Wheat stripe rust early warning method, system and equipment, storage medium and program product

Abstract

The invention provides a wheat stripe rust early warning method, system and device, a storage medium and a program product, and relates to the technical field of agriculture, and the method comprises the steps: obtaining the spore capture amount, meteorological data and field morbidity of a to-be-monitored farmland; the to-be-monitored farmland is used for planting to-be-monitored wheat, the spore capture amount is the capture number of puccinia striiformis wheat specialized spores, and the field morbidity is the probability that the to-be-monitored wheat is infected with wheat stripe rust; based on the meteorological data, the spore capture amount and the field morbidity, constructing a wheat stripe rust prediction model; and based on the wheat stripe rust prediction model, performing wheat stripe rust monitoring and early warning on the to-be-monitored farmland. By means of the mode, efficient, accurate and real-time monitoring and early warning can be conducted on the wheat stripe rust without depending on manual investigation, the accuracy rate is high, the efficiency is high, and outbreak of the wheat stripe rust can be effectively prevented.

Description

Technical Field

[0001] The present invention relates to the field of agricultural technology, and in particular to a wheat stripe rust early warning method, system, equipment, storage medium and program product. Background Art

[0002] Wheat stripe rust is a fungal disease that seriously affects wheat yields. It spreads rapidly, is highly epidemic, and is prone to break out when climatic conditions are suitable, causing significant losses to agricultural production.

[0003] Traditional monitoring and early warning methods for wheat stripe rust mainly rely on manual surveys. Although this method can directly obtain disease information of wheat in farmland, it still has limitations: manual surveys require a lot of manpower and time, the survey frequency is low, and it is easy to miss the best time to prevent and control wheat stripe rust; in addition, because the symptoms of wheat stripe rust are not easy to detect in the early stages, the survey method that relies on naked eye observation is prone to misdiagnosis and missed diagnosis.

[0004] Therefore, the existing wheat stripe rust monitoring and early warning methods have low accuracy and efficiency in monitoring and early warning of wheat stripe rust, which is difficult to meet the monitoring and early warning needs of agricultural production and easily leads to the outbreak of wheat stripe rust. Summary of the invention

[0005] The present invention provides a wheat stripe rust early warning method, system, equipment, storage medium and program product, which are used to solve the defects of the prior art in that the monitoring and early warning of wheat stripe rust has low accuracy and low efficiency, is difficult to meet the monitoring and early warning needs of agricultural production, and easily leads to the outbreak of wheat stripe rust.

[0006] The invention provides a wheat stripe rust early warning method, which is applied to a wheat stripe rust early warning system, comprising: obtaining the spore capture amount, meteorological data and field morbidity of a to-be-monitored farmland; the to-be-monitored farmland is a farmland used for planting the to-be-monitored wheat, the spore capture amount is the captured number of wheat-specific spores of Puccinia striae, and the field morbidity is the probability that the to-be-monitored wheat is infected with wheat stripe rust; based on the meteorological data, the spore capture amount and the field morbidity, a wheat stripe rust prediction model is constructed; based on the wheat stripe rust prediction model, wheat stripe rust monitoring and early warning are performed on the to-be-monitored farmland.

[0007] According to a wheat stripe rust early warning method provided by the present invention, the meteorological data includes the daily average temperature and the daily average humidity of the farmland to be monitored, and the wheat stripe rust prediction model is a mathematical model constructed within a preset temperature range and a preset humidity range, wherein the preset temperature range is determined based on the daily average temperature, and the preset humidity range is determined based on the daily average humidity; the expression of the wheat stripe rust prediction model is: ; in, is the field incidence rate; is the spore capture amount.

[0008] According to a wheat stripe rust early warning method provided by the present invention, the wheat stripe rust early warning system includes a spore capture instrument, the spore capture instrument is used to obtain the spore capture amount; obtaining the spore capture amount of the farmland to be monitored includes: when the spore capture instrument is not affected by the field wind speed, determining a first volume of air entering the spore capture instrument; the air contains wheat-specific spores of Puccinia striae; based on the first volume, determining the spore capture amount of the farmland to be monitored; wherein the expression of the first volume is: ; in, is the radius of the built-in fan of the spore trap, the built-in fan includes a plurality of fan blades; is the area of ​​a fan blade; is the speed of the built-in fan; is the operating time of the spore trap; It is the first volume of air pushed by the built-in fan and entering the spore capture instrument within time t.

[0009] According to a wheat stripe rust early warning method provided by the present invention, the wheat stripe rust early warning system includes a spore capture instrument, the spore capture instrument is used to obtain the spore capture amount, and the spore capture instrument includes multiple air inlets; obtaining the spore capture amount of the farmland to be monitored includes: when the spore capture instrument is affected by the field wind speed, determining the second volume of air entering the spore capture instrument; the air contains wheat-specific spores of Puccinia striae; based on the second volume, determining the spore capture amount of the farmland to be monitored; wherein the expression of the second volume is: ; in, is the area of ​​an air inlet; is the field wind speed; It is the second volume of air that is pushed by the built-in fan of the spore trap and enters the spore trap when the spore trap is affected by the wind speed in the field.

[0010] According to a wheat stripe rust early warning method provided by the present invention, wheat stripe rust monitoring and early warning are performed on the monitored farmland based on a wheat stripe rust prediction model, including: predicting the potential transmission speed and transmission range of wheat stripe rust in the monitored farmland based on the wheat stripe rust prediction model; determining first early warning information of the diseased area in the monitored farmland and second early warning information of the non-diseased area in the monitored farmland based on the potential transmission speed and transmission range; and performing wheat stripe rust monitoring and early warning on the monitored farmland based on the first early warning information and the second early warning information.

[0011] According to a wheat stripe rust early warning method provided by the present invention, the wheat to be monitored includes multiple varieties; before obtaining the spore capture amount, meteorological data and field incidence rate of the farmland to be monitored, it also includes: planting multiple varieties of wheat to be monitored in the farmland to be monitored; inoculating the multiple varieties of wheat to be monitored with wheat-specific spores of Puccinia stripe fungus and conducting film-covering culture; and setting a wheat stripe rust early warning system in the farmland to be monitored.

[0012] The present invention also provides a wheat stripe rust early warning system, which uses any of the above-mentioned wheat stripe rust early warning methods. The wheat stripe rust early warning system includes: a cross-fixed base, fixed pillars, a power supply device, a meteorological collection device, a spore capture device, a camera device and an intelligent spore identification device; the cross-fixed base is used to fix the wheat stripe rust early warning system to the farmland to be monitored; the fixed pillars are used to support and fix the power supply device, the meteorological collection device, the spore capture device and the camera device; the spore capture device is connected to the camera device, the power supply device and the meteorological collection device respectively.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any of the above-mentioned wheat stripe rust early warning methods is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the computer program implements any of the above-mentioned wheat stripe rust early warning methods.

[0015] The present invention also provides a computer program product, including a computer program, which implements any of the above-mentioned wheat stripe rust early warning methods when executed by a processor.

[0016] The wheat stripe rust early warning method, system, equipment, storage medium and program product provided by the present invention plant the wheat to be monitored in the farmland to be monitored, and construct a wheat stripe rust prediction model according to the spore capture amount of wheat-specific spores of Puccinia striae in the farmland to be monitored, meteorological data and field incidence rate, and based on the wheat stripe rust prediction model, monitor and warn of wheat stripe rust in the farmland to be monitored. Without relying on manual investigation, efficient, accurate and real-time monitoring and early warning of wheat stripe rust can be carried out, with high accuracy and efficiency, and the outbreak of wheat stripe rust can be effectively prevented. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 The present invention is a schematic flow chart of the wheat stripe rust early warning method.

[0019] Figure 2 It is a structural schematic diagram of the wheat stripe rust early warning system provided by the present invention.

[0020] Figure 3 The figure is a schematic diagram of the installation position of the wheat stripe rust early warning system provided by the present invention.

[0021] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. 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.

[0023] It should be noted that in the description of the embodiments of the present invention, the term "including" or any other variant thereof is 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 "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. The orientation or position relationship indicated by the terms "upper", "lower", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. Unless otherwise clearly specified and limited, the term "installation" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" means at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0025] See also Figure 1 , Figure 1 1 is a flow chart of the wheat stripe rust early warning method provided by the present invention. In this embodiment, the wheat stripe rust early warning method is applied to the wheat stripe rust early warning system, and the wheat stripe rust early warning method includes steps S110 to S130, and each step is specifically as follows: S110: Obtain spore capture, meteorological data, and field incidence rate of the farmland to be monitored.

[0026] The farmland to be monitored is the farmland used to grow the wheat to be monitored, the spore capture amount is the number of captured wheat-specific spores of Puccinia stripe fungus, and the field incidence rate is the probability that the wheat to be monitored is infected with wheat stripe rust.

[0027] See also Figure 2 and Figure 3 , Figure 2 is a schematic structural diagram of the wheat stripe rust early warning system provided by the present invention, Figure 3 The figure is a schematic diagram of the installation position of the wheat stripe rust early warning system provided by the present invention.

[0028] like Figure 2 As shown, the wheat stripe rust early warning system includes a cross fixed base, fixed pillars, a power supply device, a meteorological collection device, a spore capture device, a camera device and an intelligent spore recognition device.

[0029] Among them, the cross fixed base is used to fix the wheat stripe rust early warning system on the farmland to be monitored; the fixed pillars are used to support and fix the power supply device, meteorological collection device, spore capture device and camera device.

[0030] Specifically, the cross fixing base ( Figure 2 The lowest cross base) is installed in the appropriate area of ​​the farmland to be monitored, such as the center of the field, the vacant space around the farmland, etc. The ends of the cross fixed base can be inserted with fixed long nails ( Figure 2 The black circle on the bottom cross base) fixes the cross base to prevent the wheat stripe rust early warning system from falling over due to excessive wind or human factors.

[0031] Fix the base of the support column ( Figure 2 Align the white square screw holes at the bottom of the cross fixing base with the square screw holes, and use four rotating screws to fix the four square screw holes ( Figure 2 The white circle in the white square in the figure is used to fix the pillar.

[0032] The metal tray is installed on the side slide of the fixed support, and the spore catcher is set at the four holes of the metal tray; the height setting of the spore catcher depends on different crops and different seedling stages. For example, the height of wheat heading stage is set to 0.5 to 1m, which is convenient for capturing disease spores. The spore catcher can use aerodynamic principles and combine expert recognition technology to capture and identify pathogenic spores of wheat stripe rust. The captured spore images can be uploaded to the remote monitoring platform through a camera device for online analysis by experts, thereby achieving early warning of the disease.

[0033] The power supply device is powered by high-efficiency solar panels, which can provide continuous and stable power support for the meteorological collection device, spore capture device and camera device, allowing the system to operate stably for a long time in a remote farm environment.

[0034] Specifically, two parallel triangular brackets are fixed with screws, and the solar panel is installed on the parallel triangular brackets. The solar panel needs to correspond to the screw holes on the triangular brackets to form a solar panel support arm. The solar panel support arm is vertically installed above the fixed pillar, and the solar panel faces about 45° upward.

[0035] Use screws to fix the camera device to the arm disc, then install the arm disc vertically on the fixed support, and aim the camera at the wheat to be monitored in the farmland to capture images. The high-pixel camera built into the camera device can regularly capture the growth status of the field crops (i.e., the wheat to be monitored) in the farmland to be monitored. The image data is transmitted to the remote monitoring platform through the 4G network. Experts can combine real-time meteorological data with spore capture data to analyze the actual incidence of wheat stripe rust in the farmland to be monitored.

[0036] The arc arm is installed vertically above the fixed pillar, and the meteorological collection device is placed vertically at three points corresponding to the fixed pillar, and fixed with three rotating screw caps. Through the meteorological collection device, the system can monitor the key meteorological data such as field temperature, humidity and dew point of the monitored farmland in real time. By combining these data with the data collected by the spore capture instrument and the camera device, the occurrence and development of wheat stripe rust can be accurately predicted, providing a scientific basis for the formulation of early prevention and control measures for the disease.

[0037] Among them, the spore capture device is connected with the camera device, the power supply device and the meteorological collection device respectively.

[0038] Specifically, the spore capture device has three wires ( Figure 2 The camera device, the power supply device and the weather collection device are connected to the spore capture instrument through three lines with different circular sockets to form a closed loop.

[0039] The intelligent spore identification device consists of a touch-screen computer (installed with spore microscopy intelligent imaging software) and a microscope. By connecting the power supply and circuits one by one, the intelligent spore identification device can detect spores on the microscope in real time and upload spore images to the remote monitoring platform for expert identification.

[0040] It can be understood that in order to construct a wheat stripe rust prediction model suitable for different varieties of wheat, in this embodiment, it is necessary to plant multiple varieties of wheat to be monitored in the farmland to be monitored, inoculate the multiple varieties of wheat to be monitored with wheat-specific spores of Puccinia stripe fungus, and carry out film-covered culture.

[0041] For example, in the farmland to be monitored (an area of ​​about 2,600 m²), the susceptible variety Mingxian 169 and 100 different wheat varieties can be selected as monitoring objects, with the planting interval between each variety of wheat being 0.5 meters, and the protective Nongda 211 can be planted around the field; the wheat-specific spores of Puccinia striae are inoculated twice in 100 1×1.1 meter plots and the susceptible variety Mingxian 169 field, with an interval of 7 days between the two inoculations, during which the soil is kept moist and covered with film for one night; after a 20-day incubation period, field surveys are conducted irregularly, from the jointing stage to the filling stage of wheat, for a total of 11 surveys, in order to track the development of the disease.

[0042] Furthermore, after the film-covered culture is completed, the wheat stripe rust early warning system is set in the farmland to be monitored. The wheat stripe rust early warning system can obtain the spore capture amount, meteorological data and field incidence rate of the farmland to be monitored in real time.

[0043] like Figure 3 As shown, the wheat stripe rust early warning system is installed in the central location of the farmland to be monitored and powered by solar panels to ensure continuous operation of the system.

[0044] Optionally, the power supply device uses a high-efficiency solar panel for power supply. The solar panel uses a component model JYD-40W20A-P, with a peak power of 40W, an operating voltage of 18V, a peak current of 2.22A, a conversion efficiency of 20%, and an external size of 500 mm * 390 mm. After the wheat stripe rust early warning system is installed, it can take real-time photos of the growth status of the wheat to be monitored, monitor the temperature, humidity and dew point of the farmland to be monitored, and capture the pathogen spores spread in the air of the farmland to be monitored.

[0045] Optionally, monitoring personnel can connect to the wheat stripe rust early warning system through the Bluetooth function of the terminal (such as mobile phones and tablets), and adjust the fan start time and data upload time of the spore capture instrument through the mobile phone application to ensure that the system runs automatically according to the set cycle.

[0046] Optionally, three glass slides evenly coated with Vaseline are placed in the spore capture device built into the wheat stripe rust early warning system, and spores in the air are adsorbed onto the glass slides using a fan; the glass slides are taken out regularly and placed in an intelligent spore identification device for microscopic inspection to obtain images of the spores on the glass slides. The spore images will be uploaded to the remote monitoring platform in real time for experts to conduct online identification and analysis.

[0047] Optionally, monitoring personnel or experts can use a browser to access the remote monitoring platform and enter login information; after logging in, they can view in real time the uploaded spore images, meteorological data such as field temperature, humidity and dew point, and growth monitoring images of the wheat to be monitored in the farmland to be monitored; combined with field survey data, the system can analyze and predict the epidemic trend of wheat stripe rust and generate early warning information.

[0048] Optionally, the camera device uses an 8-megapixel camera to capture the growth of the wheat to be monitored at regular intervals every day, and transmits the captured images via 4G communication to achieve remote monitoring of the incidence of wheat stripe rust.

[0049] S120: Construction of a wheat stripe rust prediction model based on meteorological data, spore capture and field incidence.

[0050] By analyzing the meteorological data, spore capture quantity, disease index of different wheat varieties, field incidence rate and other data in the monitored farmland, a regression prediction equation based on spore capture quantity and field incidence rate can be constructed, namely, the wheat stripe rust prediction model. The wheat stripe rust prediction model can characterize the relationship between the number of spores captured daily in the monitored farmland and the field incidence rate.

[0051] Among them, the meteorological data include the daily average temperature and daily average humidity of the farmland to be monitored. The wheat stripe rust prediction model is a mathematical model constructed within a preset temperature range and a preset humidity range. The preset temperature range can be determined based on the daily average temperature, and the preset humidity range can be determined based on the daily average humidity.

[0052] For example, if the average daily temperature of the farmland to be monitored is between 19.2℃ and 26.7℃ for many consecutive days, the preset temperature range is 19.2℃ to 26.7℃; if the average daily humidity of the farmland to be monitored is between 24.0% and 89.2% for many consecutive days, the preset humidity range is 24.0% to 89.2%; at this time, the expression of the wheat stripe rust prediction model is: ; in, is the field incidence rate; is the spore capture amount; when the daily average temperature is 19.2℃ to 26.7℃ and the daily average humidity is 24.0% to 89.2%, the above wheat stripe rust prediction model can effectively predict the epidemic rate of wheat stripe rust of 100 wheat varieties, and help prevention and control personnel make scientific decisions in combination with variety resistance. Model accuracy R of wheat stripe rust prediction model 2 The disease index of wheat stripe rust of 100 wheat varieties ranges from 0 to 89. Based on the daily average temperature and humidity and the disease index, it can be determined that the epidemic rate r of wheat stripe rust of 100 wheat varieties ranges from 0 to 0.39.

[0053] S130: Based on the wheat stripe rust prediction model, wheat stripe rust monitoring and early warning are carried out on the monitored farmland.

[0054] Optionally, when the wheat stripe rust early warning system detects initial signs of wheat stripe rust, the system can generate a warning signal: based on real-time collected data such as daily average temperature, daily average humidity, field incidence rate and disease index, the system can calculate the potential spread speed and range of wheat stripe rust through the constructed wheat stripe rust prediction model, and based on the prediction results, send warning signals to non-affected areas, and adjust the warning signal level in affected areas to prevent further spread of the disease.

[0055] The wheat stripe rust early warning method provided by the present invention comprises the following steps: planting wheat to be monitored in the farmland to be monitored, constructing a wheat stripe rust prediction model according to the spore capture amount of wheat-specific spores of Puccinia striae in the farmland to be monitored, meteorological data and field incidence rate, and based on the wheat stripe rust prediction model, monitoring and early warning of wheat stripe rust are performed on the farmland to be monitored. The method can efficiently, accurately and real-time monitor and warn of wheat stripe rust without relying on manual investigation, with high accuracy and efficiency, and can effectively prevent the outbreak of wheat stripe rust.

[0056] In some embodiments, the meteorological data includes the daily average temperature and daily average humidity of the farmland to be monitored. The wheat stripe rust prediction model is a mathematical model constructed within a preset temperature range and a preset humidity range. The preset temperature range is determined based on the daily average temperature, and the preset humidity range is determined based on the daily average humidity. The expression of the wheat stripe rust prediction model is: ; in, is the field incidence rate; is the spore capture amount.

[0057] In some embodiments, the wheat stripe rust early warning system includes a spore capture instrument, which is used to obtain a spore capture amount; obtaining the spore capture amount of the farmland to be monitored includes: when the spore capture instrument is not affected by the field wind speed, determining a first volume of air entering the spore capture instrument; the air contains wheat-specific spores of Puccinia striae; based on the first volume, determining the spore capture amount of the farmland to be monitored; wherein the expression of the first volume is: ; in, is the radius of the built-in fan of the spore trap, the built-in fan includes a plurality of fan blades; is the area of ​​a fan blade; is the speed of the built-in fan; is the operating time of the spore trap; It is the first volume of air pushed by the built-in fan and entering the spore capture instrument within time t.

[0058] In this embodiment, the wheat stripe rust early warning system includes a spore capture device; the wheat stripe rust early warning system is set in the farmland to be monitored, and the built-in fan of the spore capture device can be used to inhale the wheat-specific spores of Puccinia stripe fungus spread in the air.

[0059] Specifically, when the spore trap is not affected by the field wind speed, the wheat stripe rust early warning system can use the built-in fan of the spore trap to inhale the wheat-specific spores of Puccinia striae in the air; after the wheat-specific spores of Puccinia striae in the air adhere to the glass slide, the first volume of air entering the spore trap can be calculated according to the principle of aerodynamics. , the first volume The expression is: ; in, is the radius of the built-in fan of the spore trap, the built-in fan includes a plurality of blades, for example, 7 blades; is the area of ​​a fan blade; is the speed of the built-in fan; is the operating time of the spore trap.

[0060] Understandably, the first volume The larger the first volume is, the greater the spore capture amount is. Therefore, the spore capture amount of the farmland to be monitored can be determined based on the first volume.

[0061] In some embodiments, the wheat stripe rust early warning system includes a spore capture instrument, the spore capture instrument is used to obtain the spore capture amount, and the spore capture instrument includes multiple air inlets; obtaining the spore capture amount of the farmland to be monitored includes: when the spore capture instrument is affected by the field wind speed, determining the second volume of air entering the spore capture instrument; the air contains wheat-specific spores of Puccinia striae; based on the second volume, determining the spore capture amount of the farmland to be monitored; wherein the expression of the second volume is: ; in, is the area of ​​an air inlet; is the field wind speed; It is the second volume of air that is pushed by the built-in fan of the spore trap and enters the spore trap when the spore trap is affected by the wind speed in the field.

[0062] It is understandable that the wind speed in the field of the farmland to be monitored will affect the volume of air entering the spore trap. In the case of considering the influence of the wind speed in the field, the volume of air entering the spore trap can be calculated in another way.

[0063] In this embodiment, the wheat stripe rust early warning system includes a spore capture device, which includes 8 air inlets, and the air inlets are evenly distributed on a cylinder (for collecting spores) provided on the spore capture device, and the area of ​​one air inlet is ; Considering the influence of field wind speed, assume that the field wind speed (i.e. the average wind speed outside) is (Unit: m / s), one air inlet is completely affected by the wind in the direction facing the air inlet, two air inlets are affected by the wind at an angle of about 45°, two air inlets are parallel to the wind direction, two air inlets are facing away from the wind direction at 45°, and one air inlet is completely facing away from the wind direction. Then, within time t, the second volume of air is affected by the field wind speed and is pushed by the built-in fan of the spore trap and enters the spore trap. for: .

[0064] Further, based on the second volume, the spore capture amount of the farmland to be monitored is determined.

[0065] In this process, the wheat-specific spores of Puccinia striata spread with the air flow are sucked in by the spore capture device and adhered to the built-in glass slide, completing the spore capture. The intelligent spore identification device is composed of a microscope, a touch screen computer and its software; after obtaining the glass slide with the wheat-specific spores of Puccinia striata adsorbed on it, the glass slide becomes the adhesion carrier of the wheat-specific spores of Puccinia striata, and the number of wheat-specific spores of Puccinia striata on the glass slide can be observed through the microscope of the intelligent spore identification device; the observed spore images are uploaded to the touch screen computer through the camera device, and the touch screen computer and its software can upload the spore images to the remote monitoring platform, and then the experts will identify and identify them to further confirm the type and number of captured spores.

[0066] In some embodiments, based on a wheat stripe rust prediction model, wheat stripe rust monitoring and early warning are performed on the monitored farmland, including: predicting the potential transmission speed and range of wheat stripe rust in the monitored farmland based on the wheat stripe rust prediction model; determining first early warning information for diseased areas in the monitored farmland and second early warning information for non-disease areas in the monitored farmland based on the potential transmission speed and range; and performing wheat stripe rust monitoring and early warning on the monitored farmland based on the first early warning information and the second early warning information.

[0067] Specifically, when the wheat stripe rust early warning system detects initial signs of wheat stripe rust, the wheat stripe rust prediction model can be used to predict the potential spread speed and range of wheat stripe rust in the farmland to be monitored, and based on the potential spread speed and range, generate the first warning information for the diseased areas in the farmland to be monitored.

[0068] Among them, the first warning information includes the warning signal level. Adjusting the warning signal level in the diseased areas can prevent the disease from spreading further.

[0069] Similarly, according to the potential transmission speed and range, the second warning information of the non-diseased areas in the monitored farmland can be generated, and based on the first warning information and the second warning information, the monitored farmland can be monitored and warned of wheat stripe rust.

[0070] Among them, the second warning information includes a warning signal, and the generated warning signal can remind monitoring personnel to carry out disease prevention and control to prevent the disease from further spreading.

[0071] In some embodiments, the wheat to be monitored includes multiple varieties; before obtaining the spore capture amount, meteorological data and field incidence rate of the farmland to be monitored, it also includes: planting multiple varieties of wheat to be monitored in the farmland to be monitored; inoculating the multiple varieties of wheat to be monitored with wheat-specific spores of Puccinia stripe fungus, and conducting film-covered culture; and setting up a wheat stripe rust early warning system in the farmland to be monitored.

[0072] The present invention also provides a specific example of a wheat stripe rust early warning method. Specifically, a winter wheat inoculation test is carried out in the farmland to be monitored for one quarter, and the occurrence and development of wheat stripe rust is monitored and warned in real time using a wheat stripe rust early warning system: wheat-specific spores of Puccinia striae are obtained from naturally diseased wheat fields, and are evenly sprayed on 34 small-area varieties and some Datian Mingxian 169 varieties of wheat in the farmland to be monitored, simulating the natural disease process of wheat stripe rust, producing symptoms and spreading spores, causing a large range of disease in susceptible wheat plants, simulating the outbreak process of wheat stripe rust throughout the growth cycle, and constructing a wheat stripe rust prediction model based on the data collected in real time by the system for monitoring and early warning. The experimental results show that the wheat stripe rust early warning system and method designed by the present invention can effectively improve the timeliness and accuracy of wheat stripe rust prevention and control.

[0073] The present invention also provides a wheat stripe rust early warning system. Figure 2 As shown, in this embodiment, the wheat stripe rust early warning system uses any of the wheat stripe rust early warning methods described above, and the wheat stripe rust early warning system includes a cross fixed base, fixed pillars, a power supply device, a meteorological collection device, a spore capture device, a camera device and an intelligent spore recognition device.

[0074] Among them, the cross fixed base is used to fix the wheat stripe rust early warning system on the farmland to be monitored; the fixed pillars are used to support and fix the power supply device, meteorological collection device, spore capture device and camera device.

[0075] Specifically, the cross fixing base ( Figure 2 The lowest cross base) is installed in the appropriate area of ​​the farmland to be monitored, such as the center of the field, the vacant space around the farmland, etc. The ends of the cross fixed base can be inserted with fixed long nails ( Figure 2 The black circle on the bottom cross base) fixes the cross base to prevent the wheat stripe rust early warning system from falling over due to excessive wind or human factors.

[0076] Fix the base of the support column ( Figure 2 Align the white square screw holes at the bottom of the cross fixing base with the square screw holes, and use four rotating screws to fix the four square screw holes ( Figure 2 The white circle in the white square in the figure is used to fix the pillar.

[0077] The metal tray is installed on the side slide of the fixed support, and the spore catcher is set at the four holes of the metal tray; the height setting of the spore catcher depends on different crops and different seedling stages. For example, the height of wheat heading stage is set to 0.5 to 1m, which is convenient for capturing disease spores. The spore catcher can use aerodynamic principles and combine expert recognition technology to capture and identify pathogenic spores of wheat stripe rust. The captured spore images can be uploaded to the remote monitoring platform through a camera device for online analysis by experts, thereby achieving early warning of the disease.

[0078] The power supply device is powered by high-efficiency solar panels, which can provide continuous and stable power support for the meteorological collection device, spore capture device and camera device, allowing the system to operate stably for a long time in a remote farm environment.

[0079] Specifically, two parallel triangular brackets are fixed with screws, and the solar panel is installed on the parallel triangular brackets. The solar panel needs to correspond to the screw holes on the triangular brackets to form a solar panel support arm. The solar panel support arm is vertically installed above the fixed pillar, and the solar panel faces about 45° upward.

[0080] Use screws to fix the camera device to the arm disc, then install the arm disc vertically on the fixed support, and aim the camera at the wheat to be monitored in the farmland to capture images. The high-pixel camera built into the camera device can regularly capture the growth status of the field crops (i.e., the wheat to be monitored) in the farmland to be monitored. The image data is transmitted to the remote monitoring platform through the 4G network. Experts can combine real-time meteorological data with spore capture data to analyze the actual incidence of wheat stripe rust in the farmland to be monitored.

[0081] The arc arm is installed vertically above the fixed pillar, and the meteorological collection device is placed vertically at three points corresponding to the fixed pillar, and fixed with three rotating screw caps. Through the meteorological collection device, the system can monitor the key meteorological data such as field temperature, humidity and dew point of the monitored farmland in real time. By combining these data with the data collected by the spore capture instrument and the camera device, the occurrence and development of wheat stripe rust can be accurately predicted, providing a scientific basis for the formulation of early prevention and control measures for the disease.

[0082] Among them, the spore capture device is connected with the camera device, the power supply device and the meteorological collection device respectively.

[0083] Specifically, the spore capture device has three wires ( Figure 2 The camera device, the power supply device and the weather collection device are connected to the spore capture instrument through three lines with different circular sockets to form a closed loop.

[0084] The intelligent spore identification device consists of a touch-screen computer (installed with spore microscopy intelligent imaging software) and a microscope. By connecting the power supply and circuits one by one, the intelligent spore identification device can detect spores on the microscope in real time and upload spore images to the remote monitoring platform for expert identification.

[0085] The wheat stripe rust early warning system of the present invention integrates a power supply device, a meteorological collection device, a spore capture device, a camera device and an intelligent spore recognition device to form an intelligent farmland monitoring system. The system can collect meteorological data in the wheat field in real time, capture and identify wheat-specific spores of stripe rust fungus, and at the same time capture images of crop growth through a camera, thereby conducting all-round monitoring of the occurrence and development of wheat stripe rust. This system can not only improve the monitoring efficiency and accuracy of wheat stripe rust, but also effectively shorten the response time of disease prevention and control, avoid large-scale spread of the disease, and provide reliable technical support for agricultural production.

[0086] The invention also provides an electronic device. Figure 4 is a schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the wheat stripe rust early warning method.

[0087] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of 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 invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0088] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the wheat stripe rust early warning method provided by the above methods is implemented.

[0089] The present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the wheat stripe rust early warning method provided by the above methods.

[0090] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0091] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A wheat stripe rust early warning method, characterized in that: Applied to wheat stripe rust early warning system, including: Acquire the spore capture amount, meteorological data and field morbidity of the farmland to be monitored; the farmland to be monitored is the farmland used to grow the wheat to be monitored, the spore capture amount is the number of captured wheat-specific spores of Puccinia striae, and the field morbidity is the probability that the wheat to be monitored is infected with wheat stripe rust; Constructing a wheat stripe rust prediction model based on the meteorological data, the spore capture amount and the field incidence rate; Based on the wheat stripe rust prediction model, wheat stripe rust monitoring and early warning are carried out on the farmland to be monitored.

2. The wheat stripe rust early warning method according to claim 1, characterized in that: The meteorological data includes the daily average temperature and daily average humidity of the farmland to be monitored, and the wheat stripe rust prediction model is a mathematical model constructed within a preset temperature range and a preset humidity range, wherein the preset temperature range is determined based on the daily average temperature, and the preset humidity range is determined based on the daily average humidity; The expression of the wheat stripe rust prediction model is: ； in, is the field incidence rate; is the spore capture amount.

3. The wheat stripe rust early warning method according to claim 1, characterized in that: The wheat stripe rust early warning system comprises a spore capture instrument, and the spore capture instrument is used to obtain the spore capture amount; The method of obtaining the spore capture amount of the farmland to be monitored includes: When the spore trap is not affected by the wind speed in the field, determining a first volume of air entering the spore trap; the air contains the wheat-specific spores of Puccinia striata; Determining the spore capture amount of the farmland to be monitored based on the first volume; Wherein, the expression of the first volume is: ； in, is the radius of the built-in fan of the spore capture instrument, wherein the built-in fan includes a plurality of fan blades; is the area of ​​one of the fan blades; is the rotation speed of the built-in fan; is the operating time of the spore capture instrument; is the first volume of the air pushed by the built-in fan and entering the spore capture instrument within time t.

4. The wheat stripe rust early warning method according to claim 1, characterized in that: The wheat stripe rust early warning system comprises a spore capture instrument, which is used to obtain the spore capture amount, and the spore capture instrument comprises a plurality of air inlets; The method of obtaining the spore capture amount of the farmland to be monitored includes: When the spore trap is affected by field wind speed, determining a second volume of air entering the spore trap; the air contains wheat-specific spores of Puccinia striata; determining the spore capture amount of the farmland to be monitored based on the second volume; Wherein, the expression of the second volume is: ； in, is the area of ​​one of the air inlets; is the field wind speed; The second volume of the air is pushed by the built-in fan of the spore trap and enters the spore trap when the spore trap is affected by the wind speed in the field.

5. The wheat stripe rust early warning method according to claim 1, characterized in that: The step of monitoring and early warning wheat stripe rust on the farmland to be monitored based on the wheat stripe rust prediction model includes: Based on the wheat stripe rust prediction model, predict the potential spread speed and spread range of wheat stripe rust in the farmland to be monitored; Based on the potential transmission speed and the transmission range, determine first warning information of the diseased area in the farmland to be monitored, and second warning information of the disease-free area in the farmland to be monitored; Based on the first warning information and the second warning information, wheat stripe rust monitoring and early warning are performed on the farmland to be monitored.

6. The wheat stripe rust early warning method according to claim 1, characterized in that: The wheat to be monitored includes multiple varieties; Before obtaining the spore capture amount, meteorological data and field morbidity of the farmland to be monitored, the method further includes: Planting multiple varieties of the wheat to be monitored in the farmland to be monitored; Inoculating wheat-specific spores of Puccinia striae into multiple varieties of the monitored wheat and performing film-covered culture; The wheat stripe rust early warning system is set in the farmland to be monitored.

7. A wheat stripe rust early warning system, characterized in that: Using the wheat stripe rust early warning method according to any one of claims 1 to 6, the wheat stripe rust early warning system comprises: a cross fixed base, a fixed support, a power supply device, a meteorological collection device, a spore capture device, a camera device and an intelligent spore recognition device; The cross fixing base is used to fix the wheat stripe rust early warning system to the farmland to be monitored; The fixed support is used to support and fix the power supply device, the meteorological collection device, the spore capture device and the camera device; The spore capture device is connected to the camera device, the power supply device and the meteorological collection device respectively.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the wheat stripe rust early warning method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the wheat stripe rust early warning method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the wheat stripe rust early warning method according to any one of claims 1 to 6 is implemented.

Images