A pest control device and method based on greenhouse vegetable planting

Abstract

The application discloses a kind of pest control equipment and control method based on greenhouse vegetable planting, belong to agricultural pest control field.The technical scheme for the application is a kind of pest control equipment based on greenhouse vegetable planting, including monitoring and early warning module, physical control module, biological control module and intelligent control module, the monitoring and early warning module includes insect situation forecasting mechanism;The application realizes real-time monitoring and early warning by a variety of trapping methods and AI algorithm, combines physical control and biological control means, and realizes automatic regulation by intelligent control module, so as to solve the problems of not timely monitoring, single control means, lack of intelligent control in the prior art, with the advantages of real-time monitoring and early warning, multiple control means synergistic effect, intelligent control, precise control.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of agricultural pest control, and specifically relates to a pest control device and method based on greenhouse vegetable planting. BACKGROUND

[0002] Greenhouse vegetable planting is an important way of modern agricultural production, which can effectively control the growth environment of crops and improve yield and quality. However, the high temperature and high humidity environment in the greenhouse provides favorable conditions for the reproduction of pests, resulting in a variety of pests, rapid reproduction, and serious damage. Common pests include aphids, whiteflies, thrips, red spiders, and noctuid pests, which not only directly harm vegetable growth but also can spread viral diseases, causing serious economic losses.

[0003] Currently, the control of pests in greenhouses mainly relies on chemical pesticides. Although chemical pesticides can quickly kill pests, there are still some outstanding problems. First, the control means is single and the effect is poor. Traditional chemical control methods often only target one or a few pests, making it difficult to comprehensively cover the various pests in the greenhouse. In addition, long-term use of a single pesticide can easily lead to pest resistance, reducing the control effect. Second, the existing pest monitoring and control work mainly relies on manual completion, which not only has high labor intensity but also low efficiency, making it difficult to achieve precise control. Finally, the overuse of chemical pesticides can lead to excessive pesticide residues, seriously affecting the safety and quality of agricultural products, and also posing potential threats to the environment and human health.

[0004] In order to solve the above problems, in recent years, physical control and biological control technologies have gradually attracted attention. Physical control technology (such as light trapping, color plate trapping, sex pheromone trapping, etc.) can effectively reduce the number of pests, but single use of physical control methods is difficult to achieve long-term control. Biological control technology (such as releasing natural enemy insects, using microbial preparations, etc.) has the advantages of environmental protection and sustainability, but its effect is greatly influenced by environmental conditions and pest density, and it is difficult to quickly reduce pest density when used alone.

[0005] In addition, the existing pest control technology also has the following shortcomings: lack of real-time monitoring and early warning system, unable to timely discover pest threats; lack of targeted control measures, difficult to adopt appropriate control strategies according to different pest species and quantities; lack of intelligent control system, unable to achieve automation and precision control; difficult to realize the organic combination of multiple control methods, unable to exert the synergistic effect of various control methods. SUMMARY

[0006] The present application provides a pest control device and method based on greenhouse vegetable planting to solve at least one of the above technical problems.

[0007] The technical solution adopted by the present application is:

[0008] A pest control device based on greenhouse vegetable planting, comprising a monitoring and early warning module, a physical control module, a biological control module and an intelligent control module, the monitoring and early warning module comprises a pest situation forecasting mechanism, the pest situation forecasting mechanism comprises a light source trapping module, a color plate trapping module, a sex pheromone trapping module and a food trapping module attached to the ground, which are sequentially arranged from top to bottom according to the habits of pests; further comprising a camera for shooting image data of pests trapped by the light source trapping module, the color plate trapping module, the sex pheromone trapping module and the food trapping module, and a data processing unit; the physical control module comprises a multi-band LED light source arranged at the top of the greenhouse and a sex pheromone releasing device arranged slidingly along the depth direction of the greenhouse; the biological control module comprises a natural enemy insect releasing device and a microbial preparation spraying device arranged slidingly along the depth direction of the greenhouse; the intelligent control module comprises a central controller, a data storage unit and a remote communication module.

[0009] As a preferred, it further comprises an LED display screen for displaying pest data in the greenhouse.

[0010] As a preferred, the camera shoots images and identifies the species and quantity of pests through AI algorithm, and the data processing unit is used for analyzing the monitoring data of the camera to generate a real-time monitoring report of the species and quantity of pests; the central controller automatically adjusts the working state of the physical control module and the biological control module according to the monitoring data analyzed by the data processing unit.

[0011] As a preferred, the data storage unit is used for storing pest data, and the data processing unit analyzes the occurrence regularity of pests according to the historical data recorded by the storage unit to further generate an early warning report, which is transmitted to the LED display screen and / or mobile phone APP and / or SMS to notify the user.

[0012] As a preferred, the physical control module further comprises color plates arranged continuously on both sides of the plants along the depth direction of the greenhouse, the color plates are yellow and / or blue, the color plates are of a groove structure, and the color plates are coated with an adhesive agent.

[0013] A pest control method based on greenhouse vegetable planting, the specific steps are as follows: S1, arranging a plurality of monitoring and early warning modules at equal intervals along the depth direction of the greenhouse; S2, starting the light source trapping module, the color plate trapping module, the sex pheromone trapping module and the food trapping module attached to the ground to trap pests; S3, the camera shoots and records image data information of trapped pests, and uploads the data information to the data processing unit, which identifies and analyzes the data to obtain a real-time monitoring report of the specific species and quantity of pests through AI algorithm; S4, the central controller automatically adjusts the working state of the physical control module and the biological control module according to the data analyzed by the data processing unit.

[0014] As preferred, the data storage unit stores pest data, the data processing unit analyzes historical data stored in the data storage unit to derive the occurrence regularity of pests, and further generates a warning report, in S3, the data processing unit analyzes the derived real-time monitoring report and the warning report, and both can be transmitted to the LED display screen and / or the mobile phone APP and / or the SMS through the remote communication module to notify the user.

[0015] As preferred, the adjustment steps for the working state of the light source trapping module and the sex pheromone trapping module are as follows: Step one: the central controller adjusts the light intensity, wavelength and color of the multi-band LED light source in the corresponding area according to the 3-5 kinds of pests with the largest number in the pest data analyzed by each data processing unit, so that the multi-band LED light source can kill the most numerous pests in the greenhouse for the first time; Step two: the central controller drives the sex pheromone releasing device to slide along the depth direction of the greenhouse and releases the sex pheromone corresponding to the pest species according to the change of the number distribution of the pests; Step three: the central controller drives the biological control module to slide to the sex pheromone releasing area and drives the natural enemy insect releasing device to release a corresponding amount of natural enemy insects according to the amount of sex pheromone release, while driving the microbial agent spraying device to spray a corresponding amount of microbial agent.

[0016] As preferred, in step one, the multi-band LED light source is set to blue light 450nm or green light 520nm.

[0017] As preferred, chemical control means are used for auxiliary pest control, and the specific steps are as follows: Step one: a threshold value is set in the data processing unit, and when the number of pests monitored by any monitoring and warning module exceeds the threshold value, the monitoring and warning module sends alarm information to the user to enable the user to quickly respond by spraying imidacloprid or abamectin, and the amount and range of imidacloprid or abamectin are dynamically adjusted according to the monitoring data; Step two: the spraying time is recorded to ensure that the vegetables are harvested after the safety interval.

[0018] Due to the adoption of the above technical solutions, the application has the following beneficial effects:

[0019] 1. The monitoring and warning module can effectively monitor the situation of various pests in the greenhouse by combining light source trapping, color plate trapping, sex pheromone trapping and food trapping. The combination of physical control module and biological control module can not only quickly reduce the number of pests, but also long-term control the reproduction of pests. The automatic management of the intelligent control module improves the efficiency and accuracy of pest control, reduces the dependence on chemical pesticides, and ensures the safety of agricultural products.

[0020] The central controller can control the amount of sex pheromone released by the sex pheromone release device according to the key area of pest distribution, that is, the more concentrated the pests are in an area, the more sex pheromone the sex pheromone release device releases in that area. After the pests in the area are attracted to the area by the sex pheromone, the natural enemy insect release device and the microbial preparation spraying device in the biological control module release natural enemy insects and spray microbial preparations to more accurately and efficiently control the reproduction and spread of pests. From another perspective, when pests are concentrated in a certain area under the guidance of sex pheromones, they can provide sufficient food for the released natural enemy insects, thereby promoting the growth, development, and reproduction of natural enemy insects. The two work together to greatly improve the efficiency and effectiveness of pest control.

[0021] 2. By using multi-band LED light sources of specific wavelengths, the pest control device's control effect can be significantly improved. Compared with traditional chemical control methods, this physical control method is more environmentally friendly and safe, reducing the use of pesticides and the impact of pesticide residues on agricultural products and the environment. By reasonably selecting and adjusting the wavelength and light intensity of the LED light source, precise control of different types of pests can be achieved, improving the efficiency and effectiveness of control. It is worth mentioning that research data shows that blue light 450nm and green light 520nm have an auxiliary effect on the development of natural enemy insect eggs, the growth of adult insects, and egg laying. The number of natural enemy insect eggs laid under blue light 450nm and green light 520nm is about 20% higher than under natural light intensity, thereby achieving mutual synergy between physical control and biological control in pest control, greatly reducing the pest control period and improving the efficiency of pest control.

[0022] 3. By combining cameras and AI algorithms, automatic identification and real-time monitoring of pest species and quantity are achieved, avoiding the inefficiency and errors of manual monitoring. The central controller automatically adjusts the working state of the control module based on real-time monitoring data, improving the accuracy and efficiency of control, reducing the use of chemical pesticides, and improving the safety of agricultural products. Compared with the prior art, the scheme of the present application can comprehensively cover various pests in the greenhouse, achieve precise pest control, and solve the problems of poor effect of traditional chemical control methods and serious pesticide residues.

[0023] The data storage unit records pest data and stores these data. The data processing unit analyzes the stored historical data to obtain the occurrence regularity of pests. Based on these regularities, a warning report is generated. The warning report is transmitted to the LED display screen and / or mobile phone APP and / or SMS through the remote communication module to notify the user. The implementation of this technical scheme enables the user to timely understand the occurrence of pests and take appropriate control measures.

[0024] The technical solution of the present application is that through the cooperative work of the data storage unit and the data processing unit, historical data is analyzed, a warning report is generated, and the warning information is transmitted to the user through the remote communication module. The data storage unit can use conventional storage devices such as hard disks, solid state disks, etc. The data processing unit can use existing computer processors and algorithms for data analysis. The remote communication module can send the warning information to the user's terminal device such as LED display screen, mobile phone APP or notify the user through SMS through wireless communication technology such as Wi-Fi, cellular network, etc.

[0025] Compared with the prior art, the technical solution of the present application has the following advantages: through the analysis of historical data, the occurrence of pests can be warned in advance, the timeliness and effectiveness of prevention and control are improved; the warning report is transmitted through the remote communication module, the user can receive the warning information in time, and it is convenient to take measures quickly; the dependence on manual monitoring is reduced, and the prevention and control efficiency is improved; through intelligent data analysis and warning, the use of chemical pesticides is reduced, and the safety and quality of agricultural products are improved.

[0026] 4. The physical control module of the pest control device uses the attraction of yellow and blue to pests by setting continuous color plates on both sides of the plant, further improving the trapping efficiency of pests. The slot structure of the color plate and the coated sticky adhesive ensure that the pests are stuck once they come into contact, thereby increasing the capture rate. In this way, the physical control module not only effectively reduces the number of pests, but also to some extent reduces the dependence of pests on chemical pesticides and improves the control effect. BRIEF DESCRIPTION OF DRAWINGS

[0027] Fig. 1 is a structural schematic diagram of the specific embodiment of the present application;

[0028] Fig. 2 is a structural schematic diagram of the pest situation forecasting mechanism in the specific embodiment of the present application;

[0029] Fig. 3 is a structural schematic diagram of the physical control module and the biological control module in the specific embodiment of the present application.

[0030] The accompanying drawings described herein are used to provide further understanding of the present application, and form a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application, and do not constitute an improper limitation on the present application.

[0031] In the drawings:

[0032] 1, pest monitoring mechanism; 11, light source trapping module; 12, color plate trapping module; 13, sex pheromone trapping module; 14, food trapping module; 2, multi-band LED light source; 3, sex pheromone release device; 4, natural enemy insect release device; 5, microbial preparation spraying device; 6, intelligent control module; 7, LED display screen. DETAILED DESCRIPTION

[0033] In order to more clearly illustrate the overall concept of the present application, the following will be described in detail with reference to the accompanying drawings.

[0034] In the following description, a large number of specific details are set forth in order to facilitate a thorough understanding of the present application, but the present application can also be implemented in other ways different from those described herein, and therefore the scope of protection of the present application is not limited by the specific embodiments disclosed below.

[0035] In addition, in the description of the present application, it should be understood that the terms "top", "bottom", "inner", "outer", "axial", "radial", "circumferential" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0036] In the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting", "fixing" and the like should be understood broadly, for example, it can be fixed connection, or detachable connection, or integral; it can be mechanical connection, or electrical connection, or communication; it can be direct connection, or indirect connection through intermediate medium, or internal communication of two elements or interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0037] In the present application, unless otherwise explicitly specified and limited, the first feature is "on" or "under" the second feature, which can be direct contact between the first and second features, or indirect contact between the first and second features through an intermediate medium. In the description of the specification, the description of the terms "embodiment", "example", "one embodiment", "exemplary" or "specific example" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0038] Referring toFigs. 1-3 A pest control device based on greenhouse vegetable planting, comprising a monitoring and early warning module, a physical control module, a biological control module, and an intelligent control module 6. The monitoring and early warning module comprises a pest situation forecasting mechanism 1, which comprises a light source trapping module 11, a color plate trapping module 12, a sex pheromone trapping module 13, and a food trapping module 14 attached to the ground, arranged from top to bottom according to the habits of pests; it also comprises a camera for shooting image data of trapped pests in the light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14, and a data processing unit. The physical control module comprises a multi-band LED light source 2 arranged at the top of the greenhouse and a sex pheromone release device 3 arranged slidingly along the depth direction of the greenhouse. The biological control module comprises a natural enemy insect release device 4 and a microbial preparation spraying device 5 arranged slidingly along the depth direction of the greenhouse. The intelligent control module 6 comprises a central controller, a data storage unit, and a remote communication module.

[0039] As understood by those skilled in the art, greenhouse vegetable planting is an important way of modern agricultural production, which can effectively control the growth environment of crops and improve yield and quality. However, the high temperature and high humidity environment in the greenhouse provides favorable conditions for the reproduction of pests, resulting in a large number of pest species, rapid reproduction, and serious damage. Common pests include aphids, whiteflies, thrips, red spiders, and noctuid pests, which not only directly harm vegetable growth but also may spread viral diseases, causing serious economic losses.

[0040] In order to solve the problem of a large number of pest species, rapid reproduction, and serious damage in the greenhouse, the present application proposes a pest control device based on greenhouse vegetable planting. The device monitors the pest situation in real time through the monitoring and early warning module, combines the physical control module and the biological control module, and automatically manages through the intelligent control module 6, thereby achieving precise pest control.

[0041] The light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14 in the monitoring and early warning module can effectively capture different types of pests. The camera shoots the image data of the captured pests and analyzes them through the data processing unit to generate a real-time monitoring report of the pest species and quantity. The multi-band LED light source 2 and the sex pheromone release device 3 in the physical control module further reduce the number of pests by adjusting the light intensity, wavelength, and sex pheromone release amount. The natural enemy insect release device 4 and the microbial preparation spraying device 5 in the biological control module control the reproduction and spread of pests by releasing natural enemy insects and spraying microbial preparations.

[0042] The intelligent control module 6 automatically adjusts the working state of the physical control module and the biological control module according to the monitoring data analyzed by the data processing unit through the central controller. The data storage unit is used to store pest data and analyze the occurrence regularity of pests according to historical data to generate a warning report which is transmitted to the LED display screen 7, mobile phone APP or SMS to notify the user.

[0043] The monitoring and warning module of the present application can effectively monitor the situation of various pests in the greenhouse by combining light source trapping, color plate trapping, sex pheromone trapping and food trapping. The combination of physical control module and biological control module not only can quickly reduce the number of pests, but also can long-term control the reproduction of pests. The automatic management of the intelligent control module 6 improves the efficiency and accuracy of pest control, reduces the dependence on chemical pesticides and ensures the safety of agricultural products.

[0044] It is worth mentioning that the central controller can control the amount of sex pheromone released by the sex pheromone release device 3 according to the key area of pest distribution, that is, the more concentrated the pests are in a certain area, the more sex pheromone the sex pheromone release device 3 releases. After the pests in the area are attracted to the area by the sex pheromone, the natural enemy insects release device 4 and the microbial preparation spraying device 5 in the biological control module release natural enemy insects and spray microbial preparations to more accurately and efficiently control the reproduction and spread of pests. From another perspective, when pests are concentrated in a certain area under the induction of sex pheromone, it can provide sufficient food for the released natural enemy insects, thereby promoting the growth, development and reproduction of natural enemy insects. The two work together to greatly improve the efficiency and effectiveness of pest control.

[0045] Further, the multi-band LED light source 2 is set to blue light 450nm or green light 520nm. This technical solution is based on the pest control equipment for greenhouse vegetable planting, which uses a multi-band LED light source 2 with a specific wavelength, i.e. blue light 450nm or green light 520nm. This specific wavelength of LED light source plays an important role in pest control. Blue light 450nm and green light 520nm can effectively attract and trap specific types of pests, thereby improving the control effect of the physical control module. In this way, the number of pests can be reduced, and the harm of pests to vegetables can be reduced.

[0046] Blue light 450nm can be used to attract aphids and whitefly, while green light 520nm is more suitable for trapping thrips and red spider mites. Therefore, by reasonably selecting and adjusting the wavelength of the LED light source, precise trapping and control of different pests can be achieved. In addition, these LED light sources can be installed on the top of the greenhouse, covering the entire greenhouse area, so as to ensure that the light source can effectively act on all pests in the greenhouse.

[0047] The technical solution of the present application can significantly improve the control effect of the pest control equipment by using a multi-band LED light source 2 with specific wavelengths. Compared with traditional chemical control methods, this physical control method is more environmentally friendly and safe, reducing the use of pesticides and reducing the impact of pesticide residues on agricultural products and the environment. By reasonably selecting and adjusting the wavelength and light intensity of the LED light source, precise control of different types of pests can be achieved, improving the efficiency and effectiveness of control. It is worth mentioning that research data shows that blue light 450nm and green light 520nm have an auxiliary effect on the development of enemy insect eggs, the growth of adult insects, and egg laying. The number of enemy insect eggs under the light intensity of blue light 450nm and green light 520nm is about 20% higher than that under natural light intensity, thereby realizing the mutual coordination between physical control and biological control in pest control effect, greatly reducing the pest control period and improving the efficiency of pest control.

[0048] The camera captures images and identifies the type and number of pests through AI algorithms. The data processing unit is used to analyze the monitoring data of the camera and generate real-time monitoring reports of the type and number of pests. The central controller automatically adjusts the working state of the physical control module and the biological control module based on the monitoring data analyzed by the data processing unit.

[0049] The camera is installed next to each trapping module in the greenhouse and is used to capture images of pests. Image data is transmitted to the data processing unit through a wireless network. The data processing unit analyzes the pest images based on AI algorithms to identify the type and number of pests and generate real-time monitoring reports. After receiving the monitoring reports, the central controller automatically adjusts the working state of the physical control module and the biological control module based on the pest data in the reports. For example, the central controller can adjust the light intensity and wavelength of the multi-band LED light source 2, or drive the sex pheromone release device 3 and the enemy insect release device 4 to work.

[0050] The camera can use a high-definition camera to ensure the clarity and accuracy of the captured images. The AI algorithm can include image recognition technology, machine learning technology, etc. to improve the accuracy of pest identification. The data processing unit can use high-performance processors and large-capacity memories to ensure the speed and efficiency of data processing. The central controller can be configured with intelligent control algorithms to automatically adjust the working state of each control module based on pest data to ensure control effectiveness.

[0051] The application realizes automatic identification and real-time monitoring of pest species and quantity through the combination of cameras and AI algorithms, avoiding the inefficiency and errors of manual monitoring. The central controller automatically adjusts the working state of the prevention and control module according to the real-time monitoring data, improving the accuracy and efficiency of prevention and control, reducing the use of chemical pesticides, and improving the safety of agricultural products. Compared with the prior art, the scheme of the application can comprehensively cover various pests in the greenhouse, realize accurate prevention and control of pests, and solve the problems of poor effect of traditional chemical control methods and serious pesticide residues.

[0052] As a preferred embodiment of the application, the data storage unit is used to store pest data, the data processing unit analyzes the occurrence regularity of pests according to the historical data recorded by the storage unit, and then generates a warning report, which is transmitted to the LED display screen 7 and / or the mobile phone APP and / or the short message to notify the user.

[0053] The technical scheme of the application records pest data through the data storage unit and stores these data. The data processing unit analyzes the historical data stored to obtain the occurrence regularity of pests. Based on these regularities, a warning report is generated. The warning report is transmitted to the LED display screen 7 and / or the mobile phone APP and / or the short message to notify the user. The implementation of this technical scheme can enable the user to timely understand the occurrence of pests and take appropriate control measures.

[0054] The core of the technical scheme of the application is that the data storage unit and the data processing unit work together to analyze historical data, generate a warning report, and deliver the warning information to the user through a remote communication module. The data storage unit can use conventional storage devices such as hard disks, solid state disks, etc. The data processing unit can use existing computer processors and algorithms for data analysis. The remote communication module can send warning information to the user's terminal device such as the LED display screen 7, the mobile phone APP or notify the user through the short message service through wireless communication technology such as Wi-Fi, cellular network, etc.

[0055] Compared with the prior art, the technical scheme of the application has the following advantages: through analysis of historical data, the occurrence of pests can be warned in advance, improving the timeliness and effectiveness of prevention and control; the warning report is transmitted through a remote communication module, and the user can receive the warning information in time, facilitating rapid measures; reducing the dependence on manual monitoring and improving the prevention and control efficiency; through intelligent data analysis and warning, the use of chemical pesticides is reduced, and the safety and quality of agricultural products are improved.

[0056] As a preferred example of the physical prevention and control module, the physical prevention and control module further includes color plates continuously arranged on both sides of the plants along the depth direction of the greenhouse, the color plates are yellow and / or blue, the color plates are of a groove structure, and the color plates are coated with an adhesive agent.

[0057] In greenhouse vegetable planting, the physical control module of the pest control device sets continuous color plates on both sides of the plants, uses the attraction of yellow and blue to pests, and further improves the capture efficiency of pests. The slot structure of the color plate and the coated sticky agent ensure that the pests are stuck once they come into contact, thereby increasing the capture rate. In this way, the physical control module not only effectively reduces the number of pests, but also reduces the dependence of pests on chemical pesticides to some extent, improving the control effect.

[0058] There are various implementation ways for the setting mode of the color plate. For example, the color plate can be made of different materials such as plastic or metal to ensure its durability and long-term use effect. The sticky agent can be selected in different types such as non-toxic and environmentally friendly type to ensure that it is harmless to vegetables and environment. The size and spacing of the color plate can be adjusted according to the specific situation of the greenhouse to achieve the best capture effect.

[0059] By adding the setting of color plates in the physical control module, the present application realizes multi-level capture of pests, further improving the overall effect of pest control. Compared with the prior art, the scheme of the present application not only improves the efficiency of pest capture, but also reduces the use of chemical pesticides, reduces the impact of pesticide residues on the safety of agricultural products, and has significant environmental and economic benefits.

[0060] The present application also proposes a pest control method based on greenhouse vegetable planting, and the specific steps are as follows:

[0061] A plurality of monitoring and early warning modules are arranged at equal intervals along the depth direction of the greenhouse. The light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14 attached to the ground are started to trap pests. The camera shoots and records the image data information of the captured pests, and uploads the data information to the data processing unit. The data processing unit identifies and analyzes the data to obtain a real-time monitoring report of the specific type and quantity of pests. The central controller automatically adjusts the working state of the physical control module and the biological control module according to the data analyzed by the data processing unit.

[0062] The method of the present application can realize comprehensive monitoring of pests in the entire greenhouse by arranging a plurality of monitoring and early warning modules at equal intervals along the depth direction of the greenhouse. The light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14 attached to the ground are started to trap pests, which can effectively capture different types of pests. The camera shoots and records image data of captured pests, and uploads the data information to the data processing unit. The data processing unit identifies and analyzes the real-time monitoring report of the specific type and quantity of pests through AI algorithm, which can realize accurate identification and quantity statistics of pests. The central controller automatically adjusts the working state of the physical control module and the biological control module according to the data analyzed by the data processing unit, which can take corresponding control measures according to the actual situation of pests and improve the control effect.

[0063] Specifically, the monitoring and early warning module includes a pest situation forecasting mechanism 1, which includes a light source trapping module 11, a color plate trapping module 12, a sex pheromone trapping module 13, and a food trapping module 14 attached to the ground, which are arranged from top to bottom according to the habits of pests. The camera shoots image data of trapped pests in the light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14, and transmits the data to the data processing unit for analysis. The physical control module includes a multi-band LED light source 2 arranged at the top of the greenhouse and a sex pheromone releasing device 3 arranged along the depth direction of the greenhouse. The biological control module includes a natural enemy insect releasing device 4 and a microbial agent spraying device 5 arranged along the depth direction of the greenhouse. The intelligent control module 6 includes a central controller, a data storage unit, and a remote communication module.

[0064] Therefore, the pest control method based on greenhouse vegetable planting according to the present application realizes accurate monitoring and effective control of pests in the greenhouse through the cooperative work of the monitoring and early warning module, the physical control module, the biological control module, and the intelligent control module 6, reduces the use of chemical pesticides, and improves the safety of agricultural products.

[0065] Further, the data storage unit stores pest data, the data processing unit analyzes historical data stored in the data storage unit to obtain the occurrence regularity of pests, and further generates a warning report. In S3, the real-time monitoring report and the warning report analyzed by the data processing unit can be transmitted to the LED display screen 7 and / or the mobile phone APP and / or the short message to notify the user through the remote communication module.

[0066] BACKGROUND Greenhouse vegetable planting is an important way of modern agricultural production, which can effectively control the growth environment of crops and improve yield and quality. However, the high temperature and high humidity environment in the greenhouse provides favorable conditions for the reproduction of pests, resulting in a large number of pest species, rapid reproduction, and serious damage. Common pests include aphids, whiteflies, thrips, red spiders, and noctuid pests, which not only directly harm vegetable growth but also can spread viral diseases, causing serious economic losses. Currently, pest control in greenhouses mainly relies on chemical pesticides. Although chemical pesticides can quickly kill pests, there are the following outstanding problems: single control method, poor effect; labor-dependent, low efficiency; serious pesticide residues, affecting the safety of agricultural products. Physical and biological control technologies are gradually gaining attention, but single use cannot achieve long-term control. Therefore, there is an urgent need for a pest control device and method that combines physical control, biological control, and intelligent management to achieve precise pest control, reduce the use of chemical pesticides, and improve the safety of agricultural products.

[0067] The data storage unit stores pest data, and the data processing unit analyzes historical data stored in the data storage unit to derive the occurrence regularity of pests, and then generates a warning report. In step S3, the real-time monitoring report and the warning report derived by the data processing unit can be transmitted to the LED display screen 7 and / or the mobile phone APP and / or the short message to notify the user through the remote communication module. This method realizes the storage and analysis of pest data through the cooperative work of the data storage unit and the data processing unit, derives the occurrence regularity of pests, and generates a warning report. The real-time monitoring report and the warning report can be transmitted to the user through the remote communication module, making it convenient for the user to timely understand the pest situation and take appropriate control measures.

[0068] Specifically, the data storage unit is used to store pest data, and the data processing unit analyzes the occurrence regularity of pests according to the historical data recorded by the storage unit to generate a warning report. The real-time monitoring report and the warning report are transmitted to the LED display screen 7 and / or the mobile phone APP and / or the short message to notify the user through the remote communication module. This method can derive the occurrence regularity of pests through data analysis, generate a warning report, and timely transmit it to the user, so that the user can timely understand the pest situation and take appropriate control measures.

[0069] Compared with the prior art, the method proposed in the present application can derive the occurrence regularity of pests through data analysis, generate a warning report, and timely transmit it to the user, making it convenient for the user to timely understand the pest situation and take appropriate control measures. Thus, the use of chemical pesticides is reduced, the safety of agricultural products is improved, and the problems of single control method, labor-dependent, and serious pesticide residues in the prior art are solved.

[0070] The application also proposes that the adjustment steps for the working state of the light source trapping module 11 and the sex pheromone trapping module 13 are as follows:

[0071] Step one, the central controller adjusts the light intensity, wavelength and light color of the multi-band LED light source 2 in the corresponding area according to the 3-5 kinds of pests with the largest number in the pest data analyzed by each data processing unit, so that the multi-band LED light source 2 performs the first trapping and killing on the pests with the largest number in the greenhouse.

[0072] Step two, the central controller drives the sex pheromone releasing device 3 to slide along the depth direction of the greenhouse and releases the sex pheromone corresponding to the pest species according to the change of the pest number distribution.

[0073] Step three, the central controller drives the biological control module to slide to the sex pheromone releasing area and drives the natural enemy insect releasing device 4 to release a corresponding amount of natural enemy insects and drives the microbial agent spraying device 5 to spray a corresponding amount of microbial agent according to the amount of sex pheromone release.

[0074] The technical scheme of the application realizes precise trapping and control of pests by adjusting the working state of the light source trapping module 11 and the sex pheromone trapping module 13. Specifically, the central controller first adjusts the light intensity, wavelength and light color of the multi-band LED light source 2 according to the pest data analyzed by the data processing unit, thereby effectively trapping and killing the pests with the largest number. Then, the central controller drives the sex pheromone releasing device 3 to slide and releases the corresponding sex pheromone according to the change of the pest number distribution, thereby further trapping the pests. Finally, the central controller drives the biological control module to slide to the sex pheromone releasing area and drives the natural enemy insect releasing device 4 and the microbial agent spraying device 5 to control according to the amount of sex pheromone release.

[0075] Through the above steps, the application realizes comprehensive control of pests in multiple levels and multiple means, avoiding the limitations of single control means. Specifically, the adjustment of the multi-band LED light source 2 makes the trapping effect more precise and efficient; the release of sex pheromone further enhances the trapping effect; and the use of natural enemy insects and microbial agents provides an environmentally friendly and sustainable control means. Therefore, the application not only can effectively reduce the number of pests, but also can reduce the use of chemical pesticides and improve the safety of agricultural products.

[0076] The application also proposes that in step one, the multi-band LED light source 2 is set to blue light 450 nm or green light 520 nm.

[0077] The technical understanding of this scheme is that by setting specific wavelengths of blue or green light in step one, specific types of pests can be effectively trapped. Blue light 450nm and green light 520nm have different attracting effects on different pests, and selecting the appropriate wavelength can improve the trapping efficiency. By adjusting the light intensity, wavelength and color of the multi-band LED light source 2 through the central controller, the most numerous pests in the greenhouse can be effectively trapped and killed, thereby improving the control effect.

[0078] Based on the understanding of this scheme, the implementation of the new technical features is further explained. The multi-band LED light source 2 can use adjustable wavelength LED lamps, and the wavelength and light intensity of the light source can be adjusted by the controller to adapt to the trapping needs of different pests. For example, for blue light 450nm, blue LED chips can be used, and the light intensity can be controlled by adjusting the current and voltage; for green light 520nm, green LED chips can be used, and the adjustment can be made in a similar way. The central controller can automatically adjust the parameters of the light source based on real-time monitoring data of pest species and quantity, achieving precise trapping.

[0079] The advantages of this scheme are that by setting a multi-band LED light source 2 with specific wavelengths, the trapping efficiency of pests can be improved, and the number of pests can be reduced. At the same time, since physical control methods are used, the use of chemical pesticides is avoided, reducing the impact of pesticide residues on the safety of agricultural products and improving the quality of agricultural products. Compared with the prior art, this scheme can achieve precise control, reduce the dependence on manual labor, and improve the control efficiency. Through the application of the intelligent control module 6, automatic management can be achieved, further improving the overall performance of the system.

[0080] This application also proposes to use chemical control methods for auxiliary pest control, the specific steps are as follows:

[0081] In the data processing unit, a threshold value is set, and when any monitoring and warning module detects that the number of pests exceeds the threshold value, the monitoring and warning module sends an alarm information to the user, so that the user can quickly respond by spraying imidacloprid or abamectin accurately, and the amount and range of imidacloprid or abamectin are dynamically adjusted according to the monitoring data; record the time of pesticide application to ensure that the vegetables are harvested after the safe interval.

[0082] This scheme mainly sets a threshold value, when the monitoring and warning module detects that the number of pests exceeds the set threshold value, the system will send an alarm to remind the user to take appropriate chemical control measures. The user can accurately spray imidacloprid or abamectin according to the monitoring data provided by the system, and the amount and range of imidacloprid or abamectin will be dynamically adjusted according to the actual monitoring data. Recording the time of pesticide application is to ensure that the vegetables are harvested after the safe interval, ensuring the safety of agricultural products.

[0083] Specifically, the threshold setting is determined according to the damage degree of different pests and the growth stage of vegetables, and when the number of pests reaches or exceeds the threshold, the system automatically sends an alarm message. After receiving the alarm information, the user can choose the appropriate pesticide and spraying method according to the pest distribution map and number change trend provided by the system to ensure the control effect. The record of the application time is to avoid excessive pesticide residues and ensure that the vegetables are harvested after the safety interval.

[0084] This chemical control method as an auxiliary measure can quickly reduce the number of pests when the pest density is high, make up for the shortcomings of physical control and biological control methods, and ensure the safety and efficiency of greenhouse vegetable planting. Compared with the prior art, the scheme reduces the use of pesticides through intelligent monitoring and precise application, improves the control effect, and at the same time ensures the safety of agricultural products.

[0085] The places not mentioned in the present application can be realized by adopting or referring to the existing technology.

[0086] Each embodiment in the specification is described in a progressive manner, and the same or similar parts between each embodiment can be referred to each other, and each embodiment mainly describes the difference from other embodiments.

[0087] The above only describes the embodiments of the present application and does not limit the present application. For those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the scope of the claims of the present application.

Claims

1. A pest control device for greenhouse vegetable cultivation, characterized in that, include: The system includes a monitoring and early warning module, a physical control module, a biological control module, and an intelligent control module. The monitoring and early warning module includes an insect pest monitoring and reporting mechanism, which comprises, according to the pest's habits, a light source trapping module, a color board trapping module, a sex pheromone trapping module, and a food trapping module attached to the ground, arranged sequentially from top to bottom. It also includes a camera for capturing images of pests trapped by the light source trapping module, the color board trapping module, the sex pheromone trapping module, and the food trapping module, as well as a data processing unit. The physical prevention module includes a multi-band LED light source installed on the top of the greenhouse and a sex pheromone release device that slides along the depth of the greenhouse. The biological control module includes a natural enemy insect release device and a microbial agent spraying device that are slidably installed along the depth of the greenhouse. The intelligent control module includes a central controller, a data storage unit, and a remote communication module.

2. The pest control equipment based on greenhouse vegetable cultivation according to claim 1, characterized in that, It also includes LED displays for showing data on pests inside the greenhouse.

3. The pest control equipment based on greenhouse vegetable cultivation according to claim 1, characterized in that, The camera captures images and uses AI algorithms to identify the types and quantities of pests. The data processing unit analyzes the monitoring data from the camera and generates a real-time monitoring report on the types and quantities of pests. The central controller automatically adjusts the working status of the physical control module and the biological control module based on the monitoring data analyzed by the data processing unit.

4. The pest control equipment based on greenhouse vegetable cultivation according to claim 1, characterized in that, The data storage unit is used to store pest data. The data processing unit analyzes the historical data recorded in the storage unit to determine the occurrence pattern of pests, and then generates an early warning report. The early warning report is transmitted to the LED display screen and / or mobile APP and / or SMS notification user through the remote communication module.

5. The pest control equipment based on greenhouse vegetable cultivation according to claim 1, characterized in that, The physical control module also includes color plates that are continuously set on both sides of the plants along the depth of the greenhouse. The color plates are yellow and / or blue, and have a groove-shaped structure. The color plates are coated with an adhesive.

6. A method for pest control in greenhouse vegetable cultivation, employing the pest control equipment described in any one of claims 1-5, characterized in that, The specific steps are as follows: S1. Several monitoring and early warning modules are arranged at equal intervals along the depth of the greenhouse; S2. Activate the light source trapping module, color plate trapping module, sex pheromone trapping module, and food trapping module attached to the ground to trap pests; S3. The camera captures and records image data of pests and uploads the data to the data processing unit. The data processing unit uses AI algorithms to identify and analyze the pests and generate a real-time monitoring report on the specific types and quantities of pests. S4. The central controller automatically adjusts the working status of the physical control module and the biological control module based on the data analyzed by the data processing unit.

7. A method for pest control based on greenhouse vegetable cultivation according to claim 6, characterized in that, The data storage unit stores pest data, and the data processing unit analyzes the historical data stored in the data storage unit to derive the occurrence patterns of pests, thereby generating early warning reports. In S3, the real-time monitoring reports and early warning reports analyzed by the data processing unit can be transmitted to the LED display screen and / or mobile APP and / or SMS notification to users through the remote communication module.

8. A method for pest control based on greenhouse vegetable cultivation according to claim 6, characterized in that, The specific steps for adjusting the working status of the light source trapping module and the sex pheromone trapping module are as follows: Step 1: The central controller adjusts the light intensity, wavelength, and color of the multi-band LED light source in the corresponding area based on the 3-5 pests with the largest number analyzed by each data processing unit, so that the multi-band LED light source can attract and kill the most numerous pests in the greenhouse for the first time. Step 2: The central controller drives the pheromone release device to slide along the depth of the greenhouse and releases sex pheromones corresponding to the pest species according to the changes in the distribution of pest numbers. Step 3: The central controller drives the biological control module to slide to the sex pheromone release area and drives the natural enemy insect release device to release the corresponding number of natural enemy insects according to the amount of sex pheromone released. At the same time, it drives the microbial agent spraying device to spray the corresponding amount of microbial agent.

9. A method for pest control based on greenhouse vegetable cultivation according to claim 8, characterized in that, In step one, the multi-band LED light source is set to blue light at 450nm or green light at 520nm.

10. A method for pest control based on greenhouse vegetable cultivation according to claim 9, characterized in that, The specific steps for using chemical control methods as an adjunct to pest control are as follows: Step 1: Set a threshold in the data processing unit. When any monitoring and early warning module detects that the number of pests exceeds the threshold, the monitoring and early warning module will send an alarm message to the user, enabling the user to react quickly and accurately spray imidacloprid or abamectin. The amount and range of imidacloprid or abamectin will be dynamically adjusted based on the monitoring data. Step two: Record the application time to ensure that the vegetables are harvested after the safe interval period.

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