CN114529091A - Crop yield prediction system fusing meteorological data - Google Patents

Crop yield prediction system fusing meteorological data Download PDF

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CN114529091A
CN114529091A CN202210161403.9A CN202210161403A CN114529091A CN 114529091 A CN114529091 A CN 114529091A CN 202210161403 A CN202210161403 A CN 202210161403A CN 114529091 A CN114529091 A CN 114529091A
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牛鲁燕
侯学会
苏栋
王猛
王凯旋
王瑞琳
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Shandong Academy of Agricultural Sciences
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Abstract

The invention provides a crop yield prediction system fusing meteorological data, which comprises a front-end application layer, a rear-end data layer and a rear-end management layer, wherein the output end of the front-end application layer is connected with the input end of the rear-end application layer, the front-end application layer comprises a user login module, a WEB operation platform and a simulation prediction module, the output end of the rear-end application layer is connected with the input end of the rear-end data layer, the rear-end application layer comprises a front-end access module, a data operation module, a meteorological single-yield model construction module and a prediction result output module, the output end of the rear-end data layer is connected with the input end of the rear-end management layer, the rear-end data layer comprises an information database, a shared database and a chart generation module, the crop yield prediction system fusing meteorological data combines the meteorological data with the historical single-yield data of crops, and has different climatic data and single-yield data for different regions, and then can adapt to the crop yield prediction of different regions.

Description

Crop yield prediction system fusing meteorological data
Technical Field
The invention relates to the technical field of crop yield prediction, in particular to a crop yield prediction system fusing meteorological data.
Background
Crops are also called crops, and are various plants cultivated in agriculture, including grain crops and economic crops (oil crops, vegetable crops, flowers, grasses and trees), wherein people take food as days to express the relationship between people and food, and the health of people can be brought by reasonable food collocation;
in agricultural production, the prediction of crop yield has strong practical significance. The method has the advantages that the method can predict the crop yield, is favorable for farmers to adjust the crop planting area in time according to price change, improves the income of the farmers, and can enlarge or reduce the crop planting area in time according to the crop export condition;
however, the growth, development and yield formation processes of crops are very complex, are influenced by natural factors such as climate and the like and human factors, and the change of the grain yield in the regional scale is also comprehensively influenced by social and economic factors such as policy, market and the like, so that great difficulty is brought to the prediction of the crop yield, wherein the climate has close relation with the growth, development and yield of the crops;
according to the theory of agricultural development and regional agricultural characteristics, the increase of the total crop yield is changed from the past that the increase of the total crop yield is maintained by increasing the arable area to the intensive growth taking the increase of the yield per unit area (yield) of the crop as a main means, the yield per unit crop is the most important growth source of the total crop quantity in the future, so the yield per unit crop data is a scale for measuring the agricultural production level and is also the basis for formulating agricultural policies and corresponding agricultural measures, however, the conventional crop yield prediction system can only be calibrated aiming at specific application regions and is difficult to be applied to other regions, and therefore, the invention provides a crop yield prediction system fusing meteorological data to solve the problems existing in the prior art.
Disclosure of Invention
In view of the above problems, the present invention provides a crop yield prediction system with integrated meteorological data, which combines meteorological data with historical unit yield data of crops, and can adapt to the prediction of crop yield in different regions according to different climatic data and unit yield data in different regions, so as to solve the problem that the crop yield prediction system in the prior art is difficult to adapt to other regions.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: a crop yield prediction system fusing meteorological data comprises a front-end application layer, a rear-end data layer and a rear-end management layer, wherein the output end of the front-end application layer is connected with the input end of the rear-end application layer, the front-end application layer comprises a user login module, a WEB operation platform and a simulation prediction module, the output end of the back-end application layer is connected with the input end of the back-end data layer, and the back-end application layer comprises a front-end access module, a data operation module, a meteorological single-production model construction module and a prediction result output module, the output end of the back-end data layer is connected with the input end of the back-end management layer, and the back-end data layer comprises an information database, a shared database and a chart generation module, the output end of the back-end data layer is connected with the input end of the back-end management layer, the back-end management layer comprises a user management module, a system management module and a data management module.
The further improvement is that: the data operation module comprises a data acquisition subunit, a data processing subunit and a data fusion subunit, wherein the data acquisition subunit is connected with an external network through a wireless communication module and acquires required data, the input end of the data processing subunit is connected with the output end of the data acquisition subunit and is used for processing the acquired data, and the input end of the data fusion subunit is connected with the output end of the data processing subunit and is used for fusing the processed data.
The further improvement lies in that: the front-end application layer further comprises a data query module and a data updating module, the input ends of the data query module and the data updating module are connected with the output end of the WEB operation platform, the data query module is used for querying crop unit production data and regional climate data, the output end of the data updating module is connected with the input end of the data operation module and used for controlling the data operation module to acquire data, and the output end of the data operation module is connected with the input end of the meteorological unit production model building module.
The further improvement lies in that: the back-end application layer also comprises a parameter setting module, wherein the output end of the parameter setting module is connected with the input end of the data operation module, and the input end of the parameter setting module is connected with the output end of the front-end access module.
The further improvement lies in that: the rear-end application layer also comprises a region positioning module, wherein the output end of the region positioning module is connected with the input end of the parameter setting module, and the input end of the region positioning module is connected with the output end of the front-end access module.
The further improvement lies in that: the output end of the information database is connected with the input end of the chart generation module, the output end of the chart generation module is connected with the input end of the WEB operation platform, the input end of the information database is connected with the output ends of the user management module and the data management module, and a plurality of groups of partitions are arranged in the information database.
The further improvement lies in that: the input end of the WEB operation platform is connected with the output end of the shared database, a data communication subunit is arranged in the WEB operation platform, and the data communication subunit is connected with an external network through a wireless communication network.
The further improvement lies in that: the simulation prediction module is internally provided with a data input unit, a data access unit and a data output unit, the input end of the data input unit is connected with the output end of the WEB operation platform, the output end of the data input unit is connected with the input end of the data access unit, the output end of the data access unit is connected with the input end of the meteorological unit production model building module, the output end of the meteorological unit production model building module is connected with the input end of the data output unit, and the output end of the data output unit is connected with the input end of the WEB operation platform.
The further improvement lies in that: the obtained data are historical climate data of the current planting area, current climate data, future climate prediction data, crop type of the current planting area and historical yield data of the crop.
The invention has the beneficial effects that: this kind of crop output prediction system who fuses meteorological data combines meteorological data and crop history unit production data through adopting, there are different climatic data and unit production data to different areas, then can adapt to the crop output prediction in different areas, and adopt and influence great climatic data to crop growth, need not complicated parameter extraction and design, avoid the increase of parameter to lead to the condition that model precision and suitability reduce, can also be through the cooperation of the user login module that sets up and information database, the convenience is provided with different subregion to different users, store corresponding data, when the user carries out next prediction, data before can directly mobilizing uses.
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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, and 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 these drawings without creative efforts.
Fig. 1 is a schematic system structure according to a first embodiment of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Example one
As shown in fig. 1, this embodiment provides a crop yield prediction system fusing meteorological data, which includes a front-end application layer, a back-end data layer and a back-end management layer, wherein an output end of the front-end application layer is connected to an input end of the back-end application layer, the front-end application layer includes a user login module, a WEB operation platform and a simulation prediction module, an output end of the back-end application layer is connected to an input end of the back-end data layer, the back-end application layer includes a front-end access module, a data operation module, a meteorological production model building module and a prediction result output module, an output end of the back-end data layer is connected to an input end of the back-end management layer, the back-end data layer includes an information database, a sharing database and a graph generation module, an output end of the back-end data layer is connected to an input end of the back-end management layer, and the back-end management layer includes a user management module, The system comprises a system management module and a data management module, wherein a front-end application layer, a rear-end data layer and a rear-end management layer are basic composition frameworks of the system, meteorological data and historical production per unit data of a crop area are obtained through a data operation module and are processed, the processed data are input into a meteorological production per unit model building module for model building, and the crop yield can be predicted through the built model and newly input data for calculation.
The data operation module comprises a data acquisition subunit, a data processing subunit and a data fusion subunit, the data acquisition subunit is connected with an external network through the wireless communication module and acquires required data, the input end of the data processing subunit is connected with the output end of the data acquisition subunit and is used for processing the acquired data, and the input end of the data fusion subunit is connected with the output end of the data processing subunit and is used for fusing the processed data.
The front-end application layer further comprises a data query module and a data updating module, the input ends of the data query module and the data updating module are connected with the output end of the WEB operation platform, the data query module is used for querying crop unit production data and regional climate data, the output end of the data updating module is connected with the input end of the data operation module and is used for controlling the data operation module to acquire data, and the output end of the data operation module is connected with the input end of the meteorological unit production model building module.
The back-end application layer also comprises a parameter setting module, the output end of the parameter setting module is connected with the input end of the data operation module, the input end of the parameter setting module is connected with the output end of the front-end access module, the input end of the front-end access module is connected with the output end of the user login module, the user firstly logs in the front-end application layer, the front-end application layer is used for facing to a common user, the front-end access module enables the user to access into the back-end application layer, the front-end access module is used for facing to a senior user, and therefore the situation that the system processing is slow due to the fact that the common user is too large in quantity is avoided, the senior user needs to apply for the application, and the mode is common in the prior art.
The rear-end application layer also comprises a region positioning module, the output end of the region positioning module is connected with the input end of the parameter setting module, the input end of the region positioning module is connected with the output end of the front-end access module, and the region positioning module is mainly used for positioning the region input by the user and determining the coordinates of the region, so that subsequent meteorological data can be conveniently acquired.
The output end of the information database is connected with the input end of the chart generation module, the output end of the chart generation module is connected with the input end of the WEB operation platform, the input end of the information database is connected with the output ends of the user management module and the data management module, and a plurality of groups of partitions are arranged in the information database.
The input end of the WEB operation platform is connected with the output end of the shared database, a data communication subunit is arranged in the WEB operation platform, and the data communication subunit is connected with an external network through a wireless communication network.
The simulation prediction module is internally provided with a data input unit, a data access unit and a data output unit, the input end of the data input unit is connected with the output end of the WEB operation platform, the output end of the data input unit is connected with the input end of the data access unit, the output end of the data access unit is connected with the input end of the meteorological unit production model building module, the output end of the meteorological unit production model building module is connected with the input end of the data output unit, and the output end of the data output unit is connected with the input end of the WEB operation platform.
The obtained data are historical climate data of the current planting area, current climate data, future climate prediction data, crop type of the current planting area and historical yield data of the crop.
Example two
The embodiment provides a method of a crop yield prediction system fusing meteorological data, which comprises the following steps:
the method comprises the following steps: a user logs in through a login module, enters a WEB operation platform after logging in, and then performs secondary login through a front access module, so that the user accesses a rear application layer, and sets parameters and regions through a parameter setting module and a region positioning module, and the region positioning module positions according to the region input by the user to determine the coordinates of the region;
step two: the data operation module acquires data on an external network through a wireless communication network according to the parameters and the regions set in the first step, the data comprise climate data of the corresponding regions and crop types and historical yield data of the corresponding regions, the acquired data are processed through the data processing subunit, namely, the data are filtered and extracted, the required data are acquired, the data are rainfall (rainfall), illumination and heat (temperature), and then are fused through the data fusion subunit to obtain a ratio factor, and the expression of the ratio factor is as follows:
Figure BDA0003514872490000081
step three: conveying the ratio factor obtained in the step two into a meteorological unit production model construction modeling block for model construction, thereby constructing the relation between the ratio factor and the unit production data, wherein the model is constructed by adopting historical climate data and historical unit production data;
step four: and acquiring future climate data of the current area through a data operation module, processing the future climate data to obtain another ratio factor, inputting the ratio factor into the model constructed in the third step, and obtaining a result which is a predicted result.
Wherein, for the ratio factor, the smaller the ratio, the larger the rainfall, the less the illumination, the relatively lower the temperature, because of the low illumination and the lower temperature, the probability of causing the crop to reduce yield is relatively increased, whereas, the larger the ratio, the smaller the rainfall, the longer the illumination, the relatively higher the temperature, the probability of causing the crop to increase yield is relatively increased.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (9)

1. A crop yield prediction system fusing meteorological data is characterized in that: the system comprises a front-end application layer, a rear-end data layer and a rear-end management layer, wherein the output end of the front-end application layer is connected with the input end of the rear-end application layer, the front-end application layer comprises a user login module, a WEB operation platform and a simulation prediction module, the output end of the rear-end application layer is connected with the input end of the rear-end data layer, the rear-end application layer comprises a front-end access module, a data operation module, a meteorological single-product model building module and a prediction result output module, the output end of the rear-end data layer is connected with the input end of the rear-end management layer, the rear-end data layer comprises an information database, a shared database and a chart generation module, the output end of the rear-end data layer is connected with the input end of the rear-end management layer, and the rear-end management layer comprises a user management module, a system management module and a data management module.
2. The weather-data-fused crop yield prediction system of claim 1, wherein: the data operation module comprises a data acquisition subunit, a data processing subunit and a data fusion subunit, wherein the data acquisition subunit is connected with an external network through a wireless communication module and acquires data, the input end of the data processing subunit is connected with the output end of the data acquisition subunit and is used for processing the acquired data, and the input end of the data fusion subunit is connected with the output end of the data processing subunit and is used for fusing the processed data.
3. The weather-data-fused crop yield prediction system of claim 1, wherein: the front-end application layer further comprises a data query module and a data updating module, the input ends of the data query module and the data updating module are connected with the output end of the WEB operation platform, the data query module is used for querying crop unit production data and regional climate data, the output end of the data updating module is connected with the input end of the data operation module and used for controlling the data operation module to acquire data, and the output end of the data operation module is connected with the input end of the meteorological unit production model building module.
4. The weather-data-fused crop yield prediction system of claim 1, wherein: the back-end application layer also comprises a parameter setting module, wherein the output end of the parameter setting module is connected with the input end of the data operation module, and the input end of the parameter setting module is connected with the output end of the front-end access module.
5. The weather-data-fused crop yield prediction system of claim 1, wherein: the rear-end application layer also comprises a region positioning module, wherein the output end of the region positioning module is connected with the input end of the parameter setting module, and the input end of the region positioning module is connected with the output end of the front-end access module.
6. The weather-data-fused crop yield prediction system of claim 1, wherein: the output end of the information database is connected with the input end of the chart generation module, the output end of the chart generation module is connected with the input end of the WEB operation platform, the input end of the information database is connected with the output ends of the user management module and the data management module, and a plurality of groups of partitions are arranged in the information database.
7. The weather-data-fused crop yield prediction system of claim 1, wherein: the input end of the WEB operation platform is connected with the output end of the shared database, a data communication subunit is arranged in the WEB operation platform, and the data communication subunit is connected with an external network through a wireless communication network.
8. The weather-data-fused crop yield prediction system of claim 1, wherein: the simulation prediction module is internally provided with a data input unit, a data access unit and a data output unit, the input end of the data input unit is connected with the output end of the WEB operation platform, the output end of the data input unit is connected with the input end of the data access unit, the output end of the data access unit is connected with the input end of the meteorological unit production model building module, the output end of the meteorological unit production model building module is connected with the input end of the data output unit, and the output end of the data output unit is connected with the input end of the WEB operation platform.
9. The weather data fused crop yield prediction system of claim 2, wherein: the obtained data are historical climate data of the current planting area, current climate data, future climate prediction data, crop type of the current planting area and historical yield data of the crop.
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