Suitable plant recommendation method and device, storage medium and electronic equipment

Abstract

The invention relates to the technical field of ecological restoration, in particular to a suitable plant recommendation method and device, a storage medium and electronic equipment. The suitable plant recommendation method comprises the steps of extracting an initial plant variety which can be planted in a target area based on historical planting information of the target area; constructing a suitable plant evaluation index system; evaluation indexes of the evaluation index system comprise first-level indexes and a plurality of second-level indexes set under each first-level index; responding to a score of the secondary index of the initial plant variety input by a user to obtain a plant function evaluation index corresponding to the initial plant variety; and performing variety grading according to the plant function evaluation index corresponding to each initial plant variety, and generating suitable plant recommendation information according to a variety grading result. According to the suitable plant recommendation method provided by the invention, suitable plant recommendation information can be provided for the high-cold region so as to carry out ecological restoration.

Description

Technical Field

[0001] This disclosure relates to the field of ecological restoration technology, specifically to a method for recommending suitable plants, a device for recommending suitable plants, a storage medium, and electronic equipment. Background Technology

[0002] In recent years, due to the impact of natural and human factors, ecological and environmental problems have become very serious. However, what deserves more attention is the ecological harm caused by the development of hydropower projects, which has caused significant environmental damage and has a long duration.

[0003] The climate in high-altitude hydropower project areas is extreme, with uneven precipitation, large temperature variations, low soil fertility, and high inorganic salt content. These environmental factors severely limit plant growth. Therefore, the selection of plant species is often limited to a few cold-resistant and adaptable varieties.

[0004] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this disclosure is to provide a method, device, storage medium, and electronic device for recommending suitable plants, which aims to provide suitable plant recommendation information for high-altitude and cold regions, thereby facilitating ecological restoration in these areas.

[0006] Other features and advantages of this disclosure will become apparent from the following detailed description, or may be learned in part from practice of this disclosure.

[0007] According to one aspect of this disclosure, a method for recommending suitable plants is provided, comprising: Extracting initial plant varieties that can be planted within the target area based on historical planting information; and An evaluation index system for suitable plants is constructed; the evaluation index system includes primary indicators and several secondary indicators under each primary indicator. In response to the score of the secondary indicator of the initial plant variety input by the user, a plant function evaluation index corresponding to the initial plant variety is obtained; The initial plant varieties are classified according to their corresponding plant function evaluation indices, and suitable plant recommendations are generated based on the classification results.

[0008] Optionally, the primary indicators include resistance indicators, biological indicators, ecological indicators, and ornamental indicators.

[0009] Optionally, when the primary indicator is a resistance indicator, the secondary indicators under the resistance indicator include cold resistance, disease and pest resistance, drought resistance, tolerance to poor soil, wind resistance, and pollution resistance.

[0010] Optionally, when the primary indicator is a biological indicator, the secondary indicators under the biological indicator include adaptability, distribution range, rootlessness, and growth rate.

[0011] Optionally, when the primary indicator is an ecological indicator, the secondary indicators under the ecological indicator include carbon sequestration and oxygen release, noise reduction, and dust retention.

[0012] Optionally, when the primary indicator is an ornamental indicator, the secondary indicators under the resistance indicator include tree shape, leaf shape and leaf color, flower shape and flower color, and fruit shape and fruit color.

[0013] Optionally, the score of the secondary indicator in response to the user input of the initial plant variety includes: The indicator levels of each secondary indicator in the evaluation indicator system and the corresponding score ranges are pre-configured. In response to the indicator level of the secondary indicator of the initial plant variety selected by the user, provide score options according to the score range corresponding to the selected indicator level; The score for the secondary indicator is obtained in response to the score option selected by the user.

[0014] According to a second aspect of this disclosure, a suitable plant recommendation device is provided, comprising: The extraction module is used to extract initial plant varieties that can be planted within the target area based on historical planting information of the target area; and The indicator module is used to construct an evaluation indicator system for suitable plants; the evaluation indicators of the evaluation indicator system include primary indicators and several secondary indicators under each primary indicator. The scoring module is used to respond to the score of the secondary indicator of the initial plant variety input by the user, so as to obtain the plant function evaluation index corresponding to the initial plant variety. The recommendation module is used to classify the varieties according to the plant function evaluation index corresponding to each initial plant variety, and generate suitable plant recommendation information based on the results of variety classification.

[0015] According to a third aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the suitable plant recommendation method as described in the above embodiments.

[0016] According to a fourth aspect of the present disclosure, an electronic device is provided, characterized in that it includes: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement the suitable plant recommendation method as described in the above embodiments.

[0017] The exemplary embodiments disclosed herein may have some or all of the following beneficial effects: In some embodiments of this disclosure, the technical solutions first extract initial plant varieties suitable for planting based on historical planting information of the target area. Then, a constructed evaluation index system for suitable plants is used to obtain the plant function evaluation index corresponding to the initial plant varieties. Finally, the initial plant varieties are graded based on the plant function evaluation index to obtain recommended information on suitable plants. On the one hand, determining the initial plant varieties suitable for planting in the target area through historical planting information allows for pre-screening of suitable plants, ensuring that the recommended plant varieties are highly adaptable to the target area and reducing the amount of data that needs to be calculated in subsequent recommendations. On the other hand, this disclosure provides an evaluation index system for suitable plants with 17 indicators across 4 dimensions, providing a new standard for screening plants for ecological restoration. This allows for the rapid and accurate selection of suitable plant species, improving the ecological restoration effect and avoiding redundant investment waste caused by improper plant species selection. Furthermore, generating recommended information on suitable plants based on variety grading provides richer information on suitable plants compared to recommending only a few cold-resistant and adaptable plants. This allows for flexible selection and adaptation based on the recommended information.

[0018] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings: Figure 1 The schematic diagram illustrates a flowchart of a method for recommending suitable plants in an exemplary embodiment of the present disclosure; Figure 2 This diagram illustrates an evaluation index system for suitable plants in an exemplary embodiment of the present disclosure. Figure 3 This diagram illustrates the evaluation criteria of an evaluation index system for suitable plants in an exemplary embodiment of the present disclosure. Figure 4 This diagram illustrates an example of displaying initial plant variety details in an exemplary embodiment of the present disclosure. Figure 5 This illustration schematically depicts a diagram showing initial plant variety scoring results in an exemplary embodiment of the present disclosure; Figure 6 This schematic diagram illustrates the composition of a suitable plant recommendation device in an exemplary embodiment of the present disclosure; Figure 7 The schematic diagram illustrates the structure of a computer system of an electronic device according to an exemplary embodiment of the present disclosure. Detailed Implementation

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art.

[0021] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this disclosure. However, those skilled in the art will recognize that the technical solutions of this disclosure can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this disclosure.

[0022] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0023] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0024] In recent years, due to both natural and human factors, ecological and environmental problems have become extremely serious. However, the ecological hazards caused by hydropower project development deserve even more attention, as they cause significant and prolonged environmental damage. High-altitude hydropower project areas experience extreme climates, uneven precipitation distribution, large temperature variations, low soil fertility, and high inorganic salt content. These environmental factors severely limit plant growth.

[0025] Selecting suitable plant species is a key technology for ecological restoration. Currently, many methods rely on engineering experience from the same region or select plant species based on one or a few characteristics. However, the success rate and restoration effect of plant selection are uncertain, and it is difficult to measure the suitability of plant species selection using quantitative indicators.

[0026] To address the aforementioned issues, this disclosure provides a method for recommending suitable plants. This disclosure constructs a more comprehensive evaluation index system with multiple levels and multiple indicators, and uses a quantitative scoring method to clarify the suitability of various plants, providing a new method for the scientific and rapid selection of plants.

[0027] The implementation details of the technical solutions of the embodiments of this disclosure are described in detail below.

[0028] Figure 1 This illustration schematically depicts a flowchart of a method for recommending suitable plants according to an exemplary embodiment of this disclosure. Figure 1 As shown, the method for recommending suitable plants includes steps S101 to S104: Step S101: Extract initial plant varieties that can be planted in the target area based on historical planting information of the target area; and Step S102: Construct an evaluation index system for suitable plants; the evaluation index system includes primary indicators and several secondary indicators under each primary indicator. Step S103: In response to the score of the secondary index of the initial plant variety input by the user, obtain the plant function evaluation index corresponding to the initial plant variety. Step S104: Classify the varieties according to the plant function evaluation index corresponding to each initial plant variety, and generate suitable plant recommendation information based on the results of variety classification.

[0029] In some embodiments of this disclosure, the technical solutions first extract initial plant varieties suitable for planting based on historical planting information of the target area. Then, a constructed evaluation index system for suitable plants is used to obtain the plant function evaluation index corresponding to the initial plant varieties. Finally, the initial plant varieties are graded based on the plant function evaluation index to obtain recommended information on suitable plants. On the one hand, determining the initial plant varieties suitable for planting in the target area through historical planting information allows for pre-screening of suitable plants, ensuring that the recommended plant varieties are highly adaptable to the target area and reducing the amount of data that needs to be calculated in subsequent recommendations. On the other hand, this disclosure provides an evaluation index system for suitable plants with 17 indicators across 4 dimensions, providing a new standard for screening plants for ecological restoration. This allows for the rapid and accurate selection of suitable plant species, improving the ecological restoration effect and avoiding redundant investment waste caused by improper plant species selection. Furthermore, generating recommended information on suitable plants based on variety grading provides richer information on suitable plants compared to recommending only a few cold-resistant and adaptable plants. This allows for flexible selection and adaptation based on the recommended information.

[0030] The following will describe in more detail each step of the suitable plant recommendation method in this exemplary embodiment, with reference to the accompanying drawings and embodiments.

[0031] Specifically, adaptable plants refer to the general term for natural plant flora that are highly adaptable to the ecological environment of a specific region. They generally have many advantages such as wide adaptability, strong resistance, and strong self-propagation ability.

[0032] In step S101, the initial plant varieties that can be planted in the target area are extracted based on the historical planting information of the target area.

[0033] The target area is the region where suitable plants are to be recommended. In the application scenario of this method for recommending suitable plants, the target area is typically a high-altitude hydropower project area. High-altitude regions have fragile natural ecosystems and poor self-repair capabilities, making ecological restoration in hydropower project areas a long-standing technical challenge. With the construction and commissioning of hydropower development projects, while improving local resource utilization efficiency and promoting economic development, a series of ecological and environmental problems have also arisen. Hydropower development projects cause significant surface disturbance, exacerbating the damage to the ecological environment of the project area. During hydropower station construction, dam construction requires large amounts of stone and involves quarrying. Simultaneously, to ensure project safety and smooth traffic flow, extensive excavation is often necessary. Slope excavation damages the original vegetation cover and humus layer, leading to large areas of secondary bare land and severe soil erosion. Once damaged and not promptly restored with artificial vegetation, this further disrupts the ecological environment.

[0034] Once the target area is identified, it is necessary to provide initial plant species suitable for planting within that area. Plant selection generally considers both the local microclimate and microenvironment, as well as high-quality tree and shrub species and grass varieties suitable for local planting. This aims to establish pioneer plant communities, improve soil and microclimate conditions, and create favorable conditions for achieving the ultimate vegetation restoration goal.

[0035] Initial plant varieties include native and introduced varieties. Historical planting information from the target area can be referenced when selecting initial plant varieties. Specifically, for example, sample plots or quadrats within the target area can be used as research objects. Field surveys can be conducted to investigate plant species, quantity characteristics, growth characteristics, community characteristics, and basic ecological habits. Combined with remote sensing images, a plant community distribution map of the study area can be created to identify representative vegetation and its characteristics. Native plant species or newly introduced suitable plant species can then be used as initial plant varieties. Native plants have a stronger adaptability to the local environment, generally exhibiting strong resilience, long service life, and high vegetation community stability. Introduced plants, on the other hand, are suitable for further improving plant diversity, optimizing plant configuration, and enhancing the resilience and stability of the ecosystem. However, continuous monitoring of the integration of introduced plant species into the local environment and timely adjustments based on the results are necessary to ensure effective vegetation restoration.

[0036] Step S102: Construct an evaluation index system for suitable plants; the evaluation index system includes primary indicators and several secondary indicators under each primary indicator.

[0037] Specifically, ecological restoration in high-altitude and cold regions requires the selection of suitable plants based on ecological principles and the characteristics of these regions. It involves controlling and reducing disturbance and damage to the original landform, surface vegetation, and water systems, relying on the ecosystem's self-repair capabilities, and supplementing the disturbed areas and surrounding ecologically fragile areas with artificial assistance measures. Through protection, improvement, transformation, reconstruction, and regeneration, the damaged ecosystem can be restored to a relatively healthy state.

[0038] Therefore, based on the core indicators of vegetation structure and functional characteristics, and taking into account factors such as biodiversity, external disturbances, and socio-economic factors, a more comprehensive evaluation indicator system with multiple levels and multiple indicators should be constructed. Specifically, the following principles can be referenced: (1) Scientificity: The indicators must be able to reflect the vegetation status and characteristics, and have scientificity and representativeness; (2) Comparability: The indicators are universal or compatible in research and long-term observation, and can be applied to different regions or ecosystem types, and have comparability and consistency; (3) Operability: The indicator data must be based on actual field surveys that are easy to obtain, have guaranteed data quality, and be economically feasible; (4) Quantifiability: The indicators can be expressed quantitatively, or can be graded and quantified; (5) Long-term significance: The indicators should be selected with long-term significance, focusing on long-term regular changes rather than instantaneous changes.

[0039] Figure 2 This diagram schematically illustrates an evaluation index system for suitable plants in an exemplary embodiment of this disclosure. For example... Figure 2 As shown, the primary indicators include four dimensions: resistance indicators, biological indicators, ecological indicators, and ornamental indicators. When the primary indicator is a resistance indicator, the secondary indicators under the resistance indicator include six items: cold resistance, disease and pest resistance, drought resistance, tolerance to poor soil, wind resistance, and pollution resistance. When the primary indicator is a biological indicator, the secondary indicators under the biological indicator include four items: adaptability, distribution range, no root suckers, and growth rate. When the primary indicator is an ecological indicator, the secondary indicators under the ecological indicator include three items: carbon sequestration and oxygen release, noise reduction, and dust retention. When the primary indicator is an ornamental indicator, the secondary indicators under the resistance indicator include four items: tree shape, leaf shape and color, flower shape and color, and fruit shape and color.

[0040] The evaluation index system for suitable plants is weighted on a percentage basis, with 100 points as the total weight value (plant function evaluation index). Specific weight values ​​are as follows: Figure 2 As shown, the total resistance index is 40 points, including cold resistance (10), disease and pest resistance (10), drought resistance (5), tolerance to poor soil (5), wind resistance (5), and pollution resistance (5); the total biological index is 30 points, including adaptability (10), distribution range (10), rootless (5), and growth (5); the total ecological index is 20 points, including carbon sequestration and oxygen release (10), noise reduction (5), and dust retention (5); the total ornamental index is 10 points, including tree shape (4), leaf shape and leaf color (2), flower shape and flower color (2), and fruit shape and fruit color (2).

[0041] It should be noted that the weights of the evaluation index system are only illustrative examples and can be adjusted adaptively according to the importance of each index in actual use.

[0042] Step S103: In response to the score of the secondary index of the initial plant variety input by the user, obtain the plant function evaluation index corresponding to the initial plant variety.

[0043] Specifically, when recommending suitable plants, it is necessary to calculate the plant function evaluation index corresponding to each initial plant variety.

[0044] In one embodiment of this disclosure, the score of the secondary indicator in response to user input of the initial plant variety includes: The indicator levels of each secondary indicator in the evaluation indicator system and the corresponding score ranges are pre-configured. In response to the indicator level of the secondary indicator of the initial plant variety selected by the user, provide score options according to the score range corresponding to the selected indicator level; The score for the secondary indicator is obtained in response to the score option selected by the user.

[0045] To obtain more accurate indicator scores, we can first classify each secondary indicator and set corresponding evaluation criteria, and then set corresponding score ranges for each level.

[0046] Figure 3 This diagram schematically illustrates the evaluation criteria of an evaluation index system for suitable plants in an exemplary embodiment of this disclosure. For example... Figure 3 As shown, each secondary indicator is graded. Except for the aesthetic indicator, all indicators are graded from A to E. The aesthetic indicators are graded from A to D or A and B according to their respective weights. The evaluation criteria for each level are also given.

[0047] Based on the above methods, this disclosure proposes a screening framework with resistance indicators and biological indicators as constraint layers, and cold resistance and drought resistance as standard layers, pioneering a scientific screening and evaluation technology for adaptable native plants. This innovation establishes new plant screening standards for ecological restoration of hydropower projects in high-altitude and cold regions, enabling the rapid and accurate selection of suitable plant species, improving the effectiveness of ecological restoration, and avoiding redundant investment and waste caused by inappropriate plant species selection.

[0048] Step S104: Classify the varieties according to the plant function evaluation index corresponding to each initial plant variety, and generate suitable plant recommendation information based on the results of variety classification.

[0049] Specifically, using 100 points as the total weight value (total score), plant varieties with a plant function evaluation index below 60 points are not recommended for use in vegetation restoration; plant varieties with a plant function evaluation index between 60 and 70 points are selectively recommended for use; plant varieties with a plant function evaluation index between 70 and 80 points are recommended for widespread application in ecological restoration; and plant varieties with a score above 80 points are recommended for priority use in vegetation ecological restoration.

[0050] Based on the above method, the initial plant varieties are classified using the plant function evaluation index, resulting in different levels such as not recommended for use, selectively recommended for use, widely applicable, and preferred for use. This facilitates flexible configuration of plant varieties for ecological restoration in high-altitude and cold regions.

[0051] Figure 4 This diagram schematically illustrates an embodiment of the present disclosure that displays details of an initial plant variety. For example... Figure 4 As shown, taking the high-altitude hydropower project area of ​​the Qinghai-Tibet Plateau as the target region, it was determined that water and heat are the dominant factors restricting the distribution of forest vegetation in this area. Through research and summarization of historical planting information, the initial plant species identified include... Figure 4 42 of them.

[0052] Figure 5 This illustration schematically depicts a diagram showing initial plant variety scoring results in an exemplary embodiment of this disclosure. (See diagram for reference.) Figure 5 As shown, it provides an evaluation index system for suitable plants based on the criteria provided in this disclosure. Figure 4 The scoring results of the 42 initial plant varieties.

[0053] Based on the above methods, suitable plants for ecological restoration in the high-altitude hydropower project area of ​​the Qinghai-Tibet Plateau are recommended through a suitable plant evaluation index system. These plants can adapt well to the unfavorable conditions in the project area, such as thin air, low temperature, dry atmosphere, strong solar radiation, strong wind, infertile soil, fragile ecology, short growing season, frequent thawing and freezing, and low temperature. The planting process can ensure a relatively high survival rate, and the plants can be continuously renewed and succeeded through seed propagation or vegetative propagation in the later stage, so as to realize the natural ecological cycle, high efficiency of ecological restoration, and conformity with the concept of sustainable development.

[0054] Figure 6 This schematic diagram illustrates the composition of a suitable plant recommendation device in an exemplary embodiment of the present disclosure, such as... Figure 6 As shown, the suitable plant recommendation device 600 may include an extraction module 601, an index module 602, a scoring module 603, and a recommendation module 604. Wherein: Extraction module 601 is used to extract initial plant varieties that can be planted in the target area based on historical planting information of the target area; and The indicator module 602 is used to construct an evaluation indicator system for suitable plants; the evaluation indicators of the evaluation indicator system include primary indicators and several secondary indicators under each primary indicator. The scoring module 603 is used to respond to the score of the secondary indicator of the initial plant variety input by the user, so as to obtain the plant function evaluation index corresponding to the initial plant variety. The recommendation module 604 is used to classify the varieties according to the plant function evaluation index corresponding to each of the initial plant varieties, and generate suitable plant recommendation information based on the results of the variety classification.

[0055] According to exemplary embodiments of this disclosure, the primary indicators include resistance indicators, biological indicators, ecological indicators, and ornamental indicators.

[0056] According to an exemplary embodiment of this disclosure, when the primary indicator is a resistance indicator, the secondary indicators under the resistance indicator include cold resistance, disease and pest resistance, drought resistance, tolerance to poor soil, wind resistance, and pollution resistance.

[0057] According to an exemplary embodiment of this disclosure, when the primary indicator is a biological indicator, the secondary indicators under the biological indicator include adaptability, distribution range, no root suckers, and growth rate.

[0058] According to an exemplary embodiment of this disclosure, when the primary indicator is an ecological indicator, the secondary indicators under the ecological indicator include carbon sequestration and oxygen release, noise reduction, and dust retention.

[0059] According to an exemplary embodiment of this disclosure, when the primary indicator is an ornamental indicator, the secondary indicators under the resistance indicator include tree shape, leaf shape and leaf color, flower shape and flower color, and fruit shape and fruit color.

[0060] According to an exemplary embodiment of this disclosure, the scoring module 603 is further configured to pre-configure the indicator level of each of the secondary indicators in the evaluation indicator system, and the score range corresponding to the indicator level; In response to the indicator level of the secondary indicator of the initial plant variety selected by the user, provide score options according to the score range corresponding to the selected indicator level; The score for the secondary indicator is obtained in response to the score option selected by the user.

[0061] The specific details of each module in the aforementioned suitable plant recommendation device 600 have been described in detail in the corresponding suitable plant recommendation method, so they will not be repeated here.

[0062] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0063] In exemplary embodiments of this disclosure, a storage medium capable of implementing the above-described methods is also provided. This medium may be a portable compact disc read-only memory (CD-ROM) and include program code, and may run on a terminal device, such as a mobile phone. However, the program product of this disclosure is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0064] In an exemplary embodiment of this disclosure, an electronic device capable of implementing the above-described method is also provided. Figure 7 The schematic diagram illustrates the structure of a computer system of an electronic device according to an exemplary embodiment of the present disclosure.

[0065] It should be noted that, Figure 7 The computer system 700 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0066] like Figure 7 As shown, the computer system 700 includes a Central Processing Unit (CPU) 701, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 702 or programs loaded from storage section 708 into Random Access Memory (RAM) 703. The RAM 703 also stores various programs and data required for system operation. The CPU 701, ROM 702, and RAM 703 are interconnected via a bus 704. An Input / Output (I / O) interface 705 is also connected to the bus 704.

[0067] The following components are connected to I / O interface 705: an input section 706 including a keyboard, mouse, etc.; an output section 707 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to I / O interface 705 as needed. A removable medium 711, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 710 as needed so that computer programs read from it can be installed into storage section 708 as needed.

[0068] In particular, according to embodiments of this disclosure, the processes described below with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 709, and / or installed from removable medium 711. When the computer program is executed by central processing unit (CPU) 701, it performs various functions defined in the system of this disclosure.

[0069] It should be noted that the computer-readable medium shown in the embodiments of this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such transmitted data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0070] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0071] The units described in the embodiments of this disclosure can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the unit itself.

[0072] In another aspect, this disclosure also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into the electronic device. The computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to perform the methods described in the above embodiments.

[0073] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0074] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0075] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein.

[0076] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for recommending suitable plants, characterized in that, include: Extract the initial plant varieties that can be planted in the target area based on the historical planting information of the target area; as well as An evaluation index system for suitable plants is constructed; the evaluation index system includes primary indicators and several secondary indicators under each primary indicator. In response to the score of the secondary indicator of the initial plant variety input by the user, a plant function evaluation index corresponding to the initial plant variety is obtained; The initial plant varieties are classified according to their corresponding plant function evaluation indices, and suitable plant recommendations are generated based on the classification results.

2. The method for recommending suitable plants according to claim 1, characterized in that, The primary indicators include resistance indicators, biological indicators, ecological indicators, and ornamental indicators.

3. The method for recommending suitable plants according to claim 2, characterized in that, When the primary indicator is a resistance indicator, the secondary indicators under the resistance indicator include cold resistance, disease and pest resistance, drought resistance, tolerance to poor soil, wind resistance, and pollution resistance.

4. The method for recommending suitable plants according to claim 2, characterized in that, When the primary indicator is a biological indicator, the secondary indicators under the biological indicator include adaptability, distribution range, rootlessness, and growth rate.

5. The method for recommending suitable plants according to claim 2, characterized in that, When the primary indicator is an ecological indicator, the secondary indicators under the ecological indicator include carbon sequestration and oxygen release, noise reduction, and dust retention.

6. The method for recommending suitable plants according to claim 2, characterized in that, When the primary indicator is an ornamental indicator, the secondary indicators under the resistance indicator include tree shape, leaf shape and leaf color, flower shape and flower color, and fruit shape and fruit color.

7. The method for recommending suitable plants according to claim 1, characterized in that, The score of the secondary indicator in response to the user input of the initial plant variety includes: The indicator levels of each secondary indicator in the evaluation indicator system and the corresponding score ranges are pre-configured. In response to the indicator level of the secondary indicator of the initial plant variety selected by the user, provide score options according to the score range corresponding to the selected indicator level; The score for the secondary indicator is obtained in response to the score option selected by the user.

8. A suitable plant recommendation device, characterized in that, include: The extraction module is used to extract initial plant varieties that can be planted in the target area based on historical planting information of the target area; as well as The indicator module is used to construct an evaluation indicator system for suitable plants; the evaluation indicators of the evaluation indicator system include primary indicators and several secondary indicators under each primary indicator. The scoring module is used to respond to the score of the secondary indicator of the initial plant variety input by the user, so as to obtain the plant function evaluation index corresponding to the initial plant variety. The recommendation module is used to classify the varieties according to the plant function evaluation index corresponding to each initial plant variety, and generate suitable plant recommendation information based on the results of variety classification.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the suitable plant recommendation method as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the suitable plant recommendation method as described in any one of claims 1 to 7.

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