A method and system for detecting the tapping point of a rubber tree

Abstract

The present invention provides a method and system for detecting the tapping point of a rubber tree. The method includes: obtaining the variety information of a first rubber tree and obtaining a first variety characteristic analysis result; obtaining the first collection period information and obtaining a first period constraint parameter; obtaining the growth environment information of the first rubber tree and obtaining a first environment constraint parameter; inputting the first variety characteristic analysis result, the first period constraint parameter, and the first environment constraint parameter into a tapping point analysis and selection model to obtain a first output result of the tapping point analysis and selection model; obtaining the historical tapping information of the first rubber tree and obtaining a first bark consumption constraint parameter; adjusting the tapping point parameter through the first bark consumption constraint parameter to obtain a first tapping point parameter. It solves the technical problem in the prior art that in the tapping process, tapping work is carried out based on experience, and the scientificity and accuracy of adjusting the tapping point and selecting the tapping point during the tapping cycle are relatively low.

Description

Technical Field

[0001] The present invention relates to the field of rubber trees, and particularly to a method and system for detecting the tapping point of rubber trees. Background Art

[0002] The rubber tree belongs to the Euphorbiaceae family and the genus Hevea. It is a large tree that can reach up to 30 meters in height and has abundant latex. The digitate compound leaves have three leaflets. The petiole is up to 15 centimeters long and has two glands at the top. The leaflets are oval, 10 to 25 centimeters long and 4 to 10 centimeters wide. The inflorescence is axillary and paniculate, up to 16 centimeters long, covered with grayish-white short pubescence. The capsule is elliptical, 5 to 6 centimeters in diameter, with three longitudinal grooves, a beak tip at the top, slightly concave at the base, the outer pericarp is thin, with reticulate vein patterns after drying, the inner pericarp is thick and woody, and the seeds are elliptical, light grayish-brown, with markings. Natural rubber is an important strategic material and industrial raw material in China, and it is irreplaceable due to its good comprehensive properties such as elasticity, extensibility, tear resistance, fatigue resistance, and aging resistance. However, the primitive and backward tapping method that has continued for more than 500 years has never changed. Since the birth of the natural rubber industry, rubber farmers have always used the traditional "tapping by lamplight" method. The rubber knife cuts through the latex ducts, and the milky white glue flows out along the iron pipes at the lower part of the tapping line. The container for holding the glue is placed under the iron pipes and waits for the glue to be collected. This is the brief process of tapping. Although it seems simple, it has extremely high requirements for the skills of rubber tappers, takes a long time, and has a very high labor intensity.

[0003] However, during the process of implementing the technical solution of the present invention by the inventors of the present application, it is found that the above technology has at least the following technical problems:

[0004] There are problems that tapping work is carried out based on experience during the tapping process, and the scientificity and accuracy of adjusting the tapping point and selecting the tapping point during the tapping cycle are relatively low. Summary of the Invention

[0005] The embodiments of the present application provide a method and system for detecting the tapping point of rubber trees, which solve the technical problems in the prior art that tapping work is carried out based on experience during the tapping process, and the scientificity and accuracy of adjusting the tapping point and selecting the tapping point during the tapping cycle are relatively low. It achieves the technical effect of improving the accuracy and scientificity of the tapping point parameters through multi-faceted parameter constraints, adjusting the tapping point parameters through the bark consumption, and ensuring the accuracy and scientificity of each tapping point selection.

[0006] In view of the above problems, the embodiments of the present application provide a method and system for detecting the tapping point of rubber trees.

[0007] In a first aspect, an embodiment of the present application provides a method for detecting the tapping point of a rubber tree. The method includes: obtaining the variety information of a first rubber tree, and obtaining a first variety characteristic analysis result according to the variety information; obtaining the information of a first collection period, and obtaining a first period constraint parameter according to the information of the first collection period and the basic information of the first rubber tree; obtaining the growth environment information of the first rubber tree according to the basic information, and obtaining a first environment constraint parameter according to the growth environment information; inputting the first variety characteristic analysis result, the first period constraint parameter, and the first environment constraint parameter into a tapping point analysis and selection model to obtain a first output result of the tapping point analysis and selection model, where the first output result includes tapping point parameters; obtaining the historical tapping information of the first rubber tree, and obtaining a first skin consumption constraint parameter according to the historical tapping information; adjusting the tapping point parameters by the first skin consumption constraint parameter to obtain first tapping point parameters.

[0008] In another aspect, an embodiment of the present application provides a system for detecting the tapping point of a rubber tree. The system includes: a first obtaining unit configured to obtain the variety information of a first rubber tree and obtain a first variety characteristic analysis result according to the variety information; a second obtaining unit configured to obtain the information of a first collection period and obtain a first period constraint parameter according to the information of the first collection period and the basic information of the first rubber tree; a third obtaining unit configured to obtain the growth environment information of the first rubber tree according to the basic information and obtain a first environment constraint parameter according to the growth environment information; a fourth obtaining unit configured to input the first variety characteristic analysis result, the first period constraint parameter, and the first environment constraint parameter into a tapping point analysis and selection model to obtain a first output result of the tapping point analysis and selection model, where the first output result includes tapping point parameters; a fifth obtaining unit configured to obtain the historical tapping information of the first rubber tree and obtain a first skin consumption constraint parameter according to the historical tapping information; a sixth obtaining unit configured to adjust the tapping point parameters by the first skin consumption constraint parameter to obtain first tapping point parameters.

[0009] In a third aspect, an embodiment of the present application provides a system for detecting the tapping point of a rubber tree, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the method according to any one of the first aspect are implemented.

[0010] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0011] By adopting the method of obtaining the variety information of the first rubber tree, obtaining the first variety characteristic analysis result according to the variety information; obtaining the first collection time period information, and obtaining the first time period constraint parameter according to the first collection time period information and the basic information of the first rubber tree; obtaining the growth environment information of the first rubber tree according to the basic information, and obtaining the first environment constraint parameter according to the growth environment information; inputting the first variety characteristic analysis result, the first time period constraint parameter and the first environment constraint parameter into the tapping point analysis and selection model to obtain the first output result of the tapping point analysis and selection model, wherein the first output result includes the tapping point parameter; obtaining the historical tapping information of the first rubber tree, and obtaining the first bark consumption constraint parameter according to the historical tapping information; adjusting the tapping point parameter through the first bark consumption constraint parameter to obtain the first tapping point parameter, the embodiment of the present application provides a method and system for detecting the tapping point of a rubber tree, achieving the technical effect of improving the accuracy and scientificity of the tapping point parameter through multi-faceted parameter constraints, and adjusting the tapping point parameter through the bark consumption to make each tapping point selection accurate and scientific.

[0012] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the specific implementation manners of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic flow chart of a method for detecting the tapping point of a rubber tree according to an embodiment of the present application;

[0014] Figure 2 It is a schematic flow chart of obtaining the first bark consumption constraint parameter of a method for detecting the tapping point of a rubber tree according to an embodiment of the present application;

[0015] Figure 3 It is a schematic flow chart of rubber tapping warning for the first rubber tree in a method for detecting the tapping point of a rubber tree according to an embodiment of the present application;

[0016] Figure 4 It is a schematic structural diagram of a system for detecting the tapping point of a rubber tree according to an embodiment of the present application;

[0017] Figure 5 It is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.

[0018] Explanation of the reference numerals: first obtaining unit 11 , second obtaining unit 12 , third obtaining unit 13 , fourth obtaining unit 14 , fifth obtaining unit 15 , sixth obtaining unit 16 , electronic device 300 , memory 301 , processor 302 , communication interface 303 , bus architecture 304 . DETAILED DESCRIPTION

[0019] The embodiments of the present application provide a method and system for detecting the starting point of rubber trees, thereby solving the technical problems in the prior art of relying on experience to perform rubber tapping during the rubber tapping process, adjusting the starting point during the rubber tapping cycle, and selecting the starting point with low scientificity and accuracy. The invention achieves the technical effect of improving the accuracy and scientificity of the starting point parameters through various parameter constraints, adjusting the starting point parameters through the amount of skin consumed, and achieving accuracy and scientificity in each selection of the starting point.

[0020] Application Overview

[0021] The brief process of rubber tapping is that the rubber knife cuts the latex tube, and the milky white glue flows out along the iron pipe at the bottom of the tapping line. The container containing the glue is placed under the iron pipe, waiting for the rubber to be collected. It seems simple, but it requires extremely high technical skills of rubber workers, is time-consuming, and has high labor intensity. In the prior art, there are technical problems that the rubber tapping process relies on experience to perform rubber tapping work, and the adjustment of the starting point during the tapping cycle and the selection of the starting point are less scientific and accurate.

[0022] In response to the above technical problems, the overall idea of ​​the technical solution provided by this application is as follows:

[0023] An embodiment of the present application provides a method for detecting a rubber tree cutting point, wherein the method includes: obtaining variety information of a first rubber tree, and obtaining a first variety characteristic analysis result based on the variety information; obtaining first collection period information, and obtaining a first period constraint parameter based on the first collection period information and basic information of the first rubber tree; obtaining growth environment information of the first rubber tree based on the basic information, and obtaining a first environment constraint parameter based on the growth environment information; inputting the first variety characteristic analysis result, the first period constraint parameter, and the first environment constraint parameter into a cutting point analysis selection model, and obtaining a first output result of the cutting point analysis selection model, wherein the first output result includes a cutting point parameter; obtaining historical tapping information of the first rubber tree, and obtaining a first skin consumption constraint parameter based on the historical tapping information; adjusting the cutting point parameter by the first skin consumption constraint parameter to obtain the first cutting point parameter.

[0024] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification.

[0025] Example 1

[0026] As Figure 1 shown, an embodiment of the present application provides a method for detecting the tapping point of a rubber tree. Among them, the method is applied to a tapping point detection control system, and the method includes:

[0027] S100: Obtain the variety information of the first rubber tree, and obtain the first variety characteristic analysis result according to the variety information;

[0028] Specifically, there are differences in the yield, bark, and latex drainage conditions of rubber trees of different varieties, and different tapping methods need to be adopted. The first rubber tree is any rubber tree in the rubber plantation, and the variety information of the first rubber tree is the variety information of the first rubber tree in the rubber plantation. The varieties of rubber trees include RRIM600, PR107, GT1, etc. According to the variety information, based on the relevant knowledge of rubber trees and tapping experience, the first variety characteristic analysis result is obtained. For example, if it is known that the variety of the first rubber tree is RRIM600, then by obtaining the relevant knowledge of the RRIM600 variety, it can be known that RRIM600 is a high-yield variety with good latex drainage performance, and it needs to be tapped shallowly. If it is tapped deeply, more latex ducts will be cut off, the nutrient loss will be large, and it is easy to have nutritional deficiency and dead bark. The first variety characteristic analysis result includes the yield, latex drainage performance, etc. of the variety. Obtaining the variety information can lay a foundation for the scientific selection of the subsequent tapping point.

[0029] S200: Obtain the first collection time period information, and obtain the first time period constraint parameter according to the first collection time period information and the basic information of the first rubber tree;

[0030] Specifically, the first collection time period information is the season, temperature, humidity, and wind speed during normal tapping work. The first collection time period information is obtained through measuring devices for temperature, humidity, and wind speed and the current season. The basic information of the first rubber tree includes the variety, tree age, whether the rubber tree has diseases, and relevant information of the rubber tree plantation (such as geographical location, area, planting method), etc., and the basic information of the first rubber tree can be obtained from the rubber tree plantation management personnel. The first collection time period information is combined with the basic information of the first rubber tree, and the first time period constraint parameter can be obtained based on the statistical analysis of historical data. The historical data is obtained by collecting historical temperature, humidity, wind speed, and season data and the data on the impact of tapping effect. The first time period constraint parameter is the season, temperature, humidity, and wind speed for tapping, so as to perform time period constraint on the tapping operation. It can constrain the tapping working time, thus laying a foundation for the analysis of the tapping point.

[0031] S300: Obtain the growth environment information of the first rubber tree according to the basic information, and obtain the first environment constraint parameter according to the growth environment information;

[0032] Further, obtaining the growth environment information of the first rubber tree based on the basic information, and obtaining the first environmental constraint parameter according to the growth environment information, step S300 includes:

[0033] S310: Obtaining the growth geographical location information of the first rubber tree according to the basic information;

[0034] S320: Obtaining the first tapping surface direction parameter according to the growth geographical location information;

[0035] S330: Obtaining the tapping line direction parameter of the first rubber tree through big data, and taking the first tapping surface direction parameter and the tapping line direction parameter as the first environmental constraint parameter.

[0036] Specifically, through the basic information, relevant information about the rubber plantation where the first rubber tree is planted can be known, including the growth geographical location information of the first rubber tree, such as whether it is a plain area or a hilly area. Since the growth geographical location has a certain influence on the selection of the tapping surface direction. Based on the relevant knowledge of tapping surface selection, in a flat rubber plantation, the tapping surface direction is generally parallel to the row direction, and the first tapping surface should be opened in the northeast direction; in a rubber plantation in a hilly area, the tapping surface direction is parallel to the contour row, and the tapping surface faces the inner wall or outer wall of the contour row. In the tapping line direction, because the latex ducts in the rubber tree spiral upward from left to right at an angle of 3 to 50 degrees with the central axis of the tree trunk, in order to let more latex flow out, more latex ducts must be cut. Therefore, it is best to tap from the upper left to the lower right. Therefore, the first tapping surface direction parameter can be obtained according to the growth geographical location information, and the first tapping surface direction parameter is the direction of the tapping surface on the rubber tree, such as the northeast direction, the southwest direction, etc. Since the rubber tapping garden has been engaged in rubber tree tapping for many years and has accumulated a lot of data on rubber tapping, the tapping line direction parameter of the first rubber tree is collected based on big data, that is, the cutting direction of the tapping line, including the direction of the tapping line and the heights of the starting point and the ending point during cutting. Since the growth geographical location information has a great influence on the first tapping surface direction parameter and the tapping line direction parameter, the first tapping surface direction parameter and the tapping line direction parameter are used as the first environmental constraint parameter, laying a foundation for the selection of the starting tapping point.

[0037] S400: Inputting the first variety characteristic analysis result, the first time period constraint parameter, and the first environmental constraint parameter into the starting tapping point analysis and selection model to obtain the first output result of the starting tapping point analysis and selection model, where the first output result includes the starting tapping point parameter;

[0038] Specifically, the starting tapping point analysis and selection model is a neural network model, which is the neural network model in machine learning. A neural network (Neural Networks, NN) is a complex neural network system formed by a large number of simple processing units (called neurons) widely interconnected. It reflects many basic characteristics of the human brain function and is a highly complex non-linear dynamic learning system. The neural network model is described based on the mathematical model of neurons. An artificial neural network (Artificial Neural Networks, ANN) is a description of the first-order characteristics of the human brain system. Simply put, it is a mathematical model. Through the training of a large amount of training data, taking the first variety characteristic analysis result, the first time period constraint parameter, and the first environmental constraint parameter as input information, after the starting tapping point analysis and selection model performs the position analysis and selection of the starting tapping point, the first output result is output, where the first output result includes starting tapping point parameters, and the starting tapping point parameters include which side of the rubber tree the starting tapping point is located on, the height from the ground, etc. Through the constraints in three aspects of variety, time period, and environment, the accuracy and scientificity of the starting tapping point parameters can be improved, helping the staff to select the starting tapping point.

[0039] S500: Obtain the historical tapping information of the first rubber tree, and obtain the first skin consumption constraint parameter according to the historical tapping information;

[0040] Further, the step of obtaining the historical tapping information of the first rubber tree and obtaining the first skin consumption constraint parameter according to the historical tapping information, step S500 includes:

[0041] S510: Obtain the tapping frequency information of the first rubber tree according to the historical tapping information;

[0042] S520: Obtain the statistical data set of the skin consumption during tapping of the first rubber tree according to the historical tapping information;

[0043] S530: Conduct the historical skin consumption analysis of the first rubber tree according to the tapping frequency information and the statistical data set of the skin consumption during tapping, and obtain the first skin consumption constraint parameter according to the historical skin consumption analysis result.

[0044] Specifically, after the rubber tree is tapped once and after a period of time, it can be tapped again. Therefore, the historical tapping information of the first rubber tree is obtained. The historical tapping information includes the number of tappings, the area, and the depth of tapping, etc. By the number of tappings, the area, and the depth of tapping, the amount of bark consumed per cut in the historical tapping of the first rubber tree can be statistically calculated, and the tapping bark consumption statistical data set of the first rubber tree is obtained. Based on the tapping number information and the tapping bark consumption statistical data set, the historical bark consumption of the first rubber tree is analyzed, and the total bark consumption is analyzed. The total bark consumption is used as the first bark consumption constraint parameter.

[0045] S600: Adjust the starting tapping point parameter through the first bark consumption constraint parameter to obtain the first starting tapping point parameter.

[0046] Specifically, adjust the starting tapping point parameter according to the first bark consumption constraint parameter so that the tapping position is conducive to the self - recovery of the rubber tree and reduces the damage to the rubber tree. For example: when the total bark consumption of the first rubber tree is too large, it is not possible to tap again at the original tapping line position, and the position of the starting tapping point and the tapping line needs to be changed. The first bark consumption constraint parameter and the starting tapping point parameter can be input into the starting tapping point adjustment model, and then the adjusted first starting tapping point parameter is output. Among them, the starting tapping point adjustment model is a neural network model, which is trained to convergence through a large amount of rubber tree tapping data and can accurately adjust the starting tapping point. Adjusting the starting tapping point parameter by the bark consumption can guide the next tapping and the selection of the starting tapping point through the historical cutting results of the tree, so as to ensure the accuracy and reliability of the selection of the starting tapping point in each rubber tree tapping cycle, ensure that the damage to the rubber tree in the current tapping cycle is minimized, and extend the tapping life of the rubber tree.

[0047] Further, as Figure 2 shown, the starting tapping point detection and control system is communicatively connected to the image acquisition device, and step S500 includes:

[0048] S540: Perform image acquisition of the first rubber tree through the image acquisition device to obtain a first image set;

[0049] S550: Perform image analysis on the first image set to obtain a first image analysis result;

[0050] S560: Perform current state evaluation of the first rubber tree according to the first image analysis result and the historical bark consumption analysis result to obtain a first state evaluation result;

[0051] S570: Obtain the first bark consumption constraint parameter according to the first state evaluation result.

[0052] Specifically, the detection method of the tapping point of the rubber tree is applied to a tapping point detection control system, which is communicatively connected to an image acquisition device. The image acquisition device can collect image data of the rubber tree and the rubber plantation and send it to the tapping point detection control system. The first rubber tree is imaged by the image acquisition device to obtain the first image set. Through the acquired images, the roughness of the rubber tree bark, the tapping marks on the rubber tree, and the presence of obvious pest and disease traces on the rubber tree surface can be observed. Further, through image analysis techniques, such as image extraction, local image magnification, and image color comparison analysis, the first image set is analyzed. The image analysis includes analyzing the tapping consumption by the tapping marks on the rubber tree (the area of the peeled bark and the number of tapping marks), so as to obtain the first image analysis result. The first image analysis result combined with the historical tapping consumption analysis result can be used to evaluate the current state of the first rubber tree, that is, how much bark remains on the current first rubber tree, whether the currently tapped cortex is the original bark or the regenerated bark, etc. The first evaluation result is obtained, which is the current bark type and tapping consumption of the first rubber tree. Further, the first tapping consumption constraint parameter is obtained according to the first state evaluation result, and the first tapping consumption constraint parameter is the bark type and tapping consumption of the rubber tree.

[0053] Further, the embodiments of the present application further include:

[0054] S571: Evaluate the tapping matching degree according to the first image analysis result and the tapping times information to obtain the first tapping matching degree evaluation parameter;

[0055] S572: Obtain the first tapping consumption constraint parameter according to the first tapping matching degree evaluation parameter and the first state evaluation result.

[0056] Specifically, the information on the number of tapping times is the actual number of tapping times of the first rubber tree. According to the first image analysis result, the bark consumption of the first rubber tree can be obtained. Through the historical data of the rubber plantation where the first rubber tree is located, the average bark consumption per cut of the rubber plantation can be calculated. Combining the average bark consumption per cut, the bark consumption of the first rubber tree can be obtained from the information on the number of tapping times. The tapping matching degree of the first rubber tree is evaluated based on the first image analysis result and the information on the number of tapping times. Through the matching degree calculation, the first tapping matching degree is obtained, and the first tapping matching degree is used as the first tapping matching degree evaluation parameter. Further, the first status evaluation result is the type and bark consumption of the current bark of the first rubber tree. The first status evaluation result and the first tapping matching degree evaluation parameter are used as the first bark consumption evaluation constraint parameters. Since the matching degree evaluation is carried out, the first image analysis result is verified with the actual number of tapping times, and the matching degree evaluation result is also incorporated into the first bark consumption constraint parameter, so that the bark consumption of the first rubber tree can be grasped more accurately.

[0057] Further, as Figure 3 shown, the starting point detection control system is communicatively connected to the thickness measuring instrument, and step S570 further includes:

[0058] S573: Obtain a second image set through the image acquisition device;

[0059] S574: Analyze the second image set to obtain the tree girth parameter of the first rubber tree, and obtain the bark thickness parameter based on the thickness measuring instrument;

[0060] S575: Determine whether the tree girth parameter and the bark thickness parameter simultaneously meet the first preset threshold;

[0061] S576: When the tree girth parameter and the bark thickness parameter cannot simultaneously meet the first preset threshold, obtain the tapping warning information of the first rubber tree, and perform the tapping warning of the first rubber tree according to the tapping warning information of the first rubber tree.

[0062] Specifically, tapping can only be carried out after the tree girth reaches the tapping standard. When the tree girth of the rubber tree reaches 50 cm, the bark thickness is suitable for the requirements of tapping. The second image set is obtained through the image acquisition device, and the overall morphology of the rubber tree is included in the second image set. The tree girth parameter of the first rubber tree, which is the perimeter of the tree, can be observed from it. The bark thickness of the rubber tree is measured by a thickness gauge to obtain the bark thickness parameter of the first rubber tree. The first preset threshold is the preset threshold when the tree girth and bark thickness reach the level that tapping operations can start. The first preset threshold is formulated according to the variety characteristics of the first rubber tree. Further, it is determined whether the tree girth parameter and the bark thickness parameter simultaneously meet the first preset threshold. If the tree girth parameter and the bark thickness parameter cannot simultaneously meet the first preset threshold, it indicates that the tapping effect is not good at this time, and the tapping warning information of the first rubber tree is obtained, and the managers of the rubber plantation are given a tapping warning for the first rubber tree, that is, it is informed to the managers and tapping workers that the first rubber tree cannot be tapped at present. It can accurately ensure that each tree is tapped at the best time, thereby protecting the rubber tree and extending the tapping cycle of the rubber tree.

[0063] Furthermore, the embodiment of the present application further includes:

[0064] S610: Obtain the tapping frequency information of the first rubber tree;

[0065] S620: Based on big data, construct a tapping frequency analysis model for rubber trees, and perform a rationality analysis on the tapping frequency information through the tapping frequency analysis model to obtain a first analysis result;

[0066] S630: Determine the next tapping time according to the first analysis result, and use the next tapping time as the first tapping start point parameter.

[0067] Specifically, the tapping frequency information of the first rubber tree is obtained from the rubber plantation to know the tapping frequency of the first rubber tree. Based on the historical tapping big data of rubber trees, the tapping frequency analysis model is obtained. The tapping frequency analysis model is a neural network model that can perform a rationality analysis on the tapping frequency of rubber trees. The tapping frequency information of the first rubber tree is used as input information and input into the tapping frequency analysis model to obtain the first analysis result. According to the first analysis result, it can be analyzed whether the current tapping frequency of the first rubber tree is reasonable. If the frequency is reasonable, tapping can continue according to this frequency information. If the frequency is unreasonable, the tapping frequency is delayed or increased. Therefore, the next tapping time can be determined through the first analysis result, and the next tapping time is used as the first tapping start point parameter to guide the tapping time. Through the rationality analysis of the frequency, the tapping time can be adjusted, making the tapping work more reasonable.

[0068] In summary, the detection method and system for the tapping point of rubber trees provided by the embodiments of the present application have the following technical effects:

[0069] 1. By adopting the technical solution of obtaining the variety information of the first rubber tree, obtaining the first variety characteristic analysis result according to the variety information; obtaining the first collection time period information, and obtaining the first time period constraint parameter according to the first collection time period information and the basic information of the first rubber tree; obtaining the growth environment information of the first rubber tree according to the basic information, and obtaining the first environment constraint parameter according to the growth environment information; inputting the first variety characteristic analysis result, the first time period constraint parameter and the first environment constraint parameter into the tapping point analysis and selection model to obtain the first output result of the tapping point analysis and selection model, wherein the first output result includes the tapping point parameter; obtaining the historical tapping information of the first rubber tree, and obtaining the first skin consumption constraint parameter according to the historical tapping information; adjusting the tapping point parameter through the first skin consumption constraint parameter to obtain the first tapping point parameter, the embodiments of the present application provide a detection method and system for the tapping point of rubber trees, achieving the technical effects of improving the accuracy and scientificity of the tapping point parameter through multi-faceted parameter constraints, and realizing the accuracy and scientificity of each tapping point selection by adjusting the tapping point parameter through the skin consumption.

[0070] 2. By adopting the method of rationality analysis of frequency, the tapping frequency and the next tapping time can be adjusted, achieving the technical effect of making the tapping work more reasonable.

[0071] Example 2

[0072] Based on the same inventive concept as the detection method for the tapping point of rubber trees in the foregoing embodiments, as Figure 4 shown, the embodiments of the present application provide a detection system for the tapping point of rubber trees, wherein the system includes:

[0073] The first obtaining unit 11 is used to obtain the variety information of the first rubber tree and obtain the first variety characteristic analysis result according to the variety information;

[0074] The second obtaining unit 12 is used to obtain the first collection time period information and obtain the first time period constraint parameter according to the first collection time period information and the basic information of the first rubber tree;

[0075] The third obtaining unit 13 is used to obtain the growth environment information of the first rubber tree according to the basic information and obtain the first environment constraint parameter according to the growth environment information;

[0076] A fourth acquisition unit 14, configured to input the first variety characteristic analysis result, the first time period constraint parameter, and the first environment constraint parameter into a starting point analysis selection model, and obtain a first output result of the starting point analysis selection model, where the first output result includes starting point parameters;

[0077] A fifth acquisition unit 15, configured to obtain the historical tapping information of the first rubber tree, and obtain a first bark consumption constraint parameter according to the historical tapping information;

[0078] A sixth acquisition unit 16, configured to adjust the starting point parameters by the first bark consumption constraint parameter to obtain first starting point parameters.

[0079] Furthermore, the system includes:

[0080] A seventh acquisition unit, configured to obtain the growth geographical location information of the first rubber tree according to the basic information;

[0081] An eighth acquisition unit, configured to obtain a first tapping surface direction parameter according to the growth geographical location information;

[0082] A first execution unit, configured to obtain the tapping line direction parameter of the first rubber tree through big data, and use the first tapping surface direction parameter and the tapping line direction parameter as the first environment constraint parameter.

[0083] Furthermore, the system includes:

[0084] A ninth acquisition unit, configured to obtain the tapping times information of the first rubber tree according to the historical tapping information;

[0085] A tenth acquisition unit, configured to obtain a tapping bark consumption statistical data set of the first rubber tree according to the historical tapping information;

[0086] An eleventh acquisition unit, configured to perform historical bark consumption analysis on the first rubber tree according to the tapping times information and the tapping bark consumption statistical data set, and obtain the first bark consumption constraint parameter according to the historical bark consumption analysis result.

[0087] Furthermore, the system includes:

[0088] A twelfth acquisition unit, configured to perform image acquisition on the first rubber tree through the image acquisition device to obtain a first image set;

[0089] A thirteenth acquisition unit, which is configured to perform image analysis on the first image set to obtain a first image analysis result;

[0090] A fourteenth acquisition unit, which is configured to perform a current state assessment of the first rubber tree according to the first image analysis result and the historical bark consumption analysis result to obtain a first state assessment result;

[0091] A fifteenth acquisition unit, which is configured to obtain the first bark consumption constraint parameter according to the first state assessment result.

[0092] Furthermore, the system includes:

[0093] A sixteenth acquisition unit, which is configured to perform a tapping matching degree assessment according to the first image analysis result and the tapping times information to obtain a first tapping matching degree assessment parameter;

[0094] A seventeenth acquisition unit, which is configured to obtain the first bark consumption constraint parameter according to the first tapping matching degree assessment parameter and the first state assessment result.

[0095] Furthermore, the system includes:

[0096] An eighteenth acquisition unit, which is configured to obtain a second image set through the image acquisition device;

[0097] A nineteenth acquisition unit, which is configured to perform image analysis on the second image set to obtain the tree girth parameter of the first rubber tree and obtain the bark thickness parameter based on the thickness measuring instrument;

[0098] A second execution unit, which is configured to determine whether the tree girth parameter and the bark thickness parameter simultaneously meet a first preset threshold;

[0099] A third execution unit, which is configured to obtain the tapping warning information of the first rubber tree when the tree girth parameter and the bark thickness parameter cannot simultaneously meet the first preset threshold, and perform tapping warning on the first rubber tree according to the tapping warning information of the first rubber tree.

[0100] Furthermore, the system includes:

[0101] A twentieth acquisition unit, which is configured to obtain the tapping frequency information of the first rubber tree;

[0102] The twenty - first acquisition unit is configured to construct a tapping frequency analysis model of rubber trees based on big data, analyze the rationality of the tapping frequency information through the tapping frequency analysis model, and obtain a first analysis result;

[0103] The fourth execution unit is configured to determine the next tapping time according to the first analysis result, and use the next tapping time as the first tapping point parameter.

[0104] Exemplary Electronic Device

[0105] The following refers to Figure 5 to describe the electronic device of the embodiments of the present application.

[0106] Based on the same inventive concept as the detection method of the tapping point of a rubber tree in the foregoing embodiments, the embodiments of the present application further provide a detection system for the tapping point of a rubber tree, including: a processor, the processor is coupled to a memory, and the memory is used to store a program. When the program is executed by the processor, the system is enabled to execute the method described in any item of the first aspect.

[0107] The electronic device 300 includes: a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 may further include a bus architecture 304. Among them, the communication interface 303, the processor 302, and the memory 301 may be interconnected through the bus architecture 304; the bus architecture 304 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 5 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0108] The processor 302 may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the solution of the present application.

[0109] The communication interface 303 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), wired access networks, etc.

[0110] The memory 301 can be a ROM or other types of static storage devices that can store static information and instructions, a RAM or other types of dynamic storage devices that can store information and instructions, or can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory can exist independently and be connected to the processor through the bus architecture 304. The memory can also be integrated with the processor.

[0111] Among them, the memory 301 is used to store computer execution instructions for executing the solution of this application, and is controlled by the processor 302 to execute. The processor 302 is used to execute the computer execution instructions stored in the memory 301, so as to implement a detection method for the tapping point of a rubber tree provided in the above embodiments of this application.

[0112] Optionally, the computer execution instructions in the embodiments of this application can also be referred to as application program codes, and the embodiments of this application do not make specific limitations thereon.

[0113] The embodiments of this application provide a detection method for the tapping point of a rubber tree. Among them, the method includes: obtaining the variety information of a first rubber tree, and obtaining a first variety characteristic analysis result according to the variety information; obtaining the information of a first collection period, and obtaining a first period constraint parameter according to the information of the first collection period and the basic information of the first rubber tree; obtaining the growth environment information of the first rubber tree according to the basic information, and obtaining a first environment constraint parameter according to the growth environment information; inputting the first variety characteristic analysis result, the first period constraint parameter, and the first environment constraint parameter into a tapping point analysis selection model, and obtaining a first output result of the tapping point analysis selection model, where the first output result includes tapping point parameters; obtaining the historical tapping information of the first rubber tree, and obtaining a first skin consumption constraint parameter according to the historical tapping information; adjusting the tapping point parameters through the first skin consumption constraint parameter to obtain first tapping point parameters.

[0114] Those of ordinary skill in the art can understand that the various numerical numbers such as the first and second involved in this application are only for the convenience of description and are not used to limit the scope of the embodiments of this application, nor do they represent the order of precedence. "And / or" describes the relationship between related objects and indicates that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the related objects before and after are in an "or" relationship. "At least one" means one or more. At least two means two or more. "At least one", "any one" or their similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one (item, kind) of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0115] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of this application are generated in whole or in part. The computer can be a general - purpose computer, a special - purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer - readable storage medium or transmitted from one computer - readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.). The computer - readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid - state disk (SSD)).

[0116] In the embodiments of the present application, the various illustrative logical units and circuits can be implemented or operate the described functions by a general-purpose processor, a digital signal processor, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of the above designs. The general-purpose processor can be a microprocessor. Optionally, the general-purpose processor can also be any conventional processor, controller, microcontroller or state machine. The processor can also be implemented by a combination of computing devices, such as a digital signal processor and a microprocessor, multiple microprocessors, one or more microprocessors combined with a digital signal processor core, or any other similar configuration.

[0117] The steps of the methods or algorithms described in the embodiments of the present application can be directly embedded in hardware, software units executed by a processor, or a combination of the two. The software units can be stored in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium in the art. Exemplarily, the storage medium can be connected to the processor so that the processor can read information from the storage medium and write information to the storage medium. Optionally, the storage medium can also be integrated into the processor. The processor and the storage medium can be disposed in an ASIC, and the ASIC can be disposed in a terminal. Optionally, the processor and the storage medium can also be disposed in different components of the terminal. These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide for implementing in the process Figure 1 a process or multiple processes and / or blocks Figure 1 the steps of the functions specified in a block or multiple blocks.

[0118] Although the present application has been described in conjunction with specific features and their embodiments, it is obvious that various modifications and combinations can be made without departing from the spirit and scope of the present application. Accordingly, this specification and the drawings are merely exemplary illustrations of the present application defined by the appended claims, and are considered to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is intended to include these changes and modifications.

Claims

1. A method for detecting the tapping point of a rubber tree, wherein, the method is applied to a tapping point detection control system, and the method includes: obtaining the variety information of the first rubber tree, and obtaining the first variety characteristic analysis result according to the variety information; obtaining the first collection time period information, and obtaining the first time period constraint parameter according to the first collection time period information and the basic information of the first rubber tree; obtaining the growth environment information of the first rubber tree according to the basic information, and obtaining the first environment constraint parameter according to the growth environment information; inputting the first variety characteristic analysis result, the first time period constraint parameter and the first environment constraint parameter into a tapping point analysis and selection model, and obtaining the first output result of the tapping point analysis and selection model, wherein the first output result includes tapping point parameters; obtaining the historical tapping information of the first rubber tree, wherein, obtaining the historical tapping information of the first rubber tree includes: obtaining the tapping times information of the first rubber tree according to the historical tapping information; obtaining the tapping skin consumption statistical data set of the first rubber tree according to the historical tapping information; performing historical skin consumption analysis on the first rubber tree according to the tapping times information and the tapping skin consumption statistical data set; the tapping point detection control system is communicatively connected to an image acquisition device, and it includes: performing image acquisition of the first rubber tree through the image acquisition device to obtain a first image set; performing image analysis on the first image set to obtain a first image analysis result; performing current state evaluation on the first rubber tree according to the first image analysis result and the historical skin consumption analysis result to obtain a first state evaluation result; performing tapping matching degree evaluation according to the first image analysis result and the tapping times information to obtain a first tapping matching degree evaluation parameter; obtaining a first skin consumption amount constraint parameter according to the first tapping matching degree evaluation parameter and the first state evaluation result; adjusting the tapping point parameters through the first skin consumption amount constraint parameter to obtain the first tapping point parameters.

2. The method according to claim 1, characterized in that, wherein, the obtaining the growth environment information of the first rubber tree according to the basic information, and obtaining the first environment constraint parameter according to the growth environment information includes: obtaining the growth geographical location information of the first rubber tree according to the basic information; obtaining a first tapping surface direction parameter according to the growth geographical location information; obtaining the tapping line direction parameter of the first rubber tree through big data, and taking the first tapping surface direction parameter and the tapping line direction parameter as the first environment constraint parameter.

3. A detection system for the tapping point of a rubber tree, characterized in that, for implementing the method for detecting the tapping point of a rubber tree according to any one of claims 1-2, the system includes: a first obtaining unit, which is used to obtain the variety information of the first rubber tree and obtain the first variety characteristic analysis result according to the variety information; A second acquisition unit, configured to acquire first acquisition period information, and obtain first period constraint parameters according to the first acquisition period information and the basic information of the first rubber tree; A third acquisition unit, configured to obtain the growth environment information of the first rubber tree according to the basic information, and obtain first environment constraint parameters according to the growth environment information; A fourth acquisition unit, configured to input the first variety characteristic analysis result, the first period constraint parameters, and the first environment constraint parameters into a tapping point analysis and selection model, and obtain a first output result of the tapping point analysis and selection model, where the first output result includes tapping point parameters; A fifth acquisition unit, configured to acquire the historical tapping information of the first rubber tree; A ninth acquisition unit, configured to obtain the tapping times information of the first rubber tree according to the historical tapping information; A tenth acquisition unit, configured to obtain a set of tapping skin consumption statistical data of the first rubber tree according to the historical tapping information; An eleventh acquisition unit, configured to perform historical skin consumption analysis on the first rubber tree according to the tapping times information and the set of tapping skin consumption statistical data; A twelfth acquisition unit, configured to perform image acquisition on the first rubber tree through an image acquisition device to obtain a first image set; A thirteenth acquisition unit, configured to perform image analysis on the first image set to obtain a first image analysis result; A fourteenth acquisition unit, configured to perform current state evaluation on the first rubber tree according to the first image analysis result and the historical skin consumption analysis result to obtain a first state evaluation result; A sixteenth acquisition unit, configured to perform tapping matching degree evaluation according to the first image analysis result and the tapping times information to obtain a first tapping matching degree evaluation parameter; A seventeenth acquisition unit, configured to obtain a first skin consumption constraint parameter according to the first tapping matching degree evaluation parameter and the first state evaluation result; A sixth acquisition unit, configured to adjust the tapping point parameters through the first skin consumption constraint parameter to obtain first tapping point parameters.

4. A detection system for the tapping point of a rubber tree Comprising: A processor, the processor is coupled to a memory, and the memory is used to store a program, and when the program is executed by the processor, the system is caused to execute the method according to any one of claims 1 or 2.

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