CN117251640A

CN117251640A - Method, device, equipment and storage medium for generating cultivation scheme recommendation platform

Info

Publication number: CN117251640A
Application number: CN202311536042.2A
Authority: CN
Inventors: 何旭帅; 蔡永维; 丁怀强; 尤力海
Original assignee: Sinochem Agriculture Holdings
Current assignee: Sinochem Agriculture Holdings
Priority date: 2023-11-17
Filing date: 2023-11-17
Publication date: 2023-12-19
Anticipated expiration: 2043-11-17
Also published as: CN117251640B

Abstract

The invention provides a method, a device, equipment and a storage medium for generating a cultivation scheme recommendation platform, and relates to the technical field of agricultural information. The method comprises the following steps: acquiring an operation instruction acting on a platform generation interface; executing the operation corresponding to the operation instruction to determine the target parameters selected for the target crops; generating a cultivation scheme recommendation platform corresponding to the target crop based on the target parameters determined by the at least one operation instruction; wherein the target parameters include: crop parameters of the target crop; or, the crop parameters of the target crop and the cultivation scheme generation algorithm corresponding to the target crop. The method and the device can quickly generate the cultivation scheme recommendation platform, so that the generation efficiency of the cultivation scheme is improved.

Description

Method, device, equipment and storage medium for generating cultivation scheme recommendation platform

Technical Field

The invention relates to the technical field of agricultural information, in particular to a method, a device, equipment and a storage medium for generating a cultivation scheme recommendation platform.

Background

With the development of the economy and society, the demands of people on agricultural product layers and the demands of people on agricultural products are continuously improved, and higher demands are put on the planting of crops. How to cultivate crops better to obtain more ideal yield and quality is a problem that has to be faced in the agricultural development process.

To address this problem, different cultivation management systems are typically developed for different crops. However, such systems are often complex in layout, and only corresponding cultivation schemes can be generated for individual crops, which results in a need to additionally develop and deploy a set of systems when new crops are cultivated, and the development period of the systems is often long, which results in low production efficiency of cultivation schemes.

Disclosure of Invention

The invention provides a generation method, a device, equipment and a storage medium of a cultivation scheme recommendation platform, which are used for solving the problem of low generation efficiency of a cultivation scheme in the prior art and can improve the generation efficiency of the cultivation scheme.

The invention provides a generation method of a cultivation scheme recommendation platform, which comprises the following steps:

acquiring an operation instruction acting on a platform generation interface;

executing the operation corresponding to the operation instruction to determine the target parameters selected for the target crops;

generating a cultivation scheme recommendation platform corresponding to the target crop based on the target parameters determined by at least one operation instruction;

wherein the target parameters include:

crop parameters of the target crop; or,

and generating an algorithm by crop parameters of the target crops and a cultivation scheme corresponding to the target crops.

According to the method for generating the cultivation scheme recommendation platform provided by the invention, if the operation instruction comprises a parameter selection instruction, the executing the operation corresponding to the operation instruction comprises the following steps:

and determining the target parameters from a parameter resource library displayed on the platform generation interface based on the parameter selection instruction, wherein the parameter resource library comprises at least one target parameter.

According to the method for generating the cultivation scheme recommendation platform provided by the invention, the target parameter is determined from the parameter resource library displayed on the platform generation interface based on the parameter selection instruction, and the method comprises the following steps:

determining parameters to be dragged from the parameter resource library based on the parameter selection instruction, and determining a first insertion position of the parameters to be dragged, wherein the first insertion position is positioned in a parameter determination area in the platform generation interface;

and inserting the parameter to be dragged into the first insertion position so as to determine the parameter to be dragged as the target parameter.

According to the method for generating the cultivation scheme recommendation platform provided by the invention, if the operation instruction comprises a parameter adding instruction, the executing the operation corresponding to the operation instruction comprises the following steps:

Determining a parameter to be added indicated by the parameter adding instruction;

and adding the parameters to be added to the parameter resource library.

According to the method for generating the cultivation scheme recommendation platform provided by the invention, if the operation instruction comprises a parameter retrieval instruction and a collection selection instruction, the operation corresponding to the operation instruction is executed, and the method comprises the following steps:

displaying a plurality of parameter sets related to the parameter to be searched based on the parameter to be searched indicated by the parameter searching instruction, wherein the parameter to be searched and the parameter sets have a mapping relation;

determining a target set from the plurality of parameter sets based on the set selection instruction;

the target parameters are determined based on parameters in the target set.

According to the method for generating the cultivation scheme recommendation platform provided by the invention, the parameters to be searched indicated based on the parameter searching instruction display a plurality of parameter sets related to the parameters to be searched, and then the method further comprises the following steps:

acquiring a set modification instruction;

based on the set modification instruction, determining a set to be modified from the plurality of parameter sets, and modifying the set to be modified to obtain a modified parameter set;

And establishing a mapping relation between the modified parameter set and the parameter to be retrieved.

According to the method for generating the cultivation scheme recommendation platform provided by the invention, the cultivation scheme recommendation platform corresponding to the target crop is generated based on the target parameters determined by at least one operation instruction, and the method comprises the following steps:

determining the crop parameters and the cultivation plan generation algorithm based on at least one of the operational instructions;

generating a cultivation scheme recommendation platform corresponding to the target crop based on the crop parameters and the cultivation scheme generation algorithm under the condition that the crop parameters meet the input parameter requirements of the cultivation scheme generation algorithm;

and under the condition that the crop parameters do not meet the input parameter requirements of the cultivation scheme generation algorithm, outputting alarm information, and returning to the step of acquiring the operation instruction acting on the platform generation interface until a cultivation scheme recommendation platform corresponding to the target crop is generated.

The invention also provides a device for generating the cultivation scheme recommendation platform, which comprises the following steps:

the acquisition module is used for acquiring an operation instruction acting on the platform generation interface;

the execution module is used for executing the operation corresponding to the operation instruction so as to determine the target parameter selected for the target crop;

The generation module is used for generating a cultivation scheme recommendation platform corresponding to the target crop based on the target parameters determined by at least one operation instruction;

wherein the target parameters include:

crop parameters of the target crop; or,

The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the generation method of the cultivation scheme recommendation platform according to any one of the above when executing the program.

The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of generating an incubation scheme recommendation platform as described in any one of the preceding.

According to the generation method, the device, the equipment and the storage medium of the cultivation scheme recommendation platform, the operation instruction acting on the platform generation interface is obtained, so that a user can perform visual operation through the platform generation interface, and compared with the development of a new platform through complex codes, the generation efficiency of the cultivation scheme recommendation platform can be improved; executing the operation corresponding to the operation instruction to determine a target parameter selected for the target crop, wherein the target parameter comprises a crop parameter of the target crop; or generating an algorithm by crop parameters of the target crops and cultivation schemes corresponding to the target crops; and generating a cultivation scheme recommendation platform corresponding to the target crop based on the target parameters determined by the at least one operation instruction. Based on the above manner, the user can perform visual operation through the platform generation interface to trigger an operation instruction, so that required target parameters (such as crop parameters or cultivation scheme generation algorithms) can be configured as required, and a required cultivation scheme recommendation platform is generated. Therefore, even if the type of the crop to be cultivated is changed, the cultivation scheme recommendation platform of the crop can be rapidly generated, so that the research and development period is shortened, the generation efficiency of the cultivation scheme recommendation platform is improved, and the generation efficiency of the cultivation scheme is further improved.

Drawings

In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic structural diagram of a system for generating a cultivation scheme recommendation platform provided by the invention;

FIG. 2 is a schematic flow chart of a method for generating a cultivation scheme recommendation platform according to the present invention;

FIG. 3 is a schematic diagram of a platform generation interface according to the present invention;

FIG. 4 is a second schematic diagram of a platform generation interface according to the present invention;

FIG. 5 is a second flow chart of a method for generating a cultivation scheme recommendation platform according to the present invention;

FIG. 6 is a third flow chart of a method for generating a cultivation scheme recommendation platform according to the present invention;

FIG. 7 is a flowchart of a method for generating a cultivation scheme recommendation platform according to the present invention;

FIG. 8 is a flowchart of a method for generating a cultivation scheme recommendation platform according to the present invention;

FIG. 9 is a third diagram illustrating a platform generation interface according to the present invention;

FIG. 10 is a diagram of a process for generating a cultivation scheme recommendation platform provided by the invention;

FIG. 11 is a schematic structural diagram of a generating device of a cultivation scheme recommendation platform provided by the invention;

fig. 12 is a schematic structural diagram of an electronic device according to the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

As described in the background, in order to cultivate crops better, one will usually develop different cultivation management systems for different crops. However, the system has a complex layout, and only a corresponding cultivation scheme can be generated for individual crops, so that a set of system needs to be additionally developed and deployed when new crops need to be cultivated, and the development period of the system is usually long, thus the generation efficiency of the cultivation scheme is low.

In this regard, the present invention provides a method for generating a cultivation scheme recommendation platform, which includes: acquiring an operation instruction acting on a platform generation interface; executing the operation corresponding to the operation instruction to determine a target parameter selected for the target crop, wherein the target parameter comprises a crop parameter of the target crop; or generating an algorithm by crop parameters of the target crops and cultivation schemes corresponding to the target crops; and generating a cultivation scheme recommendation platform corresponding to the target crop based on the target parameters determined by the at least one operation instruction.

For a clearer explanation scheme, the generation system of the cultivation scheme recommendation platform provided by the invention is briefly introduced below. Fig. 1 is a schematic structural diagram of a system for generating a cultivation scheme recommendation platform provided by the invention. Referring to fig. 1, the generation system 100 of the incubation scheme recommendation platform includes a common resource capability layer 120, a low code configuration layer 130, and an application layer 140. In some embodiments, the generation system 100 of the incubation scheme recommendation platform further includes a system layer 110.

The system layer 110 is used to ensure security and controllability of backend access control. As one example, the system layer 110 may include, but is not limited to, at least one of the following functions: user management, authentication management, rights management, and the like.

The common resource capability layer 120 is used to uniformly manage target parameters that may be used to cultivate crops. The common resource capability layer 120 may also be referred to as a parameter resource library, a database, a data layer, a common resource pool, or a data management layer, which is not limited in this embodiment of the present invention.

In some embodiments, the common resource capability layer 120 includes at least one of: a crop parameter library, a cultivation scheme generation algorithm library, a cultivation scheme type library and the like. It should be understood that the crop parameter library includes crop parameters that affect crop growth, planting, or cultivation. In some examples, the crop parameter library may include at least one of: a library of growth environmental parameters, a library of attribute parameters, a library of crop categories and a library of climates (not shown in fig. 1), etc. The contents of the "growth environment parameter", "attribute parameter" and "weathered period" may be referred to the description in the method embodiments below, and will not be described in detail here. The cultivation scheme generation algorithm library comprises algorithms for generating cultivation schemes of different crops or algorithms for generating different cultivation schemes of the same crop. The cultivation scheme can be an irrigation scheme, a fertilization scheme, an illumination scheme, or other possible cultivation schemes. For example, as shown in fig. 1, in the case where the cultivation scheme includes a fertilization scheme and an irrigation scheme, the cultivation scheme generation algorithm library may include: a fertilization recommendation algorithm and an irrigation recommendation algorithm.

The low code configuration layer 130 is configured to determine, from the common resource capability layer 120, a target parameter required by a target crop according to an operation instruction. Illustratively, as also shown in FIG. 1, the low code configuration layer 130 may implement, but is not limited to, at least one of the following configuration capabilities: growth environment parameter configuration, attribute parameter configuration, crop category configuration, and the like. In some embodiments, the low-code configuration layer 130 may also generate a cultivation scheme recommendation platform corresponding to the target crop based on the target parameters selected for the target crop. The cultivation scheme recommendation platform may also be referred to as a cultivation scheme recommendation device, a cultivation scheme recommendation software, a cultivation scheme generation platform, a cultivation scheme generation software, a cultivation scheme recommendation page, or the like.

The application layer 140 is used for implementing interactive services of the user side. For example, the application layer 140 may expose a generated incubation scheme recommendation platform, such as an irrigation scheme recommendation platform or a fertilization scheme recommendation platform. In some embodiments, the application layer 140 may also present or display parameters of the common resource capability layer 120 to the user. In some embodiments, the application layer 140 may also pass the acquired operation instructions to the low code configuration layer 130, so that the low code configuration layer 130 implements parameter configuration according to the operation instructions.

In some embodiments, the generation system 100 of the incubation scheme recommendation platform may further include a communication interface layer 150, where the communication interface layer 150 may also be in wired or wireless communication with other terminals or servers. For example, the system may communicate with an internet of things terminal device (e.g., some sensors, etc.) to obtain soil measurement data, air humidity, or temperature, etc., monitored by the internet of things terminal device in real time. Or can also communicate with internet equipment to obtain meteorological data and the like.

It should be understood that the above division of each level in the generation system 100 of the cultivation scheme recommendation platform is only an example, and is merely a division of a logic function, and other possible division manners may exist in actual implementation, for example, merging levels, or migrating a function of a level to other levels, etc.

It should be noted that, although the generating system 100 of the cultivation scheme recommendation platform may implement or execute the generating method of the cultivation scheme recommendation platform provided by the present invention, other execution subjects may exist in the generating method of the cultivation scheme recommendation platform provided by the present invention. For example, the functions of the low code configuration layer 130 and the common resource capability layer 120 described above may be integrated into one module as another execution subject. For another example, the execution subject may also be a server or a terminal, such as a mobile phone, a tablet computer, a handheld computer, a notebook computer, an augmented reality (augmented reality, AR) \virtual reality (VR) device, and so on. For another example, the execution body may be any other chip having a processing function, such as a central processing unit, an image processing unit, a general purpose processor, a network processor, a digital signal processor, a microprocessor, a microcontroller, a programmable logic device, or any combination thereof. In addition, the generation method of the cultivation scheme recommendation platform provided by the invention can be applied to any agricultural cultivation or planting scene needing to determine the cultivation scheme, and the embodiment of the invention is not particularly limited.

In order to facilitate understanding, the following describes a method for generating the cultivation scheme recommendation platform provided by the invention specifically with reference to the accompanying drawings.

Fig. 2 shows a flow chart of a method for generating a cultivation scheme recommendation platform. As shown in fig. 2, the generating method of the cultivation scheme recommendation platform includes the following steps S210 to S230:

step S210, an operation instruction acting on a platform generation interface is obtained.

The platform generation interface is used for assisting in generating a cultivation scheme recommendation platform in a visual mode, and the cultivation scheme recommendation platform can provide, generate or recommend cultivation schemes suitable for crop cultivation. The platform generation interface can be a web interface, a software interface and the like, and the specific display form of the platform generation interface is not limited.

In some embodiments, the platform generation interface may display: and a parameter display area. The parameter display area is used for displaying some or all parameters in a parameter resource library, where the parameter resource library is used for uniformly managing target parameters possibly used for cultivating crops, and the parameter resource library may also be called a database, a public resource pool, or a public resource capability layer (such as the public resource capability layer 120 shown in fig. 1), etc. It should be understood that the target parameter displayed on the parameter display area may be selected based on the operation instruction.

In some embodiments, the parameter display area may be further divided into a plurality of different sub-areas, for example, the parameter display area may be further subdivided based on parameter type or parameter properties, so that a user may more intuitively view or manage different types of parameters. For example, the parameter display area may include a crop parameter display area and/or an incubation scheme generation algorithm display area. The crop parameter display area may correspond to a crop parameter library in the parameter resource library, and the cultivation scheme generation algorithm display area may correspond to a cultivation scheme generation algorithm library in the parameter resource library. Further, the crop parameter display area may be further divided into four sub-areas of a growth environment parameter display area, an attribute parameter display area, a weather period display area, and a crop category display area. It should be understood that the division of the parameter display area is only one possible example, and other division manners may exist, for example, different sub-areas are combined, a certain sub-area is further split, a parameter in a certain sub-area is divided into another sub-area according to requirements, or a part of the parameter is directly deleted from a certain sub-area, etc.

In addition, in the case where the pre-configured incubation scheme generation algorithm is used by default, the platform generation interface may also not display the incubation scheme generation algorithm display area. Therefore, the user does not need to pay attention to the content of the cultivation scheme generation algorithm, and the selection or viewing time of the user for the target parameters is saved.

In some embodiments, the parameter repository may further include an index of sub-regions, the index of sub-regions being associated with at least one sub-region of the parameter display region, such that a user determines a sub-region to which the index corresponds based on the index of sub-regions. Illustratively, the platform generates a sub-region of the on-interface display parameter display region corresponding to the index of the sub-region based on the selected instruction acting on the index of the sub-library.

In some embodiments, the parameter display area may further include an incubation scheme type display area for indicating capabilities possessed by the finally generated incubation scheme recommendation platform. For example, the incubation scheme type display area may indicate whether the schemes that the ultimately generated incubation scheme recommendation platform can recommend include one or a combination of more of a fertilization scheme, an irrigation scheme, a lighting scheme, an insect repellent scheme, etc., so that the user selects the capabilities of the incubation scheme recommendation platform as desired.

In some embodiments, the platform generation interface may display: and (5) determining a region by the parameters. The parameter determination area is used for displaying target parameters selected, selected or determined by a user. For example, the selected target parameter in the parameter repository may be displayed in the parameter determination area. Therefore, the user can conveniently and clearly check the selected target parameters, and the user experience is improved. It should be noted that the parameter determination area is not an optional area; for example, the selected parameter may be highlighted in the parameter display area and not displayed in the parameter determination area, so that display resources of the platform generation interface are saved, and more display space is reserved in other areas.

In some embodiments, the platform generation interface may display: and previewing the display area. The preview display area is used for displaying a preview interface of the cultivation scheme recommendation platform so that a user can know the page layout of the finally generated cultivation scheme recommendation platform in advance; therefore, when the preview interface does not meet the user requirements, the generation of the cultivation scheme recommendation platform can be timely canceled, and the waste of computational power resources caused by the generation or release of the cultivation scheme recommendation platform which does not meet the user requirements is reduced.

In some embodiments, the platform generation interface may display: the incubation scheme recommends a platform display area. The incubation scheme recommendation platform display area may display the generated incubation scheme recommendation platform in a page form (e.g., H5 form or web form). Therefore, a user can not only use the platform generation interface to generate the cultivation scheme recommendation platform, but also directly obtain or enter the finally generated cultivation scheme recommendation platform at the platform generation interface, so that the user can use the cultivation scheme recommendation platform more quickly, and the generation efficiency of the cultivation scheme is improved.

In some embodiments, the platform generation interface may display: index of incubation scheme recommendation platform. It will be appreciated that the platform generation interface may generate one or more cultivation solution recommendation platforms for different target crops, or one or more cultivation solution recommendation platforms for the same target crop. The index of the cultivation scheme recommendation platform can facilitate a user to quickly locate the generated cultivation scheme recommendation platform, so that unified management of the generated cultivation scheme recommendation platform is realized.

In some embodiments, the platform generation interface may display: an incubation scheme display area for displaying an incubation scheme recommended by the generated incubation scheme recommendation platform, and/or an index of the incubation scheme; the index of the incubation scheme is used to facilitate the user to quickly locate an incubation scheme that has been recommended or generated. For example, in the case where a certain cultivation plan recommendation platform can recommend both irrigation and fertilization plans, the platform display interface can also display an index of the recommended irrigation plan and/or an index of the recommended fertilization plan, so that the user can quickly locate the recommended irrigation plan or the recommended fertilization plan. In addition, the user can not only use the platform generation interface to generate the cultivation scheme recommendation platform, but also directly consult the final cultivation scheme on the platform generation interface, so that the consulting time of the user is saved, and the operation efficiency of the user is improved.

In some embodiments, the platform generation interface may also display: and a device setting area which can configure device parameters corresponding to devices related to the generation of the incubation scheme recommendation platform. For example, a soil moisture meter setting area may be displayed on the platform generation interface, which may set device parameters of the soil moisture meter for testing soil real-time data (e.g., moisture content and/or evapotranspiration, etc.).

In some embodiments, a plurality of draggable components are also displayed on the platform generation interface, each component corresponding to a target parameter that may be used to cultivate the crop. Alternatively, the platform generation interface displays clickable multiple components, each component corresponding to a target parameter that may be used to cultivate the crop. It should be understood that the above "component" may also have other names, such as module, key, etc.; the drag and click may be replaced by a possible user operation such as pulling, pressing, long pressing, stroking, inputting, and the embodiment of the present invention is not limited in particular.

Further, the user operation of the component acting on the platform generation interface can be translated into a corresponding operation instruction by the platform generation interface, so that unified management of the target parameter corresponding to the component by the user is realized.

In some embodiments, the components displayed by the platform generation interface include: concept subcomponents. Wherein the concept subcomponent is used to indicate a concept, name or meaning of a target parameter. It should be appreciated that the target parameters indicated by the concept subcomponent may be crop parameters or algorithm parameters.

In some embodiments, the components displayed by the platform generation interface include: a content sub-component. Wherein the content sub-component is adapted to indicate an optional range to which the target parameter is adapted. For example, the content subcomponent may indicate a range of values for the "age" selectable in the target parameter. For another example, a "soil texture" selectable texture type in the target parameter may be indicated. For another example, the type of method of "soil detection method" selectable in the target parameter may be indicated.

As one possible implementation, the optional scope indicated by the content subcomponent described above is modifiable. Based on this, the accuracy of the selectable range of the target parameter can be improved.

As another possible implementation, the selectable range indicated by the content subcomponent is not modifiable (e.g., the indicated selectable range defaults to a preset selectable range). In this way, the selectable range for reference can be presented to the user, saving the user time in determining the particular selectable range for the target parameter.

It should be appreciated that the target parameters indicated by the content sub-component and the concept sub-component described above may be the same target parameter.

In some embodiments, the components displayed by the platform generation interface include: and (5) a management component. The management component is used for managing each component on the platform generation interface. Further, according to specific management functions, the management components can be further divided into components with different functions, such as adding functional components, deleting functional components and the like, so as to perform management setting on each component on the platform generation interface.

In some embodiments, the components displayed by the platform generation interface may further include: the algorithm updates the subcomponents. The algorithm updating sub-component is used for updating the cultivation scheme generation algorithm corresponding to the algorithm updating component. Based on the method, a user can conveniently update the required cultivation scheme generation algorithm in real time, so that the algorithm is optimized rapidly, and the accuracy of the generated cultivation scheme is improved.

It should be noted that the algorithm updating sub-component is not an optional component. For example, where the algorithm update is automated by default, the platform generation interface may not include an algorithm update subcomponent. Based on the method, the platform generation interface can be simplified, and excessive time waste of a user on the aspect of algorithm updating is avoided.

To more clearly illustrate the possible forms of the platform generation interface, a schematic diagram of one type of platform generation interface is shown below. Referring to fig. 3, the platform generation interface 30 displays a parameter display area 300 thereon, the parameter display area 300 including an index 310 of sub-areas.

Wherein the index 310 of sub-regions includes a first index component 311 (i.e., the component that is shown in text as "crop environmental parameters" in FIG. 3), a second index component 312 (i.e., the component that is shown in text as "attribute parameters" in FIG. 3), and a third index component 313 (i.e., the component that is shown in text as "weather parameters" in FIG. 3).

As shown in fig. 3, in the case where the first index component 311 is selected, a growth environment parameter display area 320 is displayed in the parameter display area 300. Similarly, in the event that the second index component 312 is selected, the parameter display area 300 may display an attribute parameter display area (not shown in FIG. 3). In the case where the third index component 313 is selected, the parameter display area 300 may display a candidate display area (not shown in fig. 3).

Further, in the case where the parameter display area 300 displays the growth environment parameter display area 320, the growth environment parameter display area 320 may display a plurality of components that may be dragged or clicked, each corresponding to one growth environment parameter.

For example, referring to FIG. 3, a component 321 corresponding to the "age of tree" growth environment parameter is displayed in the growth environment parameter display area 320, the component 321 including a concept sub-component 3211 and a content sub-component 3212. Wherein the concept subcomponent 3211 displays the name corresponding to the concept of "age" and the content subcomponent 3212 displays the scope of choice to which the concept of "age" applies. Further, to improve the readability of the component, the content subassembly 3212 may further display a text for prompting the user to operate, for example, may display or display a text message or text "please input tree age (0-99)", so that the user can understand the meaning and the selectable range of the component conveniently, and the user can manage the target parameters uniformly through the component conveniently.

It should be understood that, for other components in the growth environment parameter display area 320 (for example, components corresponding to growth environment parameters such as "soil texture", "seeding date", "germination date", "target yield", "soil detection method", "variety", "planting density", "soil measurement data entry", "geographical location", "humidity ratio", "historical seeding period", "first irrigation time", "last irrigation time", "irrigation mode", "irrigation parameter setting", "rainfall", etc. in fig. 3), reference may be made to the above description of the components 321 corresponding to "tree age", and no further description is given here.

In addition, as shown in FIG. 3, the growth environment parameter display area 320 may also include an add-on function component 322 (i.e., a component that is shown textually as "add" in FIG. 3), the add-on function component 322 being configured to add new growth environment parameters in the parameter display area in accordance with user instructions.

According to the method for generating the cultivation scheme recommendation platform, provided by the embodiment of the invention, the target parameters possibly used for cultivating the crops are displayed to the user in a visual mode, so that the user can conveniently and uniformly manage the target parameters.

Step S220, executing the operation corresponding to the operation instruction to determine the target parameters selected for the target crops.

Wherein the target parameters include:

crop parameters of the target crop; or,

crop parameters of the target crop and a cultivation scheme generation algorithm corresponding to the target crop.

In some embodiments, the crop parameter is a parameter that affects crop growth, planting, or cultivation. By way of example, the crop parameters may include at least one of: growth environment parameters, attribute parameters, climatic periods, crop categories, and the like.

In some embodiments, the growth environment parameters include at least one of: soil parameters (e.g., soil texture, historical soil fertility, soil detection data, or soil type), ambient temperature, ambient humidity, meteorological data (e.g., rainfall, light intensity), planting density, date of sowing, date of germination, mode of irrigation, depth of irrigation, coefficient of rainfall correction, nutrient utilization, coefficient of nutrient correction, age of tree, target yield, variety, etc. The rainfall correction coefficient is used for correcting the influence of rainfall on crop cultivation (such as crop irrigation), and the nutrient correction coefficient is used for correcting the influence of soil own components (such as nitrogen, phosphorus and potassium content or other trace element content and the like) on crop cultivation (such as crop fertilization).

It should be understood that different environments have different influences on cultivation of crops, so that the addition of the growth environment parameters can enable the finally generated cultivation scheme recommendation platform to be more fit with the actual planting scene of the target crops, and flexibility and accuracy of the cultivation scheme are guaranteed.

In some embodiments, the attribute parameters include at least one of: sowing time, nitrogen nutrient parameter setting, phosphorus nutrient parameter setting, potassium nutrient parameter setting, nutrient distribution setting, nutrient redundancy setting and the like.

It should be understood that different crops have different growth requirements or attribute requirements, for example, the setting requirements of the different crops on nutrient parameters such as nitrogen, phosphorus, potassium and the like are also different, so that the addition of the attribute parameters can improve the accuracy of a cultivation scheme recommendation platform for generating the different crops, thereby improving the generation accuracy of the cultivation scheme.

In some embodiments, the climatic period comprises: germination, branching, jointing, heading, anthesis, setting, fruiting, post-fruit nutrition, and withered and yellow.

It will be appreciated that the weathered period will also vary widely from crop to crop, for example, so that the addition of weathered periods may also improve the accuracy of the cultivation program recommendation platform for generating different crops.

In some embodiments, the crop category includes at least one of: field crops, fruit trees, greenhouse crops, and the like. It will be appreciated that other manners of classification of crop categories may also exist, for example, crop categories may also be classified as cash crops, food crops, vegetable crops, fruits, wild fruits, forage crops or medicinal crops, etc.

It will be appreciated that on the one hand, different crop categories may require very different cultivation schemes, for example greenhouse crops may be grown year round, while some field crops may only be grown at a particular time, and thus cultivation schemes adapted to different crop categories may vary considerably. Therefore, different crops can be classified into different crop categories according to the actual conditions, such as strain, variety, growth environment or growth habit, so that the accuracy of a cultivation scheme recommendation platform for generating different crops is improved, and the accuracy of a cultivation scheme is further improved. On the other hand, considering that different crops in the same crop category may have higher similarity, the corresponding cultivation scheme may have higher reference value, so the crop category may be introduced as a crop parameter, so as to improve the generation efficiency of the cultivation scheme recommendation platform.

In some embodiments, the incubation scheme generation algorithm includes at least one of: an irrigation scheme generation algorithm, a fertilization scheme generation algorithm, an illumination scheme generation algorithm, an insect repellent scheme generation algorithm, and the like.

In some embodiments, the cultivation scheme generation algorithm may be an algorithm determined based on a genetic algorithm, an algorithm determined by a kruseal algorithm, or an algorithm determined according to a neural network or deep learning.

In some embodiments, the crop parameters of the target crop and the cultivation scheme generation algorithm corresponding to the target crop have an association relationship. Illustratively, the crop parameters of the target crop meet the input parameter requirements of the cultivation scheme generation algorithm corresponding to the target crop.

In one specific example, the input parameter requirements include: the input parameters of the cultivation scheme generation algorithm are one or more crop parameters of a specified name.

In one specific example, the input parameter requirements include: the input parameters for the cultivation plan generation algorithm are one or more crop parameters of a specified type. For example, in the case where the preset type is a numerical value, the input parameter of the cultivation scheme generation algorithm may be a target yield, but may not be a variety or soil texture.

In some embodiments, the operating instructions for the platform generation interface include at least one of: parameter selection instructions, parameter addition instructions, parameter deletion instructions, parameter retrieval instructions, set selection instructions, set modification instructions, and the like.

It should be noted that, each operation instruction may provide each capability necessary for generating the incubation scheme recommendation platform, for example, may provide the capability of building the business logic and the data structure of the incubation scheme recommendation platform; in addition, the specific implementation of step S220 may refer to the following description, and will not be described in detail here.

Step S230, a cultivation scheme recommendation platform corresponding to the target crop is generated based on the target parameters determined by the at least one operation instruction.

The cultivation scheme recommendation platform is used for recommending, calculating or generating a cultivation scheme suitable for the growth of the target crops, such as an irrigation scheme, a fertilization scheme, an illumination scheme, an insect expelling scheme and the like.

In some embodiments, the above-described incubation scheme recommendation platform may also be referred to as an incubation scheme recommendation device, incubation scheme recommendation software, incubation scheme generation software, or the like. In addition, the cultivation scheme recommendation platform can be in an APP form, an applet form, an H5 page form and a web page form, and the embodiment of the invention is not particularly limited.

In some embodiments, where the target parameter includes a crop parameter of the target crop, step S230 may be embodied as: and taking crop parameters of the target crop as input parameters of a preset cultivation scheme generation algorithm, constructing business logic and a data structure of a cultivation scheme recommendation platform, and generating the cultivation scheme recommendation platform corresponding to the target crop according to the business logic and the data structure.

In other embodiments, in the case that the target parameters include crop parameters of the target crop and a cultivation scheme generation algorithm corresponding to the target crop, step S230 may be specifically implemented as: and taking crop parameters of the target crop as input parameters of a cultivation scheme generation algorithm corresponding to the target crop, constructing business logic and a data structure of a cultivation scheme recommendation platform, and generating the cultivation scheme recommendation platform corresponding to the target crop according to the business logic and the data structure.

In some embodiments, if the preset crop parameters exist, step S230 may be further implemented as: and generating a cultivation scheme recommendation platform corresponding to the target crop based on the target parameter determined by the at least one operation instruction and the preset crop parameter.

In some embodiments, the following steps may be further included after step S230: recommending or generating a cultivation scheme suitable for the target crop according to a cultivation scheme recommendation platform corresponding to the target crop.

According to the generation method of the cultivation scheme recommendation platform, provided by the embodiment of the invention, the operation instruction acting on the platform generation interface is obtained, so that a user can perform visual operation through the platform generation interface, and compared with the development of a new platform through complex codes, the generation efficiency of the cultivation scheme recommendation platform can be improved; executing the operation corresponding to the operation instruction to determine a target parameter selected for the target crop, wherein the target parameter comprises a crop parameter of the target crop; or generating an algorithm by crop parameters of the target crops and cultivation schemes corresponding to the target crops; and generating a cultivation scheme recommendation platform corresponding to the target crop based on the target parameters determined by the at least one operation instruction. Based on the above manner, the user can perform visual operation through the platform generation interface to trigger an operation instruction, so that required target parameters (such as crop parameters or cultivation scheme generation algorithms) can be configured as required, and a required cultivation scheme recommendation platform is generated. Therefore, even if the type of the crop to be cultivated is changed, the cultivation scheme recommendation platform of the crop can be rapidly generated, so that the research and development period is shortened, the generation efficiency of the cultivation scheme recommendation platform is improved, and the generation efficiency of the cultivation scheme is further improved.

Based on any one of the above embodiments, in the method, if the operation instruction includes a parameter selection instruction, the step S220 includes:

and determining target parameters from a parameter resource library displayed on the platform generation interface based on the parameter selection instruction, wherein the parameter resource library comprises at least one target parameter.

The "platform generates the parameter resource library displayed by the interface" may be understood as a parameter display area on the platform generating interface, where the parameter display area is used to display some or all of the parameters in the parameter resource library. The concept of the parameter display area may refer to the description in step S210, and will not be described here.

In an embodiment, based on a parameter selection instruction, determining a parameter to be dragged from a parameter resource library, and determining a first insertion position of the parameter to be dragged, wherein the first insertion position is positioned in a parameter determination area in a platform generation interface; and inserting the parameter to be dragged into the first insertion position so as to determine the parameter to be dragged as a target parameter.

In another embodiment, based on the parameter selection instruction, determining a clicked parameter from the parameter resource library, and determining a second insertion position of the clicked parameter, wherein the second insertion position is located in a parameter determination area in the platform generation interface; inserting the clicked parameter into the second insertion position to determine the clicked parameter as the target parameter.

In another embodiment, the clicked parameter is determined from a parameter repository based on the parameter selection instruction to determine the clicked parameter as the target parameter. Further, after the clicked parameter is determined from the parameter repository, the clicked parameter is highlighted or otherwise distinguished from other parameters (e.g., by thickening the border of the clicked parameter, etc.) to prompt the user for the selected target parameter.

It should be understood that the parameter to be dragged may be a target parameter corresponding to one of the components described in step S210, and the clicked parameter may be a target parameter corresponding to one of the components described in step S210. The drag and click operations can be replaced by other user operations such as pulling, long pressing, stroking, text input and the like.

The method for generating the cultivation scheme recommendation platform provides support for determining the target parameters.

Based on any of the above embodiments, if the operation instruction includes a parameter adding instruction, the step S220 may be specifically implemented as:

determining a parameter to be added indicated by a parameter adding instruction;

And adding the parameters to be added to a parameter resource library.

Illustratively, as shown in FIG. 4, the platform generation interface 40 displays a crop category display area 400, which crop category display area 400 is used to display parameters related to crop categories in the parameter repository, which may also be understood as displaying parameters in the crop category repository in the parameter repository. Referring to fig. 4, a crop category display area 400 may display a crop category of "field crops" and a crop category of "fruit trees".

The three crops of spring corn, summer corn and winter wheat are displayed under the crop category corresponding to the field crops, and the three crops of dwarf apples, arbor apples and citrus are displayed under the crop category corresponding to the fruit trees.

In addition, a "new" button 410 is displayed in the crop category "fruit tree", and if a user operation on the "new" button 410 is detected, a parameter input box 420 is popped up. Further, if it is detected that the "ok" key 430 in the parameter input box 420 is clicked, a parameter adding instruction is obtained, and the parameter to be added indicated by the parameter adding instruction is the text parameter input in the parameter input box 420. For example, in the case where the text parameter input in the parameter input box 420 is "pear", the parameter "pear" to be added is added to the crop category corresponding to the "fruit tree" in the crop category display area 400.

According to the generation method of the cultivation scheme recommendation platform, which is provided by the embodiment of the invention, the missing parameters (such as the parameters to be added) can be added to the parameter resource library when the parameters are missing, so that the target parameters in the parameter resource library are perfected, and the reliability and the accuracy of the generated cultivation scheme recommendation platform are improved.

Based on any of the above embodiments, as shown in fig. 5, if the operation instruction includes a parameter retrieving instruction and a collection selecting instruction, step S220 may be implemented as the following steps:

step S221, based on the parameter to be searched indicated by the parameter searching instruction, displaying a plurality of parameter sets related to the parameter to be searched.

Wherein the parameters to be searched comprise at least one of crop category, crop variety or crop name.

In some examples, the parameters to be retrieved may also include an incubation scheme type.

In some examples, the parameters to be searched indicated by the parameter searching instruction may be one or more. In the case that the parameter retrieval instruction indicates a plurality of parameters to be retrieved, each of the plurality of parameter sets is related to one of the plurality of parameters to be retrieved, or each of the plurality of parameter sets is related to at least one of the plurality of parameters to be retrieved.

In addition, the parameters to be searched have mapping relation with a plurality of parameter sets. In a specific example, in the case that the parameter to be detected is a certain crop type, the plurality of parameter sets are parameter sets that are often used for generating a cultivation scheme of a target crop of the crop type.

Step S222, determining a target set from a plurality of parameter sets based on the set selection instruction.

Step S223, determining target parameters based on parameters in the target set.

In some examples, the step S223 may be specifically implemented as: and directly determining all parameters in the target set as target parameters. It should be noted that the plurality of sets related to the parameter to be retrieved may be understood as templates related to the parameter to be retrieved and including at least one target parameter. Based on the method, a user does not need to construct needed target parameters from scratch, but quickly determines target parameters selected for target crops based on related parameter sets (such as target parameter sets), so that the time for selecting the target parameters by the user is saved, and the efficiency of generating a culture scheme recommendation platform corresponding to the target crops is improved.

In other examples, the step S223 may be specifically implemented as: modifying parameters in the target set to obtain a modified parameter set; and determining all parameters in the modified parameter set as target parameters. Wherein the parameters in the target set are modified, including but not limited to the following operations: additions, deletions, selections, and modifications of optional scope. On the basis of the method, on one hand, a user does not need to construct a needed target parameter from scratch, but the target parameter is determined by modifying a related parameter set, so that the selection time of the user for the target parameter is saved, and the generation efficiency of the culture scheme recommendation platform is improved; on the other hand, the adjustment of parameters can be realized at the parameter combination level, the accuracy and the reliability of a parameter set are improved, and the accuracy and the reliability of a finally generated culture scheme recommendation platform are further improved.

As a specific example, in the case where the parameter to be retrieved is "apple", a plurality of parameter sets related to "apple" may be displayed. For example, a parameter set corresponding to "dwarfed apples", a parameter set corresponding to "arbor apples", a parameter set corresponding to "fruit trees" which are crop categories in which "apples" are located, or a parameter set corresponding to "citrus" which is a crop category of "fruit trees" may be displayed. Under the condition that a cultivation scheme recommendation platform corresponding to a novel apple needs to be generated, a target set can be determined from the plurality of parameter sets related to the apple, so that target parameters corresponding to the novel apple can be rapidly determined according to the target set.

It will be appreciated that crops of the same crop class have some commonality and reference when cultivated. Based on the method, under the condition that a cultivation scheme recommendation platform corresponding to a new crop needs to be generated, the parameter set of other crops belonging to the same crop category with the new crop can be referred, so that the target parameters of the new crop can be rapidly determined or adjusted, the speed of the cultivation scheme recommendation platform for generating the new crop is improved, and the generation efficiency of the cultivation scheme is improved.

The generation method of the cultivation scheme recommendation platform provided by the embodiment of the invention can ensure that a user does not need to construct needed target parameters from scratch, thereby saving the selection time of the user for the target parameters, improving the efficiency of generating the cultivation scheme recommendation platform corresponding to the target crops, and further improving the generation efficiency of the cultivation scheme.

Based on any of the above embodiments, as shown in fig. 6, after the step S221, the method further includes:

step S224, acquiring a set modification instruction.

The set modification instruction is used for modifying one or more parameter sets in a plurality of parameter sets related to the parameter to be retrieved.

Step S225, determining a set to be modified from a plurality of parameter sets based on the set modification instruction, and modifying the set to be modified to obtain a modified parameter set.

Step S226, a mapping relation between the modified parameter set and the parameter to be retrieved is established.

As a possible implementation manner, after the mapping relation between the modified parameter set and the parameter to be retrieved is established, the modified parameter set may be replaced by the modified parameter set.

As another possible implementation manner, after the mapping relation between the modified parameter set and the parameter to be retrieved is established, the modified parameter set may be added to the plurality of parameter sets related to the parameter to be retrieved.

It should be noted that, the steps S224 to S226 may be performed before the step S222, or may be performed after the step S222. The embodiment of the present invention is not particularly limited thereto.

According to the generation method of the cultivation scheme recommendation platform, on one hand, multiple reliable parameter sets can be provided, so that a user does not need to determine target parameters one by one, but determines the target parameters based on the multiple parameter sets related to the parameters to be searched, the determination time of the target parameters is shortened, and the generation efficiency of the cultivation scheme recommendation platform is improved; on the other hand, the provided multiple parameter sets can be corrected from the parameter set layer, so that the multiple parameter sets related to the parameters to be searched can be displayed more accurately, and the reliability of the generated cultivation scheme corresponding to the target crop is improved.

Based on any of the above embodiments, as shown in fig. 7, step S230 may be implemented as the following steps:

step S231, determining crop parameters and a cultivation scheme generation algorithm based on at least one operation instruction.

And step 232, generating a cultivation scheme recommendation platform corresponding to the target crop based on the crop parameters and the cultivation scheme generation algorithm under the condition that the crop parameters meet the input parameter requirements of the cultivation scheme generation algorithm.

And step S233, outputting alarm information under the condition that the crop parameters do not meet the input parameter requirements of the cultivation scheme generation algorithm, and returning to the step of acquiring the operation instruction acting on the platform generation interface until the cultivation scheme recommendation platform corresponding to the target crop is generated.

The generation method of the cultivation scheme recommendation platform provided by the embodiment of the invention can give an alarm in time under the condition that crop parameters do not meet the requirements or key crop parameters are missing, and the cultivation scheme recommendation platform is generated under the condition that the crop parameters meet the input parameter requirements of the cultivation scheme generation algorithm, so that the accuracy and the reliability of the cultivation scheme recommendation platform are improved.

In order to more clearly illustrate the method for generating the cultivation scheme recommendation platform provided by the embodiment of the invention, a specific embodiment is described below as an example.

Referring to fig. 8, a flowchart of a method for generating an incubation scheme recommendation platform is shown in fig. 8. It can be seen that in some embodiments, the method for generating an incubation scheme recommendation platform may include the following steps:

step 810, configuring a parameter resource library.

The parameter resource library comprises at least one target parameter, and the target parameter comprises crop parameters of target crops and/or a cultivation scheme generation algorithm corresponding to the target crops.

Step S820, determining the crop type of the target crop.

In some examples, if the crop category of the target crop exists in the parameter repository, the category of the target crop is selected from the parameter repository based on the platform-generated interface (e.g., based on a parameter display area on the platform-generated interface that is used to display some or all of the parameters in the parameter repository).

In some examples, if the crop category of the target crop does not exist in the parameter resource library, the crop category of the target crop is newly added in the parameter resource library according to the operation instruction.

Step S830, determining the target parameters selected for the target crop from the parameter resource library based on the operation instruction and the crop category of the target crop.

Illustratively, step S830 may be embodied as: determining a plurality of parameter sets related to the crop category of the target crop from a parameter resource library based on the crop category of the target crop and the parameter retrieval instruction; determining a target set from a plurality of parameter sets based on the set selection instruction; a target parameter selected for the target crop is determined based on the parameters in the target set.

Furthermore, a preview interface of the cultivation scheme recommendation platform can be displayed and temporarily stored under the condition that the target parameters selected by the target crops are determined. By way of example, a schematic diagram of a platform generation interface is shown in fig. 9. Referring to fig. 9, a parameter determination area 910 and a preview display area 920 are displayed on the platform generation interface 900.

The parameter determination area 910 displays the growth environment parameters (such as fertilization parameters, irrigation parameters, tree ages, soil textures, sowing dates, varieties, target yields, planting densities, soil measurement data entry, etc.) selected for the target crops, attribute parameters (such as nitrogen nutrient parameter settings, phosphorus nutrient parameter settings, potassium nutrient parameter settings, nutrient distribution settings, nutrient redundancy settings, etc. shown in fig. 9), and crop categories (such as field crops, fruit trees, greenhouse crops, etc. shown in fig. 9).

The preview display area 920 displays a preview interface of the generated incubation recommendation platform, for example, a preview interface of an incubation recommendation platform in the form of an applet is shown in fig. 9. Based on the preview interface, the finally generated cultivation scheme recommendation platform is a fertilization scheme recommendation platform, so that a user can perform fertilization parameter setting. In the generated cultivation scheme recommendation platform, a user can name the parameter scheme name by himself. In addition, the user can also "select a crop" and determine the "variety" of the crop on the cultivation plan recommendation platform. Finally, after inputting specific contents such as soil detection method, nitrogen nutrient parameter setting, phosphorus nutrient parameter setting, potassium nutrient parameter setting, nutrient distribution setting, and nutrient redundancy setting, a recommended fertilization scheme (not shown in the figure) may also be generated.

It should be appreciated that steps S820 and S830 described above may be considered a specific implementation of step S220 described above.

Step S840, a cultivation scheme recommendation platform is generated based on the target parameters selected for the target crop.

For example, step S840 may be embodied as: and (3) publishing the preview interface of the cultivation scheme recommendation platform generated in the step (S830) to generate the cultivation scheme recommendation platform. The cultivation scheme recommendation platform can be in an APP form, an applet form, an H5 page form and a web page form, and the embodiment of the invention is not particularly limited.

As a specific example, a generation process diagram of an incubation scheme recommendation platform is shown in fig. 10, and referring to (1) in fig. 10, a parameter display area 1010 and an incubation scheme type display area 1020 are included on the platform generation interface 1000.

The parameter display area 1010 in fig. 10 displays crop categories of target crops including field crops (e.g., spring corn, summer corn, winter wheat, spring wheat, japonica rice, and indica rice), fruit trees (e.g., dwarf apples, arbor apples, and citrus), and greenhouse crops (not shown in fig. 10), among others.

The cultivation scheme type display area 1020 in fig. 10 displays the types of cultivation schemes that can be generated, and only two types of fertilization schemes and irrigation schemes are shown in fig. 10. If the 'set fertilization parameters' in fig. 10 is selected, a fertilization scheme recommendation platform is generated; if "set irrigation parameters" in fig. 10 is selected, an irrigation scheme recommendation platform is generated.

Under the condition that the crop type of the target crop is determined to be spring corn and the type of the cultivation scheme is selected to be a fertilization scheme, the spring corn can be used as a parameter to be searched, the target parameter selected for the spring corn is directly determined from a parameter resource library, and then a cultivation scheme recommendation platform corresponding to the spring corn is generated. Correspondingly, the platform generation interface 1000 also displays an index 1030 of the cultivation scheme recommendation platform corresponding to the spring corn (i.e., a module corresponding to the "spring corn fertilization parameter" in text in (1) of fig. 10) so that the user can quickly locate the cultivation scheme recommendation platform.

Illustratively, the user may enter into the cultivation scheme recommendation platform corresponding to the spring corn based on the index, and the cultivation scheme recommendation platform corresponding to the spring corn may be independent of the platform generation interface 1000, or may display the cultivation scheme recommendation platform display area displayed on the platform generation interface, that is, the page shown in (2) in fig. 10. After the user completes the specific contents of parameter scheme names, crops, varieties, soil detection methods, nitrogen nutrient parameter settings, phosphorus nutrient parameter settings, potassium nutrient parameter settings, nutrient allocation settings, nutrient redundancy settings, etc., a recommended fertilization scheme (not shown in the figure) can be generated. Further, if it is detected that the user clicks on the area shown as "water and fertilizer scheme" in the text of fig. 10, a cultivation scheme display area (not shown in the figure) may also be displayed on the platform generating interface 1000, and the recommended fertilization scheme or the scheme index of the recommended fertilization scheme may be displayed on the cultivation scheme display area.

In some embodiments, if it is detected that the user clicks on an area of fig. 10 where text is displayed as "soil moisture content", a moisture meter setting area (not shown) may also be displayed on the platform generation interface 1000, where the displayed moisture meter setting area may set device parameters of the moisture meter for testing real-time data of soil (e.g., moisture content and/or evapotranspiration, etc.).

According to the generation method of the cultivation scheme recommendation platform, provided by the embodiment of the invention, a user can perform visual operation through the platform generation interface, and rapidly configure required target parameters according to the operation instructions.

In some embodiments, after the above step S840, the following steps S850 to S870 are further included:

step S850, obtaining specific values of crop parameters of the target crop, and substituting the specific values of the crop parameters into a cultivation scheme generation algorithm corresponding to the target crop to obtain a cultivation scheme of the target crop.

The specific value of the crop parameter may be data input by a user, or may be a value from an internet of things or an internet device. For example, where the crop parameter includes meteorological data, the specific value of the meteorological data may be a value from an internet device. For another example, where the crop parameter includes soil detection data, the soil detection data may be a value from an internet of things device (e.g., a soil moisture sensor). The embodiment of the present invention is not particularly limited thereto.

Step S860, judging whether the crop parameters of the target crop meet the input parameter requirements of the cultivation scheme generation algorithm corresponding to the target crop, executing step S870 if the input parameter requirements are met, and returning to execute step S850 if the input parameter requirements are not met.

Step S870, saving the cultivation scheme of the target crops.

The generation method of the cultivation scheme recommendation platform provided by the embodiment of the invention can enable a user to quickly acquire the cultivation scheme of the target crop based on the cultivation scheme recommendation platform corresponding to the target crop. In addition, the cultivation scheme is generated under the condition that the crop parameters meet the input parameter requirements of the cultivation scheme generation algorithm, and the accuracy and the reliability of the cultivation scheme are improved.

It can be seen that the foregoing description of the solution provided by the embodiments of the present invention has been presented mainly from a method perspective. To achieve the above-mentioned functions, embodiments of the present invention provide corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The generation device of the cultivation scheme recommendation platform provided by the invention is described below, and the generation device of the cultivation scheme recommendation platform described below and the generation method of the cultivation scheme recommendation platform described above can be correspondingly referred to each other.

Fig. 11 is a schematic structural diagram of a generating device of a cultivation scheme recommendation platform provided by the present invention, and as shown in fig. 11, the generating device of a cultivation scheme recommendation platform includes:

an obtaining module 1110, configured to obtain an operation instruction acting on a platform generation interface;

an execution module 1120, configured to execute an operation corresponding to the operation instruction, so as to determine a target parameter selected for the target crop;

the generating module 1130 is configured to generate a cultivation scheme recommendation platform corresponding to the target crop based on the target parameter determined by the at least one operation instruction;

wherein the target parameters include:

crop parameters of the target crop; or,

It should be noted that the division of the modules in fig. 11 is illustrative, and is merely a logic function division, and another division manner may be implemented in practice. For example, two or more functions may also be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules.

Fig. 12 illustrates a physical structure diagram of an electronic device, as shown in fig. 12, which may include: processor 1210, communication interface (Communications Interface), 1220, memory 1230 and communication bus 1240, wherein processor 1210, communication interface 1220 and memory 1230 communicate with each other via communication bus 1240. Processor 1210 may invoke logic instructions in memory 1230 to perform the generation method of the incubation scheme recommendation platform described in any of the embodiments above.

In addition, the logic instructions in the memory 1230 described above may be implemented in the form of software functional units and sold or used as a stand-alone product, stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product, where the computer program product includes a computer program, where the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer can execute the method for generating the cultivation scheme recommendation platform according to any one of the foregoing embodiments.

In yet another aspect, the present invention further provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the method of generating an incubation plan recommendation platform provided by the above methods.

The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. The method for generating the cultivation scheme recommendation platform is characterized by comprising the following steps of:

acquiring an operation instruction acting on a platform generation interface;

wherein the target parameters include:

crop parameters of the target crop; or,

2. The method for generating an incubation scheme recommendation platform according to claim 1, wherein if the operation instruction includes a parameter selection instruction, the executing the operation corresponding to the operation instruction includes:

3. The method for generating a cultivation plan recommendation platform according to claim 2, wherein the determining the target parameter from a parameter resource library displayed on the platform generation interface based on the parameter selection instruction includes:

4. The method for generating an incubation plan recommendation platform according to claim 2, wherein if the operation instruction includes a parameter adding instruction, the executing the operation corresponding to the operation instruction includes:

and adding the parameters to be added to the parameter resource library.

5. The method for generating a cultivation scheme recommendation platform according to claim 1, wherein if the operation instruction includes a parameter retrieval instruction and a collection selection instruction, the executing the operation corresponding to the operation instruction includes:

the target parameters are determined based on parameters in the target set.

6. The method according to claim 5, wherein the displaying a plurality of parameter sets related to the parameter to be searched based on the parameter to be searched indicated by the parameter search instruction, further comprises:

acquiring a set modification instruction;

7. The method for generating a cultivation plan recommendation platform according to any one of claims 1 to 6, wherein the generating a cultivation plan recommendation platform corresponding to the target crop based on the target parameter determined by at least one of the operation instructions comprises:

8. The device for generating the cultivation scheme recommendation platform is characterized by comprising the following steps:

wherein the target parameters include:

crop parameters of the target crop; or,

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements a method of generating an incubation scheme recommendation platform according to any one of claims 1 to 7 when the program is executed by the processor.

10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements a method of generating an incubation recommendation platform according to any one of claims 1 to 7.