Crop yield monitoring method and crop yield monitoring system

Abstract

The present application provides a crop yield monitoring method and crop yield monitoring system, wherein the method includes: identifying whether the harvester meets the crop yield monitoring conditions based on the rotation speed of the harvester's grain elevator and the crop flow rate in the grain elevator, wherein the grain elevator is used to lift the crop into the grain transport auger barrel of the harvester; if the harvester meets the crop yield monitoring conditions, receiving the voltage signal of the impulse sensor to obtain the first crop yield data, wherein the impulse sensor is arranged at the top of the grain elevator; correcting the first yield data to obtain the second yield data based on the harvesting status of the harvester's header; displaying the second yield data on the harvester's onboard display terminal, and uploading the second yield data to the cloud platform. Through this application, the accuracy of crop yield monitoring is improved.

Description

Technical Field

[0001] The present application relates to the field of agricultural production technology, and in particular to a crop yield monitoring method and a crop yield monitoring system. Background Art

[0002] With the accelerating pace of agricultural modernization, the demand for intelligent and modernized processes across the four key processes of farming, management, and harvesting is growing. To optimize agricultural production, the development and application of yield monitoring systems has become particularly important. These systems can collect and analyze key data such as operating area, per-acre grain yield, and location information, providing a scientific basis for variable-rate seeding, fertilization, spraying, and field management.

[0003] Current yield measurement systems primarily utilize photoelectric, gravimetric, and radiation-based technologies. However, each has its limitations: photoelectric systems are susceptible to the effects of grain moisture, bulk density, and impurities, resulting in reduced accuracy during continuous operation; gravimetric systems, while highly accurate, are inefficient when applied on a large scale; and radiation-based systems, due to potential health risks, have limited widespread commercialization. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a crop yield monitoring method and a crop yield monitoring system, aiming to improve the accuracy of crop yield detection.

[0005] In the first aspect, the present application provides a crop yield monitoring method, which includes: identifying whether the harvester meets the crop yield monitoring conditions based on the rotation speed of the harvester's grain elevator and the crop flow in the grain elevator, the grain elevator being used to lift the crop into the grain transport auger barrel of the harvester; if the harvester meets the crop yield monitoring conditions, receiving the voltage signal of the impulse sensor to obtain the first yield data of the crop, the impulse sensor being arranged at the top of the grain elevator; correcting the first yield data according to the harvesting status of the harvester's header to obtain the second yield data; displaying the second yield data on the harvester's on-board display terminal, and uploading the second yield data to the cloud platform.

[0006] In one possible embodiment, whether the harvester meets the crop yield monitoring conditions is identified in the following manner: when the rotational speed of the grain elevator reaches the maximum rotational speed and the crop flow in the grain elevator exceeds the preset flow, it is determined that the harvester meets the crop yield monitoring conditions; when the rotational speed of the grain elevator does not reach the maximum rotational speed, and / or the crop flow in the grain elevator does not exceed the preset flow, it is determined that the harvester does not meet the crop yield monitoring conditions.

[0007] In one possible embodiment, whether the crop flow in the grain elevator exceeds the preset flow is determined in the following manner: the crop flow in the grain elevator is detected by the voltage signal of the impulse sensor; when the voltage value of the voltage signal of the impulse sensor is higher than the preset voltage value, it is determined that the crop flow in the grain elevator exceeds the preset flow.

[0008] In a possible embodiment, it also includes: subtracting the voltage value of the calibration signal from the voltage value of the voltage signal to obtain an actual voltage value, wherein the calibration signal indicates a signal emitted by the impulse sensor when the grain elevator is idling at the maximum speed, wherein the step of receiving the voltage signal of the impulse sensor to obtain the first yield data of the crop includes: converting the actual voltage value into the initial yield data of the crop; and obtaining the first yield data based on the initial yield data and the speed of the grain elevator.

[0009] In a possible embodiment, it also includes: a plurality of voltage intervals are pre-set, each voltage interval corresponds to a harvesting state of the harvesting platform, wherein the step of correcting the first yield data to obtain the second yield data according to the harvesting state of the harvesting platform includes: identifying the target voltage interval in which the actual voltage value falls to determine the target harvesting state corresponding to the target voltage interval; determining the target correction strategy corresponding to the target harvesting state according to the target harvesting state; and correcting the first yield data according to the target correction strategy to obtain the second yield data.

[0010] In a possible embodiment, it also includes: when the harvester meets the crop yield monitoring conditions, receiving a humidity signal from a moisture sensor, the moisture sensor is arranged below the grain transport auger, and the grain transport auger is used to transport the crops received from the grain elevator to the granary; according to the humidity signal, calculating the moisture content of the crop; according to the moisture content and the second yield data, obtaining the dry weight data of the crop; displaying the moisture content and the dry weight data on the vehicle-mounted display terminal, and uploading the moisture content and the dry weight data to the cloud platform.

[0011] In a possible embodiment, it also includes: calculating the per-acre yield data of the crop based on the vehicle speed, operation time and the second yield data of the harvester; generating a crop yield map based on the location information of the harvester and the per-acre yield data, and synchronously displaying the yield map on the vehicle-mounted display terminal and the cloud platform.

[0012] In second aspect, the present application provides a crop yield monitoring system, which includes: a controller, configured to: identify whether the harvester meets the crop yield monitoring conditions based on the rotation speed of the harvester's grain elevator and the crop flow in the grain elevator, the grain elevator being used to lift the crop into the grain transport auger barrel of the harvester; if the harvester meets the crop yield monitoring conditions, receive the voltage signal of the impulse sensor to obtain the first yield data of the crop, the impulse sensor being arranged at the top of the grain elevator; according to the harvesting status of the harvester's header, correct the first yield data to obtain the second yield data; display the second yield data on the harvester's on-board display terminal, and upload the second yield data to the cloud platform.

[0013] In a third aspect, the present application also provides an electronic device comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the above method are performed.

[0014] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are executed.

[0015] The present application provides a crop yield monitoring method and crop yield monitoring system, wherein the method includes: identifying whether the harvester meets the crop yield monitoring conditions based on the rotation speed of the harvester's grain elevator and the crop flow rate in the grain elevator, wherein the grain elevator is used to lift the crop into the grain transport auger barrel of the harvester; if the harvester meets the crop yield monitoring conditions, receiving the voltage signal of the impulse sensor to obtain the first crop yield data, wherein the impulse sensor is arranged at the top of the grain elevator; correcting the first yield data to obtain the second yield data based on the harvesting status of the harvester's header; displaying the second yield data on the harvester's onboard display terminal, and uploading the second yield data to the cloud platform. Through this application, the accuracy of crop yield monitoring is improved.

[0016] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A flow chart of a crop yield monitoring method provided in an embodiment of the present application;

[0019] Figure 2 A flowchart for obtaining second production data provided in an embodiment of the present application;

[0020] Figure 3 A flow chart for obtaining dry weight data of crops provided in an embodiment of the present application;

[0021] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for which protection is claimed, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work falls within the scope of protection of the present application.

[0023] First, the application scenarios to which this application is applicable are introduced. This application can be applied to agricultural production.

[0024] With the accelerating pace of agricultural modernization, the demand for intelligent and modernized processes across the four key processes of farming, management, and harvesting is growing. To optimize agricultural production, the development and application of yield monitoring systems has become particularly important. These systems can collect and analyze key data such as operating area, per-acre grain yield, and location information, providing a scientific basis for variable-rate seeding, fertilization, spraying, and field management.

[0025] Current yield measurement systems primarily utilize photoelectric, gravimetric, and radiation-based technologies. However, each has its limitations: photoelectric systems are susceptible to the effects of grain moisture, bulk density, and impurities, resulting in reduced accuracy during continuous operation; gravimetric systems, while highly accurate, are inefficient when applied on a large scale; and radiation-based systems, due to potential health risks, have limited widespread commercialization.

[0026] Based on this, the embodiments of the present application provide a crop yield monitoring method and a crop yield monitoring system, aiming to improve the accuracy of crop yield detection.

[0027] See also Figure 1 , Figure 1 This is a flow chart of a crop yield monitoring method provided in an embodiment of the present application. Figure 1 As shown in , the crop yield monitoring method provided by the embodiment of the present application includes:

[0028] S101. Identify whether the harvester meets the crop yield monitoring conditions based on the rotation speed of the harvester's grain elevator and the crop flow rate in the grain elevator.

[0029] Here, the grain elevator is used to lift crops into the grain transport auger barrel of the harvester. The grain elevator is a component on the harvester, which is used to lift the harvested crops (such as rice, wheat and other grains) from the ground or low places to the grain transport auger barrel of the harvester for subsequent transportation, threshing and storage. The crop flow rate refers to the amount of crops passing through the grain elevator per unit time. The crop yield monitoring condition refers to judging whether the harvester is in a state or condition suitable for crop yield monitoring.

[0030] In a preferred example of the present application, whether the harvester meets the crop yield monitoring conditions is identified in the following manner:

[0031] When the rotation speed of the grain elevator is not less than the maximum rotation speed and the crop flow in the grain elevator is greater than the preset flow, it is determined that the harvester meets the crop yield monitoring conditions. When the rotation speed of the grain elevator is not less than the maximum rotation speed and / or the crop flow in the grain elevator is less than the preset flow, it is determined that the harvester does not meet the crop yield monitoring conditions.

[0032] In a preferred example of the present application, whether the crop flow rate in the grain elevator exceeds the preset flow rate is determined by:

[0033] The crop flow in the grain elevator is detected by the voltage signal of the impulse sensor. When the voltage value of the voltage signal of the impulse sensor is higher than the preset voltage value, it is determined that the crop flow in the grain elevator exceeds the preset flow.

[0034] Here, an impulse sensor is installed at the top of the grain elevator. An impulse sensor is a sensor that can detect and measure impact force or momentum changes. In this embodiment of the present application, the impulse sensor is installed at the top of the grain elevator to detect the flow of crops through the grain elevator and convert it into a voltage signal. The preset voltage value refers to a pre-set voltage standard. When the voltage signal output by the impulse sensor exceeds this voltage standard, it is determined that the crop flow in the grain elevator exceeds the preset flow rate. The voltage signal of the impulse sensor exchanges data with the harvester's controller via CAN communication.

[0035] S102: If the harvester meets the crop yield monitoring condition, the voltage signal of the impulse sensor is received to obtain first crop yield data.

[0036] In a preferred example of the present application, the voltage value of the voltage signal is subtracted from the voltage value of the calibration signal to obtain the actual voltage value, where the calibration signal indicates the signal emitted by the impulse sensor when the grain elevator is idling at the maximum speed.

[0037] The calibration signal here refers to the signal emitted by the impulse sensor when the grain elevator is running at maximum speed and no load. This signal is used to calibrate or adjust the sensor output for more accurate crop yield measurement. During vibration calibration, the impulse sensor output voltage signal varies between harvester models. Therefore, it is necessary to record and save the impulse sensor signal when the grain elevator is running no load for each model to facilitate calculation of the effective voltage signal output by the impulse sensor during harvest. To prevent inaccurate yield data from being misused when the vibration calibration function is not in the harvest vibration state, the grain elevator speed sensor is used to define the conditions for entering vibration calibration. The grain elevator speed sensor outputs an analog signal, which the controller receives and calculates through a certain conversion relationship to obtain real-time grain elevator speed data. As the main clutch throttle is fully applied, the grain elevator speed stabilizes near its maximum value. The maximum speed of the grain elevator varies between models. The vibration calibration function only works properly when the real-time speed reaches near the maximum speed of the grain elevator for the current model.

[0038] The step of receiving the voltage signal of the impulse sensor to obtain the first yield data of the crop includes: converting the actual voltage value into the initial yield data of the crop, and obtaining the first yield data according to the initial yield data and the rotation speed of the grain elevator.

[0039] The first yield data refers to the crop yield data obtained through preliminary measurement and calculation. In the embodiment of the present application, the first yield data is obtained by converting the actual voltage value into the initial yield data and correcting it according to the rotation speed of the grain elevator. The speed of the rotation speed directly affects the grain transportation efficiency and the overall working efficiency of the harvester. There is a certain correspondence between the rotation speed and the yield. For example, when the speed increases, it may mean that the harvester is processing more crops, which may produce a higher yield. But at the same time, too fast a speed may also cause the loss or damage of grains, thereby affecting the actual yield. Therefore, after obtaining the initial yield data, it is necessary to correct it according to the rotation speed of the grain elevator. This correction process can establish an accurate correction model based on the relationship between the rotation speed and the yield. Through this model, the initial yield data can be adjusted according to the actual rotation speed data, so as to obtain more accurate and reliable first yield data.

[0040] S103: According to the harvesting status of the harvester's header, the first yield data is corrected to obtain second yield data.

[0041] Here, the harvesting status of the harvesting platform refers to the working status of the harvesting platform on the harvester, including full-width harvesting, non-full-width harvesting, etc. The harvesting status of the harvesting platform is used as a basis for correcting the first yield data to obtain more accurate second yield data. For example, if the harvesting platform is in a non-full-width harvesting state, the first yield data may need to be adjusted to reflect the actual harvesting efficiency.

[0042] Below through Figure 2 The steps of correcting the first yield data to obtain the second yield data are introduced.

[0043] Figure 2 This is a flowchart for obtaining second production data provided in an embodiment of the present application.

[0044] S201: Identify the target voltage interval within which the actual voltage value falls, to determine a target harvesting state corresponding to the target voltage interval.

[0045] Here, multiple voltage intervals are pre-set, each voltage interval corresponds to a harvesting state of the harvesting platform, and the target voltage interval refers to a specific interval within a certain range into which the actual voltage value of the impulse sensor falls. By identifying which target voltage interval the actual voltage value falls into, the current harvesting state can be preliminarily judged.

[0046] S202: Determine a target correction strategy corresponding to the target harvesting state according to the target harvesting state.

[0047] Here, the target correction strategy may include adjusting the proportion of yield data, increasing or decreasing specific yield values, or applying a certain mathematical model for correction, such as the crop flow segmentation model, which aims to more accurately reflect the actual crop yield based on the actual harvest status.

[0048] S203: Correct the first production data according to the target correction strategy to obtain second production data.

[0049] return Figure 1 , S104, displaying the second yield data on the harvester's onboard display terminal, and uploading the second yield data to the cloud platform.

[0050] Here, the on-board display terminal is used to display the second yield data in real time, allowing the driver to intuitively understand the current crop yield situation. The cloud platform is used to receive and store the second yield data uploaded from the harvester for subsequent data analysis, processing or visualization. It can be uploaded to the cloud platform through the on-board TBox, which helps agricultural managers better understand the growth and yield distribution of crops, and make more scientific decisions.

[0051] Through the intelligent display terminal, users can interact with this impulse-based yield monitoring system in real time. The main interface displays real-time yield data such as yield per mu, work efficiency, harvesting efficiency, and grain moisture, as well as average yield data such as cumulative wet weight, cumulative dry weight, average yield per mu, work efficiency, harvesting efficiency, grain moisture, and total harvesting area. Users can also view real-time yield maps or moisture maps.

[0052] After the operation data is saved, you can view the output map overview of the operation in the operation history, view and export the operation data, and the relevant working information of the impulse production monitoring system can be seen on the diagnosis interface. The system parameters can be set or calibrated on the setting interface, and when the system has an abnormality, an alarm message will appear at the top of the screen.

[0053] In a preferred example, after the harvester operation is completed, the actual weighing mass is input into the intelligent display terminal, and the controller automatically updates the yield calibration coefficient. In order to meet the accuracy of the impulse system yield measurement under various harvesting situations and operating conditions, harvesting operations can be performed in full-width, non-full-width and other situations during harvesting. After the operation is completed, the required multiple operation data are selected on the display terminal, and the actual weighing values ​​are input for joint calibration. The system will automatically establish a calibration curve to improve the accuracy of yield measurement.

[0054] Figure 3 This is a flow chart for obtaining dry weight data of crops provided in an embodiment of the present application.

[0055] S301. When the harvester meets the crop yield monitoring conditions, it receives a humidity signal from a moisture sensor.

[0056] The moisture sensor is a device capable of detecting and measuring the moisture content of a substance. Installed beneath the grain auger, it monitors the moisture content of crops as they are transported from the grain elevator to the auger and ultimately into the grain silo. This helps understand the moisture status of the crop, which is crucial for subsequent yield calculations and crop processing. The grain auger transports the crops from the grain elevator to the silo. The moisture signal, output by the moisture sensor, indicates the moisture content of the crop.

[0057] S302: Calculate the moisture content of the crop according to the humidity signal.

[0058] Here, moisture content refers to the percentage of water in the crop, which is calculated by processing the humidity signal. Moisture content is very important for understanding the dryness of the crop and calculating dry weight data.

[0059] S303: Obtain dry weight data of the crop according to the moisture content and the second yield data.

[0060] Here, dry weight data is obtained by converting the actual weight of the crop (taking into account the moisture content) into the weight of the crop containing standard moisture.

[0061] S304: Display the moisture content and dry weight data on the vehicle-mounted display terminal, and upload the moisture content and dry weight data to the cloud platform.

[0062] In a preferred example of the present application, it also includes: calculating the per-acre yield data of the crop based on the harvester's speed, operating time and second yield data, generating a crop yield map based on the harvester's location information and per-acre yield data, and synchronously displaying the yield map on the vehicle-mounted display terminal and the cloud platform.

[0063] Per-acre yield data is calculated by combining the harvester's speed, operating time, and secondary yield data. It reflects crop yield per unit area and is a key indicator for assessing crop yield and agricultural production efficiency. The yield map is generated by combining the harvester's location information, per-acre yield data, and delay time. The delay time refers to the interval between the crop entering the harvester's header and the grain striking the impulse sensor. The on-board display terminal generates a crop yield map and moisture map based on the harvester's location information, per-acre yield data, and delay time. This map accurately matches per-acre yield data with location information, visually displaying crop yield distribution in different geographic locations. This map helps agricultural managers understand crop yield distribution and changing trends, providing a basis for agricultural production decisions.

[0064] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 4 As shown in FIG, the electronic device 400 includes a processor 410 , a memory 420 and a bus 430 .

[0065] The memory 420 stores machine-readable instructions executable by the processor 410. When the electronic device 400 is running, the processor 410 communicates with the memory 420 via the bus 430. When the machine-readable instructions are executed by the processor 410, the above-mentioned Figure 1 as well as Figure 2 The steps of the crop yield monitoring method in the illustrated method embodiment and the specific implementation thereof can be found in the method embodiment, which will not be described in detail here.

[0066] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figures 1 to 3 The steps of the crop yield monitoring method in the illustrated method embodiment and the specific implementation thereof can be found in the method embodiment, which will not be described in detail here.

[0067] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0068] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. There may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some communication interface, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0069] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0070] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0071] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0072] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-mentioned embodiments within the technical scope disclosed in the present application, or perform equivalent replacements for some of the technical features thereof. These modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A crop yield monitoring method, characterized in that: The method comprises: identifying whether the harvester meets crop yield monitoring conditions based on the rotational speed of a grain elevator of the harvester and the crop flow rate within the grain elevator, wherein the grain elevator is used to lift the crop into the grain auger of the harvester; If the harvester meets the crop yield monitoring condition, the harvester receives a voltage signal from an impulse sensor to obtain first crop yield data, wherein the impulse sensor is arranged at the top of the grain elevator; According to the harvesting state of the harvesting platform of the harvester, the first yield data is corrected to obtain second yield data; The second yield data is displayed on the onboard display terminal of the harvester, and the second yield data is uploaded to the cloud platform. Also includes: The actual voltage value is obtained by subtracting the voltage value of the calibration signal from the voltage value of the voltage signal, wherein the calibration signal indicates the signal emitted by the impulse sensor when the grain elevator is unloaded at the maximum speed. The step of receiving the voltage signal of the impulse sensor to obtain first crop yield data includes: Converting the actual voltage value into initial crop yield data; According to the initial yield data and the rotation speed of the grain elevator, the first yield data is obtained, Also includes: There are multiple voltage intervals preset, each voltage interval corresponds to a harvesting state of the header. The step of correcting the first yield data to obtain second yield data according to the harvesting status of the header includes: Identifying a target voltage interval within which the actual voltage value falls, so as to determine a target harvesting state corresponding to the target voltage interval; Determining a target correction strategy corresponding to the target harvesting state according to the target harvesting state; The first production data is corrected according to the target correction strategy to obtain second production data.

2. The method according to claim 1, characterized in that Whether the harvester meets the crop yield monitoring conditions is identified by: When the rotation speed of the grain elevator reaches a maximum rotation speed and the crop flow in the grain elevator exceeds a preset flow rate, determining that the harvester meets the crop yield monitoring condition; When the rotation speed of the grain elevator does not reach the maximum rotation speed, and / or the crop flow in the grain elevator does not exceed the preset flow, it is determined that the harvester does not meet the crop yield monitoring conditions.

3. The method according to claim 2, characterized in that Determine whether the crop flow in the grain elevator exceeds a preset flow by: detecting the crop flow rate in the grain elevator by means of a voltage signal from the impulse sensor; When the voltage value of the voltage signal of the impulse sensor is higher than the preset voltage value, it is determined that the crop flow in the grain elevator exceeds the preset flow.

4. The method according to claim 1, wherein Also includes: When the harvester meets the crop yield monitoring condition, it receives a humidity signal from a moisture sensor, wherein the moisture sensor is arranged below the grain transport auger, and the grain transport auger is used to transport the crops received from the grain elevator to a granary; Calculating the moisture content of the crop according to the humidity signal; Obtaining dry weight data of the crop according to the moisture content and the second yield data; The moisture content and the dry weight data are displayed on the vehicle-mounted display terminal, and the moisture content and the dry weight data are uploaded to the cloud platform.

5. The method according to claim 1, wherein Also includes: Calculating per-acre yield data of the crop based on the speed, operation time and second yield data of the harvester; A crop yield map is generated based on the location information of the harvester and the per-acre yield data, and the yield map is synchronously displayed on the vehicle-mounted display terminal and the cloud platform.

6. A crop yield monitoring system, characterized in that: The system comprises: The controller is configured to: identify whether the harvester meets a crop yield monitoring condition based on a rotational speed of a grain elevator of the harvester and a crop flow rate in the grain elevator, wherein the grain elevator is used to lift crops into a grain transport auger of the harvester; if the harvester meets the crop yield monitoring condition, receive a voltage signal from an impulse sensor to obtain first crop yield data, wherein the impulse sensor is disposed at a top end of the grain elevator; correct the first yield data to obtain second yield data based on a harvesting state of a header of the harvester; display the second yield data on an onboard display terminal of the harvester, and upload the second yield data to a cloud platform; The controller is further configured to: subtract a voltage value of a calibration signal from a voltage value of the voltage signal to obtain an actual voltage value, wherein the calibration signal indicates a signal emitted by the impulse sensor when the grain elevator is unloaded at a maximum speed, wherein the step of receiving the voltage signal from the impulse sensor to obtain first crop yield data includes: converting the actual voltage value into initial crop yield data; and obtaining the first crop yield data based on the initial yield data and the speed of the grain elevator; The controller is also configured to: pre-set a plurality of voltage intervals, each voltage interval corresponding to a harvesting state of the harvesting platform, wherein the step of correcting the first yield data to obtain second yield data according to the harvesting state of the harvesting platform includes: identifying the target voltage interval in which the actual voltage value falls to determine the target harvesting state corresponding to the target voltage interval; determining the target correction strategy corresponding to the target harvesting state according to the target harvesting state; and correcting the first yield data according to the target correction strategy to obtain second yield data.

7. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and the processor executes the machine-readable instructions to perform the steps of any one of the methods described in claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are executed.

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