A seeding spacing detection system, a seeding spacing detection method, electronic equipment, and a storage medium thereof.

Abstract

This application discloses a seed spacing detection system, its seed spacing detection method, electronic equipment, and storage medium. The system is applied to corn planting machinery and includes a main control unit and a sensor module connected to the main control unit. The sensor module is installed above and behind the outlet of the seed guide tube of each furrow opener seed tube assembly of the corn planting machinery. It is used to emit light signals into the planting furrow, collect the reflected signals from the furrow, and output a voltage signal based on the reflected signals. The main control unit processes the voltage signal based on a neural network detection model to identify seeds and obtain the seed spacing. Since the solution in this application detects the position of the seeds located in the planting furrow and calculates the seed spacing, the seed position no longer changes, thus the obtained seed spacing is accurate and effective.

Description

Technical Field

[0001] This application relates to the field of agricultural machinery technology, and more specifically, to a seeding spacing detection system, a seeding spacing detection method, electronic equipment, and a storage medium thereof. Background Technology

[0002] Corn is an important food and cash crop, and sowing is the most crucial process in corn production. Measuring the seed spacing at sowing time is essential for assessing sowing quality, evaluating seeder performance, and even for subsequent precision field management.

[0003] Currently, the detection of corn seed spacing is mainly based on the position of the seed guide tube. Specifically, the time interval between two adjacent seeds passing through a sensor installed on the seed guide tube is recorded and combined with the seeder's forward speed to calculate the seed spacing. However, because seeds collide at the seed guide tube and tumble and bounce after falling into the seed bed, the time interval between two adjacent seeds passing through a specific position on the seed guide tube does not represent the true time interval between their fall into the seed bed. Therefore, this detection method has inherent defects, resulting in low accuracy in seed spacing detection. Summary of the Invention

[0004] In view of this, this application provides a seeding spacing detection system, a seeding spacing detection method, an electronic device, and a storage medium for accurately detecting the effective seeding spacing of corn during seeding.

[0005] To achieve the above objectives, the following solution is proposed:

[0006] A seed spacing detection system is applied to corn planting machinery. The seed spacing detection system includes a main control device and a sensor module connected to the main control device, wherein:

[0007] The sensor module is installed above and behind the outlet of the seed guide tube of each furrow opener seed tube assembly of the corn planter. It is used to emit light signals into the seed furrow, collect the reflected signals reflected by the seed furrow, and output voltage signals based on the reflected signals.

[0008] The main control device is used to process the voltage signal based on a neural network detection model to identify seeds and obtain the seed spacing.

[0009] Optionally, the sensor module includes a sensor housing, a sensor circuit board mounted inside the sensor housing, a side slide plate disposed on the sensor housing via a slide rail, and a filter, wherein:

[0010] The sensor housing, the side slide plate, and the filter form an enclosed space, which is used to accommodate the sensor circuit board.

[0011] The sensor circuit board is connected to the main control device via wires. It is used to emit light signals into the sowing furrow, receive reflected signals reflected by the sowing furrow, and send the reflected signals to the main control device.

[0012] Optionally, the sensor circuit board includes a PCB board and a light emitting element and a light receiving element disposed on the PCB board. The light emitting element emits light signals into the seeding furrow through the filter, and the light receiving element is used to receive the reflected signals reflected by the seeding furrow and send the reflected signals to the main control device.

[0013] Optionally, the PCB board is further provided with an isolation baffle, which is disposed between the light emitting element and the light receiving element.

[0014] Optionally, the main control device includes a processor and a memory, a voltage regulator circuit, and a signal amplifier circuit respectively connected to the processor, wherein:

[0015] The memory is used to store computer programs or instructions;

[0016] The processor is used to execute the computer program or instructions so that the main control device processes the voltage signal to obtain the seeding spacing;

[0017] The voltage regulator circuit is used to supply power to the optical emitting element;

[0018] The signal amplification circuit is used to amplify the voltage signal.

[0019] Optionally, it also includes a mounting plate and a module mounting bracket, wherein:

[0020] One side of the mounting plate is connected to the upper rear of the outlet of the seed guide tube, and the other side is connected to the module mounting base. The module mounting base is detachably connected to the sensor module.

[0021] A grain spacing detection method, applied to the seeding grain spacing detection system described above, optionally includes the following steps:

[0022] Before the sowing operation begins, and after the furrow opener seed guide tube assembly is lowered, the soil detection reference voltage is determined based on the voltage signal output by the sensor module.

[0023] After the sowing operation begins, the voltage signal output by the sensor module is collected based on a preset frequency.

[0024] The voltage signal is judged based on the soil detection reference voltage;

[0025] When the voltage signal meets the preset conditions, the acquisition of a set of voltage signals output by the sensor module can begin.

[0026] The seed spacing is obtained by processing the set of voltage signals and the traveling speed of the corn planting machinery using a pre-built neural network detection model.

[0027] Optional steps may also be included:

[0028] When the sensor module is swept across the pre-constructed planting furrow, multiple sets of voltage signals output by the sensor module are collected, and corn seeds are placed in the planting furrow.

[0029] Each group of voltage signals is labeled based on the physical objects in the seed furrow to obtain a voltage signal dataset.

[0030] The neural network is trained based on the voltage signal dataset to obtain the neural network detection model.

[0031] An electronic device is used in a seed spacing detection system, the electronic device comprising only a processor and a memory connected to the processor, wherein:

[0032] The memory is used to store computer programs or instructions;

[0033] The processor is used to execute the computer program or instructions to enable the electronic device to implement the particle size detection method as described above.

[0034] A computer-readable storage medium is applied to an electronic device, the storage medium carrying one or more computer programs that can be executed by the electronic device to enable the electronic device to perform the particle size detection method as described above.

[0035] As can be seen from the above technical solution, this application discloses a seed spacing detection system, its seed spacing detection method, electronic equipment, and storage medium. This system is applied to corn planting machinery and includes a main control device and a sensor module connected to the main control device. The sensor module is installed above and behind the outlet of the seed guide tube of each furrow opener seed tube assembly of the corn planting machinery. It is used to emit light signals into the planting furrow, collect the reflected signals reflected by the furrow, and output a voltage signal based on the reflected signals. The main control device processes the voltage signal based on a neural network detection model to achieve seed identification and obtains the seed spacing by combining it with the traveling speed of the planting machinery. Since the solution in this application detects the position of the seeds located in the planting furrow and calculates the seed spacing, the seed position no longer changes, thus the obtained seed spacing is accurate and effective. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a schematic diagram of the overall structure of the seeding spacing detection system according to an embodiment of this application;

[0038] Figure 2 This is a schematic diagram of the installation of the sensor module according to an embodiment of this application;

[0039] Figure 3 This is an overall schematic diagram of the sensor module according to an embodiment of this application;

[0040] Figure 4 This is an exploded view of the sensor module according to an embodiment of this application;

[0041] Figure 5 This is a schematic diagram of the housing structure of the sensor module according to an embodiment of this application from one angle;

[0042] Figure 6 This is a schematic diagram of the housing structure of the sensor module according to an embodiment of this application from another angle;

[0043] Figure 7 This is a schematic diagram of a filter cleaning method according to an embodiment of this application;

[0044] Figure 8 This is a schematic diagram of the near-infrared spectrum of corn seed-soil according to an embodiment of this application;

[0045] Figure 9 This is a schematic diagram of the absorbance difference between corn seeds and soil in an embodiment of this application;

[0046] Figure 10 This is a block diagram of the main control device according to an embodiment of this application;

[0047] Figure 11 This is a flowchart of a particle spacing detection method according to an embodiment of this application;

[0048] Figure 12 This is a schematic diagram illustrating the operating mechanism of a neural network detection model according to an embodiment of this application;

[0049] Figure 13 This is a block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0050] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0051] This application provides a seed spacing detection system for deployment on corn planting machinery, specifically on the furrow opener assembly of the corn planting machinery, for detecting seed spacing by means of infrared light within the planting furrow. The technical solution is described below.

[0052] The seed spacing detection system described in this embodiment includes a main control device and a sensor module connected to the main control device. The main control device is signal-connected to the sensor module. The sensor module is installed above and behind the outlet of the seed guide tube of each furrow opener seed tube assembly of the corn planter. It is used to emit light signals into the seed furrow, collect the reflected signals reflected by the seed furrow, and output voltage signals to the main control device based on the reflected signals. The main control device processes the received voltage signals based on a neural network detection model to obtain the seed spacing.

[0053] like Figure 1 As shown, the furrow opener seed guide tube assembly 1 includes a seed guide tube 11 and a mounting plate 12. The mounting plate 12 is located above and behind the outlet of the seed guide tube 11, parallel to the ground, and fixedly connected to the furrow opener seed guide tube assembly 1. The mounting plate 12 is used to install the sensor module 2, and has a detection port 13 on it, such as... Figure 2 As shown.

[0054] like Figures 3-6 As shown, the sensor module 2 mainly includes a sensor housing 22, a module mounting base 23, a side slide plate 24, a filter 27, and a sensor circuit board 211. The sensor circuit board includes a PCB board and light emitting elements 212 and light receiving elements 214 disposed thereon. The sensor circuit board 211 is fixed to the circuit board mounting base 219 inside the sensor housing 22 by three fixing screws 215, and the power and signal interfaces 216 on the sensor circuit board 211 pass through the interface through hole 218 to connect to the external power supply and main control device.

[0055] The filter 27 of the sensor module is inserted into the sensor housing 22 via the filter slide 210 and is installed above the light emitting element 212 and the light receiving module 214. This filter serves two purposes: firstly, it prevents interference from other wavelengths of light from the light receiving element; secondly, it blocks dust or debris from entering the sensor module. Furthermore, an isolation baffle 213 is installed between the light emitting element 212 and the light receiving module 214. This baffle prevents the infrared light emitted by the light emitting element from being directly received by the light receiving module 214, thereby avoiding interference with seed detection.

[0056] The side slide plate 24 passes through the side slide plate inlet 28 and is inserted into the sensor housing 22 along the side slide plate track 29. This side slide plate serves two purposes: firstly, it restricts the freedom of the filter 27, and secondly, it prevents external dust or debris from entering the sensor module. The side slide plate 24 and the side slide plate track 29 are interference-fitted to prevent slippage due to vibration during field operations. The side slide plate 24 has a groove 25 for easy manual opening. In this application, the sensor housing 22 is inserted into the fixing seat track 26 of the module fixing seat 23 via a sensor housing slide bar 217, completely sealing the sensor module 2 and preventing external dust from entering during operation.

[0057] The sensor housing slide bar 217 and the mounting base slide rail 26 are interference-fitted to prevent them from sliding apart due to vibration during field operations. The module mounting base 23 is fixed to the mounting plate 12, and the sensor detection window 21 is inserted into the detection port 13 to form a seed detection environment in the seedbed. During field operations, to clean the dust on the filter 27, simply slide the sensor housing 22 out of the mounting base 23, as shown in the details. Figure 7 As shown, this greatly improves the ease of cleaning.

[0058] In addition, this application uses a near-infrared emitting diode as the light emitting element and a photodiode as the light receiving element, both with a diffusion angle of 120°. The spacing between the two is 5-10 mm, and the detection window 21 is 10 cm above the ground to ensure that the detection width is sufficient to cover the width of the seed furrow. The near-infrared light emitted by the near-infrared emitting diode has a wavelength of 950 nm. This wavelength is the characteristic wavelength where the soil absorbance is greater than the corn seed absorbance, and the difference between the two is the largest. (See details below.) Figure 8 and Figure 9 As shown, when near-infrared light is emitted to the soil, the infrared reflection is weak due to the strong absorption of the soil. However, when near-infrared light is emitted to corn seeds on the soil, the infrared reflection is strong, thus creating a difference in the presence or absence of seeds and enabling the detection of corn seeds against the soil background. The corresponding filter 27 allows a peak wavelength of 950nm to pass through. Since the module mounting base 23 needs to support the entire sensor module, the tensile strength of the material used should be greater than 50MPa, so nylon material can be selected.

[0059] The main control device 100 of this application includes a processor 101 and a voltage regulator circuit 102, and also includes a memory 103 and a signal amplifier circuit 104 respectively connected to the processor, such as Figure 10 As shown. The memory stores computer programs or instructions; the processor executes the computer programs or instructions to enable the main control device to process the voltage signal and obtain the seeding spacing. The voltage regulator circuit supplies power to the light-emitting element, enabling it to generate a stable intensity light signal; the signal amplifier circuit amplifies the signal and outputs the amplified voltage signal to the processor. The signal amplifier circuit should be a two-stage amplifier circuit, where the first stage is a transimpedance amplifier circuit, and the total amplification factor of the two-stage amplifier circuit should be 100 to 1000 times. The signal amplifier circuit should have a low-pass filter with a cutoff frequency of 10kHz to filter high-frequency noise.

[0060] As can be seen from the above technical solution, this embodiment provides a seed spacing detection system applied to corn planting machinery. The system includes a main control device and a sensor module connected to the main control device. The sensor module is installed above and behind the outlet of the seed guide tube of each furrow opener seed tube assembly of the corn planting machinery. It is used to emit light signals into the planting furrow, collect the reflected signals from the furrow, and output a voltage signal based on the reflected signals. The main control device processes the voltage signal based on a neural network detection model to achieve seed identification and, combined with the traveling speed of the planting machinery, obtains the seed spacing. Since the solution in this application detects the position of the seeds located in the planting furrow and calculates the seed spacing, the seed position no longer changes, thus the obtained seed spacing is accurate and effective.

[0061] Figure 11 This is a flowchart of a particle spacing detection method according to an embodiment of this application.

[0062] like Figure 11 As shown, the particle spacing detection method in this embodiment is applied to the above-mentioned seeding particle spacing detection system, specifically to the main control device of the system. The particle spacing detection method specifically includes the following steps:

[0063] S1. Determine the soil detection reference voltage based on the voltage signal output by the sensor module.

[0064] Before sowing, after the furrow opener is lowered, the output voltage of the sensor module is collected 100 times. The average value of all the output voltages is used as the soil detection reference voltage. This is to avoid detection errors caused by different soil environments and absorbance in different regions, so that this solution can be applied to particle spacing detection in different soil environments.

[0065] S2. Acquire the voltage signal output by the sensor module.

[0066] After the sowing operation begins, the output voltage of the sensor module is collected at a frequency of 10000Hz.

[0067] S3. Judge the voltage signal.

[0068] While sowing is underway, each voltage signal is evaluated based on the soil detection reference voltage. Specifically, it is determined whether the signal exceeds a certain voltage value, such as 0.25 volts. If the signal does not exceed this value, the process returns to the previous step. If the signal exceeds this preset voltage value, it indicates that corn seeds may have been detected, and the next steps are executed.

[0069] S4. Start collecting a set of voltage signals output by the sensor module.

[0070] When the voltage signal meets the preset condition, i.e., exceeds 0.25 volts, a set of voltage signals is collected starting from this time, for example, five consecutive voltage signals are collected.

[0071] S5. Process the voltage signal using a neural network detection model.

[0072] The voltage signal is input into a pre-built neural network detection model for processing to identify the seeds. Once a seed is identified, the seed spacing is calculated based on the time of seed identification and the current speed of the corn planting machinery.

[0073] In practice, the time it takes for a seed to pass through the detection area of ​​the seed detection sensor module varies, as does the time it takes for the voltage to drop from the peak voltage to the soil detection reference voltage. Therefore, the voltage acquisition time interval T should be adjusted according to the seeder's forward speed. The voltage acquisition time interval T is calculated using equation (1). The data from the five collected voltage signals are then input into the neural network detection model for detection to determine whether a corn seed has been detected. Figure 12 As shown.

[0074]

[0075] Where s is the detection window length, which is 3cm in this case; l is the average length of corn seeds, which is 1cm in this case; and v is the real-time operating speed of the seeder.

[0076] The neural network detection model can distinguish corn seeds with unclear voltage signal characteristics from small stones and straw fragments, thus avoiding interference from the latter in corn seed detection.

[0077] In addition, this application also provides a method for training a neural network model, as detailed below:

[0078] First, the sensor module is swept across the pre-constructed planting furrow by manual or automatic means. At the same time, multiple sets of voltage signals output by the sensor module are collected. Corn seeds, small stones and other reasonable debris are placed in the planting furrow.

[0079] Then, each voltage signal is labeled based on the actual objects in the planting furrow, resulting in a voltage signal dataset. During execution, five voltage signals can be read at equal time intervals, and the voltage value of each signal can be determined.

[0080] Finally, the constructed neural network is trained based on the voltage signal dataset to obtain the neural network detection model.

[0081] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0082] Although the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. In certain environments, multitasking and parallel processing may be advantageous.

[0083] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0084] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone 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 can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer.

[0085] Figure 13 This is a block diagram of an electronic device according to an embodiment of this application.

[0086] The following is for reference. Figure 13 This document illustrates a structural diagram suitable for implementing the electronic device in the embodiments of this disclosure. The terminal device in the embodiments of this disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. This electronic device is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this disclosure.

[0087] The electronic device may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 1301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1302 or a program loaded into a random access memory (RAM) 1303 from an input device 1306. The RAM also stores various programs and data required for the operation of the electronic device. The processing unit, ROM, and RAM are interconnected via a bus 1304. An input / output (I / O) interface 1305 is also connected to the bus 1304.

[0088] Typically, the following devices can be connected to the I / O interface: input devices including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 1307 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1308 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1309. Communication device 1309 allows the electronic device to communicate wirelessly or wiredly with other devices to exchange data. Although the electronic device with various devices is shown in the figures, 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 alternatively.

[0089] This application also provides an embodiment of a computer-readable storage medium.

[0090] The aforementioned computer-readable storage medium is used in the seeding distance detection system of the corn planting machinery provided above, and carries one or more computer programs. When the aforementioned one or more computer programs are executed by the system, the system is able to obtain accurate seeding distance during the planting process of the planting machinery.

[0091] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0092] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0093] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0094] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0095] The technical solution provided by the present invention has been described in detail above. Specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation and application scope based on the idea of ​​the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A seed spacing detection method applied to a seed spacing detection system of a corn seeding machine, the corn seeding machine comprising an opener seed tube assembly, the seed spacing detection system comprising a master control device and a sensor module connected to the master control device, characterized in that, The seed spacing detection method comprises the following steps: Before the seeding operation starts and after the seed tube assembly of the furrow opener falls, a soil detection reference voltage is determined based on a voltage signal output by the sensor module; After the seeding operation starts, a voltage signal generated by the sensor module by emitting a light signal into a seeding furrow and collecting a reflected signal reflected by the seeding furrow is collected based on a preset frequency; The voltage signal is judged based on the soil detection reference voltage; When the voltage signal meets a preset condition, a group of voltage signals output by the sensor module can be collected; The group of voltage signals and the traveling speed of the corn seeding machine are processed by using a pre-constructed neural network detection model to obtain the seeding seed spacing. In addition, the following steps are further included: When the sensor module is swept through a pre-constructed seeding furrow in which corn seeds are placed, a plurality of groups of voltage signals output by the sensor module are collected; Each group of voltage signals is labeled based on the actual object in the seeding furrow to obtain a voltage signal dataset; The constructed neural network is trained based on the voltage signal dataset to obtain the neural network detection model.

2. The pitch detection method of claim 1, wherein, The sensor module is installed at the rear upper part of the outlet of the seed tube of the seed tube assembly of the furrow opener, is used for emitting a light signal into a seeding furrow, collecting a reflected signal reflected by the seeding furrow, and outputting a voltage signal based on the reflected signal; The main control device is used for processing the voltage signal based on the neural network detection model to realize seed recognition and further obtain the seeding seed spacing.

3. The pitch detection method of claim 2, wherein, The sensor module comprises a sensor shell, a sensor circuit board installed in the sensor shell, a side sliding plate configured on the sensor shell through a sliding channel, and a filter, wherein: The sensor shell, the side sliding plate, and the filter form a closed space for accommodating the sensor circuit board; The sensor circuit board is connected to the main control device through a lead wire, is used for emitting a light signal into the seeding furrow, receiving a reflected signal reflected by the seeding furrow, and sending the reflected signal to the main control device.

4. The pitch detection method of claim 3, wherein, The sensor circuit board comprises a PCB board and a light emitting element and a light receiving element arranged on the PCB board, the light emitting element emits a light signal into the seeding furrow through the filter, and the light receiving element receives the reflected signal reflected by the seeding furrow and sends the reflected signal to the main control device.

5. The pitch detection method of claim 4, wherein, An isolation baffle is further arranged on the PCB board and is arranged between the light emitting element and the light receiving element.

6. The pitch detection method of claim 4 wherein, The main control device comprises a processor and a memory, a voltage stabilizing circuit, and a signal amplification circuit connected to the processor, wherein: The memory is used for storing computer programs or instructions; The processor is used for executing the computer programs or instructions to make the main control device process the voltage signal to obtain the seeding seed spacing; The voltage stabilizing circuit is used for supplying power to the light emitting element; The signal amplification circuit is used for amplifying the voltage signal.

7. The particle distance detection method according to any one of claims 2 to 6, wherein The sensor module further comprises a mounting plate and a module fixing seat, wherein: One side of the mounting plate is connected with the upper rear of the outlet of the seed tube, the other side is connected with the module fixing seat, and the module fixing seat is connected with the sensor module in a detachable manner.

8. An electronic device applied to a seeding row spacing detection system, characterized in that, The electronic device comprises at least one processor and a memory connected with the processor, wherein: The memory is used for storing computer programs or instructions; The processor is used for executing the computer programs or instructions, so that the electronic device implements the particle distance detection method according to any one of claims 1-7. 9.A storage medium readable by a computer, applied to an electronic device, and having stored thereon a plurality of instructions which, when executed by the electronic device, cause the electronic device to perform the method of any one of claims 1 to 8. The storage medium carries one or more computer programs, and the one or more computer programs can be executed by the electronic device, so that the electronic device implements the particle distance detection method according to any one of claims 1-7.

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