CN107895210A - A kind of regional agriculture produces Prediction System - Google Patents
A kind of regional agriculture produces Prediction System Download PDFInfo
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- CN107895210A CN107895210A CN201711199072.3A CN201711199072A CN107895210A CN 107895210 A CN107895210 A CN 107895210A CN 201711199072 A CN201711199072 A CN 201711199072A CN 107895210 A CN107895210 A CN 107895210A
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- 239000002689 soil Substances 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 15
- 230000012010 growth Effects 0.000 claims description 15
- 238000004519 manufacturing process Methods 0.000 claims description 12
- 238000012360 testing method Methods 0.000 claims description 7
- 239000004615 ingredient Substances 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims description 4
- 238000005457 optimization Methods 0.000 abstract description 2
- 241000196324 Embryophyta Species 0.000 description 4
- 238000012216 screening Methods 0.000 description 3
- 230000008635 plant growth Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000009313 farming Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
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Abstract
The invention discloses a kind of regional agriculture to produce Prediction System, including：Component detection apparatus, meteorology estimate module, with reference to database, model building module and control process module.The present invention realizes the total arrangement for regional crops, and the optimization for being advantageously implemented plantation soil uses, and improves the ratio for input and output of Planting Crops.
Description
Technical field
The present invention relates to agricultural technology field, more particularly to a kind of regional agriculture production Prediction System.
Background technology
With the development of information technology and mechanical technique, various production industries all introduce intelligence control system.Before this
Put, reading intelligent agriculture has also been put on schedule.The research direction of reading intelligent agriculture is concentrated mainly on on-line monitoring direction at present, for
Proportion of crop planting, which is assessed, to be need to be excavated.
The content of the invention
Based on technical problem existing for background technology, the present invention proposes a kind of regional agriculture production Prediction System.
A kind of regional agriculture production Prediction System proposed by the present invention, total domain Nei Ge monitored areas are estimated most for detecting
Excellent production status, regional agriculture production Prediction System include：
It is used for the component detection apparatus for detecting soil property in each monitored area；
Meteorology for obtaining the current year meteorology for estimating total domain estimates module；
For storing the reference database of various crop growth soil conditions and meteorological condition；
Testing result and meteorology for combining each component detection apparatus are estimated the estimation results of module and contrasted with reference to number
It is the control process module that crops are distributed in each monitored area according to storehouse；
Total domain map is estimated for basis and each monitored area distribution crop is established and estimates crop pattern map in total domain
Model building module；
Control process module connects each component detection apparatus respectively, meteorology estimates module, is established with reference to database and model
Module.
Preferably, meteorological module of estimating obtains meteorological estimation results of current year by Meteorological Unit；It is or meteorological pre-
Estimate module to be used to be predicted the current annual meteorology for estimating total domain with reference to history weather information.
Preferably, meteorological module of estimating is used to be assessed with reference to the meteorological of nearest 3-5 according to default Meteorological Evaluating Models
The current year for estimating total domain is meteorological.
Preferably, being established with reference to each middle crops of doubling in database has set, and farming name is included in each set
Claim, grow soil condition and meteorological condition.
Preferably, grow soil condition and include various beneficiating ingredient content threshold values and unfavorable growth in soil and estranged enumerate
.
Preferably, control process module can with reference to database selection for being combined according to the meteorological assessment result for assessing total domain
Object is planted, and the testing result control of the component detection apparatus for combining each monitored area can respectively plant the growth soil of object
Matter condition determines the optimal crop of each monitored area.
A kind of regional agriculture production Prediction System proposed by the present invention, with reference to soil characteristic and Meteorological Characteristics, entirely to comment
Estimate each monitored area in total domain and carry out optimal crop distribution.In the present invention, the large area covering of Meteorological Characteristics has been taken into full account
Property and soil constituent regional differentiation, control process module combined with reference to number according to the meteorological assessment result for assessing total domain first
Object can be planted by being chosen according to storehouse, and the testing result control then in conjunction with the component detection apparatus of each monitored area can respectively plant object
Growth soil condition determine the optimal crop of each monitored area.In this way, by Meteorological Characteristics to entirely assessing the optional of total domain
Crop carries out preliminary screening, improves the follow-up efficiency finely screened for monitored area.Be advantageous to improve and entirely estimate
The operating efficiency of system.
The present invention realizes the total arrangement for regional crops, and the optimization for being advantageously implemented plantation soil uses,
Improve the ratio for input and output of Planting Crops.
Brief description of the drawings
Fig. 1 produces Prediction System structure chart for a kind of regional agriculture proposed by the present invention.
Embodiment
A kind of reference picture 1, regional agriculture production Prediction System proposed by the present invention, is respectively monitored for detecting to estimate in total domain
The Optimal Production situation in region.The regional agriculture produces Prediction System, including：Component detection apparatus, meteorology estimate module, reference
Database, model building module and control process module.
Component detection apparatus is provided with multiple, is separately mounted to be used to detect the composition of soil property in each monitored area.
Meteorology estimate module be used for obtain estimate total domain it is current year meteorology.In present embodiment, meteorology estimates module
Meteorological estimation results of current year directly can be obtained by Meteorological Unit.Or meteorology estimates module and is used to combine history gas
Image information is predicted to the current annual meteorology for estimating total domain.In present embodiment, meteorology, which is estimated, is preset with meteorology in module
Assessment models, meteorology estimate module by nearest 3-5 it is meteorological substitute into meteorology estimate module with assess estimate total domain when the year before last
Degree is meteorological.
It is used to store various crop growth soil conditions and meteorological condition with reference to database.In present embodiment, reference
Each middle crops of doubling, which are established, in database set, gentle comprising cultivar name, growth soil condition in each set
As condition.Growing soil condition includes various beneficiating ingredient content threshold values and unfavorable growth listed item estranged in soil.Specifically,
In set, subset can be established respectively for beneficiating ingredient, unfavorable composition and meteorological condition.For example, referring to having one kind in database
Crops M, composition A-10% is needed in the crops M soil for growth, composition B-5%, composition C-2%, separately has components D and E not
Beneficial to the plant growth, the meteorological condition of the plant growth is：Light application time F, temperature range G and day and night temperature H.In this way, pin
{ M is combined into the collection of the crop M；(A-10%, B-5%, C-2%)；(D, E)；(light application time F, temperature range G, day and night temperature
H)}。
Model building module estimates total domain map for basis and each monitored area distribution crop is established and estimated in total domain
Crop pattern map is simultaneously shown, the optimal crops allocation result in total domain is estimated so that user gets information about.
Control process module connects each component detection apparatus respectively, meteorology estimates module, is established with reference to database and model
Module.Control process module is used for the testing result for combining each component detection apparatus and the meteorological estimation results for estimating module and right
Than being that crops are distributed in each monitored area with reference to database.
Specifically, in present embodiment, control process module is used to combine ginseng according to the meteorological assessment result for assessing total domain
Object can be planted by being chosen according to database.In present embodiment, according to the regionality of meteorology, directly carried out to assessing the meteorological of total domain
Overall prediction, the characteristics of meeting Meteorological Characteristics broad covered area, be advantageous to improve the efficiency of meteorological judgement., can in present embodiment
The selection of object is planted, only considers meteorological condition, so as to carry out preliminary screening to crops as object to assess total domain.
The testing result control that control process module is additionally operable to the component detection apparatus with reference to each monitored area can respectively plant
The growth soil condition of object determines the optimal crop of each monitored area.In present embodiment, control process module basis first
Unfavorable growth components exclude each monitored area and are not suitable for crop from can plant in object, then, according to the coincidence factor of beneficiating ingredient
Optimal crop can be selected from remaining in long-term cropping.
In present embodiment, preliminary screening is carried out to the optional crop for entirely assessing total domain by Meteorological Characteristics, improved
The follow-up efficiency finely screened for monitored area.Be advantageous to improve the operating efficiency of whole Prediction System.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its
Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.
Claims (6)
1. a kind of regional agriculture produces Prediction System, the Optimal Production situation of total domain Nei Ge monitored areas is estimated for detecting, its
It is characterised by, regional agriculture production Prediction System includes：
It is used for the component detection apparatus for detecting soil property in each monitored area；
Meteorology for obtaining the current year meteorology for estimating total domain estimates module；
For storing the reference database of various crop growth soil conditions and meteorological condition；
Testing result and meteorology for combining each component detection apparatus are estimated the estimation results of module and contrasted with reference to database
The control process module of crops is distributed for each monitored area；
Total domain map is estimated for basis and the model of crop pattern map in total domain is estimated in distribution crop foundation in each monitored area
Establish module；
Control process module connects each component detection apparatus respectively, meteorology estimates module, with reference to database and model building module.
2. regional agriculture as claimed in claim 1 produces Prediction System, it is characterised in that meteorology estimates module and passes through meteorological list
Position obtains meteorological estimation results of current year；Or meteorology estimate module be used for combine history weather information to estimating total domain
Current annual meteorology be predicted.
3. regional agriculture as claimed in claim 1 produces Prediction System, it is characterised in that meteorology is estimated module and is used for according in advance
If Meteorological Evaluating Models with reference to nearest 3-5 it is meteorological assess estimate total domain current year it is meteorological.
4. regional agriculture as claimed in claim 1 produces Prediction System, it is characterised in that with reference to each middle peasant of doubling in database
Crop, which is established, set, and cultivar name, growth soil condition and meteorological condition are included in each set.
5. regional agriculture as claimed in claim 4 produces Prediction System, it is characterised in that growth soil condition is included in soil
Various beneficiating ingredient content threshold values and unfavorable growth listed item estranged.
6. the regional agriculture production Prediction System described in claim 1 or 4, it is characterised in that control process module is used for basis
Object can be planted with reference to reference to database selection by assessing the meteorological assessment result in total domain, and for combining the composition of each monitored area
The growth soil condition that the testing result control of detection means can respectively plant object determines the optimal crop of each monitored area.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711199072.3A CN107895210A (en) | 2017-11-26 | 2017-11-26 | A kind of regional agriculture produces Prediction System |
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| CN201711199072.3A CN107895210A (en) | 2017-11-26 | 2017-11-26 | A kind of regional agriculture produces Prediction System |
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| CN107895210A true CN107895210A (en) | 2018-04-10 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109983898A (en) * | 2019-03-15 | 2019-07-09 | 合肥工业大学 | Crops based on soil property monitoring system apply fertilizers scientifically method |
| US20210073699A1 (en) * | 2019-09-06 | 2021-03-11 | International Business Machines Corporation | Cognitive enabled blockchain based resource prediction |
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| CN105701615A (en) * | 2016-01-13 | 2016-06-22 | 湖南盛鼎科技发展有限责任公司 | Crop suitability evaluation method based on environment information |
| CN106060174A (en) * | 2016-07-27 | 2016-10-26 | 昆山阳翎机器人科技有限公司 | Data analysis based agricultural guidance system |
| CN106599136A (en) * | 2016-11-30 | 2017-04-26 | 深圳前海弘稼科技有限公司 | Method and device for guiding agricultural production based on big data |
| CN106688827A (en) * | 2016-12-09 | 2017-05-24 | 中国科学院新疆生态与地理研究所 | Irrigation decision-making system and method based on agricultural system model |
| CN206541342U (en) * | 2016-06-15 | 2017-10-03 | 北京华泰德丰技术有限公司 | A kind of Agricultural Information sends system |
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2017
- 2017-11-26 CN CN201711199072.3A patent/CN107895210A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701615A (en) * | 2016-01-13 | 2016-06-22 | 湖南盛鼎科技发展有限责任公司 | Crop suitability evaluation method based on environment information |
| CN206541342U (en) * | 2016-06-15 | 2017-10-03 | 北京华泰德丰技术有限公司 | A kind of Agricultural Information sends system |
| CN106060174A (en) * | 2016-07-27 | 2016-10-26 | 昆山阳翎机器人科技有限公司 | Data analysis based agricultural guidance system |
| CN106599136A (en) * | 2016-11-30 | 2017-04-26 | 深圳前海弘稼科技有限公司 | Method and device for guiding agricultural production based on big data |
| CN106688827A (en) * | 2016-12-09 | 2017-05-24 | 中国科学院新疆生态与地理研究所 | Irrigation decision-making system and method based on agricultural system model |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109983898A (en) * | 2019-03-15 | 2019-07-09 | 合肥工业大学 | Crops based on soil property monitoring system apply fertilizers scientifically method |
| US20210073699A1 (en) * | 2019-09-06 | 2021-03-11 | International Business Machines Corporation | Cognitive enabled blockchain based resource prediction |
| US11836656B2 (en) * | 2019-09-06 | 2023-12-05 | International Business Machines Corporation | Cognitive enabled blockchain based resource prediction |
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Application publication date: 20180410 |