistance type carry out kind
Sequence, accuracy improve.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures
Obviously and it is readily appreciated that, wherein：
Fig. 1 is the flow chart according to the recommendation analysis method for corn and wheat breed of the embodiment of the present invention；
Fig. 2 is the flow chart according to sequence and the primary election of the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
As depicted in figs. 1 and 2, the recommendation analysis method for corn and wheat breed of the embodiment of the present invention, including such as
Lower step：
Step S1 obtains corn and Major Wheat Cultivars base data table, stores granularity to jade according to preset administrative area
Kind information data in rice and Major Wheat Cultivars base data table is respectively stored in grid.
Specifically, due in current " corn, Major Wheat Cultivars base data table " administrative division storage granularity it is inconsistent,
Have at county level, have to prefecture-level, also has to provincial, so data retrieve administrative unit at county level in storage first, so
Grid data in same counties and districts is carried out to the storage of corresponding kind information data afterwards；And then retrieval is in addition to having data at county level
Administrative unit of prefecture-level city, by the corresponding kind information data of the coarse gridding of no data in same prefecture-level city, data phase in each grid
Together；The provincial administrative unit in addition to having at county level, prefecture-level data is finally retrieved, by the coarse gridding phase of same no data inside the province
Kind information data is answered, data are identical in each grid.After there are data in each grid, then carry out following data operation stream
Journey.
Step S2 carries out primary election to corn and Major Wheat Cultivars, including：According to corn, Wheat Diseases And Insect Pests early warning basis
Susceptible disease insect pest type result in early warning basic data in data removes matching corn, Major Wheat Cultivars traditional data network
In data this kind is deleted when recording result if susceptible disease insect pest type result appears in susceptible pest species；
Step S3, is ranked up corn and Major Wheat Cultivars, including：According to corn and Major Wheat Cultivars basis number
According in table can disease and insect resistance type data carry out pest and disease damage resistance dimension sequence, according to corn and Major Wheat Cultivars basis
Production yields performance in tables of data carries out the sequence of yield dimension, and carries out the sequence summation of two kinds of dimensions, obtain corn and
The ranking results of wheat breed, wherein
According to the corn prestored, in Wheat Diseases And Insect Pests early warning basic data, the grid that is obtained in crop disease and insect type table
In susceptible disease insect pest type as a result, removing matching corn and Major Wheat Cultivars using the susceptible disease insect pest type result in grid
Data in basic data grid, if susceptible disease insect pest type result appears in susceptible disease species and susceptible insect pest type
In, then this kind is deleted when recording result.Susceptible disease insect pest type result in crop disease and insect type table be corn in grid,
Susceptible disease insect pest type in wheat all breeding times.
Then according to corn variety can disease resistance type data, can insect pest type data corn variety is calculated
Pest and disease damage dimension ranking results calculate the yield dimension ranking results of corn according to the main breed base data table of corn,
The yield dimension ranking results of pest and disease damage dimension ranking results and corn to corn variety are summed, and corn variety is obtained
Primary election and ranking results.
Specifically, obtaining primary election and the ranking results of corn variety, include the following steps：
For being retrieved according to " crop disease and insect type " according to the corn main breed obtained after the judgement of pest and disease damage situation
It, can be more than disease and insect resistance number of species in " corn main breed basic data " " can disease resistance type " and " can insect pest type "
Kind comes front, is successively arranged backward according to quantity and arranges kind again.
Result minor sort again is carried out according to " whether resistant to lodging " result again, it is after record ordering as a result, and to assign arrangement suitable
Sequence end value.Such as reject the kinds of susceptible pest species and share X kind, then the kind to make number one is assigned a value of X, second
Entitled X-1, and so on.Meanwhile the kind for rejecting susceptible pest species also need to be according to " production yields performance " size of data
It is ranked up from high to low.Such as the shared X kind of kind of susceptible pest species is rejected, then the kind assignment to make number one
For X, the second entitled X-1, and so on, this is the ranking results value obtained according to yield attribute value.Last each kind need to be by two
The end value that kind arrangement obtains is added, and is sorted according to end value size, is worth high stand out.The result exhibition of final recommendation of new cultivars
It is shown as " adapted varieties recommendation：First jade 335, agriculture China 101 ... ... ".
According to wheat breed can disease resistance type data, can insect pest type data the disease pest of wheat breed is calculated
Evil dimension ranking results, the yield dimension ranking results of wheat are calculated according to the main breed base data table of wheat, to small
The pest and disease damage dimension ranking results of wheat variety and the yield dimension ranking results of wheat are summed, and the primary election of wheat breed is obtained
And ranking results.
Specifically, obtaining primary election and the ranking results of wheat breed, include the following steps：
It is same in " Major Wheat Cultivars basic data " for the Major Wheat Cultivars obtained after being judged according to pest and disease damage situation
The kind of one " agrotype " is according to " can disease resistance kind in " crop disease and insect type " retrieval " Major Wheat Cultivars basic data "
Class " and " can insect pest type ", can the kind more than disease and insect resistance number of species come front, according to quantity successively to heel row
Column arrange kind again.
Resistant number of species are identical to carry out kind sequence further according to " highly resistance ", " in resist " information again, " highly resistance "
Come front, " in resist " secondly, coming without " highly resistance " or " in resist " information finally, after record ordering as a result, and the row of imparting
Column sequence end value.Such as the shared X kind of kind of susceptible pest species is rejected, then the kind to make number one is assigned a value of X,
Second entitled X-1, and so on, this is the ranking results value obtained according to pest and disease damage resistance attribute value.
Meanwhile same " agrotype " kind for rejecting susceptible pest species also need to be according to " production yields performance " data
Size is ranked up from high to low.Such as the shared X kind of kind of susceptible pest species is rejected, then the kind to make number one
It is assigned a value of X, the second entitled X-1, and so on, this is the ranking results value obtained according to yield attribute value.Last each kind needs
Two kinds are arranged the end value obtained to be added, sorts according to end value size, be worth high stand out.The knot of final recommendation of new cultivars
Fruit is shown as " weak spring habit winter wheat：Flower training 1, all wheats No. 1, XX ... ... ", " semi-winterness winter wheat：Stone wheat 15, XX,
XX ... " etc..
Recommendation analysis method according to an embodiment of the present invention for corn and wheat breed is carrying out crop varieties recommendation
When comprehensively considered yield latitude and pest and disease damage latitude, combine both carry out kind sequence, accuracy improve.Pest and disease damage
Not only first pass through susceptible pest species in terms of latitude and carry out screening varieties, but also according to can disease and insect resistance type carry out kind
Sequence, accuracy improve.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art are not departing from the principle of the present invention and objective
In the case where can make changes, modifications, alterations, and variations to the above described embodiments within the scope of the invention.The scope of the present invention
It is extremely equally limited by appended claims.
Claims (5)
1. a kind of recommendation analysis method for corn and wheat breed, which is characterized in that include the following steps：
Step S1 obtains corn and Major Wheat Cultivars base data table, stores granularity to the jade according to preset administrative area
Kind information data in rice and Major Wheat Cultivars base data table is respectively stored in grid；
Step S2 carries out primary election to corn and Major Wheat Cultivars, including：According to corn, Wheat Diseases And Insect Pests early warning basic data
In early warning basic data in susceptible disease insect pest type result remove matching corn, in Major Wheat Cultivars traditional data network
Data delete this kind if susceptible disease insect pest type result appears in susceptible pest species when recording result；
Step S3, is ranked up corn and Major Wheat Cultivars, including：According to corn and Major Wheat Cultivars base data table
In can disease and insect resistance type data carry out the sequence of pest and disease damage resistance dimension, according to corn and Major Wheat Cultivars basic data
Production yields performance in table carries out the sequence of yield dimension, and carries out the sequence summation of two kinds of dimensions, obtains corn and wheat
The ranking results of kind, wherein
According to corn variety can disease resistance type data, can insect pest type data be calculated corn variety pest and disease damage dimension
Ranking results are spent, the yield dimension ranking results of corn are calculated according to the main breed base data table of corn, to the jade
The pest and disease damage dimension ranking results of rice kind and the yield dimension ranking results of corn are summed, and the primary election of corn variety is obtained
And ranking results；
According to wheat breed can disease resistance type data, can insect pest type data be calculated wheat breed pest and disease damage dimension
Ranking results are spent, the yield dimension ranking results of wheat are calculated according to the main breed base data table of wheat, to described small
The pest and disease damage dimension ranking results of wheat variety and the yield dimension ranking results of wheat are summed, and the primary election of wheat breed is obtained
And ranking results.
2. being directed to the recommendation analysis method of corn and wheat breed as described in claim 1, which is characterized in that in the step
In S1, administrative unit at county level is retrieved first, then grid data in same counties and districts is carried out to the storage of corresponding kind information data；
And then the administrative unit of prefecture-level city in addition to having data at county level is retrieved, the coarse gridding of no data in same prefecture-level city is corresponding
Kind information data, data are identical in each grid；The provincial administrative unit in addition to having at county level, prefecture-level data is finally retrieved,
By the corresponding kind information data of the coarse gridding of same no data inside the province, data are identical in each grid.
3. being directed to the recommendation analysis method of corn and wheat breed as described in claim 1, which is characterized in that in the step
In S2, corn and Major Wheat Cultivars basic data after obtaining primary election, including：
According to the corn prestored, in Wheat Diseases And Insect Pests early warning basic data, in the grid that is obtained in crop disease and insect type table
Susceptible disease insect pest type using the susceptible disease insect pest type result in grid as a result, go to match the corn and Major Wheat Cultivars
Data in basic data grid, if the susceptible disease insect pest type result appears in susceptible disease species and susceptible insect pest kind
In class, then this kind is deleted when recording result, the susceptible disease insect pest type result in crop disease and insect type table is beautiful in grid
Susceptible disease insect pest type in rice, wheat all breeding times.
4. being directed to the recommendation analysis method of corn and wheat breed as described in claim 1, which is characterized in that in the step
In S3, primary election and the ranking results of corn variety are obtained, are included the following steps：
For retrieving the main cultivation of corn according to crop disease and insect type according to the corn main breed obtained after the judgement of pest and disease damage situation
In kind basic data can disease resistance type and can insect pest type, can the kind more than disease and insect resistance number of species come front,
It is successively arranged backward according to quantity and arranges kind again；Again according to whether result resistant to lodging progress result is arranged again
Sequence, it is after record ordering as a result, and assign the end value that puts in order, meanwhile, reject susceptible pest species kind also need by
It is ranked up from high to low according to production yields performance size of data, the ranking results value obtained according to yield attribute value, it is last each
Kind need to arrange the end value obtained by two kinds and be added, and sort according to end value size, be worth high stand out.
5. being directed to the recommendation analysis method of corn and wheat breed as described in claim 1, which is characterized in that in the step
In S3, primary election and the ranking results of wheat breed are obtained, are included the following steps：
For according to obtained Major Wheat Cultivars after the judgement of pest and disease damage situation, same crop in Major Wheat Cultivars basic data
The kind of type is according to can disease resistance type and can insect pest in crop disease and insect type retrieval Major Wheat Cultivars basic data
Type, can the kind more than disease and insect resistance number of species come front, successively arranged backward according to quantity by kind again into
Row arrangement；Resistant number of species it is identical further according to highly resistance, in anti-information carry out kind sequence again, before the coming of highly resistance
Face, in resist secondly, without highly resistance or in anti-information come finally, after record ordering as a result, and assign and putting in order end value,
Meanwhile the same agrotype kind for rejecting susceptible pest species also need to show size of data from high to low according to production yields
It is ranked up, the ranking results value obtained according to yield attribute value, last each kind need to arrange the end value phase obtained for two kinds
Add, sorts according to end value size, be worth high stand out.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105608650A (en) * | 2016-03-22 | 2016-05-25 | 广州聚数信息科技有限公司 | Dish collocation recommending method and system |
| CN106327227A (en) * | 2015-06-19 | 2017-01-11 | 北京航天在线网络科技有限公司 | Information recommendation system and information recommendation method |
| CN106971167A (en) * | 2017-03-30 | 2017-07-21 | 北京兴农丰华科技有限公司 | Crop growth analysis method and its analysis system based on unmanned aerial vehicle platform |
| CN107194506A (en) * | 2017-05-10 | 2017-09-22 | 北京兴农丰华科技有限公司 | Diseases and pests of agronomic crop warning information analysis method |
| CN107306682A (en) * | 2017-05-10 | 2017-11-03 | 北京兴农丰华科技有限公司 | The analysis method of crops florescence Climatic regionalization |
| CN107944487A (en) * | 2017-11-20 | 2018-04-20 | 北京信息科技大学 | A kind of crop breeding recommendation of new cultivars method based on mixing collaborative filtering |
-
2018
- 2018-07-09 CN CN201810743783.0A patent/CN108920673B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327227A (en) * | 2015-06-19 | 2017-01-11 | 北京航天在线网络科技有限公司 | Information recommendation system and information recommendation method |
| CN105608650A (en) * | 2016-03-22 | 2016-05-25 | 广州聚数信息科技有限公司 | Dish collocation recommending method and system |
| CN106971167A (en) * | 2017-03-30 | 2017-07-21 | 北京兴农丰华科技有限公司 | Crop growth analysis method and its analysis system based on unmanned aerial vehicle platform |
| CN107194506A (en) * | 2017-05-10 | 2017-09-22 | 北京兴农丰华科技有限公司 | Diseases and pests of agronomic crop warning information analysis method |
| CN107306682A (en) * | 2017-05-10 | 2017-11-03 | 北京兴农丰华科技有限公司 | The analysis method of crops florescence Climatic regionalization |
| CN107944487A (en) * | 2017-11-20 | 2018-04-20 | 北京信息科技大学 | A kind of crop breeding recommendation of new cultivars method based on mixing collaborative filtering |
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| CN108920673B (en) | 2023-11-17 |
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