CN113449917A - Agricultural accurate planting early warning management method and system - Google Patents
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Abstract
The invention provides an agricultural accurate planting early warning management method and system, and relates to the field of intelligent agricultural planting. The agricultural accurate planting early warning management method comprises the following steps: acquiring growth environment temperature data, real-time meteorological data and soil temperature and humidity data of an agricultural planting base, dividing the base and filing and managing the base; establishing a planting batch information file on each land, and setting a growth environment temperature data threshold, a real-time meteorological data threshold and a soil temperature and humidity data threshold for crops of each batch; and when the temperature data threshold value of the planting and growing environment, the real-time meteorological data threshold value and the soil temperature and humidity data threshold value set by the crops are not in the set values, early warning is sent out. The soil moisture digital prediction can be realized, the required irrigation quantity of different crops can be accurately controlled, and the irrigation early warning can be performed in advance according to the digital prediction. In addition, the invention also provides an agricultural accurate planting early warning management system, which comprises: the system comprises a data acquisition module, a filing module and an early warning module.
Description
Technical Field
The invention relates to the field of intelligent agricultural planting, in particular to an agricultural accurate planting early warning management method and system.
Background
Agriculture is the foundation of national economy, agricultural planting data resources are common wealth of human society, and data sharing is important driving force for rapid development of modern science. However, the agricultural planting data early warning, especially the agricultural planting data early warning, still has some inevitable defects in China.
In the crop planting process, the temperature, humidity and meteorological conditions of soil, particularly the temperature and humidity conditions, need to be strictly mastered, the influence on crop planting is particularly large, and if the temperature and humidity conditions are not appropriate, the problems of small crop pieces, death and the like can be caused, so that the crop quality is reduced, the land benefit is reduced, the income level of farmers cannot be improved, and even the income is smaller than the input.
In the prior art, temperature and humidity monitoring of crop planting soil is generally carried out by farmers according to experience judgment or information such as weather forecast to grasp the temperature and the humidity of the soil, the method is very unscientific in judging the temperature and the humidity information in a greenhouse, real-time and scientific monitoring of the temperature, the humidity and the climate conditions of crop growth cannot be realized, crop planting management cannot be refined, management is extensive, the method is backward, the reduction of crop quality is inevitably caused, and the purpose of increasing income cannot be realized for the farmers.
Disclosure of Invention
The invention aims to provide an agricultural accurate planting early warning management method which can realize digital prediction of soil moisture, accurately control irrigation quantity required by different crops, perform irrigation early warning in advance according to the digital prediction, supplement irrigation as required, promote healthy growth of planted crops and provide theoretical reference for water-saving irrigation of crops.
Another object of the present invention is to provide an agricultural precise planting early warning management system, which can operate an agricultural precise planting early warning management method.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the application provides an agricultural accurate planting early warning management method, which includes acquiring growth environment temperature data, real-time meteorological data and soil temperature and humidity data of an agricultural planting base, dividing the base and performing archive management; establishing a planting batch information file on each land, and setting a growth environment temperature data threshold, a real-time meteorological data threshold and a soil temperature and humidity data threshold for crops of each batch; and when the temperature data threshold value of the planting and growing environment, the real-time meteorological data threshold value and the soil temperature and humidity data threshold value set by the crops are not in the set values, early warning is sent out.
In some embodiments of the present invention, the obtaining growth environment temperature data, real-time meteorological data and soil temperature and humidity data of the agricultural planting base, and the dividing and filing management of the base include: the monitoring center acquires growth environment temperature data, real-time meteorological data and soil temperature and humidity data of the base through Internet of things monitoring equipment which is associated with the site where the monitoring center is located.
In some embodiments of the present invention, the above further includes: the method comprises the steps of generating traceable data in real time according to growth environment temperature data, real-time meteorological data, soil temperature and humidity data of crops and collected pesticide residue detection data of the crops collected through the Internet of things monitoring equipment, and providing query requirements.
In some embodiments of the present invention, the creating of the planting lot information file on each land, and the setting of the growth environment temperature data threshold, the real-time meteorological data threshold, and the soil temperature and humidity data threshold for each lot of crops includes: and establishing a planting batch information file on each land, and establishing association between the land and the position of the monitoring equipment of the Internet of things.
In some embodiments of the present invention, the above further includes: and establishing a crop manager information file, and associating the crop planting batch information file with the crop manager information file.
In some embodiments of the present invention, when the temperature data threshold of the planting and growing environment, the real-time meteorological data threshold, and the soil humiture data threshold are not set in the crop, the sending the early warning includes: through short message early warning, the monitoring center automatically sends warning information to a mobile phone reserved in the crop manager information file in a short message mode; through telephone early warning, the monitoring center automatically dials the mobile phone number reserved in the crop manager information file, and automatically broadcasts early warning information through voice in an artificial intelligence mode.
In some embodiments of the present invention, the above further includes: and when the early warning is sent out, an emergency mechanism is started, the crop is adjusted to be in the planting and growing environment temperature data threshold, the real-time meteorological data threshold and the soil humiture data threshold, and the early warning is released.
In a second aspect, an embodiment of the application provides an agricultural accurate planting early warning management system, which includes a data acquisition module, configured to acquire growth environment temperature data, real-time meteorological data, and soil temperature and humidity data of an agricultural planting base, divide the base, and perform filing management;
the profiling module is used for establishing planting batch information files on each land, and setting a growth environment temperature data threshold, a real-time meteorological data threshold and a soil temperature and humidity data threshold for crops of each batch;
and the early warning module is used for sending out early warning when the temperature data threshold value of the planting and growing environment, the real-time meteorological data threshold value and the soil temperature and humidity data threshold value which are not set for the crops are included.
In some embodiments of the invention, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the system comprises a data acquisition module, a filing module and an early warning module.
In a third aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements a method such as any one of agricultural precision planting warning management methods.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the method can realize digital prediction of soil moisture, accurately control the irrigation quantity required by different crops, perform irrigation early warning in advance according to the digital prediction, supplement irrigation as required, promote the healthy growth of planted crops, and provide theoretical reference for water-saving irrigation of crops. The monitoring center is used for setting thresholds of crops for the requirements of soil water content and thresholds for bearing temperature in all periods of crop breeding, transplanting, topdressing, weeding, picking and the like, monitoring the conditions of soil water content and temperature in crop planting, triggering alarm when the conditions exceed the thresholds, and informing operating personnel in a short message or telephone form, so that the automatic monitoring of the temperature and humidity conditions of the crop growing environment is realized, the agricultural planting management is more scientific, efficient and fine, and the quality benefit of the planting management is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram illustrating steps of an agricultural accurate planting early warning management method according to an embodiment of the present invention;
fig. 2 is a detailed step schematic diagram of an agricultural accurate planting early warning management method provided by an embodiment of the invention;
fig. 3 is a schematic diagram of a module of an agricultural accurate planting early warning management system according to an embodiment of the present invention;
fig. 4 is an electronic device according to an embodiment of the present invention.
Icon: 10-a data acquisition module; 20-filing module; 30-an early warning module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is to be noted that the term "comprises," "comprising," or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram illustrating steps of an agricultural accurate planting early warning management method according to an embodiment of the present invention, which is shown as follows:
step S100, acquiring growth environment temperature data, real-time meteorological data and soil temperature and humidity data of an agricultural planting base, dividing the base and performing archive management;
in some embodiments, the crop growth environment temperature data and the real-time meteorological data in the seedling raising shed for planting crops are transmitted to a monitoring center, or the crop growth environment temperature data, the soil temperature and humidity data and the real-time meteorological data in a planting field base for planting crops are transmitted to the monitoring center, the base is divided into a plurality of plots, and each plot is built.
In some embodiments, for example, each parcel is numbered, and its number and geographic location are documented to facilitate traceability. Installing an Internet of things monitoring device on each land, and establishing association between the Internet of things monitoring device and the land; the positions of the monitoring equipment of the Internet of things are associated with the plots where the monitoring equipment of the Internet of things is located, so that planting data of crops on the corresponding plots, such as environment data and soil data, can be correspondingly collected. And if the data are detected to be abnormal, human intervention is timely carried out. For example, if the monitored soil humidity is insufficient, watering is carried out in time, accurate management is realized, and the yield of crops is improved.
Step S110, establishing planting batch information files on each land, and setting a growth environment temperature data threshold, a real-time meteorological data threshold and a soil temperature and humidity data threshold for crops of each batch;
in some embodiments, a planting lot information file is established on each plot, and production cycle definition and planning are performed on each lot of crops; inputting the farming activities in each production period; inputting or butting pesticide residue detection data issued by a third-party detection mechanism; and generating traceable data in real time by using the collected meteorological environment data, soil data, farming activity data and collected pesticide residue detection data of the crops, and providing query requirements.
And step S120, when the temperature data threshold value of the planting and growing environment, the real-time meteorological data threshold value and the soil temperature and humidity data threshold value which are set by the crops are not included, early warning is sent out.
In some embodiments, a monitoring center sets a growth environment temperature threshold value in a crop seedling raising shed for crop planting, or sets a growth environment temperature threshold value in a base for crop planting and a soil temperature and humidity threshold value; judging whether the temperature value in a crop seedling raising shed planted by the current crops is within a set threshold value or not, or whether the temperature value of the growing environment in a crop planting base and the temperature and humidity value of soil are within the set threshold value or not; if not, the monitoring center provides early warning for the user side, records and analyzes the influence of the temperature value in the crop seedling raising shed planted by the current crops on the crops, or the influence of the temperature value of the growing environment in the crop planting base and the temperature value of the soil temperature on the crop planting; the user side starts an emergency mechanism, and when the temperature value in the crop seedling shed planted by crops or the temperature value of the growing environment in the base planted by the crops and the temperature and humidity value of soil reach the set threshold value, the alarm is released.
Example 2
Referring to fig. 2, fig. 2 is a detailed step diagram of an agricultural accurate planting early warning management method according to an embodiment of the present invention, which is shown as follows:
and S200, the monitoring center acquires growth environment temperature data, real-time meteorological data and soil temperature and humidity data of the base through the Internet of things monitoring equipment which is associated with the site where the monitoring center is located.
Step S210, generating traceable data in real time according to the growth environment temperature data, the real-time meteorological data and the soil humiture data of the crops and the collected pesticide residue detection data acquired by the Internet of things monitoring equipment, and providing query requirements.
Step S220, establishing a planting batch information file on each land, and establishing association between the land and the position of the monitoring equipment of the Internet of things.
Step S230, a crop manager information file is established, and the crop planting batch information file is associated with the crop manager information file.
Step S240, by means of short message early warning, the monitoring center automatically sends the warning information to a mobile phone reserved in the crop manager information file in a short message mode;
and step S250, the monitoring center automatically dials a mobile phone number reserved in the crop manager information file through telephone early warning, and automatically broadcasts early warning information in a voice mode in an artificial intelligence mode.
And step S260, after the early warning is sent out, an emergency mechanism is started, the crop is adjusted to be in the planting and growing environment temperature data threshold, the real-time meteorological data threshold and the soil humiture data threshold, and the early warning is relieved.
In some embodiments, the environmental temperature value, the soil temperature and humidity value monitored in the tobacco field for planting the crops are lower than the set environmental temperature value threshold value and the soil temperature and humidity value; the user side receives the alarm information and performs tobacco field temperature treatment and soil temperature and humidity treatment of crop planting in a manual mode;
and when the temperature value information reaches the set temperature value threshold, the monitoring center sends out alarm canceling information to the user side. The moisture content and the temperature and humidity threshold value in the crop seedling raising shed can be set by a user, the flexibility is high, the setting of the soil moisture content and the temperature and humidity threshold value is highly matched with the crop planting period and the crop growth rule, and the actual rule and the requirement of crop growth are met; the alarm information sent by the monitoring center can inform the user through short messages and telephones, and is real-time and efficient.
Example 3
Referring to fig. 3, fig. 3 is a schematic diagram of an agricultural accurate planting early warning management system module according to an embodiment of the present invention, which is shown as follows:
the data acquisition module 10 is used for acquiring growth environment temperature data, real-time meteorological data and soil temperature and humidity data of an agricultural planting base, dividing the base and performing archive management;
the profiling module 20 is used for establishing planting batch information files on each land, and setting a growth environment temperature data threshold, a real-time meteorological data threshold and a soil temperature and humidity data threshold for each batch of crops;
and the early warning module 30 is used for sending out early warning when the temperature data threshold value of the planting and growing environment, the real-time meteorological data threshold value and the soil temperature and humidity data threshold value which are not set for the crops are included.
As shown in fig. 4, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system and method can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, the agricultural accurate planting early warning management method and system provided by the embodiment of the application can realize digital prediction of soil moisture, accurately control irrigation quantity required by different crops, perform irrigation early warning in advance according to the digital prediction, supplement irrigation as required, promote healthy growth of planted crops, and provide theoretical reference for water-saving irrigation of crops. The monitoring center is used for setting thresholds of crops for the requirements of soil water content and thresholds for bearing temperature in all periods of crop breeding, transplanting, topdressing, weeding, picking and the like, monitoring the conditions of soil water content and temperature in crop planting, triggering alarm when the conditions exceed the thresholds, and informing operating personnel in a short message or telephone form, so that the automatic monitoring of the temperature and humidity conditions of the crop growing environment is realized, the agricultural planting management is more scientific, efficient and fine, and the quality benefit of the planting management is improved.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An agricultural accurate planting early warning management method is characterized by comprising the following steps:
acquiring growth environment temperature data, real-time meteorological data and soil temperature and humidity data of an agricultural planting base, dividing the base and filing and managing the base;
establishing a planting batch information file on each land, and setting a growth environment temperature data threshold, a real-time meteorological data threshold and a soil temperature and humidity data threshold for crops of each batch;
and when the temperature data threshold value of the planting and growing environment, the real-time meteorological data threshold value and the soil temperature and humidity data threshold value set by the crops are not in the set values, early warning is sent out.
2. The agricultural accurate planting early warning management method according to claim 1, wherein the obtaining growth environment temperature data, real-time meteorological data and soil temperature and humidity data of an agricultural planting base, and the dividing and filing management of the base comprises:
the monitoring center acquires growth environment temperature data, real-time meteorological data and soil temperature and humidity data of the base through Internet of things monitoring equipment which is associated with the site where the monitoring center is located.
3. The agricultural accurate planting early warning management method of claim 2, further comprising:
the method comprises the steps of generating traceable data in real time according to growth environment temperature data, real-time meteorological data, soil temperature and humidity data of crops and collected pesticide residue detection data of the crops collected through the Internet of things monitoring equipment, and providing query requirements.
4. The agricultural precise planting early warning management method according to claim 1, wherein the establishing of the planting batch information file on each land, and the setting of the growing environment temperature data threshold, the real-time meteorological data threshold and the soil temperature and humidity data threshold for each batch of crops comprises:
and establishing a planting batch information file on each land, and establishing association between the land and the position of the monitoring equipment of the Internet of things.
5. The agricultural accurate planting early warning management method of claim 4, further comprising:
and establishing a crop manager information file, and associating the crop planting batch information file with the crop manager information file.
6. The agricultural precise planting early warning management method according to claim 1, wherein when the temperature data threshold value of the planting and growing environment, the real-time meteorological data threshold value and the soil temperature and humidity data threshold value set by the crops are not included, the sending out early warning comprises the following steps:
through short message early warning, the monitoring center automatically sends warning information to a mobile phone reserved in the crop manager information file in a short message mode;
through telephone early warning, the monitoring center automatically dials the mobile phone number reserved in the crop manager information file, and automatically broadcasts early warning information through voice in an artificial intelligence mode.
7. The agricultural accurate planting early warning management method of claim 6, further comprising:
and when the early warning is sent out, an emergency mechanism is started, the crop is adjusted to be in the planting and growing environment temperature data threshold, the real-time meteorological data threshold and the soil humiture data threshold, and the early warning is released.
8. The utility model provides an accurate planting early warning management system of agricultural, its characterized in that includes:
the data acquisition module is used for acquiring growth environment temperature data, real-time meteorological data and soil temperature and humidity data of the agricultural planting base, dividing the base and performing archive management;
the profiling module is used for establishing planting batch information files on each land, and setting a growth environment temperature data threshold, a real-time meteorological data threshold and a soil temperature and humidity data threshold for crops of each batch;
and the early warning module is used for sending out early warning when the temperature data threshold value of the planting and growing environment, the real-time meteorological data threshold value and the soil temperature and humidity data threshold value which are not set for the crops are included.
9. The agricultural precision planting early warning management system of claim 8, comprising:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the system comprises a data acquisition module, a filing module and an early warning module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114879585A (en) * | 2022-07-11 | 2022-08-09 | 黑龙江省农业科学院黑河分院 | Intelligent monitoring system for accurate agriculture-oriented networked low-temperature soybean breeding |
| CN116258238A (en) * | 2022-12-07 | 2023-06-13 | 嘉应学院 | Crop management system based on Internet of things |
| CN117114374A (en) * | 2023-10-25 | 2023-11-24 | 四川省商投信息技术有限责任公司 | Intelligent agricultural irrigation management system based on weather prediction |
| CN117315915A (en) * | 2023-11-30 | 2023-12-29 | 山东科翔智能科技有限公司 | Crop planting supervision system based on remote sensing data monitoring |
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