CN110929917A - Agricultural land crop optimization management system - Google Patents
Agricultural land crop optimization management system Download PDFInfo
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- CN110929917A CN110929917A CN201911015289.3A CN201911015289A CN110929917A CN 110929917 A CN110929917 A CN 110929917A CN 201911015289 A CN201911015289 A CN 201911015289A CN 110929917 A CN110929917 A CN 110929917A
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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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention discloses an agricultural land based crop planting optimization management system, which comprises the following structures: a logging module: the input module inputs the collected crop information and transmits the input crop information to the statistical analysis module; a statistical analysis module: the statistical analysis module is used for performing statistical analysis on the input data, the analysis comprises crop names, crop planting cost, crop planting area, crop market price, crop growth period and crop growth indexes, and the calculation module is used for: calculating the optimal crop planting scheme with the maximum output per mu in the year according to a set operation mode; the invention has novel design, analyzes and calculates the input data through the analysis and calculation module, and improves the land utilization rate to the maximum extent through calculating the maximum land transplanting, so that the yield per mu reaches the maximum benefit.
Description
Technical Field
The invention belongs to the technical field of agricultural intelligent systems, and relates to a land optimal utilization management system.
Background
Agriculture is the basic science of our cloth feeding development, and clothing eating and housing rows can not leave agricultural products, however, at present, available planting land is not much, for large-scale cities, the land utilization rate and the mu average output rate are far lower than the level of developed countries, the main reasons are that the land utilization rate is not high, the idle time or half idle time is much, and the efficiency of agricultural production is greatly influenced.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide an agricultural land crop optimization management system, which aims to improve the idle state of the existing land and improve the utilization rate of agricultural land, thereby improving the output per mu of the land and improving the production efficiency.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an agricultural land crop optimization management system comprising the following structure:
a logging module: the input module inputs the basic historical experience statistical information of the crops into a database, wherein the basic historical experience statistical information of the crops comprises crop species names, crop planting cost, crop planting area, crop market price, crop growth cycle and crop growth indexes; recording a piece of data for each common crop, wherein the source of the data is the average biological index of the crop in the last 3 years and the corresponding price index of the last quarter; the indexes are all obtained from public occasions and are stored in a database through an entry module for being called at any time.
A database: the database is used for storing the recorded data in a concluding mode, the analysis module is convenient to use, the stored data are called through the server, meanwhile, the database data can be updated in season, and the original data are adjusted according to the latest crop data. So as to facilitate accurate subsequent calling.
An analysis calculation module: the analysis and calculation module is used for analyzing the called data, the analysis mode is that the name of the crop type, the crop planting cost, the crop planting area, the market price of the crop, the crop growth period and the crop growth index are synthesized, the price and the planting type are used as variables, the rest are quantitative, all combination modes are simulated, an operation formula is operated, the operation formula calls the existing multivariate variable function maximum derivation calculation method in the prior art, the optimal crop planting scheme with the maximum output per mu in the fixed period is calculated, and finally the optimal crop planting scheme is stored in a database.
The system operation method comprises the following steps: firstly, storing the existing crop information in a database in a datamation way, determining the ration as the total area S when the optimal planting scheme of a certain plot needs to be analyzed, then calling the crop information in the database, and obtaining the crop planting time and the harvest and change information through computer combination calculation for guiding agricultural production; since the space required for each crop to grow, such as the inter-plant spacing, is constant, and the fruiting or maturation time is also constant, a batch is selected to be set as a ration, as the main crop, by computer setting, in the case of a fixed M, for example: the method is characterized in that a plurality of types of crops are mixed, a main crop can be mixed with a plurality of types of crops such as A type crops, B type crops, C type crops and the like for planting, the harvest times and the unit price of the mixed type crops are quantitative, the expected income can be estimated at each planting point, the time factor needs to be considered because the prices of the crops are greatly different in different months every year, different combinations are given every month, the main crop can be adjusted according to market conditions, and therefore a computer automatically calculates the results of all possible combinations and then selects the combination mode with the highest income.
The invention has the following advantages: the invention has novel design, analyzes and calculates the input data through the analysis and calculation module, improves the land utilization rate to the maximum extent through calculating the maximum land transplanting, is convenient to manage and trace, and ensures that the output per mu reaches the maximum benefit.
Drawings
Fig. 1 is a working principle diagram of an agricultural land intelligent management system.
Detailed Description
For further understanding of the present invention, embodiments of the present invention will be described in further detail below with reference to examples and comparative examples, but embodiments of the present invention are not limited thereto.
In order to make the purpose and technical solution of the present invention more apparent, the present invention is further described in detail with reference to the following examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. The following describes the application of the present invention in detail.
Example 1
An agricultural land crop optimization management system comprising the following structure:
a logging module: the input module inputs the basic historical experience statistical information of the crops into a database, wherein the basic historical experience statistical information of the crops comprises crop species names, crop planting cost, crop planting area, crop market price, crop growth cycle and crop growth indexes; recording a piece of data for each common crop, wherein the source of the data is the average biological index of the crop in the last 3 years and the corresponding price index of the last quarter; the indexes are all obtained from public occasions and are stored in a database through an entry module for being called at any time.
A database: the database is used for concluding up the data after typing and depositing, makes things convenient for analysis module and transfers the data of depositing through the server, and simultaneously, database data can be updated in the season, according to latest crop data, adjusts original data to it is accurate to make things convenient for follow-up transfer.
An analysis calculation module: the analysis and calculation module is used for analyzing the called data, the analysis mode is that the names of the types of the crops, the planting cost of the crops, the planting area of the crops, the market price of the crops, the growth period of the crops and the growth indexes of the crops are synthesized, the price and the combination mode are used as variables, the rest of the indexes can be set as fixed quantities, an operation formula is operated, the operation formula calls the existing multivariate variable function maximum value derivation calculation method in the prior art, the maximum optimal planting scheme of the crops produced in mu in the current year is calculated, and finally the maximum optimal planting scheme is stored in a database.
The system operation method comprises the following steps: firstly, storing the existing crop information in a database in a datamation way, determining the ration as the total area S when the optimal planting scheme of a certain plot needs to be analyzed, then calling the crop information in the database, and obtaining the crop planting time and the harvest and change information through computer combination calculation for guiding agricultural production; since the space required for each crop to grow, such as the inter-plant spacing, is constant, the fruiting or maturation time is also constant, a batch is selected to be set as a ration, one type of crop is marked as the main crop, set by computer, in the case of a fixed M, for example: the method is characterized in that a plurality of types of crops are mixed, a main crop and a plurality of types of A and B and C crops can be mixed for planting, the harvest times and the unit price of the mixed type crops are fixed, the expected income can be estimated at each planting point, the time factor needs to be considered because the prices of the crops are greatly different in different months every year, different combinations are given every month, the main crop can be adjusted according to market conditions, and therefore a computer automatically calculates the results of all possible combinations and then selects the combination mode with the highest income.
The invention has the following advantages: the invention has novel design, analyzes and calculates the input data through the analysis and calculation module, improves the land utilization rate to the maximum extent through calculating the maximum land transplanting, is convenient to manage and trace, and ensures that the output per mu reaches the maximum benefit.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and any modifications or equivalent variations made in accordance with the technical spirit of the present invention are within the scope of the present invention as claimed.
Claims (3)
1. An agricultural land crop optimization management system, comprising the following structure:
a logging module: the input module inputs the basic historical experience statistical information of the crops into a database, wherein the basic historical experience statistical information of the crops comprises crop species names, crop planting cost, crop planting area, crop market price, crop growth cycle and crop growth indexes;
a database: the database is used for summarizing and storing the input data, so that the analysis module and the server can call the stored data conveniently;
an analysis calculation module: the analysis and calculation module is used for analyzing the called data, simulating a combination mode, calculating the optimal crop planting scheme with the maximum output per mu in a fixed period, and finally storing the optimal crop planting scheme in a database.
2. The agricultural land crop optimization management system of claim 1, wherein the database entry data is updated on a case-by-case basis.
3. A management system according to any one of claims 1 to 2, wherein the management system is implemented under greenhouse conditions.
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| CN201911015289.3A CN110929917A (en) | 2019-10-24 | 2019-10-24 | Agricultural land crop optimization management system |
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| CN201911015289.3A CN110929917A (en) | 2019-10-24 | 2019-10-24 | Agricultural land crop optimization management system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112597384A (en) * | 2020-12-16 | 2021-04-02 | 重庆电子工程职业学院 | Traditional Chinese medicine agricultural informatization service platform |
| CN113837602A (en) * | 2021-09-23 | 2021-12-24 | 清远市巨劲科技有限公司 | Intelligent agricultural planting service system based on agricultural big data platform |
| US20220207621A1 (en) * | 2020-12-29 | 2022-06-30 | International Business Machines Corporation | Interaction neural network for providing feedback between separate neural networks |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104914828A (en) * | 2015-04-22 | 2015-09-16 | 柳州易农科技有限公司 | Intelligent system for agriculture |
| CN105260791A (en) * | 2015-09-25 | 2016-01-20 | 苏州携优信息技术有限公司 | Planting plan optimization system and method based on agricultural Internet of Things and big data analysis |
| 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 |
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2019
- 2019-10-24 CN CN201911015289.3A patent/CN110929917A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104914828A (en) * | 2015-04-22 | 2015-09-16 | 柳州易农科技有限公司 | Intelligent system for agriculture |
| CN105260791A (en) * | 2015-09-25 | 2016-01-20 | 苏州携优信息技术有限公司 | Planting plan optimization system and method based on agricultural Internet of Things and big data analysis |
| 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 |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112597384A (en) * | 2020-12-16 | 2021-04-02 | 重庆电子工程职业学院 | Traditional Chinese medicine agricultural informatization service platform |
| US20220207621A1 (en) * | 2020-12-29 | 2022-06-30 | International Business Machines Corporation | Interaction neural network for providing feedback between separate neural networks |
| CN113837602A (en) * | 2021-09-23 | 2021-12-24 | 清远市巨劲科技有限公司 | Intelligent agricultural planting service system based on agricultural big data platform |
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Application publication date: 20200327 |