CN114677047A - Agricultural production planning accurate decision-making system and method based on multi-source data - Google Patents
Agricultural production planning accurate decision-making system and method based on multi-source data Download PDFInfo
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Abstract
The invention discloses an agricultural production planning accurate decision making system and method based on multi-source data, relates to the technical field of agricultural production, and solves the technical problems that in the prior art, in the agricultural production guidance process, experts are required to participate in the whole process, and the production process cannot be monitored and fed back in time, so that the decision making efficiency is low and the problem is not found in time; according to the method and the system, the production strategy is matched for the production area according to the multi-source data, a user carries out production work according to the production strategy, feeds back problems encountered in the production process, and monitors the implementation of the production strategy to complete resource coordination, so that the decision efficiency and the decision accuracy can be improved; in the agricultural production decision making process, the multi-source data and the related historical data are automatically combined for matching to generate the production strategy, real-time monitoring feedback is carried out on the implementation process of the production strategy, decision making precision can be improved, and smooth agricultural production can be guaranteed by combining resource coordination.
Description
Technical Field
The invention belongs to the field of agricultural production, relates to an agricultural production planning decision making technology based on multi-source data, and particularly relates to an agricultural production planning accurate decision making system and method based on the multi-source data.
Background
Agricultural development faces a number of problems, such as low industrialization, high production cost, ecological environment destruction, etc., which hinder further development of agriculture, and because farmers have low culture levels, production still depends on traditional experience, resulting in low crop yield and low farmer income.
The prior art (patent invention with publication number CN 111815110A) discloses an agricultural production planning accurate decision method and system based on big data and artificial intelligence, which guides agricultural production by help of big data and artificial intelligence to improve the quality and products of agricultural products. In the prior art, in the agricultural production guidance process, experts are required to participate in the whole process, and the production process cannot be monitored and fed back in time, so that the decision-making efficiency is low and the problem is not found in time; therefore, an accurate decision-making system and method for agricultural production planning based on multi-source data is needed.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides an agricultural production planning accurate decision making system and method based on multi-source data, which are used for solving the technical problems that in the prior art, in the agricultural production guidance process, experts are required to participate in the whole process, and the production process cannot be monitored and fed back in time, so that the decision making efficiency is low and the problem is not found in time.
According to the method and the system, the data acquisition module is used for acquiring multi-source data, the production strategy is matched for the production area according to the multi-source data, a user carries out production work according to the production strategy, the problems encountered in the production process are fed back, the implementation of the production strategy is monitored simultaneously, resource coordination is completed, and decision efficiency and decision accuracy can be improved.
In order to achieve the above object, a first aspect of the present invention provides an agricultural production planning accurate decision-making system based on multi-source data, which includes a data analysis module, and a data acquisition module and a plurality of intelligent terminals connected thereto;
multi-source data are collected through the data collection module, and are sent to the data analysis module after data processing; wherein the multi-source data comprises climate data, ecological data and image data;
the data analysis module matches a production strategy for a production area according to the multi-source data; wherein the production strategy comprises a planting strategy and a monitoring strategy; and
monitoring the implementation of the production strategy in real time, and coordinating resources according to the monitoring result; wherein the production strategy comprises production operations and corresponding operation deadlines;
and the user acquires the production strategy through the intelligent terminal and feeds back problems through the intelligent terminal.
Preferably, the data analysis module is in communication and/or electrical connection with the data acquisition module and the plurality of intelligent terminals; the intelligent terminal comprises an intelligent mobile phone and a computer;
the data acquisition module acquires the multi-source data through an acquisition sensor; wherein, the acquisition sensor is arranged in a remote sensing satellite, an unmanned aerial vehicle or a farmland.
Preferably, before the data analysis module obtains the production policy, performing ecological monitoring on the production area based on the multi-source data, including:
acquiring a target area, dividing the target area according to geographic conditions, and acquiring a plurality of production areas;
and acquiring ecological data of the production area, and analyzing and evaluating the ecological environment of the production area by combining with the crop planting environment.
Preferably, the data analysis module generates the planting strategy for the production area according to the climate data, including:
obtaining alternative crops related to the production area;
screening the alternative crops according to the climate data to obtain target crops;
when the target crop is determined to be planted, determining a planting period by combining the area of the production area and the climate data;
integrating the target crop and the corresponding planting time limit to generate the planting strategy.
Preferably, the data analysis module generates the monitoring policy for the production area according to the image data, and includes:
acquiring a disaster state by recognizing the image data; wherein the disaster state comprises an insect pest state and a natural disaster state;
matching disposal measures and corresponding disposal duration for the production area according to the disaster state;
and integrating the treatment measures and the treatment duration to generate the monitoring strategy.
Preferably, the user receives the production strategy through the intelligent terminal and carries out production work according to the production strategy; and performing problem feedback through the intelligent terminal.
Preferably, the data analysis module performs resource coordination on the monitoring result implemented by the production strategy according to the problem feedback; wherein the resource coordination comprises human coordination, mechanical coordination and material coordination.
The invention provides a multi-source data-based agricultural production planning accurate decision method, which comprises the following steps:
multi-source data are acquired through a data acquisition module, and are sent to a data analysis module after data processing;
matching a production strategy for a production area according to the multi-source data, distributing the production strategy to users, and carrying out agricultural production by the users according to the production strategy;
and monitoring the implementation of the production strategy in real time, and coordinating resources by combining problem feedback.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method and the system, the data acquisition module is used for acquiring multi-source data, the production strategy is matched for the production area according to the multi-source data, a user carries out production work according to the production strategy, the problems encountered in the production process are fed back, the implementation of the production strategy is monitored simultaneously, resource coordination is completed, and decision efficiency and decision accuracy can be improved.
2. In the agricultural production decision making process, the production strategy is generated by automatically combining the multi-source data and the relevant historical data in a matching manner, and the implementation process of the production strategy is monitored and fed back in real time, so that the decision making precision can be improved, reliable reference is provided for agricultural production of users, and the smooth proceeding of the agricultural production can be ensured by combining with resource coordination.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the working steps of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The prior art (patent invention with publication number CN 111815110A) discloses an agricultural production planning accurate decision method and system based on big data and artificial intelligence, which guides agricultural production by help of big data and artificial intelligence to improve the quality and products of agricultural products. In the prior art, in the agricultural production guidance process, experts are required to participate in the whole process, and timely monitoring feedback can not be carried out on the production process, so that the decision-making efficiency is not high and the problem is not found timely.
According to the method and the system, the data acquisition module is used for acquiring multi-source data, the production strategy is matched for the production area according to the multi-source data, a user carries out production work according to the production strategy, the problems encountered in the production process are fed back, the implementation of the production strategy is monitored simultaneously, resource coordination is completed, and decision efficiency and decision accuracy can be improved.
Referring to fig. 1, in a first aspect of the present application, an agricultural production planning precision decision-making system based on multi-source data is provided, including a data analysis module, and a data acquisition module and a plurality of intelligent terminals connected thereto;
multi-source data are acquired through a data acquisition module, and are sent to a data analysis module after data processing;
the data analysis module matches a production strategy for the production region according to the multi-source data; and
monitoring the implementation of a production strategy in real time, and coordinating resources according to a monitoring result;
and the user acquires the production strategy through the intelligent terminal and feeds back problems through the intelligent terminal.
In the application, the data analysis module is in communication and/or electrical connection with the data acquisition module and a plurality of intelligent terminals, and the intelligent terminals comprise intelligent mobile phones, computers and the like; the data acquisition module is through gathering multisource data of collection sensor collection, and the collection sensor setting is in remote sensing satellite, unmanned aerial vehicle or farmland, and the collection sensor includes that camera, temperature sensor, humidity transducer etc. can acquire the collection equipment of multisource data.
The multi-source data in the application comprises climate data, ecological data and image data; the climate data is acquired through a meteorological platform, comprises current climate data and predicted climate data and is used for analyzing whether a production area conforms to the planting climate of crops; the ecological data refers to the ecological environment of the production area, and is acquired through a relevant sensor or platform and used for judging whether the production area meets the ecological conditions of crop planting; the image data refers to image data of a production area acquired by a remote sensing satellite and an unmanned aerial vehicle, and is used for monitoring and recording all activities occurring in the production area.
The production strategies in the application comprise planting strategies, monitoring strategies and the like; the planting strategy is a decision about crop planting obtained through intelligent analysis, and comprises a planted target crop and an allowed planting period; the monitoring strategy is a disaster influence obtained through intelligent analysis, and comprises disposal measures and corresponding disposal duration.
The production strategy in the application comprises production operation and corresponding operation time limit, wherein the target crops and the treatment measures are the production operation, and the corresponding planting time limit and the corresponding treatment time length belong to the operation time limit; it is understood that not all production operations correspond to an operation deadline, and some production operations may not have an explicit operation deadline.
In a preferred embodiment, before the data analysis module obtains the production strategy, the ecological monitoring of the production area based on the multi-source data includes:
acquiring a target area, dividing the target area according to geographic conditions, and acquiring a plurality of production areas; and acquiring ecological data of the production area, and analyzing and evaluating the ecological environment of the production area by combining with the crop planting environment.
The embodiment is that a target area is divided, and the ecological environment is evaluated; the target area is an area needing agricultural production, and a plurality of production areas are obtained by dividing the target area according to geographical conditions; the geographical conditions include elevation, soil properties, etc. for screening out areas suitable for agricultural production.
Carrying out ecological environment evaluation according to ecological data of a production area, wherein whether conditions such as water quality, soil and the like meet the growth of crops or not; before agricultural production, the ecological environment is evaluated, and once ecological problems are found, the ecological problems are timely treated, so that the progress of agricultural production and the growth of crops are prevented from being influenced.
It can be understood that the evaluation of the ecological environment of the production area should be performed before the agricultural production activity, and a reserved time for the ecological environment remediation is required, so that the ecological environment of the production area can reach the standard when the agricultural production activity is started.
In a preferred embodiment, the data analysis module generates a planting strategy for the production area based on the climate data, comprising:
obtaining alternative crops related to a production area, screening the alternative crops according to climate data, and obtaining target crops;
when the target crops are determined to be planted, determining a planting period by combining the area of the production area and the climate data; and integrating the target crops and the corresponding planting time limit to generate a planting strategy.
The method comprises the steps of determining target crops in a production area according to climate data, and generating a planting strategy according to the target crops; in principle, the same production area can correspond to a plurality of target crops, namely, the production area is associated with a plurality of target crops (alternative crops), but whether a certain crop is planted or not is determined by climate, so that the crop to be planted finally, namely the target crop, is determined according to climate data; in other preferred embodiments, climate data and historical planting experience may also be combined to determine the target crop.
The planting time limit is determined according to the area of the production area and the climate data, and the planting of the target crops can be completed within the planting time limit immediately for the user; the planting progress of crops can be influenced by various factors, the climate is certainly a big influence factor, and the planting period is determined by integrating the factors such as the climate, the area and the like.
In a preferred embodiment, the data analysis module generates a monitoring strategy for the production area based on the image data, comprising:
acquiring a disaster state by identifying image data;
matching disposal measures and corresponding disposal duration for the production area according to the disaster state;
and integrating the treatment measures and the treatment duration to generate a monitoring strategy.
The embodiment is to monitor a production area and generate a monitoring strategy by combining image data. A monitoring strategy may be understood as a preventive strategy against disasters that may affect crop production.
The image data acquired by the embodiment is analyzed to identify the disaster state of the production area or the surrounding of the production area, the disaster state comprises an insect pest state, a natural disaster state and the like, and the disposal measures are determined according to the disaster state to timely prevent and dispose the disaster.
After the disposal measures are matched, a disposal duration needs to be set for the disposal measures so as to solve the influence caused by the disaster in time; for example, the periphery of the production area is affected by flood, and if the flood is not timely disposed, the flood will spread to the production area and affect crops therein, so the disposal time is set according to the speed of the flood spreading.
The data analysis module distributes the acquired production strategy to an intelligent terminal of a user, the user carries out agricultural production according to the production strategy, problems encountered by the user in the agricultural production process can be fed back to the data analysis module through the intelligent terminal, and the data analysis module combines with experts to study and judge the problems so as to provide a solution for the user.
In a preferred embodiment, the data analysis module performs resource coordination including human coordination, mechanical coordination, and material coordination according to the problem feedback and the monitoring result of the production strategy implementation.
And monitoring the progress of the production operation, and accelerating the progress through resource coordination if the production operation cannot be completed in the corresponding operation period, so as to ensure the smooth completion of the production operation and further ensure the smooth completion of agricultural production.
The embodiment of the second aspect of the application provides an agricultural production planning accurate decision method based on multi-source data, which comprises the following steps:
multi-source data are acquired through a data acquisition module, and are sent to a data analysis module after data processing;
matching production strategies for the production areas according to the multi-source data, distributing the production strategies to users, and carrying out agricultural production by the users according to the production strategies;
and monitoring the implementation of the production strategy in real time, and coordinating resources by combining problem feedback.
The working principle of the invention is as follows:
the data acquisition module is used for acquiring multi-source data, and the multi-source data is sent to the data analysis module after being processed.
And matching the production strategy for the production area according to the multi-source data, distributing the production strategy to users, and carrying out agricultural production by the users according to the production strategy.
And monitoring the implementation of the production strategy in real time, and coordinating resources by combining problem feedback.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. Accurate decision-making system of agricultural production planning based on multisource data includes data analysis module to and the data acquisition module and a plurality of intelligent terminal that are connected with it, its characterized in that:
multi-source data are collected through the data collection module, and are sent to the data analysis module after data processing; wherein the multi-source data comprises climate data, ecological data and image data;
the data analysis module matches a production strategy for a production area according to the multi-source data; wherein the production strategy comprises a planting strategy and a monitoring strategy; monitoring the implementation of the production strategy in real time, and coordinating resources according to the monitoring result; wherein the production strategy comprises production operations and corresponding operation deadlines;
and the user acquires the production strategy through the intelligent terminal and feeds back problems through the intelligent terminal.
2. The agricultural production planning precision decision making system based on multi-source data according to claim 1, characterized in that the data analysis module is in communication and/or electrical connection with the data acquisition module, a plurality of the intelligent terminals; the intelligent terminal comprises an intelligent mobile phone and a computer;
the data acquisition module acquires the multi-source data through an acquisition sensor; wherein, the acquisition sensor is arranged in a remote sensing satellite, an unmanned aerial vehicle or a farmland.
3. The agricultural production planning precision decision making system based on multi-source data according to claim 1, wherein the ecological monitoring of the production area based on the multi-source data before the data analysis module obtains the production strategy comprises:
acquiring a target area, dividing the target area according to geographic conditions, and acquiring a plurality of production areas;
and acquiring ecological data of the production area, and analyzing and evaluating the ecological environment of the production area by combining with the crop planting environment.
4. The multi-source data-based agricultural production planning precision decision-making system of claim 3, wherein the data analysis module generates the planting strategy for the production area based on the climate data, comprising:
obtaining alternative crops related to the production area;
screening the alternative crops according to the climate data to obtain target crops;
when the target crop is determined to be planted, determining a planting period by combining the area of the production area and the climate data;
integrating the target crop and the corresponding planting time limit to generate the planting strategy.
5. The agricultural production planning precision decision making system based on multi-source data of claim 4, wherein the data analysis module generates the monitoring strategy for the production area according to the image data, comprising:
acquiring a disaster state by recognizing the image data; wherein the disaster state comprises an insect pest state and a natural disaster state;
matching disposal measures and corresponding disposal duration for the production area according to the disaster state;
and integrating the treatment measures and the treatment duration to generate the monitoring strategy.
6. The agricultural production planning precision decision making system based on multi-source data according to claim 1, characterized in that a user receives the production strategy through the intelligent terminal and carries out production work according to the production strategy; and performing problem feedback through the intelligent terminal.
7. The agricultural production planning precision decision making system based on multi-source data according to claim 6, characterized in that the data analysis module performs resource coordination according to problem feedback and monitoring results of the production strategy implementation; wherein the resource coordination comprises human coordination, mechanical coordination and material coordination.
8. An agricultural production planning accurate decision method based on multi-source data, which is operated based on the agricultural production planning accurate decision system based on multi-source data of any one of claims 1 to 7, and is characterized by comprising the following steps:
multi-source data are acquired through a data acquisition module, and are sent to a data analysis module after data processing;
matching a production strategy for a production area according to the multi-source data, distributing the production strategy to users, and carrying out agricultural production by the users according to the production strategy;
and monitoring the implementation of the production strategy in real time, and coordinating resources by combining problem feedback.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116977111A (en) * | 2023-07-28 | 2023-10-31 | 山东科翔智能科技有限公司 | Corn planting decision management and control system based on intelligent AI agriculture |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116977111A (en) * | 2023-07-28 | 2023-10-31 | 山东科翔智能科技有限公司 | Corn planting decision management and control system based on intelligent AI agriculture |
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Application publication date: 20220628 |