Plant protection monitoring system based on image technology

Abstract

The invention relates to the technical field of graphic data reading, and discloses a plant protection monitoring system based on an image technology, and the system comprises an image recognition module, a growth state detection module, an insect recognition module, an environment information maintenance module, and a data analysis module. The health conditions of the plants under different conditions are judged by comparing information such as growth states of the plants, types of surrounding insects, air temperature and humidity of soil, sunlight irradiation conditions and the like, and whether various plants are in a healthy state or not is further comprehensively judged by combining various coefficients. The health state of the plant is used as reference data of plant protection monitoring to perform protection monitoring on the plant, and the accuracy of plant protection monitoring can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of graphic data reading, and particularly to a plant protection monitoring system based on image technology. Background Art

[0002] With the rapid development of computer technology and digital image processing technology, the emergence of high-resolution image sensors enables the acquisition of extremely clear plant images, capturing fine features such as lesions and pest traces on plant leaves. A plant protection detection system based on image processing technology can identify the health status of plants through high-resolution images.

[0003] However, for a long time, the detection of plant diseases and pests and the assessment of growth conditions mainly rely on manual inspections. Plant protection personnel rely on visual observation and experience to judge whether plants are infected, infested with pests, and whether their growth is normal. This method is extremely inefficient, and it is difficult to achieve comprehensive and timely detection when facing a large area of plants. Therefore, how to comprehensively and timely detect the health status of plants has become an urgent problem to be solved. Summary of the Invention

[0004] The present invention provides a plant protection monitoring system based on image technology, and its main purpose is to solve the problems of low efficiency and low accuracy in image detection, recognition, and analysis of a plant protection monitoring system based on image technology.

[0005] To achieve the above purpose, a plant protection monitoring system based on image technology provided by the present invention includes:

[0006] A plant protection monitoring system based on image acquisition technology, characterized in that the system includes an image recognition module, a growth status detection module, an insect recognition module, an environmental information maintenance module, and a data analysis module, wherein:

[0007] The image recognition module is used to collect plant images of a target plant and determine the plant category of the target plant based on the plant images;

[0008] The growth status detection module is used to extract image features of the plant images and generate a growth coefficient of the target plant based on the image features, the plant category, and a preset growth coefficient algorithm;

[0009] The insect recognition module is used to identify insects that promote the growth of plants based on the image features, generate an insect growth promotion coefficient of the target plant, identify insects that hinder the growth of plants, generate an insect growth hindrance coefficient of the target plant, and determine the impact of insects on the growth of the target plant based on the insect growth promotion coefficient and the insect growth hindrance coefficient;

[0010] The environmental information maintenance module is used to collect the environmental data of the target plant and generate the environmental growth coefficient of the target plant based on the environmental data and a preset environmental growth coefficient algorithm;

[0011] The data analysis module is used to obtain the management data of the target plant and generate the artificial growth coefficient of the target plant based on the management data and a preset artificial growth coefficient algorithm;

[0012] Generate a plant health coefficient based on the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, the artificial growth coefficient, and a preset plant health coefficient algorithm;

[0013] Conduct a first analysis on the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, and the artificial growth coefficient, judge the health condition of the plant through the analysis result, and judge the health degree of the target plant a second time based on the plant health coefficient.

[0014] Optionally, the generating the growth coefficient of the target plant based on the image feature, the plant category, and a preset growth coefficient algorithm includes:

[0015] The calculation formula of the growth coefficient is as follows:

[0016]

[0017] Wherein, is the time of the th acquisition of the th type of target plant image in the image feature, is the volume of the th acquisition of the th type of target plant in the image feature, is the growth coefficient of the th acquisition of the th type of target plant, wherein, represents the plant category, represents the acquisition times, wherein the image feature includes: acquisition time point, types and quantities of insects included in the acquired plant image, and volume of the plant in the acquired plant image.

[0018] Optionally, the identifying the insects that promote the growth of the plant and generating the insect growth promotion coefficient of the target plant includes:

[0019] The calculation formula of the insect growth promotion coefficient is as follows:

[0020]

[0021] Among them, is the th type of insect that promotes the growth of the target plant collected during the th collection, is the time of the th collection of the th type of target plant image, is the preset maximum number of insects that promote plant growth, is the growth coefficient of the th type of target plant for the th collection, is the insect growth promotion coefficient calculated from the data of the jth collection, where represents the category of insects that promote the growth of the target plant, represents the plant category, represents the collection times.

[0022] Optionally, identifying the insects that hinder the growth of the plant and generating the insect growth inhibition coefficient for the target plant includes:

[0023] The calculation formula of the insect growth inhibition coefficient is as follows:

[0024]

[0025] Where is the th type of insect that hinders the growth of the target plant collected during the th collection, is the time of the th collection of the th type of target plant image, is the th collection of the th type of target plant growth coefficient, is the insect growth inhibition coefficient calculated from the data of the jth collection, where represents the category of insects that hinder the growth of the target plant, represents the plant category, represents the collection times.

[0026] Optionally, determining the influence of the insects on the growth of the target plant based on the insect growth promotion coefficient and the insect growth inhibition coefficient includes:

[0027] When the total number of insects that promote plant growth is less than or equal to the preset maximum number of insects that promote plant growth, the insects have a promoting effect on the growth of the target plant, accelerating the growth rate of the plant;

[0028] When the total number of insects that promote plant growth is greater than the preset maximum number of insects that promote plant growth, the promoting effect of the insects on the growth of the target plant is higher than the standard healthy level, resulting in an excessively fast growth and reproduction rate of the plant. Insects exceeding the preset maximum number of insects that promote plant growth have an inhibitory effect on the growth of the plant;

[0029] Insects that have an inhibitory effect on plant growth have an inhibitory effect on the growth of the target plant, causing the plant to grow slowly or suffer from insect pests. By comprehensively analyzing the insect growth promotion coefficient and the insect growth inhibition coefficient, when the difference between the insect growth promotion coefficient and the insect growth inhibition coefficient is positive, the insects ultimately have a promoting effect on the target plant, and vice versa, the insects ultimately have an inhibitory effect on the target plant.

[0030] Optionally, generating the environmental growth coefficient of the target plant based on the environmental data and a preset environmental growth coefficient algorithm includes:

[0031] The calculation formula for the environmental growth coefficient is as follows:

[0032]

[0033] Wherein, is the soil humidity around the th class of target plants collected for the th time in the environmental data, is the preset optimal soil humidity, is the air humidity around the th class of target plants collected for the th time in the environmental data, is the preset optimal air humidity, is the air temperature around the th class of target plants collected for the th time in the environmental data, is the preset optimal air temperature, is the sunlight irradiation duration of the th class of target plants in the environmental data, is the preset optimal sunlight irradiation duration, is for the th collection of the th class of target plants' environmental growth coefficient, 、 、 and They are respectively a preset soil humidity weight factor, an air humidity weight factor, an air temperature weight factor, and a sunlight irradiation weight factor, where represents the plant category, represents the number of collections, where the environmental data includes: the temperature, humidity, and sunlight irradiation duration of the target plant and the surrounding soil and air.

[0034] Optionally, generating the artificial growth coefficient of the target plant based on the management data and a preset artificial growth coefficient algorithm includes:

[0035] The calculation formula of the artificial growth coefficient is as follows:

[0036]

[0037] where is the pruning time of the th collection of the th category of target plants, is the preset optimal pruning interval duration, is the fertilization time of the th collection of the th category of target plants, is the preset optimal fertilization interval duration, is the watering time point of the th collection of the th category of target plants, is the preset optimal watering time interval, is the watering amount of the th collection of the th category of target plants, is the preset optimal watering amount, is the pest control time of the th collection of the th category of target plants, is the preset optimal pest control time interval, is the th collection of the th category of target plants' artificial growth coefficient, , , , and respectively represent the pruning time weight factor, the fertilization time weight factor, the watering time weight factor, the watering amount weight factor, and the pest control time weight factor, where represents the plant category, Indicates the number of acquisitions. Among them, the management data includes: data generated by managers for pruning, fertilizing, watering, and pest control operations on the target plants.

[0038] Optionally, generating the plant health coefficient based on the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, the artificial growth coefficient, and a preset plant health coefficient algorithm includes:

[0039] The calculation formula for the plant health coefficient is as follows:

[0040]

[0041] Wherein, is the growth coefficient of the th category of target plants in the th acquisition, is the insect growth promotion coefficient calculated from the data of the th acquisition, is the insect growth inhibition coefficient calculated from the data of the th acquisition, is the environmental growth coefficient of the th category of target plants in the th acquisition, is the artificial growth coefficient of the th category of target plants in the th acquisition, is the health coefficient of the th category of target plants in the th acquisition,

[0042] Optionally, perform a first analysis on the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, and the artificial growth coefficient, and judge the health status of the plant through the analysis results, including:

[0043] When the growth coefficient exceeds the preset optimal growth coefficient, it is determined that the plant growth rate is too fast and affects the plant health;

[0044] When the difference between the insect growth promotion coefficient and the insect growth inhibition coefficient is greater than the preset optimal insect coefficient, it is determined that the insects finally have an inhibitory effect on the growth of the plant and affect the plant health;

[0045] When the environmental growth coefficient is lower than a preset optimal environmental growth coefficient, it is determined that the surrounding environment of the plant has an impact on the growth of the plant;

[0046] When the artificial growth coefficient is lower than a preset optimal artificial coefficient, it is determined that the artificial operation hinders the growth of the plant, resulting in an impact on the health condition.

[0047] Optionally, the second determination of the health degree of the target plant based on the plant health coefficient includes:

[0048] When the plant health coefficient is within a preset optimal plant health coefficient range, it is determined that the target plant is in a healthy state;

[0049] When the plant health coefficient is lower than the preset optimal plant health coefficient range, it is determined that the target plant is in a sub-healthy state.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] The present invention accurately identifies the pathological state and pest situation of plants through image recognition technology, which can greatly improve the detection efficiency compared with traditional manual inspections.

[0052] By collecting image technology to analyze the growth state of plants, the impact of insects on plant growth, and the impact of the environment on plant growth, the accuracy of monitoring the growth state of plants and the comprehensiveness of monitoring data are improved through diversified data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a functional module diagram of a plant protection monitoring system based on image technology provided by an embodiment of the present invention;

[0054] The implementation, functional features, and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments belong to a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0056] The terms used in the embodiments of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The singular forms "the" and "said" used in the embodiments of the present invention and the appended claims are also intended to include the plural forms unless the context clearly dictates otherwise. "Plurality" generally includes at least two.

[0057] Depending on the context, the words "if" or "when" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detected (stated condition or event)" or "in response to detecting (stated condition or event)".

[0058] In addition, the step timing in the following method embodiments is only an example and is not strictly limited.

[0059] In fact, the server device deployed by the plant protection monitoring system based on the image acquisition technology may be composed of one or more devices. The above-mentioned plant protection monitoring system based on the image acquisition technology: business instance, virtual machine, hardware device. Simply put, the plant protection monitoring system based on the image acquisition technology can be understood as a software deployed on a cloud node for providing the plant protection monitoring system based on the image acquisition technology for each client. Alternatively, the plant protection monitoring system based on the image acquisition technology can also be implemented as a virtual machine deployed on one or more devices in the cloud node. An application software for managing each client is installed in the virtual machine. Alternatively, the plant protection monitoring system based on the image acquisition technology can also be implemented as a server composed of many identical or different types of hardware devices, and one or more hardware devices are set to provide the plant protection monitoring system based on the image acquisition technology for each client.

[0060] In the implementation form, the plant protection monitoring system based on the image acquisition technology and the client adapt to each other. That is, if the plant protection monitoring system based on the image acquisition technology is an application installed on the cloud service platform, then the client is a client that establishes a communication connection with the application; or if the plant protection monitoring system based on the image acquisition technology is implemented as a website, then the client is implemented as a web page; or if the plant protection monitoring system based on the image acquisition technology is implemented as a cloud service platform, then the client is implemented as a small program in an instant messaging application.

[0061] As Figure 1 shown, it is the system architecture diagram of the plant protection monitoring system based on the image acquisition technology provided by an embodiment of the present invention.

[0062] The plant protection monitoring system based on image acquisition technology described in the present invention can be set up in a cloud server. In terms of implementation form, it can be used as one or more service devices, or can be installed as an application on the cloud (such as the server of a mobile service operator, a server cluster, etc.), or can also be developed into a website. According to the functions achieved, the plant protection monitoring system based on image acquisition technology may include an image recognition module 101, a growth state detection module 102, an insect recognition module 103, an environmental information maintenance module 104, and a data analysis module 105. The modules described in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by the processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0063] In an embodiment of the present invention, in the plant protection monitoring system based on image acquisition technology, each of the above modules can be independently implemented and called by other modules. Here, the call can be understood as that a certain module can be connected to multiple modules of another type and provide corresponding services for the multiple modules it is connected to. For example, the sharing and evaluation module can call the same information collection module to obtain the information collected by the information collection module. Based on the above characteristics, in the plant protection monitoring system based on image acquisition technology provided in the embodiment of the present invention, without modifying the program code, the applicable range of the plant protection monitoring system architecture based on image acquisition technology can be adjusted by adding modules and directly calling, so as to achieve cluster-level horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the plant protection monitoring system based on image acquisition technology. In practical applications, the above modules can be set in the same device or different devices, or can also be set in virtual devices, such as service instances in a cloud server.

[0064] Next, in combination with specific embodiments, the respective components and specific working processes of the plant protection monitoring system based on image acquisition technology will be described separately:

[0065] A plant protection monitoring system based on image acquisition technology, characterized in that the system includes: an image recognition module, a growth state detection module, an insect recognition module, an environmental information maintenance module, and a data analysis module, wherein:

[0066] The image recognition module is used to collect plant images of target plants and determine the plant categories of the target plants based on the plant images;

[0067] The growth state detection module is used to extract the image features of the plant images and generate the growth coefficients of the target plants based on the image features, the plant categories, and a preset growth coefficient algorithm;

[0068] In a specific example, generating the growth coefficient of the target plant based on the image features, the plant category, and a preset growth coefficient algorithm includes:

[0069] The calculation formula of the growth coefficient is as follows:

[0070]

[0071] Wherein, is the time of the th collection of the th type of target plant image in the image features, is the volume of the th collection of the th type of target plant in the image features, is the growth coefficient of the th collection of the th type of target plant, wherein, represents the plant category, represents the collection times, wherein the image features include: the collection time point, the types and quantities of insects included in the collected plant image, and the volume of the plant in the collected plant image.

[0072] It should be noted that the calculation formula of the growth coefficient means that by comparing any two adjacent collection times and the corresponding collected plant volumes, the change degree of the plant volume per unit time is obtained. The greater the change degree of the plant, the greater the obtained growth coefficient, indicating that the growth condition of the plant is better.

[0073] Furthermore, in the calculation formula of the growth coefficient, the magnitude of the growth coefficient changes with changing, and when

[0074] The insect recognition module is used to recognize the insects that promote the growth of the plant based on the image features, generate the insect growth promotion coefficient of the target plant, recognize the insects that hinder the growth of the plant, generate the insect growth hindrance coefficient of the target plant, and determine the influence of the insects on the growth of the target plant based on the insect growth promotion coefficient and the insect growth hindrance coefficient;

[0075] In a specific example, recognizing the insects that promote the growth of the plant and generating the insect growth promotion coefficient of the target plant includes:

[0076] The calculation formula of the insect growth promotion coefficient is as follows:

[0077]

[0078] Among them, is the th type of insects that promote the growth of the target plant collected during the th collection, is the time of the th collection of the th type of target plant image, is the preset maximum number of insects that promote plant growth, is the growth coefficient of the th type of target plant in the th collection, is the insect growth promotion coefficient calculated from the data collected in the jth collection. Among them, represents the category of insects that promote the growth of the target plant, represents the plant category, represents the collection times.

[0079] Furthermore, when , the insect growth promotion coefficient increases with the increase of , and when , the insect growth promotion coefficient increases with the increase of .

[0080] In a specific example, identifying the insects that hinder the growth of the plant and generating the insect growth hindrance coefficient of the target plant includes:

[0081] The calculation formula of the insect growth hindrance coefficient is as follows:

[0082]

[0083] Among them, is the th type of insects that hinder the growth of the target plant collected during the th collection, is the time of the th collection of the th type of target plant image, is the growth coefficient of the th type of target plant in the th collection, is the insect growth hindrance coefficient calculated from the data collected in the jth collection. Among them, represents the category of insects that hinder the growth of the target plant, represents the plant category, represents the collection times.

[0084] It should be noted that the insect growth inhibition coefficient increases with the increase.

[0085] In a specific example, determining the influence of insects on the growth of the target plant based on the insect growth promotion coefficient and the insect growth inhibition coefficient includes:

[0086] When the total number of insects that promote plant growth is less than or equal to the preset maximum number of insects that promote plant growth, the insects have a promoting effect on the growth of the target plant, accelerating the growth rate of the plant;

[0087] When the total number of insects that promote plant growth is greater than the preset maximum number of insects that promote plant growth, the promoting effect of the insects on the growth of the target plant is higher than the standard healthy level, resulting in an overly fast growth and reproduction rate of the plant. Insects exceeding the preset maximum number of insects that promote plant growth have an inhibitory effect on the growth of the plant;

[0088] Insects that have an inhibitory effect on plant growth have an inhibitory effect on the growth of the target plant, causing the plant to grow slowly or suffer from insect disasters. By comprehensively analyzing the insect growth promotion coefficient and the insect growth inhibition coefficient, when the difference between the insect growth promotion coefficient and the insect growth inhibition coefficient is positive, the insects ultimately have a promoting effect on the target plant, and vice versa, the insects ultimately have an inhibitory effect on the target plant.

[0089] The environmental information maintenance module is used to collect the environmental data of the target plant and generate the environmental growth coefficient of the target plant based on the environmental data and a preset environmental growth coefficient algorithm;

[0090] In a specific example, generating the environmental growth coefficient of the target plant based on the environmental data and a preset environmental growth coefficient algorithm includes:

[0091] The calculation formula for the environmental growth coefficient is as follows:

[0092]

[0093] Where is the soil humidity around the th class of target plants collected for the th time in the environmental data, is the preset optimal soil humidity, is the air humidity around the th class of target plants collected for the th time in the environmental data, is the preset optimal air humidity, is the The air temperature around the nth type of target plant during the nth collection, is the preset optimal air temperature, is the sunlight exposure duration of the nth type of target plant in the environmental data, is the preset optimal sunlight exposure duration, is the environmental growth coefficient of the nth type of target plant during the nth collection, , , and are respectively the preset soil humidity weight factor, air humidity weight factor, air temperature weight factor, and sunlight exposure weight factor. Among them, represents the plant category, represents the collection times. Among them, the environmental data includes: the temperature, humidity, and sunlight exposure duration of the target plant and the surrounding soil and air.

[0094] It should be noted that the environmental growth coefficient is affected by various factors such as soil humidity, air humidity, air temperature, and sunlight exposure. Excessive influence of any one of these conditions will affect the health of the plant. Among them, the soil humidity weight factor, air humidity weight factor, air temperature weight factor, and sunlight exposure weight factor are determined by the degree of influence of each condition on plant growth and health status;

[0095] Taking the collection times as the x-axis and the soil humidity as the y-axis, calculate the integral with as the upper limit and as the lower limit, denoted as the soil humidity integral. Similarly, calculate the air humidity integral, air temperature integral, and sunlight exposure integral. The ratio of the soil humidity integral, air humidity integral, air temperature integral, and sunlight exposure integral is the ratio of the soil humidity weight factor, air humidity weight factor, air temperature weight factor, and sunlight exposure weight factor.

[0096] The data analysis module is used to obtain the management data of the target plant and generate the artificial growth coefficient of the target plant based on the management data and the preset artificial growth coefficient algorithm;

[0097] Based on the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, the artificial growth coefficient, and the preset plant health coefficient algorithm, generate the plant health coefficient;

[0098] Perform a first analysis on the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, and the artificial growth coefficient, and judge the health condition of the plant based on the analysis result. Then, based on the plant health coefficient, judge the health degree of the target plant for the second time.

[0099] In a specific example, generating the artificial growth coefficient of the target plant based on the management data and a preset artificial growth coefficient algorithm includes:

[0100] The calculation formula of the artificial growth coefficient is as follows:

[0101]

[0102] Where, is the pruning time of the th category of target plants collected for the th time in the management data, is the preset optimal pruning interval duration, is the fertilization time of the th category of target plants collected for the th time in the management data, is the preset optimal fertilization interval duration, is the watering time point of the th category of target plants collected for the th time in the management data, is the preset optimal watering time interval, is the watering amount of the th category of target plants collected for the th time in the management data, is the preset optimal insect repellent time interval, is the th category of target plants collected for the , , , and respectively represent the pruning time weight factor, the fertilization time weight factor, the watering time weight factor, the watering amount weight factor, and the insect repellent time weight factor. Where, represents the plant category, represents the number of collections. Wherein, the management data includes: data generated by the management staff for pruning, fertilizing, watering, and insect repelling operations on the target plant.

[0103] It should be noted that the artificial growth coefficient is affected by the pruning time interval, fertilization time interval, watering time interval, watering amount, and pest control time interval. The weight factor of each influencing condition is determined by the impact of each condition on plant growth and health status.

[0104] Taking the number of collections as the axis, and the pruning time as the axis, calculate the integral with as the upper limit and as the lower limit, denoted as the pruning time integral. Similarly, calculate the fertilization time integral, watering time integral, watering amount integral, and pest control time integral. The ratio of the pruning time integral, fertilization time integral, watering time integral, watering amount integral, and pest control time integral is the ratio of the pruning time weight factor, fertilization time weight factor, watering time weight factor, watering amount weight factor, and pest control time weight factor.

[0105] In a specific example, generating the plant health coefficient based on the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, the artificial growth coefficient, and a preset plant health coefficient algorithm includes:

[0106] The calculation formula for the plant health coefficient is as follows:

[0107]

[0108] where is the growth coefficient of the th collection of the th type of target plant, is the insect growth promotion coefficient calculated from the jth collection data, is the insect growth inhibition coefficient calculated from the jth collection data, is the environmental growth coefficient of the th collection of the th type of target plant, is the artificial growth coefficient of the th collection of the th type of target plant, is the health coefficient of the th collection of the th type of target plant, , , and respectively represent the natural growth weight factor, the insect influence weight factor, the environmental influence weight factor, and the artificial influence weight factor. Among them, represents the plant category, represents the number of collections.

[0109] It should be noted that the plant health coefficient is affected by the growth coefficient, the environmental growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, and the artificial growth coefficient. The influence degree of each coefficient on the plant growth and health situation determines the weight factor of each coefficient.

[0110] Taking the number of collections as the x-axis and the growth coefficient as the y-axis, calculate the integral with as the upper limit and as the lower limit, denoted as the growth coefficient integral. Taking the number of collections as the x-axis and the insect growth promotion coefficient as the y-axis, calculate the integral with as the upper limit and as the lower limit, denoted as the insect coefficient integral. Similarly, calculate the environmental coefficient integral and the artificial coefficient integral. The ratio of the growth coefficient integral, the insect coefficient integral, the environmental coefficient integral, and the artificial coefficient integral is the ratio of the natural growth weight factor, the insect influence weight factor, the environmental influence weight factor, and the artificial influence weight factor.

[0111] In a specific example, the first analysis of the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, and the artificial growth coefficient is carried out, and the health situation of the plant is judged through the analysis results, including:

[0112] When the growth coefficient exceeds the preset optimal growth coefficient, it is determined that the plant growth rate is too fast, affecting the plant health.

[0113] When the difference between the insect growth promotion coefficient and the insect growth inhibition coefficient is greater than the preset optimal insect coefficient, it is determined that the insects finally have an inhibitory effect on the plant growth, affecting the plant health.

[0114] When the environmental growth coefficient is lower than the preset optimal environmental growth coefficient, it is determined that the plant surrounding environment has an impact on the plant growth.

[0115] When the artificial growth coefficient is lower than the preset optimal artificial coefficient, it is determined that the artificial operation hinders the plant growth, resulting in the health situation being affected.

[0116] It should be noted that the preset optimal growth coefficient, the preset optimal insect coefficient, the preset optimal environmental growth coefficient, and the preset optimal artificial coefficient respectively represent the growth coefficient value, the insect coefficient value, the environmental growth coefficient value, and the artificial growth coefficient value corresponding to the plant under the best growth conditions.

[0117] In a specific example, the second determination of the health degree of the target plant based on the plant health coefficient includes:

[0118] When the plant health coefficient is within the preset optimal plant health coefficient range, it is determined that the target plant is in a healthy state;

[0119] When the plant health coefficient is lower than the preset optimal plant health coefficient range, it is determined that the target plant is in a sub-healthy state.

[0120] It should be noted that the preset optimal plant health coefficient range refers to the floating range of the growth coefficient corresponding to the plant when it remains healthy.

[0121] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0122] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence is a theory, method, technology and application system that uses a digital computer or a machine controlled by a digital computer to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0123] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A plant protection monitoring system based on image acquisition technology, characterized in that, The system includes an image recognition module, a growth status detection module, an insect recognition module, an environmental information maintenance module, and a data analysis module, where: The image recognition module is used to collect plant images of a target plant and determine the plant category of the target plant based on the plant images; The growth status detection module is used to extract image features of the plant images and generate a growth coefficient of the target plant based on the image features, the plant category, and a preset growth coefficient algorithm; The insect recognition module is used to identify insects that promote plant growth based on the image features, generate an insect growth promotion coefficient of the target plant, identify insects that hinder plant growth, generate an insect growth hindrance coefficient of the target plant, and determine the impact of insects on the growth of the target plant based on the insect growth promotion coefficient and the insect growth hindrance coefficient; The environmental information maintenance module is used to collect environmental data of the target plant and generate an environmental growth coefficient of the target plant based on the environmental data and a preset environmental growth coefficient algorithm; The data analysis module is used to obtain management data of the target plant and generate an artificial growth coefficient of the target plant based on the management data and a preset artificial growth coefficient algorithm; Generate a plant health coefficient based on the growth coefficient, the insect growth promotion coefficient, the insect growth hindrance coefficient, the environmental growth coefficient, the artificial growth coefficient, and a preset plant health coefficient algorithm; Conduct a first analysis on the growth coefficient, the insect growth promotion coefficient, the insect growth hindrance coefficient, the environmental growth coefficient, and the artificial growth coefficient, judge the health status of the plant through the analysis results, and judge the health degree of the target plant for the second time based on the plant health coefficient.

2. The plant protection monitoring system based on image technology according to claim 1, characterized in that, The generating the growth coefficient of the target plant based on the image features, the plant category, and a preset growth coefficient algorithm includes: The calculation formula of the growth coefficient is as follows: Among them, is the time of the th acquisition of the th class of target plant images, is the volume of the th acquisition of the th class of target plants, is the growth coefficient of the th acquisition of the th class of target plants. Among them, represents the plant category, represents the number of acquisitions. Among them, the image features include: the acquisition time point, the types and quantities of insects included in the acquired plant images, and the volume of the plants in the acquired plant images.

3. The plant protection monitoring system based on image technology according to claim 1, characterized in that, The identifying insects that promote plant growth and generating an insect growth promotion coefficient of the target plant includes: The calculation formula of the insect growth promotion coefficient is as follows: Among them, is the th collection of the th type of insect that promotes the growth of the target plant, is the time of the th collection of the th type of target plant image, is the preset maximum number of insects that promote plant growth, is the th growth coefficient of the th type of target plant, is the insect growth promotion coefficient calculated from the data of the jth collection, where represents the category of insects that promote the growth of the target plant, represents the plant category, represents the collection times.

4. The plant protection monitoring system based on image technology according to claim 1, characterized in that, The identifying insects that hinder plant growth and generating an insect growth hindrance coefficient of the target plant includes: The calculation formula of the insect growth hindrance coefficient is as follows: Among them, is the th time of collection in the image features, and is the th type of insect that hinders the growth of the target plant, is the time of the th collection of the th type of target plant image, is the th collection of the th type of growth coefficient of the target plant, is the insect growth inhibition coefficient calculated from the data collected at the jth time. Among them, represents the category of insects that hinder the growth of the target plant, represents the plant category, represents the number of collections.

5. The plant protection monitoring system based on image technology according to claim 4, wherein, The determining the impact of insects on the growth of the target plant based on the insect growth promotion coefficient and the insect growth hindrance coefficient includes: When the total number of insects that promote plant growth is less than or equal to the preset maximum number of insects that promote plant growth, the insects have a promoting effect on the growth of the target plant, and the growth rate of the plant is accelerated; When the total number of insects that promote plant growth is greater than the preset maximum number of insects that promote plant growth, the promoting effect of the insects on the growth of the target plant is higher than the standard health level, resulting in the growth and reproduction rate of the plant being too fast. The insects exceeding the preset maximum number of insects that promote plant growth have a hindering effect on the growth of the plant; Insects that impede plant growth have an inhibitory effect on the growth of the target plant, causing the plant to grow slowly or suffer from insect pests. By comprehensively analyzing the insect growth promotion coefficient and the insect growth inhibition coefficient, when the difference between the insect growth promotion coefficient and the insect growth inhibition coefficient is positive, the insect ultimately promotes the growth of the target plant; otherwise, the insect ultimately inhibits the growth of the target plant.

6. The plant protection monitoring system based on image technology according to claim 1, characterized in that Generating the environmental growth coefficient of the target plant based on the environmental data and a preset environmental growth coefficient algorithm includes: The calculation formula for the environmental growth coefficient is as follows: Among them, is the soil humidity around the th type of target plant collected in the environmental data, is the preset optimal soil humidity, is the air humidity around the th type of target plant collected in the environmental data, is the preset optimal air humidity, is the air temperature around the th type of target plant collected in the environmental data, is the preset optimal air temperature, is the sunlight exposure duration of the th type of target plant in the environmental data, is the preset optimal sunlight exposure duration, is the th type of environmental growth coefficient of the target plant collected, , , and are respectively the preset soil humidity weight factor, air humidity weight factor, air temperature weight factor and sunlight exposure weight factor. Among them, represents the plant category, represents the collection times. Among them, the environmental data includes: the temperature, humidity and sunlight exposure duration of the target plant and the surrounding soil and air.

7. The plant protection monitoring system based on image technology according to claim 1, characterized in that, Generating the artificial growth coefficient of the target plant based on the management data and a preset artificial growth coefficient algorithm includes: The calculation formula for the artificial growth coefficient is as follows: Among them, is the pruning time of the th collection of the th type of target plant, is the preset optimal pruning interval duration, is the fertilization time of the th collection of the th type of target plant, is the preset optimal fertilization interval duration, is the watering time point of the th collection of the th type of target plant, is the preset optimal watering time interval, is the watering amount of the th collection of the th type of target plant, is the preset optimal watering amount, is the pest control time of the th collection of the th type of target plant, is the preset optimal pest control time interval, is the th collection of the th type of target plant's artificial growth coefficient, , , , and respectively represent the pruning time weight factor, fertilization time weight factor, watering time weight factor, watering amount weight factor and pest control time weight factor. Among them, represents the plant category, represents the collection times. Among them, the management data includes: data generated by the management staff's pruning, fertilizing, watering and pest control operations on the target plant.

8. The plant protection monitoring system based on image technology according to claim 1, characterized in that, Generating the plant health coefficient based on the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, the artificial growth coefficient, and a preset plant health coefficient algorithm includes: The calculation formula for the plant health coefficient is as follows: Among them, is the growth coefficient of the -th collected -th type of target plant, is the insect growth promotion coefficient calculated from the data collected at the -th time, is the insect growth inhibition coefficient calculated from the data collected at the -th time, is the environmental growth coefficient of the -th collected -th type of target plant, is the artificial growth coefficient of the -th collected -th type of target plant, is the health coefficient of the , , and respectively represent the natural growth weight factor, the insect influence weight factor, the environmental influence weight factor and the artificial influence weight factor. Among them, represents the plant category, represents the number of collections.

9. The plant protection monitoring system based on image technology according to claim 1, characterized in that, Conducting a first analysis of the growth coefficient, the insect growth promotion coefficient, the insect growth inhibition coefficient, the environmental growth coefficient, and the artificial growth coefficient, and judging the health status of the plant based on the analysis results includes: When the growth coefficient exceeds the preset optimal growth coefficient, it is determined that the plant grows too fast, affecting the plant's health; When the difference between the insect growth promotion coefficient and the insect growth inhibition coefficient is greater than the preset optimal insect coefficient, it is determined that the insect ultimately inhibits the growth of the plant, affecting the plant's health; When the environmental growth coefficient is lower than the preset optimal environmental growth coefficient, it is determined that the surrounding environment of the plant affects the plant's growth; When the artificial growth coefficient is lower than the preset optimal artificial coefficient, it is determined that manual operations impede the growth of the plant, resulting in an impact on the health status.

10. The plant protection monitoring system based on image technology according to claim 8, characterized in that, Based on the plant health coefficient, secondarily judging the health degree of the target plant includes: When the plant health coefficient is within the preset optimal plant health coefficient range, it is determined that the target plant is in a healthy state; When the plant health coefficient is lower than the preset optimal plant health coefficient range, it is determined that the target plant is in a sub-healthy state.

Images