An intelligent and efficient vegetable defoliating harvester control system and method

Abstract

The present invention discloses an intelligent and efficient vegetable defoliation harvester control system and method, which relates to the field of artificial intelligence application technology, including a distance judgment module, a defoliation control module, a collection control module and a threshold comparison module, wherein: the distance judgment module is used to detect the distance between the harvester and the vegetable plant, and if it is within the preset harvesting distance, the harvester is controlled to start harvesting; the defoliation control module is used to control the harvester to perform defoliation after comparing the vegetable plant image with the preset reference vegetable plant image; the collection control module is used to control the harvester to collect the defoliated vegetables; and the weight of the collected vegetables is judged; the threshold comparison module is used to compare the weight judgment result with the preset threshold value, and if the preset threshold value is reached, an alarm is turned on to control the harvester to suspend harvesting. The vegetable harvester of the present invention can automatically identify old leaves and remove them, further improving its intelligence level and operation convenience.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence application technology, and in particular to an intelligent and efficient vegetable defoliating harvester control system and method. Background Art

[0002] At present, lettuce is a widely grown and consumed vegetable, and it plays an important role worldwide. With the continuous advancement of agricultural modernization and the improvement of agricultural mechanization, the scale of lettuce cultivation has gradually expanded, so the demand for lettuce harvesters has also increased. The traditional manual harvesting method is inefficient, labor-intensive, and the leaf removal process is cumbersome, which cannot meet the needs of modern agriculture. In recent years, mechanized operations have been implemented for cultivated land and transplanting work for lettuce cultivation in China, but domestic research on mechanized harvesting technology for vegetables such as lettuce is still being carried out and improved. Although the single-row side-mounted lettuce harvester led by Shi Zhiming has solved a large number of problems in the mechanization of lettuce harvesting in China, it still relies on other agricultural machinery and its lettuce leaf removal function has not been improved, and it is not yet fully intelligent.

[0003] Various domestic vegetable harvesters have big and small problems in terms of technological innovation, product homogeneity, adaptability, cost and environmental protection, and market promotion. Domestic vegetable harvesters often rely on imports for core technologies and key components, and their independent innovation capabilities need to be improved. Most vegetable harvesters on the market have similar functions and technologies, and lack differentiated competition. Some vegetable harvesters are not adaptable to different terrains, especially in rainy and mountainous areas, where their use is limited and affects the user experience of farmers. In addition, the after-sales service network in some areas is not sound, and the supply of accessories is not timely, which affects the user experience. High-performance vegetable harvesters are expensive and not easily accepted by small-scale farmers. The emission levels of some vegetable harvesters fail to meet the latest national environmental protection standards, and they cause great harm to the environment during production and use. The lack of market promotion efforts for some new technologies and new products has led to low awareness of new vegetable harvesters among farmers. China's vegetable harvester companies have made certain progress in technological innovation, product diversification, and intelligent level, but they still face challenges such as insufficient technological innovation capabilities, fierce market competition, and product adaptability and environmental protection performance that need to be improved. Summary of the invention

[0004] In order to overcome the above problems or at least partially solve the above problems, the present invention provides an intelligent and efficient vegetable leaf removing harvester control system and method. By integrating artificial intelligence technology, the lettuce harvester can automatically identify old leaves and remove them, further improving its intelligence level and operational convenience.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] In a first aspect, the present invention provides an intelligent and efficient vegetable defoliating harvester control system, comprising a distance judgment module, a defoliating control module, a collection control module and a threshold comparison module, wherein:

[0007] A distance judgment module is used to detect the distance between the harvester and the vegetable plants, generate and judge whether the harvester is within the preset harvesting distance of the vegetable plants based on the detection result, and if the harvester is within the preset harvesting distance, send a harvesting signal to the harvester to control the harvester to start harvesting;

[0008] The control defoliation module is used to collect images of harvested vegetable plants, compare the images of the vegetable plants with preset reference vegetable plant images, and generate a comparison result; generate and send a defoliation control signal to the harvester according to the comparison result, and control the harvester to perform defoliation processing;

[0009] The control collection module is used to generate and send a collection signal to the harvester after the defoliation process is completed, and control the harvester to collect the vegetables after the defoliation; and judge the weight of the collected vegetables based on the pressure sensor to generate a weight judgment result;

[0010] The threshold comparison module is used to compare the weight judgment result with the preset threshold. If the weight of the collected vegetables reaches the preset threshold, a warning signal is generated and sent to the buzzer to turn on the alarm, and a stop harvesting signal is sent to control the harvester to suspend harvesting.

[0011] The present invention realizes the operation of the entire working system through the cooperation of ultrasonic and visual sensors with programming, thereby ensuring that the harvester can accurately complete the harvesting of lettuce and is safe during the operation process. First, based on the distance judgment module, it is used to detect the distance between the harvester and the vegetable plant based on the image recognition system, generate and judge whether the harvester is within the preset vegetable plant harvesting distance based on the detection result. If the harvester is within the preset harvesting distance, a harvesting signal is sent to the harvester to control the harvester to start harvesting; the defoliation control module is used to collect the image of the harvested vegetable plant, and compare the image of the vegetable plant with the preset reference vegetable plant image to generate a comparison result; according to the comparison result, a defoliation control signal is generated and sent to the harvester to control the harvester to perform defoliation processing; the collection control module is used to generate and send a collection signal to the harvester after the defoliation processing is completed, and control the harvester to collect the defoliated vegetables; and the weight of the collected vegetables is judged based on the pressure sensor to generate a weight judgment result; the threshold comparison module is used to compare the weight judgment result with the preset threshold. If the weight of the collected vegetables reaches the preset threshold, a warning signal is generated and sent to the buzzer to turn on the alarm, and a stop harvesting signal is sent to control the harvester to suspend harvesting. The present invention integrates artificial intelligence technology to enable the lettuce harvester to automatically identify old leaves and remove them, thereby further improving its intelligence level and operational convenience.

[0012] Based on the first aspect, further, the above-mentioned distance judgment module is also used to judge whether the harvester is within the preset vegetable plant harvesting distance based on the detection result. If the harvester is not within the preset harvesting distance, a position adjustment signal is sent to control the harvester to adjust the position.

[0013] Based on the first aspect, further, the distance judgment module is also used to control the harvester to adjust its position to within a preset vegetable plant harvesting distance based on an infrared remote controller.

[0014] Based on the first aspect, further, the above-mentioned threshold comparison module is also used to compare the weight judgment result with the preset threshold. If the weight of the collected vegetables does not reach the preset threshold, a harvesting signal is sent to the harvester to control the harvester to continue harvesting until the weight of the vegetables reaches the preset threshold.

[0015] In a second aspect, the present invention provides an intelligent and efficient vegetable defoliating harvester control method, comprising the following steps:

[0016] S1, detecting the distance between the harvester and the vegetable plants, generating and judging whether the harvester is within a preset harvesting distance of the vegetable plants based on the detection result, and if the harvester is within the preset harvesting distance, sending a harvesting signal to the harvester to control the harvester to start harvesting;

[0017] S2, collecting images of harvested vegetable plants, and comparing the images of the vegetable plants with preset reference vegetable plant images to generate a comparison result; generating and sending a defoliation control signal to a harvester according to the comparison result to control the harvester to perform defoliation processing;

[0018] S3. When the defoliation process is completed, a collection signal is generated and sent to the harvester to control the harvester to collect the defoliated vegetables; and the weight of the collected vegetables is judged based on the pressure sensor to generate a weight judgment result;

[0019] S4. Compare the weight judgment result with the preset threshold value. If the weight of the collected vegetables reaches the preset threshold value, generate and send a warning signal to the buzzer, turn on the alarm, and send a stop harvesting signal to control the harvester to suspend harvesting.

[0020] The present invention realizes the operation of the entire working system through the cooperation of ultrasonic and visual sensors with programming, thereby ensuring that the harvester can accurately complete the harvesting of lettuce and is safe during the operation process. First, the distance between the harvester and the vegetable plants is detected based on the image recognition system, and it is generated and judged based on the detection result whether the harvester is within the preset harvesting distance of the vegetable plants. If the harvester is within the preset harvesting distance, a harvesting signal is sent to the harvester to control the harvester to start harvesting; then the image of the harvested vegetable plants is collected, and the image of the vegetable plants is compared with the preset reference vegetable plant image to generate a comparison result; according to the comparison result, a defoliation control signal is generated and sent to the harvester to control the harvester to perform defoliation; when the defoliation is completed, a collection signal is generated and sent to the harvester to control the harvester to collect the defoliated vegetables; and the weight of the collected vegetables is judged based on the pressure sensor to generate a weight judgment result; finally, the weight judgment result is compared with the preset threshold value. If the weight of the collected vegetables reaches the preset threshold value, a warning signal is generated and sent to the buzzer to turn on the alarm, and a stop harvesting signal is sent to control the harvester to suspend harvesting. The present invention integrates artificial intelligence technology to enable the lettuce harvester to automatically identify old leaves and remove them, thereby further improving its intelligence level and operational convenience.

[0021] Based on the second aspect, further, the above-mentioned judging whether the harvester is within a preset vegetable plant harvesting distance based on the detection result further includes:

[0022] If the harvester is not within the preset harvesting distance, a position adjustment signal is sent to control the harvester to adjust its position.

[0023] Based on the second aspect, further, the sending of the position adjustment signal to control the harvester to adjust the position includes:

[0024] The infrared remote controller controls the harvester to adjust its position to within the preset harvesting distance of the vegetable plants.

[0025] Based on the second aspect, further, the above-mentioned comparing the weight determination result with a preset threshold value also includes:

[0026] If the weight of the collected vegetables does not reach a preset threshold, a harvesting signal is sent to the harvester to control the harvester to continue harvesting until the weight of the vegetables reaches a preset threshold.

[0027] In a third aspect, the present application provides an electronic device, comprising a memory for storing one or more programs; a processor; when the one or more programs are executed by the processor, the method as described in any one of the second aspects above is implemented.

[0028] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in any one of the second aspects above.

[0029] The present invention has at least the following advantages or beneficial effects:

[0030] 1. Through the intelligent and efficient vegetable harvesting and leaf removal system of the present invention, various parameters of the harvester can be monitored and adjusted to adapt to lettuces in different growth states, harvest them, and achieve integrated removal of old lettuce leaves.

[0031] 2. The present invention is used to monitor the operation of the harvester in real time, and the state of the harvester can be queried and adjusted at any time to realize the operation of the entire working system, which can ensure that the harvester can accurately complete the harvesting of lettuce and is safe during operation.

[0032] 3. The system of the present invention can monitor the growth environment and conditions of crops in real time, improve data transmission efficiency, and enhance the ability to resist agricultural production risks. The monitoring function system can monitor the plant growth environment information in real time to achieve effective harvesting of lettuce. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 This is a principle block diagram of an intelligent and efficient vegetable defoliating harvester control system according to an embodiment of the present invention;

[0035] Figure 2 This is a flow chart of an intelligent and efficient vegetable defoliating harvester control method according to an embodiment of the present invention;

[0036] Figure 3 A structural block diagram of an electronic device provided by an embodiment of the present invention.

[0037] Explanation of the reference numerals: 100, distance judgment module; 200, leaf removal control module; 300, collection control module; 400, threshold comparison module; 101, memory; 102, processor; 103, communication interface. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0039] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0041] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0042] In the description of the embodiments of the present invention, "plurality" means at least 2.

[0043] Example:

[0044] like Figure 1 As shown, this embodiment provides an intelligent and efficient vegetable defoliating harvester control system, including a distance judgment module 100, a defoliation control module 200, a control collection module 300 and a threshold comparison module 400, wherein:

[0045] The distance judgment module 100 is used to detect the distance between the harvester and the vegetable plants, generate and judge whether the harvester is within the preset harvesting distance of the vegetable plants based on the detection result, and if the harvester is within the preset harvesting distance, send a harvesting signal to the harvester to control the harvester to start harvesting;

[0046] The control defoliation module 200 is used to collect images of harvested vegetable plants, compare the images of the vegetable plants with preset reference vegetable plant images, and generate a comparison result; generate and send a defoliation control signal to the harvester according to the comparison result, and control the harvester to perform defoliation processing;

[0047] The present invention adopts the stm32 microcontroller as the defoliation control board, which has powerful performance and flexibility and can meet the control requirements of our machines. Agricultural machines need to respond quickly to environmental changes and be able to adjust the harvesting speed or steering, etc.; the stm32 chip can provide fast real-time response capabilities to ensure that the machine can adapt to different working conditions in a timely manner. And the stm32 chip adopts advanced low-power design, which can effectively save energy under long-term operation, extend the use time of the machine, and reduce operating costs. The stm32 chip integrates a wealth of peripherals and communication interfaces, such as PWM output, ADC, UART, SPI, I2C, etc., which can meet the machine's connection and control requirements for various sensors and actuators. The stm32 chip also has a good cost-effectiveness. Compared with other high-end microcontroller chips, they are lower in cost and suitable for the application of small and medium-sized agricultural machines.

[0048] The control collection module 300 is used to generate and send a collection signal to the harvester after the defoliation process is completed, so as to control the harvester to collect the vegetables after defoliation; and to judge the weight of the collected vegetables based on the pressure sensor and generate a weight judgment result;

[0049] The threshold comparison module 400 is used to compare the weight judgment result with the preset threshold. If the weight of the collected vegetables reaches the preset threshold, a warning signal is generated and sent to the buzzer to turn on the alarm, and a stop harvesting signal is sent to control the harvester to suspend harvesting.

[0050] The present invention realizes the operation of the entire working system through the cooperation of ultrasonic and visual sensors with programming, ensuring that the harvester can accurately complete the harvesting of lettuce and is safe during operation. First, based on the distance judgment module 100, it is used to detect the distance between the harvester and the vegetable plant based on the image recognition system, and generate and judge whether the harvester is within the preset harvesting distance of the vegetable plant based on the detection result. If the harvester is within the preset harvesting distance, a harvesting signal is sent to the harvester to control the harvester to start harvesting; control the defoliation module 200, which is used to collect the image of the harvested vegetable plant, and compare the image of the vegetable plant with the preset reference vegetable plant image to generate a comparison result; generate and send a defoliation control signal to the harvester based on the comparison result. The control collection module 300 is used to generate and send a collection signal to the harvester after the defoliation is completed, and control the harvester to collect the vegetables after defoliation; and the weight of the collected vegetables is judged based on the pressure sensor to generate a weight judgment result; the threshold comparison module 400 is used to compare the weight judgment result with the preset threshold. If the weight of the collected vegetables reaches the preset threshold, an early warning signal is generated and sent to the buzzer, an alarm is turned on, and a stop harvesting signal is sent to control the harvester to suspend harvesting. The present invention integrates artificial intelligence technology to enable the lettuce harvester to automatically identify old leaves and remove them, further improving its intelligence level and ease of operation.

[0051] 5G technology, or the fifth generation of mobile communication technology, is a new generation of broadband mobile communication technology with the characteristics of high speed, low latency and large connection. This technology is used in this application to realize the digitization and intelligence of lettuce harvesting. Use 5G technology to collect and process a large amount of real-time data, including weather, land, irrigation, disaster prevention, pests and diseases and other information, and enjoy the convenience brought by the lettuce harvester; 5G provides a low-latency network experience to avoid losses caused by communication delays. 5G technology has higher fault tolerance and information security, providing safer and more reliable protection for information transmission in smart agriculture. At the same time, 5G technology can also realize real-time early warning and monitoring of the crop production management process, avoid losses caused by accidents, and improve the stability and sustainability of management.

[0052] In one embodiment, the distance judgment module 100 is also used to judge whether the harvester is within a preset vegetable plant harvesting distance based on the detection results. If the harvester is not within the preset harvesting distance, a position adjustment signal is sent to control the harvester to adjust its position.

[0053] In one embodiment, the distance determination module 100 is also used to control the harvester to adjust its position to within a preset vegetable plant harvesting distance based on an infrared remote controller.

[0054] In one of the embodiments, the threshold comparison module 400 is also used to compare the weight judgment result with a preset threshold. If the weight of the collected vegetables does not reach the preset threshold, a harvesting signal is sent to the harvester to control the harvester to continue harvesting until the weight of the vegetables reaches the preset threshold.

[0055] See also Figure 2 The embodiment of the present invention provides an intelligent and efficient vegetable defoliating harvester control method, comprising the following steps:

[0056] S1, detecting the distance between the harvester and the vegetable plants, generating and judging whether the harvester is within a preset harvesting distance of the vegetable plants based on the detection result, and if the harvester is within the preset harvesting distance, sending a harvesting signal to the harvester to control the harvester to start harvesting;

[0057] S2, collecting images of harvested vegetable plants, and comparing the images of the vegetable plants with preset reference vegetable plant images to generate a comparison result; generating and sending a defoliation control signal to a harvester according to the comparison result to control the harvester to perform defoliation processing;

[0058] S3. When the defoliation process is completed, a collection signal is generated and sent to the harvester to control the harvester to collect the defoliated vegetables; and the weight of the collected vegetables is judged based on the pressure sensor to generate a weight judgment result;

[0059] S4. Compare the weight judgment result with the preset threshold value. If the weight of the collected vegetables reaches the preset threshold value, generate and send a warning signal to the buzzer, turn on the alarm, and send a stop harvesting signal to control the harvester to suspend harvesting.

[0060] The present invention realizes the operation of the entire working system through the cooperation of ultrasonic and visual sensors with programming, thereby ensuring that the harvester can accurately complete the harvesting of lettuce and is safe during the operation process. First, the distance between the harvester and the vegetable plants is detected based on the image recognition system, and it is generated and judged based on the detection result whether the harvester is within the preset harvesting distance of the vegetable plants. If the harvester is within the preset harvesting distance, a harvesting signal is sent to the harvester to control the harvester to start harvesting; then the image of the harvested vegetable plants is collected, and the image of the vegetable plants is compared with the preset reference vegetable plant image to generate a comparison result; according to the comparison result, a defoliation control signal is generated and sent to the harvester to control the harvester to perform defoliation; when the defoliation is completed, a collection signal is generated and sent to the harvester to control the harvester to collect the defoliated vegetables; and the weight of the collected vegetables is judged based on the pressure sensor to generate a weight judgment result; finally, the weight judgment result is compared with the preset threshold value. If the weight of the collected vegetables reaches the preset threshold value, a warning signal is generated and sent to the buzzer to turn on the alarm, and a stop harvesting signal is sent to control the harvester to suspend harvesting. The present invention integrates artificial intelligence technology to enable the lettuce harvester to automatically identify old leaves and remove them, thereby further improving its intelligence level and operational convenience.

[0061] In one embodiment, judging whether the harvester is within a preset harvesting distance of vegetable plants based on the detection result further includes:

[0062] If the harvester is not within the preset harvesting distance, a position adjustment signal is sent to control the harvester to adjust its position.

[0063] In one embodiment, sending a position adjustment signal to control the harvester to adjust the position includes:

[0064] The infrared remote controller controls the harvester to adjust its position to within the preset harvesting distance of the vegetable plants.

[0065] This application uses the infrared remote control of the 51 single-chip microcomputer to realize the movement of the harvester. The 51 single-chip microcomputer is a classic 8-bit microcontroller with a simple architecture and an easy-to-understand instruction set. For some simple control tasks, it is more convenient to use the 51 single-chip microcomputer because they do not require too complex programming skills. The cost of the 51 single-chip microcomputer is relatively low, which is suitable for projects with limited budgets. Although the performance of the 51 single-chip microcomputer is lower than that of a 32-bit microcontroller, its response speed may be more reliable in some applications that require real-time response, which may be an advantage for controlling the forward, backward, left and right motion systems of the machine, especially in environments that require fast response. It has existed for decades and has a mature and stable ecosystem and rich support resources.

[0066] In one embodiment, comparing the weight determination result with a preset threshold value further includes:

[0067] If the weight of the collected vegetables does not reach a preset threshold, a harvesting signal is sent to the harvester to control the harvester to continue harvesting until the weight of the vegetables reaches a preset threshold.

[0068] like Figure 3 As shown, in a third aspect, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs and a processor 102. When the one or more programs are executed by the processor 102, any method in the second aspect described above is implemented.

[0069] The memory 101, the processor 102 and the communication interface 103 are directly or indirectly electrically connected to each other to achieve data transmission or interaction. For example, these elements can be electrically connected to each other through one or more communication buses or signal lines. The memory 101 can be used to store software programs and modules, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 101. The communication interface 103 can be used to communicate signaling or data with other node devices.

[0070] Among them, the memory 101 can be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), etc.

[0071] The processor 102 may be an integrated circuit chip with signal processing capability. The processor 102 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0072] In the embodiments provided in the present application, it should be understood that the disclosed method and system can also be implemented in other ways. The method and system embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the method and system, method and computer program product according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0073] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0074] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by the processor 102, a method as in any one of the second aspects described above is implemented. If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application is essentially or part of the contribution to the prior art or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform 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, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk.

[0075] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0076] It will be apparent to those skilled in the art that the present application is not limited to the details of the exemplary embodiments described above, and that the present application can be implemented in other specific forms without departing from the spirit or essential features of the present application. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present application. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An intelligent and efficient vegetable defoliating harvester control system, characterized in that: It includes a distance judgment module, a leaf removal control module, a collection control module and a threshold comparison module, wherein: A distance judgment module is used to detect the distance between the harvester and the vegetable plants, generate and judge whether the harvester is within the preset harvesting distance of the vegetable plants based on the detection result, and if the harvester is within the preset harvesting distance, send a harvesting signal to the harvester to control the harvester to start harvesting; The control defoliation module is used to collect images of harvested vegetable plants, compare the images of the vegetable plants with preset reference vegetable plant images, and generate a comparison result; generate and send a defoliation control signal to the harvester according to the comparison result, and control the harvester to perform defoliation processing; The control collection module is used to generate and send a collection signal to the harvester after the defoliation process is completed, and control the harvester to collect the vegetables after the defoliation; and judge the weight of the collected vegetables based on the pressure sensor to generate a weight judgment result; The threshold comparison module is used to compare the weight judgment result with the preset threshold. If the weight of the collected vegetables reaches the preset threshold, a warning signal is generated and sent to the buzzer to turn on the alarm, and a stop harvesting signal is sent to control the harvester to suspend harvesting; The threshold comparison module is also used to compare the weight judgment result with the preset threshold. If the weight of the collected vegetables does not reach the preset threshold, a harvesting signal is sent to the harvester to control the harvester to continue harvesting until the weight of the vegetables reaches the preset threshold.

2. According to claim 1, an intelligent and efficient vegetable defoliating harvester control system is characterized in that: The distance judgment module is also used to judge whether the harvester is within a preset vegetable plant harvesting distance based on the detection result. If the harvester is not within the preset harvesting distance, a position adjustment signal is sent to control the harvester to adjust its position.

3. The intelligent and efficient vegetable defoliating harvester control system according to claim 2 is characterized in that: The distance judgment module is also used to control the harvester to adjust its position to within a preset vegetable plant harvesting distance based on the infrared remote controller.

4. An intelligent and efficient vegetable defoliating harvester control method, characterized in that: The following steps are involved: S1, detecting the distance between the harvester and the vegetable plants, generating and judging whether the harvester is within a preset harvesting distance of the vegetable plants based on the detection result, and if the harvester is within the preset harvesting distance, sending a harvesting signal to the harvester to control the harvester to start harvesting; S2, collecting images of harvested vegetable plants, and comparing the images of the vegetable plants with preset reference vegetable plant images to generate a comparison result; generating and sending a defoliation control signal to a harvester according to the comparison result to control the harvester to perform defoliation processing; S3, when the leaf removal process is completed, generating and sending a collection signal to the harvester, controlling the harvester to collect the vegetables after leaf removal; And judging the weight of the collected vegetables based on the pressure sensor, generating a weight judgment result; S4, comparing the weight judgment result with a preset threshold value, if the weight of the collected vegetables reaches the preset threshold value, generating and sending a warning signal to the buzzer, turning on the alarm, and sending a stop harvesting signal to control the harvester to suspend harvesting; The step of comparing the weight determination result with a preset threshold value further includes: If the weight of the collected vegetables does not reach a preset threshold, a harvesting signal is sent to the harvester to control the harvester to continue harvesting until the weight of the vegetables reaches a preset threshold.

5. The intelligent and efficient vegetable defoliating harvester control method according to claim 4 is characterized in that: The method of judging whether the harvester is within a preset vegetable plant harvesting distance based on the detection result further includes: If the harvester is not within the preset harvesting distance, a position adjustment signal is sent to control the harvester to adjust its position.

6. The intelligent and efficient vegetable defoliating harvester control method according to claim 5 is characterized in that: The sending of the position adjustment signal to control the harvester to adjust the position comprises: The infrared remote controller controls the harvester to adjust its position to within the preset harvesting distance of the vegetable plants.

7. An electronic device, characterized in that: include: A memory for storing one or more programs; processor; When the one or more programs are executed by the processor, the method according to any one of claims 4 to 6 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 4 to 6 is implemented.

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