Farmland monitoring method, device and equipment and storage medium

Abstract

The invention discloses a farmland monitoring method and device, equipment and a storage medium. The method comprises the following steps: in response to a farmland monitoring analysis request, querying a monitoring analysis model corresponding to the farmland monitoring analysis request; inputting monitoring data in the farmland monitoring analysis request into the monitoring analysis model to enable the monitoring analysis model to output an analysis result; and sending the analysis result to a monitoring device or a mobile terminal. The farmland monitoring method, the farmland monitoring device, the farmland monitoring equipment and the storage medium have the beneficial effects that the farmland monitoring method, the farmland monitoring equipment and the storage medium comprehensively process the data based on the artificial intelligence model of the cloud.

Description

Technical Field

[0001] The present application relates to the field of agricultural monitoring technology, and specifically, to a farmland monitoring method, device, equipment and storage medium. Background Art

[0002] With the rapid development of modern agriculture, the application of precision agriculture technology is becoming more and more extensive. Green manure crops, as an important organic fertilizer, can not only improve soil structure, but also increase soil nutrients. The traditional green manure crop growth monitoring method only uses simple judgment and analysis based on thresholds, which has poor reference value and is difficult to meet the needs of modern agricultural production. Summary of the invention

[0003] The content of this application is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this application is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0004] Some embodiments of the present application propose farmland monitoring methods, devices, equipment and storage media to solve the technical problems mentioned in the above background technology section.

[0005] As a first aspect of the present application, some embodiments of the present application provide a farmland monitoring method, including: in response to a farmland monitoring and analysis request, querying a monitoring and analysis model corresponding to the farmland monitoring and analysis request; inputting the monitoring data in the farmland monitoring and analysis request into the monitoring and analysis model so that the monitoring and analysis model outputs an analysis result; and sending the analysis result to a monitoring device or a mobile terminal.

[0006] Furthermore, the monitoring data includes: gas environment data; wherein the gas environment data includes methane concentration and carbon dioxide concentration.

[0007] Furthermore, the monitoring data also includes growth information data; wherein the growth information data includes plant height, leaf area index and chlorophyll content.

[0008] Furthermore, the monitoring and analysis module includes: a prediction and analysis model; wherein the analysis result of the prediction and analysis model is the prediction data of the monitoring data.

[0009] Furthermore, the monitoring and analysis module includes: a matching analysis model; wherein the analysis result of the matching analysis model is a judgment result of whether the monitoring data is normal.

[0010] Furthermore, the predictive analysis model is an HMM model.

[0011] Furthermore, the matching analysis module is a convolutional neural network model.

[0012] As the second aspect of the present application, some embodiments of the present application also provide a farmland monitoring device, specifically including: a query module, used to respond to a farmland monitoring and analysis request, and query a monitoring and analysis model corresponding to the farmland monitoring and analysis request; an analysis module, used to input the monitoring data in the farmland monitoring and analysis request into the monitoring and analysis model so that the monitoring and analysis model outputs an analysis result; and a sending module, used to send the analysis result to a monitoring device or a mobile terminal.

[0013] As the third aspect of the present application, some embodiments of the present application provide an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation manner of the above-mentioned first aspect.

[0014] As a fourth aspect of the present application, some embodiments of the present application provide a computer-readable medium on which a computer program is stored, wherein when the program is executed by a processor, the method described in any implementation of the above-mentioned first aspect is implemented.

[0015] The beneficial effects of the present application are: providing a farmland monitoring method, device, equipment and storage medium for comprehensive data processing based on a cloud-based artificial intelligence model. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting a part of this application are used to provide a further understanding of this application, so that other features, purposes and advantages of this application become more obvious. The illustrative embodiment drawings and their descriptions of this application are used to explain this application and do not constitute an improper limitation on this application.

[0017] In addition, throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that the components and elements are not necessarily drawn to scale.

[0018] In the attached picture: Figure 1 is a schematic diagram of the main steps of a farmland monitoring method according to an embodiment of the present application; Figure 2 is a structural schematic diagram of a farmland monitoring device according to an embodiment of the present application; Figure 3 is a module schematic diagram of a monitoring terminal according to an embodiment of the present application; Figure 4 It is a structural schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0019] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0020] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0021] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0022] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0023] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0024] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0025] Reference Figure 1 As shown, the farmland monitoring method of the present application includes the following steps: S101: In response to a farmland monitoring and analysis request, query a monitoring and analysis model corresponding to the farmland monitoring and analysis request.

[0026] S102: Input the monitoring data in the farmland monitoring and analysis request into the monitoring and analysis model so that the monitoring and analysis model outputs the analysis results.

[0027] S103: Send the analysis result to the monitoring device or mobile terminal.

[0028] Specifically, the monitoring data includes: gas environment data; gas environment data includes methane concentration and carbon dioxide concentration. The monitoring data also includes: growth information data; growth information data includes: plant height, leaf area index and chlorophyll content.

[0029] More specifically, the monitoring and analysis module includes: a prediction analysis model, wherein the analysis result of the prediction analysis model is the prediction data of the monitoring data, wherein the prediction analysis model is an HMM model.

[0030] More specifically, the monitoring and analysis module includes: a matching analysis model, wherein the analysis result of the matching analysis model is a judgment result of whether the monitoring data is normal. The matching analysis module is a convolutional neural network model.

[0031] By adopting the above solution, data from multiple monitoring terminals can be uploaded to the cloud, and then more accurate analysis results can be provided through analysis in the cloud, thereby providing better scientific data support for agricultural production, optimizing farmland management plans, and improving crop yields and quality.

[0032] Reference Figure 2 As shown, the farmland monitoring device of the present application includes: a query module, used to respond to a farmland monitoring and analysis request, and query the monitoring and analysis model corresponding to the farmland monitoring and analysis request; an analysis module, used to input the monitoring data in the farmland monitoring and analysis request into the monitoring and analysis model so that the monitoring and analysis model outputs an analysis result; and a sending module, used to send the analysis result to the monitoring device or mobile terminal.

[0033] Reference Figure 3 As shown, the monitoring terminal 100 of the present application includes: a detection module 101, a data acquisition module 102, a data processing module 103, a display module 104, etc.

[0034] Specifically, the detection module 101 is used to detect methane and carbon dioxide in southern rice fields; the data acquisition module 102 is used to collect the detection data of the detection module 101; the data processing module 103 is used to process the detection data of the detection module 101; and the display module 104 is used to display the detection data of the detection module 101 or the processing results of the data processing module 103.

[0035] Among them, the detection module 101 is used to detect the required monitoring data; the data acquisition module 102 is used to collect the detection data of the detection module 101; the data processing module 103 is used to process the detection data of the detection module 101; and the display module 104 is used to display the detection data of the detection module 101 or the processing results of the data processing module 103.

[0036] The detection module 101 , the data acquisition module 102 , the data processing module 103 , and the display module 104 may be implemented in the form of a single chip microcomputer or a single chip microcomputer combined with peripheral circuits.

[0037] For those skilled in the art, the functional implementation of the detection module 101, the data acquisition module 102, the data processing module 103, the display module 104, etc. and the selection of specific hardware are all technical solutions well known to those skilled in the art, and are not described in detail here. In addition, solving the technical problem of the present application does not rely on the software algorithms of these modules, but on the connection relationship of these modules.

[0038] Reference Figure 2 As shown, in some embodiments of the present application, the monitoring terminal 100 of the present application includes: a power module 105 and a communication module 106; the power module 105 is used to store electrical energy. Among them, the power module 105 is electrically connected with the detection module 101, the data acquisition module 102, the data processing module 103 and the display module 104 respectively, and the electrical connection here can be a direct electrical connection or an indirect electrical connection. In this way, the monitoring terminal 100 can be independently deployed in a rice field in the wild; and the monitoring terminal 100 can also upload data to the cloud, so that the data is processed in the cloud through an algorithm based on machine learning.

[0039] Reference Figure 3 As shown, in some examples of the present application, the monitoring terminal 100 of the present application further includes: a photovoltaic module 107. The photovoltaic module 107 is used to realize photovoltaic power generation. The photovoltaic module 107 is electrically connected to the power module 105. This can improve the endurance of the monitoring terminal 100.

[0040] like Figure 4 As shown, the electronic device 800 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0041] Typically, the following devices may be connected to the I / O interface 805: input devices 806 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 807 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 808 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 809. The communication device 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 4The electronic device 800 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 4 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0042] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 809, or installed from the storage device 808, or installed from the ROM 802. When the computer program is executed by the processing device 801, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0043] It should be noted that the computer-readable medium described above in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0044] In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device, or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, device, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0045] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperTextTransferProtocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.

[0046] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: responds to a farmland monitoring and analysis request, queries a monitoring and analysis model corresponding to the farmland monitoring and analysis request; inputs the monitoring data in the farmland monitoring and analysis request into the monitoring and analysis model so that the monitoring and analysis model outputs an analysis result; and sends the analysis result to a monitoring device or a mobile terminal.

[0047] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0048] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, which contains one or more executable instructions for implementing a specified logical function.

[0049] 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.

[0050] For example, two boxes shown in succession may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of boxes in the block diagram and / or flow chart, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0051] The units described in some embodiments of the present disclosure may be implemented by software or by hardware.

[0052] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0053] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A farmland monitoring method, comprising: In response to the farmland monitoring and analysis request, querying the monitoring and analysis model corresponding to the farmland monitoring and analysis request; Inputting the monitoring data in the farmland monitoring and analysis request into the monitoring and analysis model so that the monitoring and analysis model outputs an analysis result; The analysis result is sent to a monitoring device or a mobile terminal.

2. The farmland monitoring method according to claim 1, characterized in that: in, The monitoring data include: gas environment data; The gas environment data includes methane concentration and carbon dioxide concentration.

3. The farmland monitoring method according to claim 2, characterized in that: in, The monitoring data also includes: growth information data; The growth information data include: plant height, leaf area index and chlorophyll content.

4. The farmland monitoring method according to any one of claims 1 to 3, characterized in that: The monitoring and analysis module includes: a prediction and analysis model; Among them, the analysis result of the prediction analysis model is the prediction data of the monitoring data.

5. The farmland monitoring method according to claim 4, characterized in that: The monitoring and analysis module includes: a matching analysis model; Among them, the analysis result of the matching analysis model is the judgment result of whether the monitoring data is normal.

6. The farmland monitoring method according to claim 5, characterized in that: in, The prediction analysis model is a HMM model.

7. The farmland monitoring method according to claim 6, characterized in that: in, The matching analysis module is a convolutional neural network model.

8. A farmland monitoring device, comprising: A query module, used to respond to a farmland monitoring and analysis request and query a monitoring and analysis model corresponding to the farmland monitoring and analysis request; An analysis module, used for inputting the monitoring data in the farmland monitoring and analysis request into the monitoring and analysis model so that the monitoring and analysis model outputs an analysis result; The sending module is used to send the analysis result to the monitoring device or the mobile terminal.

9. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the processors implement the method according to any one of claims 1 to 7.

10. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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