Forest tree growth analysis method for afforestation and seedling raising

Abstract

The invention discloses a forest tree growth analysis method for afforestation and seedling raising, relates to the field of forest trees, and solves the problems of low survival rate and low wood yield of a current afforestation and seedling raising mode. The method specifically comprises the following steps: according to standard soil data corresponding to a forest tree type, analyzing the area condition of a planting area corresponding to the forest tree; analyzing to obtain a region deviation value of a planting region corresponding to the forest; according to the standard environment data corresponding to the forest tree type, the environment condition of the planting area is analyzed, and an environment deviation value of the planting area corresponding to the forest tree is obtained through analysis; forest tree conditions of the forest trees in the planting area are analyzed in combination with the forest tree planting data, and forest tree growth values of the forest trees in the planting area are obtained through analysis; according to the method, intelligent grading is carried out on the growth conditions of the forest trees in the planting area, the growth grades of the forest trees in the planting area are obtained, the growth grades of the forest trees in the planting area are displayed, and adaptive planting of the planting area and the forest tree types is achieved based on multiple factors.

Description

Technical Field

[0001] The invention belongs to the technical field of forestry, and in particular relates to a tree growth analysis method for afforestation and seedling raising. Background Art

[0002] Forestry is an industry that protects the ecological environment to maintain ecological balance, cultivates and protects forests to obtain timber and other forest products, and utilizes the natural characteristics of forests to play a protective role. In the human and biosphere, forestry is engaged in the cultivation, protection, and utilization of forest resources through advanced science and technology and management methods to give full play to the multiple benefits of forests.

[0003] Currently, when afforestation and seedling raising are carried out, trees are usually planted in corresponding areas based on planting experience or soil characteristics. Although this method can cultivate a certain number of seedlings to a certain extent, its survival rate and good quality rate are low, and the adaptive planting of planting areas and tree types is not achieved based on multiple factors. For this reason, we propose a tree growth analysis method for afforestation and seedling raising. Summary of the invention

[0004] The purpose of the present invention is to provide a tree growth analysis method for afforestation and seedling raising to solve the problems raised in the above-mentioned background technology.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for analyzing tree growth for afforestation and seedling raising, the method is specifically as follows:

[0007] Step S10, dividing the tree planting range into multiple planting areas, and collecting real-time regional data and real-time environmental data in different planting areas;

[0008] Step S20, analyzing the regional conditions of the planting areas corresponding to the trees based on the standard soil data corresponding to the tree types, and obtaining the regional deviation values ​​of the planting areas corresponding to the trees;

[0009] Step S30, analyzing the environmental conditions of the planting area according to the standard environmental data corresponding to the tree species, and obtaining the environmental deviation value of the planting area corresponding to the tree species;

[0010] Step S40, analyzing the tree conditions of the trees in the planting area in combination with the tree planting data, and obtaining the tree growth values ​​of the trees in the planting area through analysis;

[0011] Step S50, intelligently grading the growth conditions of the trees in the planting area, obtaining the growth grade of the trees in the planting area, and displaying the growth grade of the trees in the planting area.

[0012] Furthermore, the real-time environmental data are real-time temperature values ​​and real-time humidity values ​​of multiple soil samples in different planting areas, and the real-time regional data are sample nutrient content, sample pH, and sample oxygen content of multiple soil samples in different planting areas;

[0013] The standard soil data include the standard nutrient content range, standard pH value and standard oxygen content for different tree species; the standard environmental data include the standard temperature range and standard humidity range for different tree species.

[0014] Furthermore, the analysis process of the regional situation in step S20 is specifically as follows:

[0015] Obtain the tree species in the planting area, and obtain the standard nutrient content range, standard pH and standard oxygen content of the corresponding planting area based on the tree species;

[0016] Then, the sample nutrient content, sample pH and sample oxygen content of the soil samples in the planting area are obtained;

[0017] The sample nutrient content of the soil sample is compared with the standard nutrient content range. If the sample nutrient content belongs to the standard nutrient content range, the nutrient content deviation value between the sample nutrient content and the standard nutrient content range is zero. If the sample nutrient content does not belong to the standard nutrient content range, the sample nutrient content deviation value YFCui between the sample nutrient content and the standard nutrient content range is calculated, where u is the number of the planting area and i is the number of the soil sample.

[0018] Furthermore, the analysis process of the regional situation in step S20 further includes:

[0019] Compare the sample pH with the standard pH, calculate the difference between the sample pH and the standard pH, and take the absolute value to obtain the sample pH deviation value SJCui of the soil sample in the planting area;

[0020] Similarly, the difference between the sample oxygen content and the standard oxygen content is calculated and the absolute value is taken to obtain the sample oxygen content deviation value HYCui of the soil sample in the planting area;

[0021] The sample deviation value YPui of the soil samples in the planting area is calculated by the formula YPui=YFCui×a1+SJCui×a2+HYCui×a3; where a1, a2 and a3 are weight coefficients with fixed values;

[0022] Add the sample deviation values ​​of the soil samples in the planting area and divide the sum by the number of soil samples to obtain the regional deviation value QPu of the planting area corresponding to the trees.

[0023] Furthermore, the calculation method of the sample nutrient content is:

[0024] If the sample nutrient content is less than the left end point of the standard nutrient content interval, the nutrient content deviation value is obtained by subtracting the sample nutrient content from the left end point of the standard nutrient content interval;

[0025] If the sample nutrient content is greater than the right end point of the standard nutrient content range, the nutrient content deviation value is obtained by subtracting the right end point of the standard nutrient content range from the sample nutrient content.

[0026] Furthermore, the analysis process of the environmental conditions in step S30 is specifically as follows:

[0027] Obtain the tree species in the planting area, and obtain the standard temperature range and standard humidity range of the corresponding planting area according to the tree species;

[0028] Then obtain the real-time temperature and humidity values ​​SDui of multiple soil samples in the planting area;

[0029] Compare the real-time temperature value with the standard temperature interval. If the real-time temperature value belongs to the standard temperature interval, the temperature deviation value between the real-time temperature value and the standard temperature interval is zero. If the real-time temperature value does not belong to the standard temperature interval, calculate the temperature deviation value WPui between the real-time temperature value and the standard temperature interval. The calculation process of the temperature deviation value is the same as the calculation process of the nutrient content deviation value.

[0030] Then the real-time humidity value is compared with the standard humidity interval. If the real-time humidity value belongs to the standard humidity interval, the humidity deviation value between the real-time humidity value and the standard humidity interval is zero. If the real-time humidity value does not belong to the standard humidity interval, the humidity deviation value SPui between the real-time humidity value and the standard humidity interval is calculated.

[0031] The environmental deviation value HPui of multiple soil samples in the planting area is calculated by the formula, and the specific formula is as follows:

[0032] HPui=HPui×b1+SPui×b2; where b1 and b2 are weight coefficients with fixed values;

[0033] The environmental deviation value HPu of the corresponding planting area of ​​the forest is obtained by adding up the environmental deviation values ​​of multiple soil samples and dividing the sum by the number of soil samples.

[0034] Furthermore, the tree planting data include the survival rate, lodging rate and insect pest rate of different tree species.

[0035] Furthermore, the analysis process of the forest conditions in step S40 is specifically as follows:

[0036] Obtain the lodging rate DFu and insect pest rate CHu of trees in the planting area;

[0037] Then the survival rate of trees in the planting area is obtained and marked as CHu;

[0038] The tree growth value LSu of the trees in the planting area is calculated by the formula, which is as follows:

[0039] LSu=(1-CHu-CHu)×DFu.

[0040] Furthermore, the calculation process of the growth level in step S50 includes the following sub-steps:

[0041] Obtain the regional deviation value QPu and environmental deviation value HPu of the corresponding planting area of ​​the forest;

[0042] Then obtain the forest growth value LSu of the trees in the planting area;

[0043] The growth grade value DJu of trees in the planting area is calculated by the formula DJu=e×LSu / (QPu+HPu); where e is a natural constant and the tree growth value is used to reflect the growth suitability of trees in the planting area;

[0044] If the tree growth value is less than or equal to the first tree growth threshold, the growth level of the trees in the planting area is the third growth level;

[0045] If the tree growth value is greater than the first tree growth threshold and less than or equal to the second tree growth threshold, the growth level of the trees in the planting area is the second growth level;

[0046] If the tree growth value is greater than the second tree growth threshold, the growth level of the trees in the planting area is the first growth level; wherein the first tree growth threshold is less than the second tree growth threshold.

[0047] Further, the growth suitability of the first growth level is stronger than the growth suitability of the second growth level;

[0048] The growth suitability of the second growth level is stronger than that of the third growth level.

[0049] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0050] The present invention first divides the tree planting range into multiple planting areas, analyzes the regional conditions of the planting areas corresponding to the trees according to the standard soil data corresponding to the tree types, and obtains the regional deviation values ​​of the planting areas corresponding to the trees through analysis, and then analyzes the environmental conditions of the planting areas according to the standard environmental data corresponding to the tree types, and obtains the environmental deviation values ​​of the planting areas corresponding to the trees through analysis, and finally analyzes the tree conditions of the trees in the planting areas in combination with the tree planting data, and obtains the tree growth values ​​of the trees in the planting areas through analysis, and intelligently grades the growth conditions of the trees in the planting areas based on the three sets of data, and obtains the growth grades of the trees in the planting areas. The present invention realizes adaptive planting of planting areas and tree types based on multiple factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0052] Figure 1 is a flow chart of the method of the present invention;

[0053] Figure 2 is the overall system block diagram of the present invention;

[0054] Figure 3 It is a schematic diagram of the structure of the computer device in the present invention. DETAILED DESCRIPTION

[0055] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] In one embodiment, see Figure 1 As shown, the technical solution provided by the present invention is: a tree growth analysis method for afforestation and seedling raising, the method is specifically as follows:

[0057] Step S10, the area division module divides the forest planting range into multiple planting areas, the data acquisition module collects real-time area data and real-time environmental data in different planting areas, and sends the real-time area data and real-time environmental data to the server, and the server sends the real-time area data to the area analysis module and sends the real-time environmental data to the environmental analysis module;

[0058] Step S20, the storage module stores the standard soil data and standard environment data corresponding to different tree types, the regional analysis module analyzes the regional conditions of the planting areas corresponding to the trees, and feeds back the regional deviation values ​​of the planting areas corresponding to the trees obtained through the analysis to the server, and the server sends the regional deviation values ​​of the planting areas corresponding to the trees to the growth grading module;

[0059] Step S30, the environmental analysis module analyzes the environmental conditions of the planting area, obtains the environmental deviation value of the planting area corresponding to the trees through the analysis, and feeds it back to the server, and the server sends the environmental deviation value of the planting area corresponding to the trees to the growth grading module;

[0060] Step S40: the storage module also stores tree planting data of different tree types, and the tree analysis module analyzes the tree conditions of the trees in the planting area in combination with the tree planting data, and sends the tree growth values ​​of the trees in the planting area obtained by the analysis to the server, and the server sends the tree growth values ​​of the trees in the planting area to the growth grading module;

[0061] Step S50, the growth grading module intelligently grades the growth of trees in the planting area, obtains the growth grade of trees in the planting area and feeds it back to the server, the server sends the growth grade of trees in the planting area to the display module, and the display module displays the growth grade of trees in the planting area.

[0062] In this embodiment, if Figure 2 As shown, the above method involves a server, and the server is connected with a data acquisition module, a region division module, a region analysis module, a storage module, an environment analysis module, a display module, a forest analysis module and a growth grading module;

[0063] The area division module is used to divide the forest planting range into multiple planting areas;

[0064] In specific implementation, the planting area can be divided by ridges.

[0065] Further, the data acquisition module is used to collect real-time regional data and real-time environmental data in different planting areas, and send the real-time regional data and real-time environmental data to the server, and the server sends the real-time regional data to the regional analysis module and sends the real-time environmental data to the environmental analysis module;

[0066] It should be specifically explained that the real-time environmental data include the real-time temperature and humidity values ​​of multiple soil samples in different planting areas, and the real-time regional data include the sample nutrient content, sample pH and sample oxygen content of multiple soil samples in different planting areas. Specifically, the nutrients in the soil samples include nitrogen, phosphorus, potassium, etc. in the soil. In practice, the data acquisition module can set sensor components for the planting area.

[0067] In this embodiment, the storage module is used to store standard soil data and standard environmental data corresponding to different tree species; wherein the standard soil data is the standard nutrient content range, standard pH value and standard oxygen content of different tree species, and the standard environmental data is the standard temperature range and standard humidity range of different tree species;

[0068] In this embodiment, the regional analysis module is used to analyze the regional conditions of the planting areas corresponding to the trees. The specific analysis process is as follows:

[0069] Obtain the tree species in the planting area, and obtain the standard nutrient content range, standard pH and standard oxygen content of the corresponding planting area based on the tree species;

[0070] Then, the sample nutrient content, sample pH and sample oxygen content of the soil samples in the planting area are obtained;

[0071] Compare the sample nutrient content of the soil sample with the standard nutrient content interval. If the sample nutrient content belongs to the standard nutrient content interval, the nutrient content deviation value between the sample nutrient content and the standard nutrient content interval is zero. If the sample nutrient content does not belong to the standard nutrient content interval, calculate the sample nutrient content deviation value YFCui between the sample nutrient content and the standard nutrient content interval, where u is the number of the planting area and i is the number of the soil sample.

[0072] Among them, if the sample nutrient content is less than the left end point of the standard nutrient content interval, the nutrient content deviation value is obtained by subtracting the sample nutrient content from the left end point of the standard nutrient content interval; if the sample nutrient content is greater than the right end point of the standard nutrient content interval, the nutrient content deviation value is obtained by subtracting the sample nutrient content from the right end point of the standard nutrient content interval;

[0073] Compare the sample pH with the standard pH, calculate the difference between the sample pH and the standard pH, and take the absolute value to obtain the sample pH deviation value SJCui of the soil sample in the planting area;

[0074] Similarly, the difference between the sample oxygen content and the standard oxygen content is calculated and the absolute value is taken to obtain the sample oxygen content deviation value HYCui of the soil sample in the planting area;

[0075] The sample deviation value YPui of the soil samples in the planting area is calculated by the formula YPui=YFCui×a1+SJCui×a2+HYCui×a3; where a1, a2 and a3 are weight coefficients with fixed values;

[0076] Add the sample deviation values ​​of the soil samples in the planting area and divide the sum by the number of soil samples to obtain the regional deviation value QPu of the planting area corresponding to the trees;

[0077] The regional analysis module feeds back the regional deviation value QPu of the planting area corresponding to the trees to the server, and the server sends the regional deviation value QPu of the planting area corresponding to the trees to the growth grading module.

[0078] In this embodiment, the environmental analysis module is used to analyze the environmental conditions of the planting area, and the analysis process is as follows:

[0079] Obtain the tree species in the planting area, and obtain the standard temperature range and standard humidity range of the corresponding planting area according to the tree species;

[0080] Then obtain the real-time temperature and humidity values ​​SDui of multiple soil samples in the planting area;

[0081] Compare the real-time temperature value with the standard temperature interval. If the real-time temperature value belongs to the standard temperature interval, the temperature deviation value between the real-time temperature value and the standard temperature interval is zero. If the real-time temperature value does not belong to the standard temperature interval, calculate the temperature deviation value WPui between the real-time temperature value and the standard temperature interval. The calculation process of the temperature deviation value is the same as the calculation process of the nutrient content deviation value.

[0082] Then the real-time humidity value is compared with the standard humidity interval. If the real-time humidity value belongs to the standard humidity interval, the humidity deviation value between the real-time humidity value and the standard humidity interval is zero. If the real-time humidity value does not belong to the standard humidity interval, the humidity deviation value SPui between the real-time humidity value and the standard humidity interval is calculated.

[0083] The environmental deviation value HPui of multiple soil samples in the planting area is calculated by the formula, and the specific formula is as follows:

[0084] HPui=HPui×b1+SPui×b2; where b1 and b2 are weight coefficients with fixed values;

[0085] The environmental deviation value HPu of the corresponding planting area of ​​the forest is obtained by adding up the environmental deviation values ​​of multiple soil samples and dividing it by the number of soil samples;

[0086] The environmental analysis module feeds back the environmental deviation value HPu of the planting area corresponding to the trees to the server, and the server sends the environmental deviation value HPu of the planting area corresponding to the trees to the growth grading module.

[0087] In this embodiment, the storage module is also used to store tree planting data of different tree types, wherein the tree planting data is the survival rate, lodging rate and insect pest rate of different tree types;

[0088] The tree analysis module is used to analyze the tree conditions in the planting area. The analysis process is as follows:

[0089] Obtain the lodging rate DFu and insect pest rate CHu of trees in the planting area;

[0090] Then the survival rate of trees in the planting area is obtained and marked as CHu;

[0091] The tree growth value LSu of the trees in the planting area is calculated by the formula, which is as follows:

[0092] LSu=(1-CHu-CHu)×DFu;

[0093] The tree analysis module sends the tree growth value LSu of the trees in the planting area to the server, and the server sends the tree growth value LSu of the trees in the planting area to the growth grading module.

[0094] Furthermore, the growth grading module is used to intelligently grade the growth of trees in the planting area. The intelligent grading process is as follows:

[0095] Obtain the regional deviation value QPu and environmental deviation value HPu of the corresponding planting area of ​​the forest;

[0096] Then obtain the forest growth value LSu of the trees in the planting area;

[0097] The growth grade value DJu of trees in the planting area is calculated by the formula DJu=e×LSu / (QPu+HPu); where e is a natural constant and the tree growth value is used to reflect the growth suitability of trees in the planting area;

[0098] If the tree growth value is less than or equal to the first tree growth threshold, the growth level of the trees in the planting area is the third growth level;

[0099] If the tree growth value is greater than the first tree growth threshold and less than or equal to the second tree growth threshold, the growth level of the trees in the planting area is the second growth level;

[0100] If the tree growth value is greater than the second tree growth threshold, the growth level of the trees in the planting area is the first growth level; wherein the first tree growth threshold is less than the second tree growth threshold;

[0101] It is understandable that the growth suitability of the first growth level is stronger than that of the second growth level, and the growth suitability of the second growth level is stronger than that of the third growth level;

[0102] The growth grading module feeds back the growth grade of the trees in the planting area to the server, and the server sends the growth grade of the trees in the planting area to the display module, and the display module is used to display the growth grade of the trees in the planting area.

[0103] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0104] In another embodiment, if Figure 3 As shown, this embodiment provides a computer device, which may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus. The processor can call the logic instructions in the memory to execute a tree growth analysis method for afforestation and seedling raising, the method comprising: a regional division module divides the tree planting range into multiple planting areas, a data acquisition module collects real-time regional data and real-time environmental data in different planting areas, and sends the real-time regional data and real-time environmental data to a server, the server sends the real-time regional data to the regional analysis module and sends the real-time environmental data to the environmental analysis module; the storage module stores the standard soil data and standard environmental data corresponding to different tree species, the regional analysis module analyzes the regional conditions of the tree corresponding planting area, and the regional deviation value of the tree corresponding planting area obtained by the analysis is fed back to the server, and the server sends the regional deviation value of the tree corresponding planting area to the growth grading module; the environmental analysis module The environmental conditions of the planting area are analyzed, and the environmental deviation values ​​of the planting areas corresponding to the trees obtained through analysis are fed back to the server, and the server sends the environmental deviation values ​​of the planting areas corresponding to the trees to the growth grading module; the storage module also stores tree planting data of different tree species, and the tree analysis module analyzes the tree conditions of the trees in the planting area in combination with the tree planting data, and the tree growth values ​​of the trees in the planting area obtained through analysis are sent to the server, and the server sends the tree growth values ​​of the trees in the planting area to the growth grading module; the growth grading module intelligently grades the growth conditions of the trees in the planting area, and obtains the growth grade of the trees in the planting area and feeds it back to the server, and the server sends the growth grade of the trees in the planting area to the display module, and the display module displays the growth grade of the trees in the planting area.

[0105] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0106] In another embodiment, the present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a tree growth analysis method for afforestation and seedling cultivation provided by the above-mentioned methods, the method including: a regional division module divides the tree planting range into multiple planting areas, a data acquisition module collects real-time regional data and real-time environmental data in different planting areas, and sends the real-time regional data and real-time environmental data to a server, the server sends the real-time regional data to the regional analysis module and sends the real-time environmental data to the environmental analysis module; the storage module stores standard soil data and standard environmental data corresponding to different tree types, the regional analysis module analyzes the regional conditions of the planting areas corresponding to the trees, and obtains the regional deviation value of the planting areas corresponding to the trees through analysis. The data is fed to the server, and the server sends the regional deviation value of the planting area corresponding to the tree to the growth grading module; the environmental analysis module analyzes the environmental conditions of the planting area, and the environmental deviation value of the planting area corresponding to the tree is obtained through analysis and fed back to the server, and the server sends the environmental deviation value of the planting area corresponding to the tree to the growth grading module; the storage module also stores tree planting data of different tree species, and the tree analysis module analyzes the tree conditions of the trees in the planting area in combination with the tree planting data, and the tree growth value of the trees in the planting area is obtained through analysis and sent to the server, and the server sends the tree growth value of the trees in the planting area to the growth grading module; the growth grading module intelligently grades the growth conditions of the trees in the planting area, obtains the growth grade of the trees in the planting area and feeds it back to the server, the server sends the growth grade of the trees in the planting area to the display module, and the display module displays the growth grade of the trees in the planting area.

[0107] In another embodiment, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute a tree growth analysis method for afforestation and seedling cultivation provided above, the method comprising: a regional division module divides the tree planting range into multiple planting areas, a data acquisition module collects real-time regional data and real-time environmental data in different planting areas, and sends the real-time regional data and real-time environmental data to a server, the server sends the real-time regional data to a regional analysis module and sends the real-time environmental data to an environmental analysis module; a storage module stores standard soil data and standard environmental data corresponding to different tree types, the regional analysis module analyzes the regional conditions of the planting areas corresponding to the trees, and feeds back the regional deviation values ​​of the planting areas corresponding to the trees obtained through analysis to the server, and the server sends the regional deviation values ​​of the planting areas corresponding to the trees to the server. The domain deviation value is sent to the growth grading module; the environmental analysis module analyzes the environmental conditions of the planting area, and the environmental deviation value of the planting area corresponding to the tree is obtained through analysis and fed back to the server, and the server sends the environmental deviation value of the planting area corresponding to the tree to the growth grading module; the storage module also stores tree planting data of different tree species, and the tree analysis module analyzes the tree conditions of the trees in the planting area in combination with the tree planting data, and the tree growth value of the trees in the planting area is obtained through analysis and sent to the server, and the server sends the tree growth value of the trees in the planting area to the growth grading module; the growth grading module intelligently grades the growth conditions of the trees in the planting area, and obtains the growth grade of the trees in the planting area and feeds it back to the server, the server sends the growth grade of the trees in the planting area to the display module, and the display module displays the growth grade of the trees in the planting area.

[0108] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0109] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for analyzing tree growth for afforestation and seedling raising, characterized in that: The specific method is as follows: Step S10, dividing the tree planting range into multiple planting areas, and collecting real-time regional data and real-time environmental data in different planting areas; Step S20, analyzing the regional conditions of the planting areas corresponding to the trees based on the standard soil data corresponding to the tree types, and obtaining the regional deviation values ​​of the planting areas corresponding to the trees; Step S30, analyzing the environmental conditions of the planting area according to the standard environmental data corresponding to the tree species, and obtaining the environmental deviation value of the planting area corresponding to the tree species; Step S40, analyzing the tree conditions of the trees in the planting area in combination with the tree planting data, and obtaining the tree growth values ​​of the trees in the planting area through analysis; Step S50, intelligently grading the growth conditions of the trees in the planting area, obtaining the growth grade of the trees in the planting area, and displaying the growth grade of the trees in the planting area.

2. A method for analyzing tree growth for afforestation and seedling raising according to claim 1, characterized in that: The real-time environmental data are the real-time temperature values ​​and real-time humidity values ​​of multiple soil samples in different planting areas, and the real-time regional data are the sample nutrient content, sample pH value and sample oxygen content of multiple soil samples in different planting areas; The standard soil data include the standard nutrient content range, standard pH value and standard oxygen content for different tree species; the standard environmental data include the standard temperature range and standard humidity range for different tree species.

3. A method for analyzing tree growth for afforestation and seedling raising according to claim 2, characterized in that: The analysis process of the regional situation in step S20 is specifically as follows: Obtain the tree species in the planting area, and obtain the standard nutrient content range, standard pH and standard oxygen content of the corresponding planting area based on the tree species; Then, the sample nutrient content, sample pH and sample oxygen content of the soil samples in the planting area are obtained; The sample nutrient content of the soil sample is compared with the standard nutrient content range. If the sample nutrient content belongs to the standard nutrient content range, the nutrient content deviation value between the sample nutrient content and the standard nutrient content range is zero. If the sample nutrient content does not belong to the standard nutrient content range, the sample nutrient content deviation value YFCui between the sample nutrient content and the standard nutrient content range is calculated, where u is the number of the planting area and i is the number of the soil sample.

4. A method for analyzing tree growth for afforestation and seedling raising according to claim 3, characterized in that: The analysis process of the regional situation in step S20 also includes: Compare the sample pH with the standard pH, calculate the difference between the sample pH and the standard pH, and take the absolute value to obtain the sample pH deviation value SJCui of the soil sample in the planting area; Similarly, the difference between the sample oxygen content and the standard oxygen content is calculated and the absolute value is taken to obtain the sample oxygen content deviation value HYCui of the soil sample in the planting area; The sample deviation value YPui of the soil samples in the planting area is calculated by the formula YPui=YFCui×a1+SJCui×a2+HYCui×a3; where a1, a2 and a3 are weight coefficients with fixed values; Add the sample deviation values ​​of the soil samples in the planting area and divide the sum by the number of soil samples to obtain the regional deviation value QPu of the planting area corresponding to the trees.

5. A method for analyzing tree growth for afforestation and seedling raising according to claim 3, characterized in that: The calculation method of sample nutrient content is: If the sample nutrient content is less than the left end point of the standard nutrient content interval, the nutrient content deviation value is obtained by subtracting the sample nutrient content from the left end point of the standard nutrient content interval; If the sample nutrient content is greater than the right end point of the standard nutrient content range, the nutrient content deviation value is obtained by subtracting the right end point of the standard nutrient content range from the sample nutrient content.

6. A method for analyzing tree growth for afforestation and seedling raising according to claim 2, characterized in that: The analysis process of the environmental conditions in step S30 is specifically as follows: Obtain the tree species in the planting area, and obtain the standard temperature range and standard humidity range of the corresponding planting area according to the tree species; Then obtain the real-time temperature and humidity values ​​SDui of multiple soil samples in the planting area; Compare the real-time temperature value with the standard temperature interval. If the real-time temperature value belongs to the standard temperature interval, the temperature deviation value between the real-time temperature value and the standard temperature interval is zero. If the real-time temperature value does not belong to the standard temperature interval, calculate the temperature deviation value WPui between the real-time temperature value and the standard temperature interval. The calculation process of the temperature deviation value is the same as the calculation process of the nutrient content deviation value. Then the real-time humidity value is compared with the standard humidity interval. If the real-time humidity value belongs to the standard humidity interval, the humidity deviation value between the real-time humidity value and the standard humidity interval is zero. If the real-time humidity value does not belong to the standard humidity interval, the humidity deviation value SPui between the real-time humidity value and the standard humidity interval is calculated. The environmental deviation value HPui of multiple soil samples in the planting area is calculated by the formula, and the specific formula is as follows: HPui=HPui×b1+SPui×b2; where b1 and b2 are weight coefficients with fixed values; The environmental deviation value HPu of the corresponding planting area of ​​the forest is obtained by adding up the environmental deviation values ​​of multiple soil samples and dividing the sum by the number of soil samples.

7. A method for analyzing tree growth for afforestation and seedling raising according to claim 1, characterized in that: The tree planting data include the survival rate, lodging rate and insect pest rate of different tree species.

8. A method for analyzing tree growth for afforestation and seedling raising according to claim 7, characterized in that: The analysis process of the forest conditions in step S40 is specifically as follows: Obtain the lodging rate DFu and insect pest rate CHu of trees in the planting area; Then the survival rate of trees in the planting area is obtained and marked as CHu; The tree growth value LSu of the trees in the planting area is calculated by the formula, which is as follows: LSu=(1-CHu-CHu)×DFu.

9. A method for analyzing tree growth for afforestation and seedling raising according to claim 1, characterized in that: The calculation process of the growth level in step S50 includes the following sub-steps: Obtain the regional deviation value QPu and environmental deviation value HPu of the corresponding planting area of ​​the forest; Then obtain the forest growth value LSu of the trees in the planting area; The growth grade value DJu of trees in the planting area is calculated by the formula DJu=e×LSu / (QPu+HPu); where e is a natural constant and the tree growth value is used to reflect the growth suitability of trees in the planting area; If the tree growth value is less than or equal to the first tree growth threshold, the growth level of the trees in the planting area is the third growth level; If the tree growth value is greater than the first tree growth threshold and less than or equal to the second tree growth threshold, the growth level of the trees in the planting area is the second growth level; If the tree growth value is greater than the second tree growth threshold, the growth level of the trees in the planting area is the first growth level; wherein the first tree growth threshold is less than the second tree growth threshold.

10. A method for analyzing tree growth for afforestation and seedling raising according to claim 9, characterized in that: The growth suitability of the first growth level is stronger than that of the second growth level; The growth suitability of the second growth level is stronger than that of the third growth level.

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