Plant monitoring method, device and equipment

A plant and equipment technology, applied in agriculture-related fields, can solve the problems of high labor costs, achieve real-time monitoring of growth status, save on-site inspection management and artificial planting costs

Active Publication Date: 2022-07-26
SHENZHEN HIVT TECH
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AI-Extracted Technical Summary

Problems solved by technology

[0004] This application provides a plant monitoring method, device and equipment to sol...
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Method used

[0125] In the embodiment of the present application, the plant image in the preset area is collected by the camera. The plant image is recognized and processed by a preset abnormality recognition model to obtain recognition result information corresponding to the plant image; wherein, the abnormality recognition model is obtained through training based on a plurality of normal plant images and a plurality of abnormal plant images. If it is determined that the recognition result information contains abnormal information, a spraying plan corresponding to the abnormal information is generated, and the spraying plan is sent to the deployment spraying equipment, so that the deployment spraying equipment sprays the area containing the abnormal information according to the spraying plan. In this solution, the collected plant images are identified and processed through the preset abnormal identification model, and the identification result information corresponding to the plant image is obtained. If it is determined that the identification result information contains abnormal information, it means that the plant has abnormal conditions during its growth. Then generate a spraying plan corresponding to the abnormal information, and send the spraying plan to the deployment spraying equipment, and when the deployment spraying equipment receives the spraying plan, it will spray the area containing the abnormal information according to the spraying plan. Therefore, when th...
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Abstract

The invention provides a plant monitoring method, device and equipment, and relates to the related agricultural technology, and the method comprises the steps: collecting a plant image in a preset region through a camera; performing identification processing on the plant image through a preset anomaly identification model to obtain identification result information corresponding to the plant image; wherein the anomaly recognition model is obtained by training according to a plurality of normal plant images and a plurality of abnormal plant images. And if it is determined that the identification result information contains abnormal information, generating a spraying scheme corresponding to the abnormal information, and sending the spraying scheme to the deploying spraying equipment, so that the deploying spraying equipment sprays to an area containing the abnormal information according to the spraying scheme. Compared with a traditional management mode, the method provided by the invention has the advantages that the on-site patrol management and artificial planting cost is greatly saved, the growth condition of the plant is monitored in real time, and the technical problem that the labor cost required by the plant in the growth period is relatively high is solved.

Application Domain

Watering devicesCharacter and pattern recognition +4

Technology Topic

Agricultural engineeringAgricultural science +2

Image

  • Plant monitoring method, device and equipment
  • Plant monitoring method, device and equipment
  • Plant monitoring method, device and equipment

Examples

  • Experimental program(1)

Example Embodiment

[0111] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this disclosure.
[0112] At present, in order to better manage the growth conditions of plants in large-scale planting areas, a large number of planters are usually required to maintain, but there are many problems in the maintenance process of planters.
[0113] In one example, in the planting area of ​​each region, a large number of planters are required to inspect the growth state of the plants, and fertilize, irrigate, and remove pests and other operations on the plants according to the planters' subjective wishes. However, in the prior art, since a large number of planters are required to inspect the growth state of the plants, and operations such as fertilization, irrigation, and pest control are performed on the plants according to the planters' subjective wishes, the operations such as manual inspection and manual fertilization are labor-intensive and labor-intensive. This in turn leads to higher labor costs.
[0114] The present application provides a plant monitoring method, device and equipment, aiming to solve the above technical problems in the prior art.
[0115] The technical solutions of the present application and how the technical solutions of the present application solve the above-mentioned technical problems will be described in detail below with specific examples. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.
[0116] figure 1 A schematic flowchart of a plant monitoring method provided in the embodiment of the present application, such as figure 1 As shown, applied to a camera, the method includes:
[0117] 101. Collect plant images in a preset area through a camera.
[0118] Exemplarily, the executive body of this embodiment may be a camera, and the camera includes an artificial intelligence (Artificial Intelligence, AI) camera, etc., the camera can monitor plants 24 hours a day, and the camera can perform area division and area identification on the monitoring picture. First, a camera needs to capture plant images in a preset area. For example, one camera corresponds to a preset area, and then images of plants in the preset area can be collected according to the camera.
[0119] 102. Perform recognition processing on the plant image by using a preset abnormality recognition model to obtain recognition result information corresponding to the plant image; wherein the abnormality recognition model is obtained by training according to a plurality of normal plant images and a plurality of abnormal plant images.
[0120] Exemplarily, an anomaly identification model is pre-deployed in the camera, and the anomaly identification model is based on automatic machine learning by the algorithm server to label multiple normal plant images, multiple abnormal plant images, and multiple abnormal plant images corresponding to anomalies. information obtained by training. Therefore, the camera can call the preset anomaly recognition model to recognize the color of the plant, the shape of the plant, etc. in the plant image, and obtain the recognition result information corresponding to the plant image.
[0121] For example, the plant is green in normal state, and the leaves are intact. If the plant lacks phosphorus, the color of the plant leaves is light brown, brown or black, and the identification result information obtained at this time is the plant leaves. If the plant lacks potassium, the color of the edge of the plant leaf is yellow or orange, etc., and the identification result information obtained at this time is that the color of the edge of the plant leaf is yellow or orange; if the leaf of the plant is yellow or orange, etc. If there is a gap, it means that the plant is infested with insects, and the identification result information obtained at this time is that the plant is infested with insects.
[0122] 103. If it is determined that the identification result information contains abnormal information, generate a spraying plan corresponding to the abnormal information, and send the spraying plan to the allocation and spraying equipment, so that the allocation and spraying equipment sprays the area containing the abnormal information according to the spraying plan.
[0123] Exemplarily, if it is determined that the identification result information contains abnormal information, the camera can determine the abnormal level corresponding to the abnormal information, and according to the abnormal level corresponding to the abnormal information, generate a spraying plan corresponding to the abnormal information, and send the information through the wireless communication device. The spraying plan is sent to the deployment spraying equipment, and then the deployed spraying equipment can spray the area containing abnormal information according to the spraying plan. Among them, the spraying plan includes the proportion of the liquid medicine corresponding to the abnormal level, the amount of liquid medicine sprayed corresponding to the abnormal level, the frequency of chemical liquid spraying corresponding to the abnormal level, the spraying equipment corresponding to the sub-area where the abnormal information is located, and the abnormal information. The standard rotation angle of the spraying equipment corresponding to the sub-area.
[0124] For example, if the abnormal information included in the identification result information is that the color of the leaves of the plant is light brown, it means that the plant lacks phosphorus. Generate a spraying plan corresponding to the lack of phosphorus in plants, that is, send the spraying plan to the allocation and spraying equipment, and then the allocation and spraying equipment can allocate nutrient solution or insecticide according to the threshold corresponding to the spraying plan, and regularly and quantitatively spray the plants in the area. until the plants return to normal growth. Among them, the spraying methods include comprehensive sandblasting, special spraying, custom spraying, etc. The spraying method can be customized by the user on the client, or determined by the camera based on abnormal information.
[0125] In this embodiment of the present application, a camera is used to collect plant images in a preset area. The plant images are identified and processed by a preset anomaly identification model to obtain identification result information corresponding to the plant images; wherein, the anomaly identification model is obtained by training from multiple normal plant images and multiple abnormal plant images. If it is determined that the identification result information contains abnormal information, a spraying plan corresponding to the abnormal information is generated, and the spraying plan is sent to the allocation and spraying equipment, so that the allocation and spraying equipment sprays the area containing the abnormal information according to the spraying plan. In this solution, the collected plant images are identified and processed through a preset anomaly identification model, and identification result information corresponding to the plant images is obtained. Then, a spraying plan corresponding to the abnormal information is generated, and the spraying plan is sent to the allocation and spraying equipment. When the allocation and spraying equipment receives the spraying plan, it sprays the area containing the abnormal information according to the spraying plan. Therefore, when the camera captures that the plants in a certain area are infested with insects or the plants lack certain elements, the camera will send a spraying plan to the spraying equipment, and the spraying equipment will allocate the corresponding pesticides or spraying according to the spraying plan. The nutrient solution is transported to the corresponding area for spraying through pipelines, so as to achieve 24-hour unattended operation, which greatly saves the cost of on-site inspection management and artificial planting compared with the traditional management method, and realizes real-time monitoring of the growth status of plants. The technical problem of high labor cost required by plants during the growth cycle.
[0126] figure 2 A schematic flowchart of another plant monitoring method provided in the embodiment of the present application, such as figure 2 As shown, the method includes:
[0127] 201. Obtain an abnormality identification model sent by a preset algorithm server; wherein, the abnormality identification model is based on automatic machine learning by the algorithm server, which corresponds to a plurality of normal plant images, a plurality of abnormal plant images, and a plurality of abnormal plant images. The anomaly annotation information is obtained by training.
[0128] Illustratively, image 3 A schematic flowchart of training an abnormality recognition model provided in the embodiment of the present application, according to image 3 It can be seen that the preset algorithm server includes the AutoML algorithm server, and the camera includes an AI-camera. The user takes pictures of abnormal plants through the monitoring application. During the shooting process, shoot from multiple angles as much as possible. Mark the abnormal point on the picture, the user uploads the picture to the AutoML algorithm server through the monitoring application, and the AutoML algorithm server receives the abnormal picture of the plant taken by the monitoring application, and uses the core AutoML technology to learn the pest identification algorithm and the plant growth missing element identification algorithm. , fully automated the entire process from preprocessing, model structure design to training and parameter adjustment, realizing zero-code customized high-precision models, obtaining anomaly identification models after training, deploying the anomaly identification models to AI-cameras, and letting the cameras It has the AI ​​recognition ability for the plant, for example, the AI ​​recognition ability of plant pest identification, which can timely detect the hidden safety hazards in the planting field and remove the pests in time.
[0129] 202. Collect plant images in a preset area through a camera.
[0130] Exemplarily, this step can refer to figure 1 Step 101 in the above will not be repeated.
[0131] 203. Perform identification processing on the color of the plant and the shape of the plant in the plant image by using a preset anomaly identification model to obtain identification result information corresponding to the plant image; wherein the anomaly identification model is based on multiple normal plant images and multiple obtained from training on anomalous plant images.
[0132] Exemplarily, since the abnormality recognition model is obtained by training according to a plurality of normal plant images and a plurality of abnormal plant images, the camera can use the preset abnormality recognition model to recognize the color of the plant and the shape of the plant in the plant image. processing to obtain identification result information corresponding to the plant image.
[0133] 204. If it is determined that the identification result information includes abnormal information, determine the abnormal level corresponding to the abnormal information and the coordinate value of the abnormal information in the plant image in the preset area.
[0134] Exemplarily, in the process of training the abnormality recognition model, the abnormal points can be graded according to the abnormal pictures of the plants and the marked abnormal points. Therefore, if it is determined that the identification result information contains abnormal information, the camera can determine the abnormal level corresponding to the abnormal information and the coordinate value of the abnormal information in the plant image in the preset area.
[0135] 205. Determine the sub-area where the abnormal information is located in the preset area according to the coordinate value of the abnormal information in the plant image of the preset area, and determine the standard rotation angle of the spraying device corresponding to the sub-area where the abnormal information is located.
[0136] Exemplarily, the dispensing and spraying equipment includes a plurality of spraying equipment, and the dispensing and spraying equipment is respectively communicated with pipes between the plurality of spraying equipment, and the pipes are used to transport nutrient solution, pesticides, water, etc. It is assumed that the area has been pre-divided into a plurality of sub-areas, a plurality of spraying devices are arranged in the preset area corresponding to the plant image, and each spraying device corresponds to a sub-area in the preset area. Therefore, the camera can determine the sub-region where the abnormal information is located in the preset region according to the coordinate value of the abnormal information in the plant image of the preset region, and then according to the position of the sub-region where the abnormal information is located in the preset region, The standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located is determined, so that the spraying equipment corresponding to the sub-area where the abnormal information is located can accurately spray the abnormal information.
[0137] 206. Generate a spraying plan corresponding to the abnormality information according to the abnormality level corresponding to the abnormality information and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormality information is located; wherein the spraying plan includes the liquid medicine ratio corresponding to the abnormality level The ratio, the amount of liquid spraying corresponding to the abnormal level, the frequency of liquid spraying corresponding to the abnormal level, the spraying equipment corresponding to the sub-area where the abnormal information is located, and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located.
[0138] In one example, the spraying plan further includes the spraying equipment corresponding to the sub-area where the abnormal information is located, and the distance information between the abnormal information.
[0139] Exemplarily, the camera generates a spraying plan corresponding to the abnormality information according to the abnormality level corresponding to the abnormality information and the standard rotation angle of the spraying device corresponding to the sub-area where the abnormality information is located, and the spraying plan includes the liquid medicine distribution corresponding to the abnormality level. The ratio, the spraying dosage of the liquid medicine corresponding to the abnormal level, the spraying frequency of the liquid chemical corresponding to the abnormal level, the spraying equipment corresponding to the sub-area where the abnormal information is located, and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located. The camera can also determine the spraying equipment corresponding to the sub-area where the abnormal information is located, and the distance information between the abnormal information. Therefore, the spraying plan also includes the spraying equipment corresponding to the sub-area where the abnormal information is located, and the distance information between the abnormal information.
[0140] 207. Send the spraying plan to the allocation and spraying equipment, so that the allocation and spraying equipment sprays the area containing the abnormal information according to the spraying plan.
[0141] In one example, the spraying scheme is used to instruct the dispensing and spraying equipment to configure the pre-stored compound and obtain the medicinal liquid according to the proportion of the chemical and liquid in the spraying scheme. The pipelines are connected between the spraying equipment; according to the spraying plan, the spraying equipment corresponding to the sub-area where the abnormal information is located is transported and sprayed with liquid medicine; wherein, there are multiple spraying equipments in the preset area corresponding to the plant image, and each spraying equipment Corresponds to a sub-area in the preset area.
[0142] In one example, the spraying plan is used to instruct the dispensing spraying equipment to deliver the medicinal liquid to the spraying equipment corresponding to the sub-area where the abnormal information is located according to the spraying amount of the medicinal liquid and the spraying frequency of the medicinal liquid in the spraying plan, and pass the sub-region where the abnormal information is located. The spraying equipment corresponding to the area sprays the sub-area where the abnormal information is located; or, the spraying plan is used to instruct the dispensing spraying equipment to spray the spraying amount of the liquid medicine and the spraying frequency of the liquid medicine in the spraying plan to the sub-area where the abnormal information is located. The spraying equipment delivers the liquid medicine; and according to the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located in the spraying plan, the actual angle of the spraying equipment corresponding to the sub-area where the abnormal information is located is controlled as the standard rotation angle; through the abnormal information The spraying equipment corresponding to the sub-area and the actual angle of rotation is the standard rotation angle, sprays the sub-area where the abnormal information is located.
[0143] In one example, the distance information in the spraying plan is used to instruct the dispensing spraying equipment to deliver and spray liquid medicine to the spraying equipment corresponding to the sub-area where the abnormal information is located according to the spraying pressure, and the spraying pressure is determined according to the distance information in the spraying plan.
[0144] In one example, the dispensing and spraying equipment is used to send compound alarm information to the client, where the compound alarm information is generated when it is determined that the pre-stored compound stock is empty.
[0145] Exemplarily, after the learning of the camera recognition algorithm is completed, when the snapshots identify insect pests or the plants lack certain elements and grow abnormally, the spraying plan is sent to the deployment spraying equipment, and the deployed spraying equipment receives the spraying plan, according to the spraying plan and the abnormal level. The nutrient solution and/or insecticide are configured in the corresponding proportion of the liquid medicine, and the nutrient solution and/or insecticide are transported to the spraying device of the corresponding sub-area through the pipeline, and the spraying device of the corresponding sub-area is controlled according to the spraying plan. The spraying amount of the liquid medicine corresponding to the abnormal level, the spraying frequency of the liquid medicine corresponding to the abnormal level, and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located. After the spraying plan comes over, the dosage and frequency of spraying nutrient solution or pesticides can be adjusted automatically, until the plants return to normal state, and they can also be adjusted and controlled through the mobile phone client. The dispensing and spraying equipment can also send compound alarm information to the client through a wireless communication device (such as the Internet, etc.) when it is determined that the soluble compounds of the blended nutrient solution or pesticide are used up, so as to remind the user to replenish it in time to avoid losses.
[0146] For example, when the spraying equipment is deployed according to the spraying plan to deliver and spray the liquid medicine to the spraying equipment corresponding to the sub-area where the abnormal information is located, it includes multiple spraying methods.
[0147] In the first spraying method, according to the spraying amount of the liquid medicine and the spraying frequency of the liquid medicine in the spraying plan, after the liquid medicine is delivered to the spraying equipment corresponding to the sub-area where the abnormal information is located, the spraying equipment corresponding to the sub-area where the abnormal information is located The device sprays the sub-area where the abnormal information is located, without the need to accurately target the abnormal plants.
[0148] In the second spraying method, according to the spraying amount of the liquid medicine and the spraying frequency of the liquid medicine in the spraying plan, the liquid medicine is delivered to the spraying equipment corresponding to the sub-area where the abnormal information is located, and the sub-region where the abnormal information is located in the spraying plan is located. The standard rotation angle of the spraying equipment corresponding to the area, and the actual angle of the spraying equipment corresponding to the sub-area where the abnormal information is located is controlled to be the standard rotation angle, so that the spraying equipment corresponding to the sub-area where the abnormal information is located can accurately target abnormal plants. Finally, spray the sub-area where the abnormal information is located by using the spraying equipment corresponding to the sub-area where the abnormal information is located and whose actual angle rotation is the standard rotation angle.
[0149] In the third spraying method, the spraying plan further includes the spraying equipment corresponding to the sub-area where the abnormal information is located, and the distance information between the abnormal information. Allocate the spraying equipment to determine the spraying pressure of the spraying equipment corresponding to the sub-area where the abnormal information is located according to the distance information in the spraying plan. Liquid or insecticide is precisely sprayed on the location of anomalous plants.
[0150] 208. Send the plant image, the identification result information corresponding to the plant image, and the area range corresponding to the plant image to the client.
[0151] Exemplarily, when the camera captures and identifies the abnormal growth of insect pests or plants lacking certain elements, it will communicate with the client through a wireless communication device, and send the corresponding area information, plant information, and abnormal photos to the mobile client, so that the user can The client can remotely view the growth status of plants in real time for 24 hours, realize remote management, monitoring, and view alarms, etc. The user can also set the area of ​​the camera monitoring screen on the client side, set the dosage of each element and the amount of pesticides corresponding to each spraying scheme when dispensing the spraying device to dispense nutrient solution, and set the dispensing spraying device to spray nutrient solution or pesticides. According to the dosage corresponding to each spraying plan and setting the regular spraying time, the client can also remotely control the rotation of the camera and remotely control the deployment of the spraying device to spray nutrient solution or pesticides.
[0152]In the embodiment of the present application, the abnormality recognition model sent by the preset algorithm server is obtained; wherein, the abnormality recognition model is based on automatic machine learning by the algorithm server for a plurality of normal plant images, a plurality of abnormal plant images, and a plurality of abnormal plant images. It is obtained by training the abnormal annotation information corresponding to the plant images. Capture plant images in a preset area through a camera. The color of the plant and the shape of the plant in the plant image are identified through a preset anomaly identification model to obtain identification result information corresponding to the plant image. Wherein, the abnormality identification model is obtained by training according to a plurality of normal plant images and a plurality of abnormal plant images. If it is determined that the identification result information includes abnormal information, the abnormal level corresponding to the abnormal information and the coordinate value of the abnormal information in the plant image in the preset area are determined. According to the coordinate value of the abnormal information in the plant image of the preset area, the sub-area where the abnormal information is located in the preset area is determined, and the standard rotation angle of the spraying device corresponding to the sub-area where the abnormal information is located is determined. According to the abnormality level corresponding to the abnormality information and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormality information is located, a spraying plan corresponding to the abnormality information is generated; wherein, the spraying plan includes the proportion of the liquid medicine corresponding to the abnormality level, The amount of liquid spraying corresponding to the abnormal level, the frequency of liquid spraying corresponding to the abnormal level, the spraying equipment corresponding to the sub-area where the abnormal information is located, and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located. The spraying plan is sent to the deployment spraying device, so that the deployment spraying device sprays the area containing the abnormal information according to the spraying plan. Send the plant image, the identification result information corresponding to the plant image, and the area range corresponding to the plant image to the client. Therefore, when the camera captures that the plants in a certain area are infested with insects or the plants lack certain elements, the camera will send a spraying plan to the spraying equipment, and the spraying equipment will allocate the corresponding pesticides or spraying according to the spraying plan. The nutrient solution is transported to the corresponding area for spraying through pipelines, so as to achieve 24-hour unattended operation, which greatly saves the cost of on-site inspection management and artificial planting compared with the traditional management method, and realizes real-time monitoring of the growth status of plants. The technical problem of high labor cost required by plants during the growth cycle.
[0153] Figure 4 A schematic flowchart of another plant monitoring method provided in the embodiment of the present application, which is applied to the deployment of spraying equipment, such as Figure 4 As shown, the method includes:
[0154] 301. Receive a spraying plan sent by a camera; wherein, the spraying plan is generated according to identification result information including abnormal information, and the identification result information is obtained by identifying and processing plant images through a preset abnormal identification model, and the abnormal identification model is based on A plurality of normal plant images and a plurality of abnormal plant images are obtained by training, and the plant images are acquired by a camera in a preset area.
[0155] 302. Spray the area containing the abnormal information according to the spraying plan.
[0156] Exemplarily, for the method in this embodiment, reference may be made to the technical solutions in the above-mentioned methods, and the specific implementation process and technical principle are the same, and are not repeated here.
[0157] Figure 5 A schematic flowchart of another plant monitoring method provided in the embodiment of the present application, which is applied to the deployment of spraying equipment, such as Figure 5 As shown, the method includes:
[0158] 401. Receive a spraying plan sent by a camera; wherein, the spraying plan is generated according to identification result information including abnormal information, and the identification result information is obtained by identifying and processing plant images through a preset abnormal identification model, and the abnormal identification model is based on A plurality of normal plant images and a plurality of abnormal plant images are obtained by training, and the plant images are acquired by a camera in a preset area.
[0159] In one example, the spraying plan includes the proportion of the liquid medicine corresponding to the abnormal level, the spraying amount of the liquid medicine corresponding to the abnormal level, the frequency of spraying the liquid medicine corresponding to the abnormal level, the spraying equipment corresponding to the sub-area where the abnormal information is located, and The standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located; wherein, the spraying plan is generated according to the abnormal level corresponding to the abnormal information and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located; The corresponding abnormality level is determined according to the abnormality information contained in the identification result information; the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormality information is located is determined according to the sub-area where the abnormality information is located in the preset area. The sub-area located in the preset area is determined according to the coordinate value of the abnormal information in the plant image of the preset area.
[0160] In an example, the spraying plan further includes the spraying equipment corresponding to the sub-area where the abnormal information is located, and the distance information between the abnormal information.
[0161] In one example, the identification result information is obtained by identifying the color and shape of the plant in the plant image by using a preset abnormality identification model.
[0162] In one example, the preset anomaly identification model is obtained according to a preset algorithm server, and the anomaly identification model is based on automatic machine learning by the algorithm server for multiple normal plant images, multiple abnormal plant images, and multiple abnormal plant images. It is obtained by training the abnormal annotation information corresponding to the plant images.
[0163] In one example, the camera is configured to send the plant image, the identification result information corresponding to the plant image, and the area range corresponding to the plant image to the client.
[0164] 402. Configure the pre-stored compound according to the proportion of the liquid medicine in the spraying scheme to obtain the liquid medicine; wherein, the dispensing and spraying equipment includes a plurality of spraying equipment, and the dispensing and spraying equipment is respectively connected with a pipeline between the multiple spraying equipment.
[0165] 403. According to the spraying plan, deliver and spray the liquid medicine to the spraying equipment corresponding to the sub-area where the abnormal information is located; wherein, a plurality of spraying equipments are set in the preset area corresponding to the plant image, and each spraying equipment corresponds to one of the preset areas sub-region in .
[0166] Step 403 includes three implementations:
[0167] The first implementation of step 403: according to the spraying amount of the medicinal liquid in the spraying plan and the spraying frequency of the medicinal liquid, deliver the medicinal liquid to the spraying equipment corresponding to the sub-area where the abnormal information is located, and pass the corresponding to the sub-area where the abnormal information is located. The spraying equipment sprays the sub-areas where the abnormal information is located.
[0168] The second implementation of step 403: according to the spraying amount of the medicinal liquid in the spraying plan and the spraying frequency of the medicinal liquid, the medicinal liquid is delivered to the spraying equipment corresponding to the sub-area where the abnormal information is located; The standard rotation angle of the spraying equipment corresponding to the sub-area, and the actual angle rotation of the spraying equipment corresponding to the sub-area where the abnormal information is located is the standard rotation angle; the actual angle corresponding to the sub-area where the abnormal information is located is the standard rotation angle Spray equipment to spray the sub-areas where the abnormal information is located.
[0169] The third implementation of step 403: according to the distance information in the spraying scheme, determine the spraying pressure of the spraying equipment corresponding to the sub-area where the abnormal information is located; according to the spraying pressure, deliver and spray to the spraying equipment corresponding to the sub-area where the abnormal information is located liquid medicine.
[0170] 404. If it is determined that the stock of the pre-stored compound is empty, send compound alarm information to the client.
[0171] Exemplarily, for the method in this embodiment, reference may be made to the technical solutions in the above-mentioned methods, and the specific implementation process and technical principle are the same, and are not repeated here.
[0172] Illustratively, Image 6 A schematic flowchart of another plant monitoring method provided in the embodiment of the present application, according to Image 6 It can be seen that the AI-camera can interact with the monitoring application through the Internet, and interact with the deployment spraying device, and then the deployment spraying device can control the spraying device to spray pesticides or nutrient solution through the pipeline.
[0173] Figure 7 A schematic structural diagram of a plant monitoring device provided in the embodiment of the present application is applied to a camera, such as Figure 7 As shown, the device includes:
[0174] The acquisition unit 51 is configured to acquire plant images in a preset area through a camera.
[0175] The identification unit 52 is used to identify and process the plant image through a preset abnormality identification model to obtain identification result information corresponding to the plant image; wherein, the abnormality identification model is based on a plurality of normal plant images and a plurality of abnormal plant images. obtained by training.
[0176] The generating unit 53 is configured to generate a spraying plan corresponding to the abnormal information if it is determined that the identification result information contains abnormal information.
[0177] The first sending unit 54 is configured to send the spraying plan to the dispensing and spraying equipment, so that the dispensing and spraying equipment sprays the area containing abnormal information according to the spraying plan.
[0178] The apparatus of this embodiment can implement the technical solutions in the above-mentioned methods, and the specific implementation process and technical principles thereof are the same, and are not repeated here.
[0179] Figure 8 A schematic structural diagram of another plant monitoring device provided in the embodiment of the present application, in Figure 7 Based on the illustrated embodiment, as Figure 8 As shown, the identification unit 52 is specifically used for:
[0180] The color of the plant and the shape of the plant in the plant image are identified through a preset anomaly identification model to obtain identification result information corresponding to the plant image.
[0181] In an example, the generating unit 53 includes:
[0182] The first determining module 531 is configured to determine the abnormality level corresponding to the abnormality information and the coordinate value of the abnormality information in the plant image in the preset area if it is determined that the identification result information contains abnormality information.
[0183] The second determination module 532 is configured to determine, according to the coordinate values ​​of the abnormal information in the plant image of the preset area, the sub-area where the abnormal information is located in the preset area, and determine the size of the spraying equipment corresponding to the sub-area where the abnormal information is located. Standard rotation angle.
[0184] The generating module 533 is used to generate a spraying scheme corresponding to the abnormality information according to the abnormality level corresponding to the abnormality information and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormality information is located; wherein, the spraying scheme includes corresponding to the abnormality level. The proportion of the liquid medicine, the spraying amount of the liquid medicine corresponding to the abnormal level, the spraying frequency of the liquid medicine corresponding to the abnormal level, the spraying equipment corresponding to the sub-area where the abnormal information is located, and the standard of the spraying equipment corresponding to the sub-area where the abnormal information is located Rotation angle.
[0185] In one example, the spraying scheme is used to instruct the dispensing and spraying equipment to configure the pre-stored compound and obtain the medicinal liquid according to the proportion of the chemical and liquid in the spraying scheme. The pipelines are connected between the spraying equipment; according to the spraying plan, the spraying equipment corresponding to the sub-area where the abnormal information is located is transported and sprayed with liquid medicine; wherein, there are multiple spraying equipments in the preset area corresponding to the plant image, and each spraying equipment Corresponds to a sub-area in the preset area.
[0186] In one example, the spraying plan is used to instruct the dispensing spraying equipment to deliver the medicinal liquid to the spraying equipment corresponding to the sub-area where the abnormal information is located according to the spraying amount of the medicinal liquid and the spraying frequency of the medicinal liquid in the spraying plan, and pass the sub-region where the abnormal information is located. The spraying equipment corresponding to the area sprays the sub-area where the abnormal information is located;
[0187]Alternatively, the spraying plan is used to instruct the dispensing spraying equipment to deliver the medicinal solution to the spraying equipment corresponding to the sub-area where the abnormal information is located according to the spraying amount of the medicinal solution and the spraying frequency of the medicinal solution in the spraying plan; and according to the location of the abnormal information in the spraying plan. The standard rotation angle of the spraying equipment corresponding to the sub-region where the abnormal information is located, the actual angular rotation of the spraying equipment corresponding to the sub-region where the abnormal information is located is the standard rotation angle; the actual angle corresponding to the sub-region where the abnormal information is located is the standard rotation angle spraying equipment to spray the sub-areas where the abnormal information is located.
[0188] In an example, the spraying plan further includes the spraying equipment corresponding to the sub-area where the abnormal information is located, and the distance information between the abnormal information.
[0189] In one example, the distance information in the spraying plan is used to instruct the dispensing spraying equipment to deliver and spray liquid medicine to the spraying equipment corresponding to the sub-area where the abnormal information is located according to the spraying pressure, and the spraying pressure is determined according to the distance information in the spraying plan.
[0190] In one example, the apparatus further includes:
[0191] The obtaining unit 61 is used to obtain the abnormality identification model sent by the preset algorithm server; wherein, the abnormality identification model is based on automatic machine learning by the algorithm server for a plurality of normal plant images, a plurality of abnormal plant images, and a plurality of abnormal plant images. It is obtained by training the abnormal annotation information corresponding to the plant images.
[0192] In one example, the dispensing and spraying equipment is used to send compound alarm information to the client, where the compound alarm information is generated when it is determined that the pre-stored compound stock is empty.
[0193] In one example, the apparatus further includes:
[0194] The second sending unit 62 is configured to send the plant image, the identification result information corresponding to the plant image, and the area range corresponding to the plant image to the client. The apparatus of this embodiment can implement the technical solutions in the above-mentioned methods, and the specific implementation process and technical principles thereof are the same, and are not repeated here.
[0195] Figure 9 A schematic structural diagram of another plant monitoring device provided in the embodiment of the present application, which is applied to the deployment of spraying equipment, such as Figure 9 As shown, the device includes:
[0196] The receiving unit 71 is configured to receive the spraying scheme sent by the camera; wherein, the spraying scheme is generated according to the identification result information including abnormal information, and the identification result information is obtained by identifying and processing the plant image through a preset abnormality identification model. The recognition model is obtained by training according to a plurality of normal plant images and a plurality of abnormal plant images, and the plant images are collected in a preset area by a camera.
[0197] The spraying unit 72 is used for spraying the area containing abnormal information according to the spraying plan.
[0198] The apparatus of this embodiment can implement the technical solutions in the above-mentioned methods, and the specific implementation process and technical principles thereof are the same, and are not repeated here.
[0199] Figure 10 A schematic structural diagram of another plant monitoring device provided in the embodiment of the present application, in Figure 9 Based on the illustrated embodiment, as Figure 10 As shown in the figure, the spraying scheme includes the proportion of the liquid medicine corresponding to the abnormal level, the spraying amount of the liquid medicine corresponding to the abnormal level, the frequency of spraying the liquid medicine corresponding to the abnormal level, the spraying equipment corresponding to the sub-area where the abnormal information is located, and the abnormal The standard rotation angle of the spraying equipment corresponding to the sub-area where the information is located;
[0200] The spraying plan is generated according to the abnormality level corresponding to the abnormality information and the standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormality information is located; the abnormality level corresponding to the abnormality information is determined according to the abnormality information contained in the identification result information ; The standard rotation angle of the spraying equipment corresponding to the sub-area where the abnormal information is located is determined according to the sub-area where the abnormal information is located in the preset area, and the sub-area where the abnormal information is located in the preset area is determined according to the abnormal information The coordinate values ​​within the plant image in the preset area are determined.
[0201] In one example, the spray unit 72 includes:
[0202] The configuration module 721 is used to configure the pre-stored compounds and obtain the medicinal liquid according to the proportion of the medicinal liquid in the spraying plan; wherein, the dispensing and spraying equipment includes a plurality of spraying equipment, and the dispensing and spraying equipment is respectively connected with the multiple spraying equipment. pipeline connection;
[0203] The spraying module 722 is used to deliver and spray liquid medicine to the spraying equipment corresponding to the sub-area where the abnormal information is located according to the spraying plan; wherein, a plurality of spraying equipments are set in the preset area corresponding to the plant image, and each spraying equipment corresponds to one Sub-areas in this preset area.
[0204] In one example, the spraying module 722 is specifically used to:
[0205] According to the spraying amount and frequency of the liquid medicine in the spraying plan, the liquid medicine is delivered to the spraying equipment corresponding to the sub-area where the abnormal information is located, and the spraying equipment corresponding to the sub-area where the abnormal information is located. to spray.
[0206] In one example, spray module 722 includes:
[0207] The rotating sub-module 7221 is used to deliver the liquid medicine to the spraying equipment corresponding to the sub-area where the abnormal information is located according to the amount of liquid spraying and the frequency of liquid spraying in the spraying plan; and according to the sub-area where the abnormal information is located in the spraying plan. The standard rotation angle of the corresponding spraying equipment, and the actual angle rotation of the spraying equipment corresponding to the sub-area where the abnormal information is located is the standard rotation angle.
[0208] The first spraying sub-module 7222 is used for spraying to the sub-area where the abnormal information is located through the spraying equipment corresponding to the sub-area where the abnormal information is located and whose actual angle of rotation is the standard rotation angle.
[0209] In an example, the spraying plan further includes the spraying equipment corresponding to the sub-area where the abnormal information is located, and the distance information between the abnormal information.
[0210] In one example, spray module 722 includes:
[0211] The determination sub-module 7223 is used for determining the spraying pressure of the spraying equipment corresponding to the sub-area where the abnormal information is located according to the distance information in the spraying plan.
[0212] The second spraying sub-module 7224 is used to deliver and spray the liquid medicine to the spraying equipment corresponding to the sub-area where the abnormal information is located according to the spraying pressure.
[0213] In one example, the identification result information is obtained by identifying the color and shape of the plant in the plant image by using a preset abnormality identification model.
[0214] In one example, the preset anomaly identification model is obtained according to a preset algorithm server, and the anomaly identification model is based on automatic machine learning by the algorithm server for multiple normal plant images, multiple abnormal plant images, and multiple abnormal plant images. It is obtained by training the abnormal annotation information corresponding to the plant images.
[0215] In one example, the camera is configured to send the plant image, the identification result information corresponding to the plant image, and the area range corresponding to the plant image to the client.
[0216] In one example, the apparatus further includes:
[0217] The sending unit 81 is configured to send compound alarm information to the client if it is determined that the pre-stored compound stock is empty.
[0218] The apparatus of this embodiment can implement the technical solutions in the above-mentioned methods, and the specific implementation process and technical principles thereof are the same, and are not repeated here.
[0219] Figure 11 A schematic structural diagram of a camera provided in an embodiment of the present application, such as Figure 11 As shown, the camera includes: a memory 91 and a processor 92 .
[0220] A computer program executable on the processor 92 is stored in the memory 91 .
[0221] The processor 92 is configured to perform the method as provided by the above-described embodiments.
[0222] The camera also includes a receiver 93 and a transmitter 94 . The receiver 93 is used for receiving instructions and data sent by the external device, and the transmitter 94 is used for sending the instructions and data to the external device.
[0223] Figure 12 A schematic structural diagram of a dispensing and spraying device provided in the embodiment of the present application, such as Figure 12 As shown, the dispensing and spraying device includes: a memory 101 and a processor 102 .
[0224] A computer program executable on the processor 102 is stored in the memory 101 .
[0225] The processor 102 is configured to perform the method as provided by the above-described embodiments.
[0226] The dispensing spray device also includes a receiver 103 and a transmitter 104 . The receiver 103 is used for receiving instructions and data sent by the external device, and the transmitter 104 is used for sending the instructions and data to the external device.
[0227] In one example, a plant monitoring system provided by an embodiment of the present application includes at least one camera as provided in the foregoing embodiment and at least one dispensing and spraying device as provided in the foregoing embodiment.
[0228] Figure 13 It is a block diagram of an electronic device provided by an embodiment of the present application. The electronic device may be a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.
[0229] Device 1100 may include one or more of the following components: processing component 1102 , memory 1104 , power supply component 1106 , multimedia component 1108 , audio component 1110 , input/output (I/O) interface 1112 , sensor component 1114 , and communication component 1116 .
[0230] The processing component 1102 generally controls the overall operation of the device 600, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 1102 can include one or more processors 1120 to execute instructions to perform all or some of the steps of the methods described above. Additionally, processing component 1102 may include one or more modules that facilitate interaction between processing component 1102 and other components. For example, processing component 1102 may include a multimedia module to facilitate interaction between multimedia component 1108 and processing component 1102.
[0231] Memory 1104 is configured to store various types of data to support operations at device 1100 . Examples of such data include instructions for any application or method operating on the device 1100, contact data, phonebook data, messages, pictures, videos, and the like. Memory 1104 may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic Disk or Optical Disk.
[0232] Power component 1106 provides power to various components of device 1100 . Power components 1106 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 1100 .
[0233] The multimedia component 1108 includes a screen that provides an output interface between the device 1100 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touch, swipe, and gestures on the touch panel. A touch sensor can sense not only the boundaries of a touch or swipe action, but also the duration and pressure associated with the touch or swipe action. In some embodiments, the multimedia component 1108 includes a front-facing camera and/or a rear-facing camera. When the device 1100 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each of the front and rear cameras can be a fixed optical lens system or have focal length and optical zoom capability.
[0234] Audio component 1110 is configured to output and/or input audio signals. For example, audio component 1110 includes a microphone (MIC) that is configured to receive external audio signals when device 1100 is in operating modes, such as call mode, recording mode, and voice recognition mode. The received audio signal may be further stored in memory 1104 or transmitted via communication component 1116 . In some embodiments, audio component 1110 also includes a speaker for outputting audio signals.
[0235] The I/O interface 1112 provides an interface between the processing component 1102 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to: home button, volume buttons, start button, and lock button.
[0236] Sensor assembly 1114 includes one or more sensors for providing status assessment of various aspects of device 1100 . For example, the sensor assembly 1114 can detect the open/closed state of the device 1100, the relative positioning of the components, such as the display and keypad of the device 1100, the sensor assembly 1114 can also detect the position change of the device 1100 or a component of the device 1100, the user Presence or absence of contact with device 1100, device 1100 orientation or acceleration/deceleration and temperature changes of device 1100. Sensor assembly 1114 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. Sensor assembly 1114 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1114 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
[0237] Communication component 1116 is configured to facilitate wired or wireless communication between apparatus 1100 and other devices. Device 1100 may access wireless networks based on communication standards, such as WiFi, 2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 1116 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1116 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
[0238] In an exemplary embodiment, apparatus 1100 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the above method.
[0239] In an exemplary embodiment, there is also provided a non-transitory computer readable storage medium including instructions, such as a memory 1104 including instructions, executable by the processor 1120 of the apparatus 1100 to accomplish the above method. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
[0240] The embodiments of the present application also provide a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute the method provided by the above embodiments.
[0241] The embodiments of the present application also provide a computer program product, the computer program product includes: a computer program, the computer program is stored in a readable storage medium, and at least one processor of the electronic device can read the computer program from the readable storage medium, at least A processor executes the computer program to cause the electronic device to execute the solution provided by any of the above embodiments.
[0242] Other embodiments of the present disclosure will readily suggest themselves to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or techniques in the technical field not disclosed by the present disclosure . The description and examples are to be regarded as exemplary only.
[0243] It is to be understood that the present disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from the scope thereof.

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