CN111415268A - Agricultural product planting selection method - Google Patents
Agricultural product planting selection method Download PDFInfo
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- CN111415268A CN111415268A CN202010198110.9A CN202010198110A CN111415268A CN 111415268 A CN111415268 A CN 111415268A CN 202010198110 A CN202010198110 A CN 202010198110A CN 111415268 A CN111415268 A CN 111415268A
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- 238000010187 selection method Methods 0.000 title claims description 9
- 239000002689 soil Substances 0.000 claims abstract description 43
- 235000015097 nutrients Nutrition 0.000 claims abstract description 18
- 230000004720 fertilization Effects 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 10
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims abstract description 6
- 238000002372 labelling Methods 0.000 claims abstract description 4
- 238000012360 testing method Methods 0.000 claims abstract description 4
- 230000008092 positive effect Effects 0.000 abstract description 2
- 238000012271 agricultural production Methods 0.000 description 4
- 238000009826 distribution Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000035558 fertility Effects 0.000 description 2
- 239000003337 fertilizer Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 229920000742 Cotton Polymers 0.000 description 1
- 229910001443 Cr6+ Inorganic materials 0.000 description 1
- KRHYYFGTRYWZRS-UHFFFAOYSA-M Fluoride anion Chemical compound [F-] KRHYYFGTRYWZRS-UHFFFAOYSA-M 0.000 description 1
- 244000062793 Sorghum vulgare Species 0.000 description 1
- 229910052785 arsenic Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052793 cadmium Inorganic materials 0.000 description 1
- 238000013479 data entry Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000000378 dietary effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 229910052745 lead Inorganic materials 0.000 description 1
- 229910052753 mercury Inorganic materials 0.000 description 1
- 235000019713 millet Nutrition 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000618 nitrogen fertilizer Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000000007 visual effect Effects 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
- 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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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C21/00—Methods of fertilising, sowing or planting
- A01C21/005—Following a specific plan, e.g. pattern
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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
- A01G22/00—Cultivation of specific crops or plants not otherwise provided for
- A01G22/20—Cereals
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- 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
- G06F16/29—Geographical information databases
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- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
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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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- Game Theory and Decision Science (AREA)
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- Data Mining & Analysis (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
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Abstract
The invention discloses a method for selecting agricultural product planting, which comprises the steps of calling a Baidu map interface, setting and opening a map center position, and obtaining longitude and latitude of a collection point, an environmental quality analysis and test result and soil nutrient information data; setting the longitude and latitude of the collection point, the number of the collection point, the administrative position of the collection point, the soil environment quality condition, the soil nutrient information and a formula fertilization scheme suggestion; setting the size of an information frame; and adding the labeling information into a map, acquiring soil environment quality conditions, soil nutrient information and a formula fertilization scheme suggestion, and completing planting selection. The method can intuitively provide local agricultural products, and has the advantages and positive effects compared with the prior method.
Description
Technical Field
The invention belongs to the technical field of agriculture, and particularly relates to a selection method for agricultural product planting.
Background
Improving the dietary structure of people, promoting the economy of poor areas and developing regional economic benefits are the necessity and the urgency for developing green ecological agriculture. At present, no guidance system for planting green agricultural products exists in the market. A user determines the agricultural production place by using the positioning system, and can conveniently look up the soil environment quality condition, the soil nutrient information, the formula fertilization scheme suggestion, the corresponding precautionary measure and the soil improvement.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method for selecting agricultural product planting aiming at the defects in the prior art, wherein a navigation system is applied by a user to determine the agricultural production place position through field environment detection, including longitude and latitude of a collection point, an environmental quality analysis and test result and a soil nutrient information data entry system, the soil environmental quality condition, soil nutrient information and a formula fertilization scheme suggestion can be looked up by clicking the information point of the area where the user is located, and corresponding precautionary measures and improvement technologies can be adopted by combining the data value, so that a visual and reliable basis is provided for local agricultural production.
The invention adopts the following technical scheme:
a method of agricultural product planting selection comprising the steps of:
s1, calling a Baidu map interface, setting a map center opening position, and obtaining longitude and latitude of a collection point, an environmental quality analysis and test result and soil nutrient information data;
s2, setting longitude and latitude of the collection point, the number of the collection point, the administrative position of the collection point, the soil environment quality condition, the soil nutrient information and a formula fertilization scheme suggestion;
s3, setting the size of the information frame;
and S4, adding the labeling information into the map, acquiring soil environment quality conditions, soil nutrient information and a formula fertilization scheme suggestion, and completing planting selection.
Specifically, in step S1, the origin of the ground is set to the initial position of the map opening interface.
Specifically, in step S2, the longitude and latitude of the collection point, the collection point number, the collection point administrative position, the soil environmental quality condition, the soil nutrient information, and the formula fertilization proposal are sequentially displayed in the map interface of step S1 according to the collection point format.
Specifically, in step S3, the size of the pop-up information box is adjusted according to the information content of the collection point.
Specifically, in step S4, marking the collected data points on the map through a for loop; creating an information window on each marking point; acquiring longitude and latitude of clicked acquisition point in single click mode
Compared with the prior art, the invention has at least the following beneficial effects:
the agricultural product planting selection method is convenient for users to know the position information of the area where the agricultural product is located and know the basic information of the soil around the collection point, and according to the soil nutrient information components of the collection point, the agricultural product variety for planting and the scientific fertilization suggestion of the variety are familiar, the soil environment quality condition, the soil nutrient information and the formula fertilization scheme are all displayed at the proper position, and the users can conveniently know the collection point information of the surrounding soil environment.
In conclusion, the method can intuitively provide local agricultural products, and has the advantages and positive effects compared with the prior method.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a plot of 378 sample points from Yulin City;
FIG. 2 is a soil environment quality index of a wide group of Korean trees in the Yangshan area, Hanyunzhen, Sanxincun;
FIG. 3 is soil fertility index of Korean wide group of three-star village in Yuanshan district at Koxuanzhen;
FIG. 4 is a formula of Korean wide group fertilization scheme of three-star village in Hanxiong town in Yangshan area.
Detailed Description
The invention provides an agricultural product planting selection system, which comprises:
and the display unit is used for controlling the range of the login user for the user login interface.
And the control unit is used for collecting mark points for each index of agricultural products in the elm forest city, each mark point is marked on the map by using a red mark, and a user can view the whole range in the area. The mark points are 378 distribution maps of collected sample points collected in the elm forest market, so that planting distribution and producing area influence factors of elm forest crops can be conveniently known, and a foundation is laid for next research
And the analysis unit is used for providing a fertilization suggestion scheme for sampling point data which mainly comprises 9 indexes of detection and analysis of pH, CODcr, Pb, Cd, fluoride, As, Hg, Cr6+, petroleum and green agricultural product production.
The agricultural product planting selection method comprises the steps of constructing data retrieval with rich data and strong interactivity at a collection point on a website by calling an application program interface of a Baidu map API, wherein the system supports application development of a PC (personal computer) browser; the method comprises the following steps:
s1, calling a Baidu map interface, and setting the central position of the map to be opened, wherein the central position mainly relates to longitude and latitude;
the map initial state is set to be the initial position of the map opening interface of the origin of the land of the people's republic of China, the map can be set to be zoomed through a mouse, the user can browse conveniently, and meanwhile the current position of the user can be obtained.
S2, setting a relevant index;
sequentially displaying the collected information points (longitude and latitude of the collection points, the number of the collection points, administrative positions of the collection points, soil environment quality conditions, soil nutrient information and formula fertilization scheme suggestions) in a map interface according to the format of the collection points; s2 is further loaded on the map on the basis of step S1.
S3, setting the window size;
the user clicks the label, the system pops up an information frame, and the size of the information frame can be adjusted according to the information content of the acquisition point; and (4) popping up the scientific research of the mark point through JS and Baidu API interfaces.
And S4, adding the labeling information into the map, acquiring soil environment quality conditions, soil nutrient information and a formula fertilization scheme suggestion, and completing planting selection.
Marking the collected data points on a map through for circulation; creating an information window on each marking point; and clicking to obtain the longitude and latitude of the clicked acquisition point.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
Referring to fig. 1, fig. 2, fig. 3 and fig. 4, soil conditions in elm forest market are sampled, specific distribution conditions of 378 sampling points are determined, soil environment quality and soil fertility quality indexes of korean wide groups of sanxincun in the cross mountain area are analyzed, the soil type is determined to be yellow cotton soil, level II in dry land, and aiming at crop millet, the suggested fertilizer application scheme of the invention is as follows: applying nitrogen fertilizer 70% as bottom application and 30% as top application in heading period, wherein the maximum yield of the fertilizer application is as follows: y199.09 is 7.64N +2.25P +7.79K, and the fertilizing amount with the best yield is Y182.67 is 4.7N +1.65P + 2.78K.
In conclusion, the agricultural product planting selection method provided by the invention has the advantages that the water and soil environments produced by main agricultural products are sampled and detected, the water and soil environment influence factors and the suitability of the green agricultural products are evaluated, the way for improving the environment quality and the measures for comprehensively preventing and treating pollution are explored, the environment production environment of green agriculture is comprehensively known, the advantages and the disadvantages are brought forward, the factors are applied, and a comprehensive evaluation and environment risk early warning mechanism is established, so that the deterioration of the agricultural production environment is effectively restrained, and the reasonable utilization of the dominant resources is promoted.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (5)
1. A method for selecting agricultural product planting is characterized by comprising the following steps:
s1, calling a Baidu map interface, setting a map center opening position, and obtaining longitude and latitude of a collection point, an environmental quality analysis and test result and soil nutrient information data;
s2, setting longitude and latitude of the collection point, the number of the collection point, the administrative position of the collection point, the soil environment quality condition, the soil nutrient information and a formula fertilization scheme suggestion;
s3, setting the size of the information frame;
and S4, adding the labeling information into the map, acquiring soil environment quality conditions, soil nutrient information and a formula fertilization scheme suggestion, and completing planting selection.
2. The agricultural product planting selection method of claim 1, wherein in step S1, the origin of the ground is set to an initial position of the map opening interface.
3. The agricultural product planting selection method of claim 1, wherein in step S2, the latitude and longitude of the collection point, the collection point number, the collection point administrative location, the soil environmental quality status, the soil nutrient information, and the formula fertilization proposal are sequentially displayed in the map interface of step S1 according to the collection point format.
4. A method for selecting agricultural product planting according to claim 1, wherein in step S3, the size of the pop-up information box is adjusted according to the information content of the collection point.
5. The agricultural product planting selection method of claim 1, wherein in step S4, the collected data points are labeled on a map by a for loop; creating an information window on each marking point; and clicking to obtain the longitude and latitude of the clicked acquisition point.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010198110.9A CN111415268A (en) | 2020-03-19 | 2020-03-19 | Agricultural product planting selection method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010198110.9A CN111415268A (en) | 2020-03-19 | 2020-03-19 | Agricultural product planting selection method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111985694A (en) * | 2020-07-29 | 2020-11-24 | 北京派得伟业科技发展有限公司 | Planting planning system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101996349A (en) * | 2009-08-21 | 2011-03-30 | 中国科学院东北地理与农业生态研究所 | Decision support system for cropland management and fertilization |
| CN103208048A (en) * | 2013-04-22 | 2013-07-17 | 天津市农业技术推广站 | System architecture for agricultural information service platform |
-
2020
- 2020-03-19 CN CN202010198110.9A patent/CN111415268A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101996349A (en) * | 2009-08-21 | 2011-03-30 | 中国科学院东北地理与农业生态研究所 | Decision support system for cropland management and fertilization |
| CN103208048A (en) * | 2013-04-22 | 2013-07-17 | 天津市农业技术推广站 | System architecture for agricultural information service platform |
Non-Patent Citations (3)
| Title |
|---|
| 李想等: "嵌入式GIS技术在农业上的应用", 《中国农学通报》 * |
| 王星明等: "集成3S,ZigBee和射频识别的土壤采样远程智能管理***", 《农业工程学报》 * |
| 颜安等: "基于GIS Server的罗布泊"大耳朵"地区土壤信息***", 《干旱地区农业研究》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111985694A (en) * | 2020-07-29 | 2020-11-24 | 北京派得伟业科技发展有限公司 | Planting planning system |
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