CN115238237A - Insect pest situation monitoring method, device and system - Google Patents
Insect pest situation monitoring method, device and system Download PDFInfo
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Abstract
The invention provides a method, a device and a system for monitoring insect pest situation, wherein the method comprises the following steps: inputting the quantity of the pests in the target image of the current period into the pest situation estimation model, and acquiring an estimated value of the quantity of the pests at the monitoring point of the current period output by the pest situation estimation model as a pest situation monitoring result of the current period of the monitoring point; the target image is an image of the pest sticking plate arranged at the monitoring point; the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests at the sample monitoring point; the sample mythimna separata board is arranged at a sample monitoring point in the sample area. The pest situation monitoring method, the device and the system can estimate the pest occurrence number at the monitoring point where the pest sticking plate is located more scientifically and accurately according to the number of the pests captured by the pest sticking plate based on a linear regression method, so that a pest prevention and control strategy can be made more scientifically according to the pest situation monitoring result, and the use of pesticides can be reduced.
Description
Technical Field
The invention relates to the technical field of agricultural pest control, in particular to a pest situation monitoring method, device and system.
Background
Insect pests are a common problem in agricultural production and forestry development. When the insect pest is serious, the crop can be harvested or lost in a large area. Therefore, the insect condition monitoring has important significance for the production and development of agriculture and forestry, and is an important link for insect pest control.
In the prior art, the sticky trap can be arranged to be used as a trap to trap pests, and the pest population density near the sticky trap can be indirectly estimated by counting the number of the pests trapped by the sticky trap and used as a pest situation monitoring result.
However, in the prior art, when the pest population density near the sticky trap is estimated based on the number of pests trapped by the sticky trap, the subjectivity of the obtained pest situation monitoring result is high and the accuracy is low because the method usually depends on the experience of technicians.
Disclosure of Invention
The invention provides an insect condition monitoring method, device and system, which are used for solving the defect of low accuracy of insect condition monitoring in the prior art and realizing more accurate insect condition monitoring.
The invention provides an insect condition monitoring method, which comprises the following steps:
acquiring target data of a current period of monitoring points in a target area; the target data includes: a target image; the target image is an image of the pest sticking plate arranged at the monitoring point;
acquiring the number of pests in a target image of a current period;
inputting the quantity into an insect condition estimation model, and acquiring an estimated value of the quantity of pests occurring at the monitoring point in the current period output by the insect condition estimation model as an insect condition monitoring result of the current period of the monitoring point;
the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests at the sample monitoring point; the sample pest sticking plate is arranged at a sample monitoring point in the sample area.
According to the pest situation monitoring method provided by the invention, under the condition that the number of the monitoring points in the target area is multiple, the number is input into a pest situation estimation model, an estimated value of pest occurrence number at the monitoring points in the current period output by the pest situation estimation model is obtained, and the estimated value is used as a pest situation monitoring result of the current period of the monitoring points, the pest situation monitoring method further comprises the following steps:
acquiring an insect pest situation monitoring result of the target area based on the estimated value of the pest occurrence number at the monitoring point and the position information of the monitoring point in the current period;
wherein, each monitoring point is distributed in a star topology mode.
According to the insect pest situation monitoring method provided by the invention, the acquiring of the insect pest situation monitoring result of the target area based on the estimated value of the pest occurrence number at the monitoring point in the current period and the position information of the monitoring point comprises the following steps:
generating a first pest situation space-time distribution diagram of the current period based on the estimated value of the pest occurrence number of the monitoring points of the current period, the estimated value of the pest occurrence number of the monitoring points of each target historical period and the position information of the monitoring points, and taking the first pest situation space-time distribution diagram as a pest situation monitoring result of the target area of the current period;
wherein the first pest situation spatiotemporal distribution map is used for describing a spatiotemporal distribution of estimated values of pest occurrence number in the target area; and the target historical period is a historical period, wherein the interval duration between the target historical period and the current period does not exceed the preset duration.
According to the insect pest situation monitoring method provided by the invention, under the condition that the target data further comprises environmental data at the monitoring point, the insect pest situation monitoring result of the target area is obtained based on the estimated value of the pest occurrence number at the monitoring point and the position information of the monitoring point in the current period, and the method comprises the following steps:
generating a second pest situation space-time distribution map of the current period based on the environmental data of the monitoring points of the current period, the estimated value of the pest occurrence number of the monitoring points of each target historical period, the environmental data of the monitoring points of each target historical period and the position information of the monitoring points, and taking the second pest situation space-time distribution map as the pest situation monitoring result of the target area of the current period;
and the second pest situation space-time distribution map is used for describing the estimated value of the pest occurrence number in the target area, the space-time distribution of the environment data in the target area and the response relation between the estimated value of the pest occurrence number in the target area and the environment data.
According to the insect pest monitoring method provided by the invention, after the second insect pest space-time distribution map of the current period is generated based on the environmental data of the monitoring points of the current period, the estimated value of the pest occurrence number of the monitoring points of each target history period, the environmental data of the monitoring points of each target history period and the position information of the monitoring points, as the insect pest monitoring result of the target area of the current period, the method further comprises the following steps:
and controlling the environmental data of at least one monitoring point in the target area based on the second insect situation space-time distribution image.
According to the insect pest situation monitoring method provided by the invention, the step of acquiring the number of the pests in the target image of the current period comprises the following steps:
inputting the target image of the current period into a pest recognition model, and acquiring a pest recognition result of the target image of the current period output by the pest recognition model;
acquiring the number of pests in the target image of the current period based on the pest identification result;
the pest recognition model is obtained by training by taking a sample image as a sample and taking a pest recognition result of the sample image as a sample label; the sample image is an image of a sample pest sticking plate; the sample mythimna separata board is arranged at a sample monitoring point in the sample area.
According to the insect condition monitoring method provided by the invention, the environmental data comprise: at least one of temperature data, humidity data, and light intensity data.
The invention also provides an insect condition monitoring device, comprising:
the data acquisition module is used for acquiring target data of a current period of monitoring points in a target area; the target data includes: a target image; the target image is an image of the pest sticking plate arranged at the monitoring point;
the pest counting module is used for acquiring the number of pests in the target image of the current period;
the pest situation monitoring module is used for inputting the quantity into the pest situation estimation model, acquiring an estimated value of pest occurrence quantity at the monitoring point in the current period output by the pest situation estimation model, and taking the estimated value as a pest situation monitoring result of the current period of the monitoring point;
the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests at the sample monitoring point; the sample pest sticking plate is arranged at a sample monitoring point in the sample area.
The invention also provides an insect pest situation monitoring system, comprising: an insect condition monitoring processor; also included are a memory and a program or instructions stored on the memory and executable on the insect pest monitoring processor that, when executed by the insect pest monitoring processor, performs the insect pest monitoring method as described in any one of the above.
According to the insect condition monitoring system provided by the invention, the insect condition monitoring system further comprises: a data acquisition device;
the data acquisition device comprises: the fixing device and the data acquisition device body; the data acquisition device body includes: an image sensor and a central processor; the central processor is electrically connected with the image sensor and the insect pest situation monitoring processor;
the fixing device is used for fixing the data acquisition device body at a monitoring point;
the image sensor is used for collecting an image of the pest sticking plate arranged at the monitoring point as a target image and inputting the target image to the central processing unit;
and the central processing unit is used for sending the target image to the insect pest situation monitoring processor.
According to the insect pest situation monitoring system provided by the invention, the data acquisition device body further comprises: at least one of a temperature sensor, a humidity sensor, and a light sensor.
According to the insect condition monitoring system provided by the invention, the fixing device comprises a rope, a lifting ring and a horizontal indicating bubble;
the data acquisition device body is connected with a fixed object above the monitoring point through the rope and the lifting ring; the height of the data acquisition device body can be adjusted by adjusting the length of the rope.
According to the insect condition monitoring system provided by the invention, the data acquisition device body further comprises: a power module and an antenna.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the insect condition monitoring method.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of insect pest monitoring as described in any one of the above.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a method of insect pest monitoring as described in any one of the above.
According to the pest situation monitoring method, device and system provided by the invention, the number is input into the pest situation estimation model after the target image of the current period of the monitoring point in the target area is obtained and the estimated value of the pest occurrence number at the current period monitoring point output by the pest situation estimation model is further obtained and is used as the pest situation monitoring result of the current period of the monitoring point, the target image is the image of the pest sticking plate arranged at the monitoring point, the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the pest occurrence number at the sample monitoring point, the sample pest sticking plate is arranged at the sample monitoring point in the sample area, the pest occurrence number at the monitoring point where the pest sticking plate is located can be more scientifically and accurately estimated according to the number of the pests captured by the pest sticking plate based on the linear regression method, so that a more scientific pest prevention and control strategy can be made according to the pest situation monitoring result, and the use of pesticides can be reduced.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a method for monitoring insect pest status provided by the present invention;
FIG. 2 is a schematic view of a pest process for obtaining a technical result of a target image in the pest situation monitoring method according to the present invention;
FIG. 3 is a schematic structural diagram of an insect pest situation monitoring device provided by the present invention;
FIG. 4 is a schematic diagram of a data acquisition device in the insect pest situation monitoring system according to the present invention;
FIG. 5 is a schematic diagram of a pest situation monitoring system provided by the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
In the description of the invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted", "connected" and "connected" are to be construed broadly, e.g., as being fixed or detachable or integral; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
It is noted that integrated pest management is the most effective way in agricultural pest management processes. In order to make a scientific and effective pest control strategy, the population density of pests needs to be accurately monitored in real time. In the traditional insect pest situation monitoring method, one of the simplest ways is to use the sticky trap as a trap and indirectly estimate the current pest population density near the sticky trap based on the number of the pests caught by the sticky trap, so as to make better prevention and control decisions and reduce the use of pesticides.
However, in the prior art, when the pest population density near the sticky trap is estimated based on the number of pests trapped by the sticky trap, the subjectivity of the obtained pest situation monitoring result is high and the accuracy is low due to the fact that the method generally depends on the experience of technicians.
Accordingly, the invention provides a method, a device and a system for monitoring insect pest situation. Based on the pest situation monitoring method provided by the invention, the pest population density near the sticky trap can be estimated more accurately and scientifically based on the number of pests trapped by the sticky trap, so that a pest prevention and control strategy can be made more scientifically, and the use of pesticides can be reduced.
FIG. 1 is a schematic flow chart of the insect pest situation monitoring method provided by the present invention. The insect pest monitoring method of the present invention is described below with reference to FIG. 1. As shown in fig. 1, the method includes: step 101, acquiring target data of a current period of monitoring points in a target area; target data, comprising: a target image; and the target image is an image of the pest sticking plate arranged at the monitoring point.
It should be noted that the execution subject of the embodiment of the present invention is an insect condition monitoring device.
Specifically, the target area is a monitoring object of the insect pest situation monitoring method provided by the invention. Based on the insect condition monitoring method provided by the invention, the population density of the pests in the target area can be monitored.
The target area may be predetermined according to actual requirements.
Alternatively, the target area may be an indoor area or an outdoor area. For example: the target area may be an area in a certain greenhouse to be monitored; alternatively, the target area may be a farmland area or a forest farm area outdoors.
It should be noted that at least one monitoring point is arranged in the target area. The location of the monitoring points within the target region may be predetermined based on a priori knowledge. For example: the position of the monitoring point in the target area can be determined based on a preset area, and one monitoring point is arranged every 70-80 square meters in the target area. The number of the monitoring points in the target area and the positions of the monitoring points in the target area are not specifically limited in the embodiment of the invention.
For each monitoring point within the target area, at least one pest sticking plate may be provided at each monitoring point.
It should be noted that the position of each sticky trap at each monitoring point may be predetermined based on a priori knowledge. In the embodiment of the present invention, the number of the sticky trap at each monitoring point and the position of each sticky trap are not particularly limited.
Technicians can collect images of each pest sticking plate arranged at each monitoring point as original images by using a mobile terminal with an image collecting function, and the mobile terminal can send the collected original images to the pest situation monitoring device; or the pest situation monitoring device can control a terminal which is arranged in the field in advance and has an image acquisition function, the image of each pest sticking plate arranged at each monitoring point is acquired and used as an original image, and the terminal can send the acquired original image to the field pest situation monitoring device.
After receiving an original image sent by the mobile terminal or an electronic device pre-arranged in the field, the field pest situation monitoring device can directly take the original image as a target image, and can also take the original image after image preprocessing as the target image after image preprocessing.
Optionally, the image preprocessing performed on the original image may include, but is not limited to, resizing the original image to a preset size, rejecting an image that is too bright or too dark, enhancing the image, and the like.
It should be noted that, in the embodiment of the present invention, the terminal may be a terminal having a communication function and an image capturing function, for example: network cameras, etc.; the mobile terminal in the embodiment of the present invention may be a terminal that has a communication function and an image capturing function and can be used in moving, for example: smart phones, etc.
It can be understood that the target image has a correspondence with the monitoring point. For any monitoring point, the target image corresponding to the monitoring point may include one or more insect-sticking plates disposed at the monitoring point. Therefore, the number of target images corresponding to any monitoring point can be one or more.
It will be appreciated that in the case where the number of monitoring points within the target area is plural, the number of target images is plural.
It should be noted that the monitoring points and the target images corresponding to the monitoring points in the embodiment of the present invention are collectively referred to as all monitoring points and all target images.
It should be noted that, in the embodiment of the present invention, the target image may be periodically acquired through the above-mentioned manner, so that the target image of the current period of the monitoring point may be acquired.
And 102, acquiring the number of pests in the target image of the current period.
Specifically, in the embodiment of the present invention, the number of pests in the target image of the current period may be acquired in various ways, for example: the number of pests in the target image of the current period can be acquired in a visual interpretation mode depending on an insect expert; or, the number of pests in the target image of the current period can be acquired by utilizing machine vision and an image processing algorithm. The specific manner of acquiring the number of pests in the target image of the current period is not limited in the embodiment of the present invention.
And 103, inputting the quantity into the pest situation estimation model, and acquiring an estimated value of the pest occurrence quantity at the monitoring point of the current period output by the pest situation estimation model as a pest situation monitoring result of the current period of the monitoring point.
The pest situation estimation model is constructed by a linear regression method based on the number of pests captured on the sample pest sticking plate and the actual value of the number of pests at the sample monitoring point; the sample mythimna separata board is arranged at a sample monitoring point in the sample area.
Specifically, after the number of pests in the target image of the current period is acquired, the number may be input into the pest situation estimation model.
The pest situation estimation model can estimate the pest occurrence number at the monitoring point corresponding to the target image in the current period based on the number, and further can obtain and output the estimated value of the pest occurrence number at the monitoring point in the current period.
After the estimated value of the pest occurrence number at the monitoring point in the current period output by the pest situation estimation model is obtained, the estimated value can be used as the pest situation monitoring result of the current period of the monitoring point.
It should be noted that the insect situation estimation model may be constructed as follows: and 11, acquiring the quantity of the pests captured on the sample pest sticking plate.
It should be noted that the sample region may be predetermined based on a priori knowledge. At least one sample monitoring point is arranged in the sample region. The number and the specific position of the sample monitoring points in the sample area are not particularly limited in the embodiment of the invention.
For each sample monitoring point within the sample area, the above-mentioned each sample monitoring point may be disposed at least one sample mythimna separata plate. It can be understood that there is a correspondence between the sample monitoring points and the sample mythimna plate.
The number of pests captured on the sample sticky board arranged at any sample monitoring point in the sample area can be acquired in various ways.
For example: the number of the pests captured on the sample pest sticking plate arranged at the sample monitoring point can be acquired by means of visual interpretation depending on an insect specialist;
for another example, an image of the sample sticky trap arranged at the sample monitoring point can be obtained as a sample image, and the number of pests in the sample image can be obtained by using machine vision and an image processing algorithm, so that the number of pests captured on the sample sticky trap arranged at the sample monitoring point can be obtained;
for another example, an image of the sample sticky trap disposed at the sample monitoring point may be obtained as a sample image, and the number of vermin in the sample image may be obtained by visual interpretation depending on an insect specialist, so that the number of vermin captured on the sample sticky trap disposed at the sample monitoring point may be obtained.
Wherein the number of the pest caught on the sample pest sticking plate at the sample monitoring point can be used
I is a positive integer greater than zero, and the maximum value of i is N.
And 12, acquiring an actual value of the pest occurrence number at the sample monitoring point.
The white chassis can be manually placed below the plant leaves at the sample monitoring point, and after the plants are manually flapped until no insects fall into the white chassis, the number of the pests in the white chassis is manually counted to be used as an actual value of the number of the pests at the sample monitoring point. And then obtaining an actual value of the pest occurrence number at the sample monitoring point based on the input of the user. The actual value of the pest occurrence number at the sample monitoring point can be used
And (4) showing.
Step 13, the number of the pests captured on the sample pest sticking plate
And actual value of pest occurrence number at sample monitoring point
And performing linear regression analysis to construct an insect situation estimation model.
The insect situation estimation model can be M i ＝k×A i + b represents, where the parameters k and b can be calculated by a least square estimation method, and the specific formula is as follows:
wherein,
according to the embodiment of the invention, the number of the target images in the current period of the monitoring points in the target area is obtained, the estimated value of the number of the pests at the monitoring points in the current period, which is output by the pest situation estimation model, is further obtained and then input into the pest situation estimation model, the estimated value is used as the pest situation monitoring result of the current period of the monitoring points, the target images are the images of the pest sticking plates arranged at the monitoring points, the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plates and the actual value of the number of the pests at the monitoring points of the sample, the number of the pests at the monitoring points of the pest sticking plates can be more scientifically and more accurately estimated according to the number of the pests captured by the pest sticking plates based on a linear regression method, so that pest prevention and control strategies can be more scientifically made according to the pest situation monitoring result, and the use of pesticides can be reduced.
Based on the content of each embodiment, when the number of the monitoring points in the target area is multiple, inputting the number into the pest situation estimation model, obtaining the estimated value of the pest occurrence number at the monitoring point in the current period output by the pest situation estimation model, and after the estimated value is used as the pest situation monitoring result in the current period of the monitoring points, the method further includes: and acquiring the pest situation monitoring result of the target area in the current period based on the estimated value of the pest occurrence number at the monitoring point in the current period and the position information of the monitoring point.
Wherein, each monitoring point is distributed in a star topology structure.
It should be noted that, traditional pest situation monitoring is fixed point monitoring, and based on traditional pest monitoring devices, the pest situation of local area in the target area can only be reflected, and the pest situation of whole target area can not be comprehensively estimated, thereby the pest control of the target area can not be comprehensively carried out. If a plurality of conventional pest monitoring devices are deployed at different locations in a target area, there are two disadvantages: firstly, because the traditional pest monitoring device has a large volume, a plurality of large-scale devices are arranged at different positions in a target area, and a large operation space is occupied, so that great influence is caused on farm operation; secondly, the traditional pest monitoring devices are high in manufacturing cost, equipment cost required to be invested by installing a plurality of traditional pest monitoring devices at different positions in a target area is high, each traditional pest monitoring device needs to be in direct communication with a background, and communication cost is high.
Specifically, in the embodiment of the present invention, the number of the monitoring points in the target area is multiple, and each monitoring point is distributed in a star topology structure, so that each monitoring point can be uniformly distributed in the target area.
After the target image of the current period of each monitoring point in the target area is acquired, the number of pests in the target image of each current period can be acquired based on the manner. The pest quantity in the target image of each current period is input into the pest situation estimation model, and the estimated value of the pest quantity of each monitoring point in the current period can be obtained, so that the periodic pest situation monitoring of each monitoring point can be realized under the condition that a plurality of large pest monitoring devices are not required to be arranged.
After the estimated value of the pest occurrence number at each monitoring point in the current period is obtained, the position information of each monitoring point is combined, and the pest situation monitoring result of the current period in the target area can be obtained through methods such as numerical calculation, mathematical statistics and the like, so that the global periodic pest situation monitoring of the target area can be realized.
According to the embodiment of the invention, under the condition that the number of the monitoring points in the target area is multiple and the monitoring points are distributed in a star topology structure, the pest condition monitoring result of the current period of the target area is obtained based on the estimated value of the pest occurrence number of the monitoring points in the current period and the position information of the monitoring points, the global periodic pest condition monitoring of the target area can be realized through distributed monitoring under the condition that a plurality of large pest monitoring devices are not required to be arranged, the cost investment can be reduced, the unified transmission and fusion analysis of data can be realized through a network topology structure, and the accuracy of the obtained pest condition monitoring result of the target area is higher.
Based on the content of the above embodiments, the obtaining of the pest situation monitoring result of the target area based on the estimated value of the pest occurrence number at the monitoring point in the current period and the position information of the monitoring point includes: and generating a first pest situation space-time distribution map of the current period as a pest situation monitoring result of the target area of the current period based on the estimated value of the pest occurrence number of the monitoring points of the current period, the estimated value of the pest occurrence number of the monitoring points of each target historical period and the position information of the monitoring points.
The first pest situation space-time distribution diagram is used for describing the space-time distribution of the estimated value of the pest occurrence number in the target area; and the target historical period is a historical period, the interval duration of which with the current period does not exceed the preset duration.
Specifically, after obtaining the estimated value of the number of pest occurrences at each monitoring point in the target area in the current period, the situation that the estimated value of the number of pest occurrences at each monitoring point in the target area changes with time in a past period of time may be obtained based on the estimated value of the number of pest occurrences at each monitoring point in the current period, the estimated value of the number of pest occurrences at each monitoring point in each target history period, and the location information of each monitoring point.
Based on the situation that the estimated value of the pest occurrence number at each monitoring point in the target area changes along with the change of time within a past period of time, a first pest situation space-time distribution map of the current period can be generated to serve as the pest situation monitoring result of the target area of the current period.
It should be noted that specific values of the preset duration may be determined according to actual situations, for example: in the case where the preset time period may be 24 hours, the target history period is a history period within 24 hours before the current period, and accordingly, the first pest situation spatiotemporal distribution map of the current period may be used for spatiotemporal distribution of an estimated value of the number of pest occurrences in the target region within 24 hours before the current period. In the embodiment of the present invention, specific values of the preset duration are not limited.
According to the embodiment of the invention, the first time-space distribution map of the current period is generated based on the estimated value of the pest occurrence number of each monitoring point in the current period, the estimated value of the pest occurrence number of each monitoring point in each target historical period and the position information of each monitoring point, and the first time-space distribution map is used as the pest situation monitoring result of the target area in the current period, so that the pest situation monitoring result of the target area in the current period can be displayed more visually and more clearly.
Based on the content of the above embodiments, in the case that the target data further includes environmental data at the monitoring point, acquiring an insect pest situation monitoring result of the target area in the current period based on the estimated value of the pest occurrence number at the monitoring point in the current period and the position information of the monitoring point, includes: and generating a second pest situation space-time distribution map of the current period as a pest situation monitoring result of the target area of the current period based on the environmental data of the monitoring points of the current period, the estimated value of the pest occurrence number of the monitoring points of each target historical period, the environmental data of the monitoring points of each target historical period and the position information of the monitoring points.
And the second pest situation space-time distribution map is used for describing the estimated value of the pest occurrence number in the target area, the space-time distribution of the environmental data in the target area and the response relation between the estimated value of the pest occurrence number in the target area and the environmental data.
It should be noted that, in the conventional pest situation monitoring method, it is generally difficult to grasp the relationship between the pest occurrence number at the monitoring point and the environmental parameters, and further difficult to implement green prevention and control of pests through environmental regulation.
Specifically, in the embodiment of the present invention, the environmental data at each monitoring point in the target area may be periodically acquired in a plurality of ways, for example: the temperature sensor arranged at each monitoring point can be used for acquiring the temperature at each monitoring point in the current period; or, the humidity at each monitoring point in the current period can be acquired by using a humidity sensor arranged at each monitoring point; still alternatively, the illumination intensity at each monitoring point in the current period may be acquired by using an illumination sensor provided at each monitoring point.
It should be noted that the specific type of the environment data may be determined according to actual situations, for example: the environmental quantities may include temperature data, humidity data, and light intensity data, among others. The specific type of the environment data is not limited in the embodiment of the present invention.
Based on the content of the above embodiments, the environment data includes: at least one of temperature data, humidity data, and illumination intensity data.
After the environmental data at each monitoring point in the target area in the current period and the estimated value of the pest occurrence number are obtained, based on the estimated value of the pest occurrence number at each monitoring point in the target area in the current period, the environmental data at each monitoring point in the current period, the estimated value of the pest occurrence number at each monitoring point in each target history period, the environmental data at each monitoring point in each target history period and the position information of each monitoring point, the condition that the estimated value of the pest occurrence number at each monitoring point in the target area changes with time, the condition that the environmental data at each monitoring point changes with time, and the response relationship between the estimated value of the pest occurrence number at each monitoring point and the environmental data at each monitoring point in the past period can be obtained, and further, the conditions that the estimated value of the pest occurrence number and the environmental data in the target area change with time and position and the condition that the estimated value of the pest occurrence number in the target area changes with the environmental data can be obtained.
And generating a second pest situation space-time distribution map of the current period as the pest situation monitoring result of the target area of the current period based on the estimated value of the pest occurrence number in the target area and the situation that the environmental data change along with the change of time and position in the past period and the situation that the estimated value of the pest occurrence number in the target area changes along with the change of the environmental data.
It should be noted that specific values of the preset duration may be determined according to actual situations, for example: in the case that the preset time period may be 24 hours, the target history period is a history period within 24 hours before the current period, and accordingly, the second pest situation space-time distribution map of the current period may be used for the estimation value of the number of pest occurrences in the target region and the space-time distribution of the environmental data in the target region within 24 hours before the current period, and the mapping relationship between the estimation value of the number of pest occurrences in the target region and the environmental data in the target region. In the embodiment of the present invention, specific values of the preset duration are not limited.
According to the embodiment of the invention, the second time-space distribution diagram of the current period is generated based on the estimated value of the pest occurrence number of each monitoring point in the current period, the environmental data of each monitoring point in the current period, the estimated value of the pest occurrence number of each monitoring point in each target historical period, the environmental data of each monitoring point in each target historical period and the position information of each monitoring point, and the second time-space distribution diagram is used as the pest situation monitoring result of the target area in the current period, so that the pest situation monitoring result of the target area in the current period can be displayed more intuitively and clearly, the response relation between the pest situation and the environmental data can be reflected quantitatively, and a data basis can be provided for more scientific pest control.
Based on the content of the above embodiments, the method for monitoring pest behavior in the target area of the current period further includes the following steps: and controlling the environmental data of at least one monitoring point in the target area based on the second insect situation space-time distribution diagram.
Specifically, based on the second pest situation space-time distribution image, the influence of the environmental data on the pest occurrence number can be acquired, and further, based on the influence, the environmental data of at least one monitoring point in the target area can be controlled, so that pest control can be performed more accurately and more efficiently.
According to the embodiment of the invention, the environmental parameters of at least one monitoring point in the target area are controlled based on the second pest situation space-time distribution map, the environmental data of a local area in the target area can be controlled based on the response relation between the pest situation and the environmental data, and more accurate and efficient green pest control can be realized by controlling the local environmental data of the target area.
Based on the content of the above embodiments, acquiring the number of pests in the target image of the current period includes: and inputting the target image of the current period into the pest recognition model, and acquiring a pest recognition result of the target image of the current period output by the pest recognition model.
The pest recognition model is obtained by training by taking a sample image as a sample and taking a pest recognition result of the sample image as a sample label; the sample image is an image of a sample pest sticking plate; the sample sticky trap is arranged at a sample monitoring point in the sample area.
FIG. 2 is a schematic view of a pest technical result of obtaining a target image in the pest situation monitoring method provided by the present invention. As shown in fig. 2, the training process of the pest identification model may specifically include: an original sample image is acquired. By using the mobile terminal with the image acquisition function, technicians can acquire an image of each pest sticking plate at each sample monitoring point in the sample area as an original sample image; or, the terminal with the image acquisition function, which is pre-arranged in the field, can be controlled to acquire the image of each armyworm plate at each sample monitoring point in the sample area as an original sample image.
And (4) preprocessing data. After the original sample image is acquired, data preprocessing may be performed on the original sample image, and the original sample image after the data preprocessing may be used as the sample image.
The image preprocessing performed on the original sample image may include, but is not limited to, resizing the original sample image to a preset size, rejecting an image that is too bright or too dark, and enhancing the image.
The sample image is marked. After the sample image is obtained, the target pests in the sample image can be labeled, and the labeled sample image can be used as the pest identification result of the sample image.
And (5) training a model. After the sample image and the pest identification result of the sample image are obtained, the sample image can be used as a sample, the pest identification result of the sample image is used as a sample label, and the pest identification model is trained to obtain the trained pest identification model.
After the target image of the current period is obtained, the target image of the current period can be input into the trained pest recognition model, and the pest recognition result of the target image of the current period output by the trained pest recognition model can be obtained.
It should be noted that the fast-RCNN network architecture uses a separate convolutional neural network (RPN) to perform region candidates, which greatly improves the speed of generating region candidates, so that the network can implement end-to-end training, and the fast-RCNN network architecture can effectively reduce the computation amount of the model by sharing the convolutional weight with the RPN. Based on the above advantages of the fast-RCNN network architecture, the pest identification model in the embodiment of the present invention may be constructed based on the fast-RCNN network architecture.
Correspondingly, in the process of training the pest identification model based on the sample image and the pest counting result of the sample image, the threshold (IoU) of the cross frame among the size of the anchor frame, the true value and the predicted value in the pest identification model constructed based on the fast-RCNN network architecture can be adjusted according to the size of the target pest.
And acquiring the quantity of pests in the target image of the current period based on the pest identification result.
Specifically, after the pest identification result of the target image in the current period is obtained, mathematical statistics may be performed on the pest identification result, so that the number of pests in the target image in the current period may be obtained.
According to the embodiment of the invention, the pest identification result of the target image in the current period output by the pest identification model is obtained by inputting the target image in the current period into the pest identification model, and the number of pests in the target image in the current period is obtained based on the pest identification result.
FIG. 3 is a schematic structural diagram of an insect pest situation monitoring device provided by the present invention. The insect condition monitoring device provided by the present invention is described below with reference to fig. 3, and the insect condition monitoring device described below and the insect condition monitoring method provided by the present invention described above can be referred to with each other. As shown in fig. 3, the apparatus includes: data acquisition module 301, pest counting module 302, and pest situation monitoring module 303.
A data obtaining module 301, configured to obtain target data of a current period of a monitoring point in a target area; target data, comprising: a target image; the target image is an image of the sticky trap arranged at the monitoring point.
And a pest counting module 302 for acquiring the number of pests in the target image of the current period.
And the pest condition monitoring module 303 is configured to input the number into the pest condition estimation model, and obtain an estimated value of the pest occurrence number at the monitoring point in the current period, which is output by the pest condition estimation model, as a pest condition monitoring result of the current period of the monitoring point.
The pest situation estimation model is constructed by a linear regression method based on the number of pests captured on the sample pest sticking plate and the actual value of the number of pests at the sample monitoring point; the sample sticky trap is arranged at a sample monitoring point in the sample area.
Specifically, data acquisition module 301, pest counting module 302, and pest status monitoring module 303 are electrically connected.
The pest situation monitoring device in the embodiment of the invention is characterized in that after the target image of the current period of the monitoring point in the target area is obtained and the number of pests in the target image is further obtained, the number is input into the pest situation estimation model, the estimated value of the number of pests occurring at the monitoring point in the current period output by the pest situation estimation model is obtained and is used as the pest situation monitoring result of the current period of the monitoring point, the target image is the image of the pest sticking plate arranged at the monitoring point, the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests occurring at the monitoring point of the sample, the sample pest sticking plate is arranged at the sample monitoring point in the sample area, the number of the pests occurring at the monitoring point of the pest sticking plate can be more scientifically and more accurately estimated based on the linear regression method according to the number of the pests captured by the pest sticking plate, so that a pest control strategy can be made more scientifically according to the pest situation monitoring result, and the use of pesticides can be reduced.
Based on the content of the above embodiments, an insect pest situation monitoring system includes: an insect condition monitoring processor; the insect pest monitoring system further comprises a memory and a program or an instruction which is stored on the memory and can run on the insect pest monitoring processor, and the program or the instruction is executed by the insect pest monitoring processor to execute the insect pest monitoring method.
Specifically, the pest situation monitoring processor can estimate the pest population density near the pest sticking plate more accurately and scientifically based on the number of the pests caught by the pest sticking plate, so that a pest prevention and control strategy can be made more scientifically, and the use of pesticides is reduced.
The details of the process of executing the insect pest monitoring method in the insect pest monitoring process can be found in the above embodiments, and are not described in detail in the embodiments of the present invention.
The pest situation monitoring system in the embodiment of the invention is characterized in that after the number of pests in a current period of monitoring points in a target area is obtained and is further obtained, the number is input into a pest situation estimation model, an estimated value of the number of the pests at the monitoring points in the current period output by the pest situation estimation model is obtained and is used as a pest situation monitoring result of the current period of the monitoring points, the target image is an image of a sticky trap arranged at the monitoring points, the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample sticky trap and an actual value of the number of the pests at the monitoring points of the sample, the sample sticky trap is arranged at the monitoring points in the sample area, the pest occurrence number at the monitoring points of the sticky trap can be more scientifically and more accurately estimated according to the number of the pests captured by the sticky trap based on the linear regression method, so that a pest control strategy can be more scientifically made according to the pest monitoring result, and the use of pesticides can be reduced.
FIG. 4 is a schematic structural diagram of a data acquisition device in the insect pest situation monitoring system provided by the present invention. As shown in fig. 4, the insect condition monitoring system further includes: a data acquisition device 401;
the fixing device 402 is used for fixing the data acquisition device body 403 at a monitoring point;
the image sensor 405 is used for acquiring an image of the pest sticking plate 406 arranged at the monitoring point as a target image and inputting the target image to the central processing unit 404;
and a central processor 404, configured to send the target image to the insect pest situation monitoring processor.
It should be noted that, in the embodiment of the present invention, one data acquisition device 401 is disposed at one monitoring point in the target area, and is used for acquiring field data of the monitoring point. Therefore, in the case where the number of monitoring points in the target area is plural, the number of data collection devices 401 in the insect pest situation monitoring system is also plural.
The fixing device 402 in the data acquisition device 401 may fix the data acquisition device body 403 at the monitoring point by means of suspension, support, and the like, for example: under the condition that the monitoring point is located indoors, the fixing device 402 can hang the data acquisition device body 403 on a ceiling above the monitoring point in a hanging manner; or, in the case that the monitoring point is located outdoors, the fixing device 402 may fix the data acquisition device body 403 at the monitoring point in a manner of being supported by a bracket. The specific structure of the fixing device 402 in the embodiment of the present invention is not limited.
The insect condition monitoring system comprises at least one data acquisition device, distributed data acquisition in a target area can be realized based on the data acquisition device, and the convenience and the data acquisition sufficiency of the insect condition monitoring system in practical application can be improved.
Based on the content of the above embodiments, the data acquisition apparatus body 403 further includes: at least one of a temperature sensor 407, a humidity sensor 408, and an illumination intensity sensor 409.
Specifically, the temperature sensor in the data acquisition device body 403 may be used to acquire temperature data at the monitoring point, and may send the acquired temperature data to the central processor 404.
The humidity sensor in the data acquisition device body 403 may be used to acquire humidity data at the monitoring point, and may send the acquired humidity data to the central processor 404.
The illumination intensity sensor in the data acquisition device body 403 may be configured to acquire illumination intensity data at a monitoring point, and may send the acquired illumination intensity data to the central processing unit 404.
The central processor 404 may send the received temperature data, humidity data, and illumination intensity data to the insect pest monitoring processor.
The data acquisition device body in the embodiment of the invention comprises at least one of the temperature sensor, the humidity sensor or the illumination intensity sensor, so that the problems of space occupation and separation of pest quantity acquisition and environmental data acquisition due to installation can be solved, the equipment investment cost can be further reduced, and integrated monitoring can be realized.
Based on the content of the above embodiments, the fixing device 402 includes: a rope 410, a hanging ring 411 and a level indicating bubble 412.
Specifically, the data acquisition device body 403 is connected with a fixed object 414 above a monitoring point through a rope 410 and a hanging ring 411;
the height of the data acquisition device body 403 can be adjusted by adjusting the length of the cable 410.
The level indicator bubble 412 may be used to determine that the data acquisition device body 403 is level.
In the case where the monitoring point is located indoors, the fixing device 402 can suspend the data acquisition device body 403 from a fixture 414 (e.g., a ceiling) above the monitoring point by using the rope 410 and the hanging ring 411.
The fixing device comprises a rope, a lifting ring and a horizontal indicating bubble, the data acquisition device body can be fixed above the monitoring point in a hanging mode, and distributed data acquisition can be completed under the condition that the ground space is not occupied.
Based on the content of the above embodiments, the data acquisition apparatus body 403 further includes: a power module 415, and an antenna 413.
The target image, temperature data, humidity data, and illumination intensity data received by the central processor 404 may be transmitted to the insect pest monitoring processor via the antenna 413.
The power module 415 can provide power to the components in the data acquisition device body 403.
FIG. 5 is a schematic view of the insect pest situation monitoring system provided by the present invention. As shown in fig. 5, the insect pest situation monitoring system in the embodiment of the present invention may include a field end for field data acquisition, a background end for background computation, and a client end for user interaction.
The field end is a deployment framework of the field and is composed of data acquisition devices arranged at each monitoring point, and target images and environmental data acquired by each data acquisition device are gathered through a field router and then sent to the insect pest situation monitoring processor at the background end through the Internet.
It should be noted that the acquisition cycle of the target image and the environmental data corresponding to each monitoring point may be set remotely through the background terminal.
The background end consists of a background router and an insect condition monitoring processor, and the background router is responsible for receiving data sent by the field end and storing the data in a database of the insect condition monitoring processor; the insect situation monitoring processor is responsible for storing original data, executing an algorithm for processing the data and storing the processed data.
The client mainly refers to a client system, and a user can log in the client system through a mobile phone or a computer to check information such as a pest sticking plate image, a pest counting result, environmental parameters and a trend changing along with time.
Compared with the traditional fixed-point insect condition monitoring method, the distributed insect condition monitoring system provided by the invention collects data at multiple points and uploads the data to the background server through a uniform route.
Fig. 6 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 6: a processor (processor) 610, a communication Interface 620, a memory (memory) 630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 complete communication with each other through the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a method of insect pest monitoring comprising: acquiring target data of a current period of monitoring points in a target area; target data, comprising: a target image; the target image is an image of the pest sticking plate arranged at the monitoring point; acquiring the number of pests in a target image of a current period; inputting the quantity into an insect condition estimation model, and acquiring an estimated value of the quantity of the pests at the monitoring point in the current period output by the insect condition estimation model as an insect condition monitoring result of the current period of the monitoring point; the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests at the sample monitoring point; the sample mythimna separata board is arranged at a sample monitoring point in the sample area.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, wherein when the computer program is executed by a processor, the computer is capable of executing the insect pest situation monitoring method provided by the above methods, the method comprising: acquiring target data of a current period of monitoring points in a target area; target data, comprising: a target image; the target image is an image of the pest sticking plate arranged at the monitoring point; acquiring the number of pests in a target image of a current period; inputting the quantity into an insect condition estimation model, and acquiring an estimated value of the quantity of pests at the monitoring point in the current period output by the insect condition estimation model as an insect condition monitoring result of the monitoring point in the current period; the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests at the sample monitoring point; the sample sticky trap is arranged at a sample monitoring point in the sample area.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor, implements a method for monitoring insect pest situation provided by the above methods, the method comprising: acquiring target data of a current period of monitoring points in a target area; target data, comprising: a target image; the target image is an image of the pest sticking plate arranged at the monitoring point; acquiring the quantity of pests in a target image of a current period; inputting the quantity into an insect condition estimation model, and acquiring an estimated value of the quantity of pests at the monitoring point in the current period output by the insect condition estimation model as an insect condition monitoring result of the monitoring point in the current period; the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests at the sample monitoring point; the sample mythimna separata board is arranged at a sample monitoring point in the sample area.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (15)
1. An insect pest situation monitoring method is characterized by comprising the following steps:
acquiring target data of a current period of monitoring points in a target area; the target data comprises: a target image; the target image is an image of the pest sticking plate arranged at the monitoring point;
acquiring the quantity of pests in a target image of a current period;
inputting the quantity into an insect condition estimation model, and acquiring an estimated value of the pest occurrence quantity at the monitoring point in the current period output by the insect condition estimation model as an insect condition monitoring result of the current period of the monitoring point;
the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests at the sample monitoring point; the sample pest sticking plate is arranged at a sample monitoring point in the sample area.
2. The pest situation monitoring method according to claim 1, wherein when there are a plurality of monitoring points in the target area, the inputting the number into a pest situation estimation model, obtaining an estimated value of pest occurrence number at the monitoring points in the current cycle output by the pest situation estimation model, and after taking the estimated value as a result of the pest situation monitoring in the current cycle of the monitoring points, further comprising:
acquiring an insect pest situation monitoring result of the target area based on the estimated value of the pest occurrence number at the monitoring point and the position information of the monitoring point in the current period;
wherein, each monitoring point is distributed in a star topology mode.
3. The pest situation monitoring method according to claim 2, wherein the obtaining of the pest situation monitoring result of the target area based on the estimated value of the pest occurrence number at the monitoring point and the position information of the monitoring point in the current period comprises:
generating a first pest situation space-time distribution map of the current period based on the estimated value of the pest occurrence number of the monitoring points of the current period, the estimated value of the pest occurrence number of the monitoring points of each target historical period and the position information of the monitoring points, and taking the first pest situation space-time distribution map as a pest situation monitoring result of the target area of the current period;
wherein the first pest situation spatiotemporal distribution map is used for describing a spatiotemporal distribution of estimated values of pest occurrence number in the target area; and the target historical period is a historical period, wherein the interval duration between the target historical period and the current period does not exceed the preset duration.
4. The insect pest situation monitoring method according to claim 2, wherein in case that the target data further includes environmental data at the monitoring point, the obtaining of the insect pest situation monitoring result of the target area based on the estimated value of the number of pest occurrences at the monitoring point and the location information of the monitoring point in the current cycle comprises:
generating a second pest situation space-time distribution map of the current period based on the environmental data of the monitoring points of the current period, the estimated value of the pest occurrence number of the monitoring points of each target historical period, the environmental data of the monitoring points of each target historical period and the position information of the monitoring points, and taking the second pest situation space-time distribution map as the pest situation monitoring result of the target area of the current period;
and the second pest situation space-time distribution map is used for describing the estimated value of the pest occurrence number in the target area, the space-time distribution of the environment data in the target area and the response relation between the estimated value of the pest occurrence number in the target area and the environment data.
5. The pest situation monitoring method according to claim 4, wherein the generating of the second pest situation space-time distribution map of the current cycle based on the environmental data of the monitoring point of the current cycle, the estimated value of the pest occurrence number of the monitoring point of each target history cycle, the environmental data of the monitoring point of each target history cycle and the position information of the monitoring point further comprises:
and controlling the environmental data of at least one monitoring point in the target area based on the second pest situation space-time distribution image.
6. The insect situation monitoring method according to any one of the claims 1 to 5, wherein the obtaining of the number of pests in the target image of the current period comprises:
inputting the target image of the current period into a pest recognition model, and acquiring a pest recognition result of the target image of the current period output by the pest recognition model;
acquiring the number of pests in the target image of the current period based on the pest identification result;
the pest identification model is obtained by training by taking a sample image as a sample and taking a pest identification result of the sample image as a sample label; the sample image is an image of a sample pest sticking plate; the sample mythimna separata board is arranged at a sample monitoring point in the sample area.
7. The insect situation monitoring method according to claim 4 or 5, wherein the environmental data comprises: at least one of temperature data, humidity data, and light intensity data.
8. An insect condition monitoring device, comprising:
the data acquisition module is used for acquiring target data of a current period of monitoring points in a target area; the target data comprises: a target image; the target image is an image of the pest sticking plate arranged at the monitoring point;
the pest counting module is used for acquiring the number of pests in the target image of the current period;
the pest situation monitoring module is used for inputting the quantity into a pest situation estimation model, acquiring an estimated value of pest occurrence quantity at the monitoring point in the current period output by the pest situation estimation model, and taking the estimated value as a pest situation monitoring result of the current period of the monitoring point;
the pest situation estimation model is constructed by a linear regression method based on the number of the pests captured on the sample pest sticking plate and the actual value of the number of the pests at the sample monitoring point; the sample pest sticking plate is arranged at a sample monitoring point in the sample area.
9. An insect condition monitoring system, comprising: an insect condition monitoring processor; further comprising a memory and a program or instructions stored on the memory and executable on the insect condition monitoring processor, the program or instructions when executed by the insect condition monitoring processor performing the insect condition monitoring method of any one of claims 1 to 7.
10. The insect condition monitoring system of claim 9 further comprising: a data acquisition device;
the data acquisition device comprises: the device comprises a fixing device and a data acquisition device body; the data acquisition device body includes: an image sensor and a central processor; the central processor is electrically connected with the image sensor and the insect pest situation monitoring processor;
the fixing device is used for fixing the data acquisition device body at a monitoring point;
the image sensor is used for collecting an image of the pest sticking plate arranged at the monitoring point as a target image and inputting the target image to the central processing unit;
and the central processing unit is used for sending the target image to the insect pest situation monitoring processor.
11. The insect condition monitoring system of claim 10 wherein the data acquisition device body further comprises: at least one of a temperature sensor, a humidity sensor, and a light sensor.
12. The insect situation monitoring system of claim 10 wherein the securing means comprises a rope, a bail, and a level indicating bubble;
the data acquisition device body is connected with a fixed object above the monitoring point through the rope and the lifting ring; the height of the data acquisition device body can be adjusted by adjusting the length of the rope.
13. The insect situation monitoring system according to any one of claims 10 to 12, wherein the data collecting device body further comprises: a power module and an antenna.
14. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the insect pest situation monitoring method according to any one of claims 1 to 7 when executing the program.
15. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the insect situation monitoring method according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117237820A (en) * | 2023-09-26 | 2023-12-15 | 中化现代农业有限公司 | Method and device for determining pest hazard degree, electronic equipment and storage medium |
| CN117272028A (en) * | 2023-10-19 | 2023-12-22 | 中国铁塔股份有限公司吉林省分公司 | Insect condition monitoring method and system based on situation awareness of Internet of things |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117237820A (en) * | 2023-09-26 | 2023-12-15 | 中化现代农业有限公司 | Method and device for determining pest hazard degree, electronic equipment and storage medium |
| CN117272028A (en) * | 2023-10-19 | 2023-12-22 | 中国铁塔股份有限公司吉林省分公司 | Insect condition monitoring method and system based on situation awareness of Internet of things |
| CN117272028B (en) * | 2023-10-19 | 2024-01-26 | 中国铁塔股份有限公司吉林省分公司 | Insect condition monitoring method and system based on situation awareness of Internet of things |
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