CN111105173A - Method and equipment for evaluating suitable growing area of plant - Google Patents

Method and equipment for evaluating suitable growing area of plant Download PDF

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CN111105173A
CN111105173A CN201911419820.3A CN201911419820A CN111105173A CN 111105173 A CN111105173 A CN 111105173A CN 201911419820 A CN201911419820 A CN 201911419820A CN 111105173 A CN111105173 A CN 111105173A
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range
plant
sample data
growing area
evaluating
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道力格亚
高俊刚
王保林
孙广福
白耀华
景文
哈斯尔
张全民
敖一杰
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Inner Mongolia Xiaocao Digital Ecological Industry Co ltd
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Inner Mongolia Mengcao Life Community Big Data Co Ltd
Inner Mongolia M Grass Ecological Environment Group Co Ltd
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Abstract

The application discloses a method and equipment for evaluating a suitable growing area of a plant. The method specifically comprises the following steps: acquiring sample data, wherein each sample data comprises a plurality of indexes, and preprocessing the indexes to remove abnormal values which do not accord with preset values in the sample data; calculating a first range and a second range of a plurality of indices; and respectively superposing the first range and the second range, and determining a suitable growth area of the sample by combining land utilization types corresponding to the multiple indexes. According to the method, a calculation model of the suitable growing area of the plant is developed and integrated into software, the data is obtained through APP, the function of automatically calculating the suitable growing area of the plant in large batch is achieved, and complexity and low efficiency of manual division are avoided.

Description

Method and equipment for evaluating suitable growing area of plant
Technical Field
The application relates to the technical field of ecological environment protection, in particular to a method and equipment for evaluating a suitable growing area of a plant.
Background
The method aims to solve the problem of selecting a region where plants are suitable to grow in ecological big data and the problem of which plants are suitable to grow in a certain region. In the prior art, suitable growth regions are all defined manually, so the defined range is fuzzy and inaccurate. Moreover, the manual planning method has low working efficiency, requires a large amount of experience for judgment, and cannot perform region planning on all plants. The prior art has the above problems.
Disclosure of Invention
The application provides a method for evaluating a suitable plant growth area, which aims to solve the technical problem that the plant growth area needs to be divided manually in the prior art.
In order to solve the technical problems, the technical scheme adopted by the application is that
A method for evaluating a suitable growing area of a plant, comprising:
acquiring sample data, wherein each sample data comprises a plurality of indexes, and preprocessing the indexes to remove abnormal values which do not accord with preset values in the sample data;
calculating a first range and a second range of the plurality of metrics;
and respectively superposing the first range and the second range, and determining a suitable growth area of the sample by combining the land utilization types corresponding to the multiple indexes.
Further, the scheme further comprises: the sample data acquisition method comprises the step of acquiring sample data, wherein the sample data comprises the latitude of the ground place where the user takes a picture and a corresponding plant acquired by an acquisition person or acquired through a grass identification APP.
Further, the scheme further comprises: the indicators include: altitude, rainfall, annual sunshine, temperature accumulation, maximum temperature, minimum temperature.
Further, the scheme further comprises: preprocessing the indexes to eliminate abnormal values which do not accord with preset values in the sample data; the method comprises the following steps: calculating the average value and standard deviation of the specimen of each index, and rejecting the value greater than a first threshold value or smaller than a second threshold value; the second threshold is the sum of the mean and the standard deviation; the second threshold is a difference between the mean and the standard deviation.
Further, the scheme further comprises: performing a second average value on the residual value after the abnormal value is removed, and taking 90% -110% of the average value as a main suitable range; and 80% -120% is taken as a sub-proper range.
Further, the scheme further comprises: and superposing the primary suitable range and the secondary suitable range of each index respectively to obtain a first range and a second range.
Further, the scheme further comprises: superposing the first range and the second range on the land use type respectively to determine a final suitable growth area; the land use type includes grassland or woodland.
Further, the scheme further comprises: the eligible market areas are updated as the sample collection sites are updated.
Further, the scheme further comprises: another technical scheme adopted by the application is as follows: an apparatus for evaluating a suitable growing area of a plant, comprising a processor and a memory, a computer program in the memory and executable on the processor, the processor implementing a method for evaluating a suitable growing area of a plant according to any one of claims 1 to 9 when executing the computer program.
Has the advantages that: different from the prior art, the beneficial effects of this application are: a calculation model of the plant suitable growth area is developed and integrated into software, data are obtained through APP, the function of automatically calculating the suitable growth area of the plant in large batch is achieved, and complexity and inefficiency of manual division are avoided. Through proper growing area calculation software, various background data can be screened, and then land types are added, so that the growing area of the plant is more definite.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a method for evaluating a suitable growing area of a plant provided herein;
FIG. 2 is a schematic structural diagram of an embodiment of a method for evaluating a suitable growing area of a plant provided by the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1, a flowchart of a method for evaluating a suitable growing area of a plant in this embodiment includes the following steps:
step s1, sample data is obtained, each sample data comprises a plurality of indexes, and the indexes are preprocessed to eliminate abnormal values which do not accord with preset presettings in the sample data;
step s2 calculating a first range and a second range of the plurality of metrics;
and step s3, overlapping the first range and the second range respectively, and determining a suitable growing area of the sample by combining land use types corresponding to a plurality of indexes.
In step s1, sample data is obtained, wherein the sample is obtained by a collector or by a grass identifying APP, the photographed ground latitude of the user and the corresponding plant are obtained. Of course, in the present embodiment, the above two acquisition manners are not limited. The sample collection site is also not limited to one or more. And the sample data is different according to different sample collection places.
Each sample includes a plurality of indicators, and the background data of the indicators can be: altitude, rainfall, annual insolation, temperature build-up, maximum temperature, minimum temperature, land use type. Of course, in the present embodiment, the above background data is not limited. Then, the subsequent operation is performed on each index listed above. For example, the collected sample is Heteropappus altaicus, and indexes of the Heteropappus altaicus, such as altitude, rainfall, annual sunshine, accumulated temperature, highest temperature and lowest temperature, can be preprocessed one by one. The pretreatment process specifically comprises the following steps: rejecting abnormal values which do not accord with preset presettings in the sample data, wherein the threshold comprises a first threshold and a second threshold; first, all data of a certain index of a sample are calculated, an average value is obtained, then a standard deviation is calculated, in this embodiment, the sum of the calculated average value and the calculated standard deviation and the difference of the calculated average value and the calculated standard deviation are taken as a first threshold value. Values greater than the sum and less than the difference are rejected.
For example: taking heteropappus altaicus as an example, data of 10 collection points of rainfall are collected, and are respectively (unit mm): 325. 463, 356, 725, 543, 654, 148, 222, 256, 632, calculating the mean and standard deviation of the 10 acquisition points, mean =432.4, standard deviation = 200.38; calculate the sum of the mean and standard deviation: 632.78, respectively; calculate the difference between the mean and standard deviation: 232.02. and when the data of the acquisition points is more than 632.78 or less than 232.02, rejecting the data. Accordingly, 725, 654, 148, 222 in the above samples are rejected.
In step S2, a first range and a second range of the plurality of indices are calculated; two ranges are included here, a first range and a second range, the obtaining steps relating to the first range and the second range including in particular the following:
s21: calculating the average value of the residual sample data after the abnormal value is removed, and recording a second average value;
s22, taking 90-110% of the second average value as a main suitable range; or 80% -120% is taken as a sub-proper range;
and S23, overlapping the primary suitable range and the secondary suitable range of each index respectively to obtain a first range and a second range.
For example: in step s1, after the abnormal value is removed, the average value of the remaining index data is calculated to obtain a second average value 429.17, and 90% to 110% of the value is taken, that is: 386.253-472.087; the range is the main suitable range of the rainfall index of the Heteropappus altaicus; similarly, the average value is within the range of 80-120%, 343.336-386.253 or 472.087-515.004. The second range is broader than the first range.
The above is taken as an example of the precipitation amount, and the calculation is sequentially performed on the indexes of the altitude, the precipitation amount, the annual sunshine, the accumulated temperature, the highest temperature and the lowest temperature based on the same method to obtain the value range.
In step s3, the method for obtaining the suitable growing area of food is as follows: and respectively superposing the first range and the second range, and combining the land utilization types corresponding to the multiple indexes to obtain a final plant growth area.
The superposition means that the first range and the second range are superposed in range respectively to obtain the final first range and the final second range, namely the proper growth range and the secondary affair growth range of the plants, and the proper growth area of the plants is determined more accurately by combining with land utilization types, such as proper herbaceous plants of land types.
In the prior art, suitable growth regions are all defined manually, so the defined range is fuzzy and inaccurate. Moreover, the manual planning method has low working efficiency, requires a large amount of experience for judgment, and cannot perform region planning on all plants. Therefore, according to the method disclosed by the embodiment, a calculation model of the suitable growing area of the plant is developed and integrated into software, and data is acquired through APP or other software or terminals, so that the function of automatically calculating the suitable growing area of the plant in large batch is realized. Through proper growing area calculation software, various background data can be screened, and then land types are added, so that the growing area of the plant is more definite.
Example three:
in order to realize the method for evaluating the suitable plant growth area of the above embodiment, the present application provides a device for evaluating the suitable plant growth area, and specifically refer to fig. 2, where fig. 2 is a schematic structural diagram of an embodiment of the comprehensive evaluation device for soil nutrients provided by the present application.
The device may be an app or an application program or the like running on a terminal such as a mobile phone or a tablet, the application program includes a control module, the method of the first embodiment is run in the control module,
the control module of the present embodiment includes a memory 131 and a processor 132, wherein the memory 131 is coupled to the processor 132.
The memory 131 is used for storing program data, and the processor 132 is used for executing the program data to implement the electrocardiosignal detection method of the above-mentioned embodiment.
In the present embodiment, the processor 132 may also be referred to as a CPU (Central Processing Unit). The processor 132 may be an integrated circuit chip having signal processing capabilities. The processor 132 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor 132 may be any conventional processor or the like.
Embodiments of the present application may be implemented in software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, an electronic device, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.

Claims (9)

1. A method for evaluating a suitable growing area of a plant, comprising:
acquiring sample data, wherein each sample data comprises a plurality of indexes, and preprocessing the indexes to remove abnormal values which do not accord with preset values in the sample data;
calculating a first range and a second range of the plurality of metrics;
and respectively superposing the first range and the second range, and determining a suitable growth area of the sample by combining the land utilization types corresponding to the multiple indexes.
2. The method according to claim 1, wherein the obtaining of sample data comprises obtaining the latitude of the ground and the corresponding plant photographed by the user through acquirers or through acquirers APP.
3. The method of claim 2, wherein the index comprises:
altitude, rainfall, annual sunshine, temperature accumulation, maximum temperature, minimum temperature.
4. The method according to claim 1, wherein the plurality of indicators are preprocessed to remove abnormal values in the sample data which do not conform to the preset value; the method comprises the following steps: calculating the average value and standard deviation of the specimen of each index, and rejecting the value greater than a first threshold value or smaller than a second threshold value; the second threshold is the sum of the mean and the standard deviation; the second threshold is a difference between the mean and the standard deviation.
5. The method for evaluating a suitable plant growth area according to claim 4, wherein the residual value after removing the abnormal value is subjected to a second average value, and 90% -110% of the average value is taken as a main suitable range; and 80% -120% is taken as a sub-proper range.
6. The method according to claim 5, wherein said primary fitness range and said secondary fitness range for each index are superimposed to obtain a first range and a second range, respectively.
7. The method of claim 6, wherein the first range and the second range are respectively superimposed on the land use type to determine a final suitable growing area; the land use type includes grassland or woodland.
8. The method of claim 7, wherein the suitable market area is updated with the sample collection location.
9. An apparatus for evaluating a suitable growing area of a plant according to any one of claims 1 to 9, comprising a processor and a memory, a computer program in the memory and executable on the processor, the processor implementing a method for evaluating a suitable growing area of a plant according to any one of claims 1 to 9 when executing the computer program.
CN201911419820.3A 2019-12-31 2019-12-31 Method and equipment for evaluating suitable growing area of plant Pending CN111105173A (en)

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CN116168015A (en) * 2023-03-21 2023-05-26 国家海洋信息中心 Identification method and device for mangrove repair suitable area
CN116502912A (en) * 2023-04-23 2023-07-28 甘肃省人民医院 Method and device for detecting potential distribution of medicinal plants, storage medium and electronic equipment
CN116823576A (en) * 2023-06-30 2023-09-29 北京极嗅科技有限公司 Evaluation method and system for plant suitable area of original drug
CN117708256A (en) * 2023-12-13 2024-03-15 中化现代农业有限公司 Method, device, equipment and storage medium for displaying suitable planting area of crops

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Publication number Priority date Publication date Assignee Title
CN113624912A (en) * 2020-05-08 2021-11-09 鸿富锦精密电子(天津)有限公司 Plant growth monitoring method, monitoring device and readable storage medium
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CN116168015A (en) * 2023-03-21 2023-05-26 国家海洋信息中心 Identification method and device for mangrove repair suitable area
CN116168015B (en) * 2023-03-21 2024-03-26 国家海洋信息中心 Identification method and device for mangrove repair suitable area
CN116502912A (en) * 2023-04-23 2023-07-28 甘肃省人民医院 Method and device for detecting potential distribution of medicinal plants, storage medium and electronic equipment
CN116502912B (en) * 2023-04-23 2024-01-30 甘肃省人民医院 Method and device for detecting potential distribution of medicinal plants, storage medium and electronic equipment
CN116823576A (en) * 2023-06-30 2023-09-29 北京极嗅科技有限公司 Evaluation method and system for plant suitable area of original drug
CN116823576B (en) * 2023-06-30 2023-12-26 北京极嗅科技有限公司 Evaluation method and system for plant suitable area of original drug
CN117708256A (en) * 2023-12-13 2024-03-15 中化现代农业有限公司 Method, device, equipment and storage medium for displaying suitable planting area of crops

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