CN114722168A - Plant recommendation method and device, electronic equipment and storage medium - Google Patents
Plant recommendation method and device, electronic equipment and storage medium Download PDFInfo
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- CN114722168A CN114722168A CN202210250575.3A CN202210250575A CN114722168A CN 114722168 A CN114722168 A CN 114722168A CN 202210250575 A CN202210250575 A CN 202210250575A CN 114722168 A CN114722168 A CN 114722168A
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Abstract
The application relates to a plant recommendation method, a plant recommendation device, an electronic device and a storage medium, wherein the plant recommendation method comprises the following steps: acquiring target plant information, wherein the target plant information is used for describing target basic information and/or target maintenance information; inquiring in a knowledge graph based on the target plant information, and determining the plant information to be recommended; the knowledge graph comprises plant maintenance information corresponding to the basic information of the plant and the basic information of the plant; the plant information to be recommended comprises basic information of plants to be recommended and plant maintenance information of the plants to be recommended; and recommending the information of the plants to be recommended. According to the method and the device, the plant information which is stored in the knowledge map and accords with the target plant information is the plant information to be recommended, the plant information to be recommended is recommended, the user can select the plant which is suitable for self maintenance according to the plant information to be recommended, the user can reasonably maintain the plant according to the plant maintenance information in the plant information to be recommended, and therefore the growth condition of the plant is guaranteed to be good.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a plant recommendation method and apparatus, an electronic device, and a storage medium.
Background
With the improvement of living standard of people, more and more people like to cultivate some plants at home, and purify air while beautifying rooms so as to repair body and keep fit and mind. However, for the novice who has not been exposed to plant maintenance, because the knowledge of the novice about flower maintenance is not well understood, the novice may not select the plants suitable for self-maintenance well or adopt the wrong maintenance mode, thereby resulting in poor growth of the plants and even death.
Disclosure of Invention
The application provides a plant recommending method, a plant recommending device, electronic equipment and a storage medium, which are used for solving the problem that the growth condition of plants is poor and even the plants die due to the lack of relevant knowledge of plant maintenance.
In a first aspect, the present application provides a plant recommendation method, including:
acquiring target plant information, wherein the target plant information is used for describing target basic information and/or target maintenance information;
inquiring in a knowledge graph based on the target plant information, and determining plant information to be recommended; the knowledge graph comprises plant information, and the plant information comprises basic information of plants and plant maintenance information corresponding to the basic information of the plants; the plant information to be recommended comprises basic information of the plant to be recommended and plant maintenance information of the plant to be recommended;
and recommending the basic information of the plant to be recommended and the plant maintenance information of the plant to be recommended.
Optionally, the target plant information is used for describing target maintenance information;
the target maintenance information comprises a target growth climate;
the plant maintenance information comprises plant growth climate;
the acquiring of the target plant information comprises:
and acquiring a target region, and determining the climate of the target region as the target growth climate.
Optionally, the target maintenance information further comprises at least one of target watering frequency, target watering time and target growth environment;
the plant maintenance information comprises at least one of plant watering frequency, plant watering time and plant growth environment;
the target basic information comprises at least one of target plant species, target plant height and target plant color;
the basic information of the plant comprises at least one of the type of the plant, the height of the plant and the color of the plant;
the acquiring of the target plant information comprises:
determining at least one of the target watering frequency, the target watering time and the target growth environment according to the input information of the user;
and/or the presence of a gas in the gas,
and determining at least one of the target plant type, the target plant height and the target plant color according to the user input information.
Optionally, the querying in the knowledge graph based on the target plant information to determine the plant information to be recommended includes:
inquiring in a knowledge graph based on the target plant information, and determining the similarity between the plant information in the knowledge graph and the target plant information;
determining the similarity higher than a preset similarity threshold as a target similarity;
and determining the basic information of the plant and the corresponding plant maintenance information in the plant information corresponding to the target similarity as the basic information of the plant to be recommended and the plant maintenance information of the plant to be recommended.
Optionally, the querying in a knowledge graph based on the target plant information to determine the similarity between the plant information in the knowledge graph and the target plant information includes:
for plant information of any plant stored in the knowledge-graph, performing the following operations:
and determining the average similarity between each item in the target plant information and each item in the plant information of any plant as the similarity between the target plant information and the plant information of any plant.
Optionally, the recommending the basic information of the plant to be recommended and the plant maintenance information of the plant to be recommended includes:
and recommending the basic information of the plants to be recommended and the plant maintenance information of the plants to be recommended according to the sequence of the similarity of the targets from large to small.
Optionally, after the recommending the basic information of the plant to be recommended and the plant maintenance information of the plant to be recommended, the method further includes:
acquiring basic information of a plant selected based on the information of the plant to be recommended;
based on the basic information of the selected plant, inquiring in a knowledge graph, and determining plant maintenance information corresponding to the basic information of the selected plant;
and carrying out maintenance reminding on the selected plants based on the plant maintenance information corresponding to the basic information of the selected plants.
In a second aspect, the present application provides a plant recommendation apparatus, comprising:
the system comprises an acquisition module, a management module and a management module, wherein the acquisition module is used for acquiring target plant information, and the target plant information is used for describing target basic information and/or target maintenance information;
the query module is used for querying in a knowledge graph based on the target plant information and determining the plant information to be recommended; the knowledge graph comprises plant information, and the plant information comprises basic information of plants and plant maintenance information corresponding to the basic information of the plants; the information of the plants to be recommended comprises basic information of the plants to be recommended and plant maintenance information of the plants to be recommended;
and the recommending module is used for recommending the basic information of the plants to be recommended and the plant maintenance information of the plants to be recommended.
In a third aspect, the present application provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
a processor, configured to implement the steps of the plant recommendation method according to any one of the embodiments of the first aspect when executing the program stored in the memory.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the plant recommendation method according to any one of the embodiments of the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the plant recommendation method provided by the embodiment of the application, the target plant information is inquired in the knowledge graph to obtain the plant information to be recommended, and the plant information to be recommended is recommended. That is to say, the plant information which is stored in the knowledge graph and conforms to the target plant information is determined as the plant information to be recommended, and the plant information to be recommended is recommended, so that the user selects a plant which is suitable for self maintenance according to the plant information to be recommended, the user reasonably maintains the plant according to the plant maintenance information in the plant information to be recommended, and the growth condition of the plant is ensured to be good.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a plant recommendation method provided in an embodiment of the present application;
fig. 2 is a schematic diagram of a plant recommendation process provided in an embodiment of the present application;
fig. 3 is a schematic view of a plant recommendation device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to solve the problem of poor growth and even death of plants due to lack of knowledge related to plant maintenance, the embodiment of the application provides a plant recommendation method, which is applied to a processor, and the processor can be located in any equipment, such as a server or a user terminal. As shown in fig. 1, the plant recommendation method includes steps 101 to 103:
step 101: and acquiring target plant information.
The target plant information is used for describing target basic information and/or target maintenance information. For the introduction of the target basic information and the target maintenance information, reference is made to the following description, which is not repeated herein.
That is, the target plant information is used to describe the target basic information, or the target plant information is used to describe the target maintenance information, or the target plant information is used to describe the target basic information and the target maintenance information. The following describes the target plant information based on these three cases:
case 1: the target plant information is used for describing target maintenance information.
In one possible implementation, the target plant information describes target maintenance information including a target growth climate. At this time, the target plant information is obtained, that is, the target growth climate in the target maintenance information described by the target plant information is obtained. In this case, plant maintenance information corresponding to basic information of plants in the knowledge map described below includes a plant growth climate.
Specifically, a target region is obtained, and the climate of the target region is determined as a target growth climate, so that the target growth climate in the target maintenance information described by the target plant information is obtained.
The target region may be a region where the user is located, or may be a region where the user specifies to plant plants.
Generally, if the user does not specify the region for planting the plants, the region where the user is located is automatically obtained, the region where the user is located is used as a target region, and the climate of the region where the user is located is determined as the target plant growth climate.
In one possible implementation, the target maintenance information includes one or more of maintenance environment, maintenance method, and maintenance precautions.
Illustratively, the curing environment may include, for example, a growing environment, the curing method may include, for example, watering frequency, and the curing notice may include, for example, watering time.
For example, the frequency of watering may be, for example, once a day or once a month, etc.
Specifically, the target maintenance information further includes at least one of target watering frequency, target watering time, and target growing environment. At this time, target plant information is acquired. That is, the target growth climate in the target maintenance information described by the target plant information is acquired, and at least one of the target watering frequency, the target watering time, and the target growth environment in the target maintenance information described by the target plant information is acquired. At this time, plant maintenance conditions corresponding to the basic information of the plants of the knowledge graph further include at least one of plant watering frequency, plant watering time and plant growth environment.
For the process of obtaining the target growth climate in the target maintenance information described by the target plant information, reference may be made to the above description, which is not repeated herein, and a process of obtaining other information items than the target growth climate in the target maintenance information described by the target plant information, such as at least one of the above target watering frequency, target watering time, and target growth environment, is described below.
Specifically, at least one of a target watering frequency, a target watering time, and a target growing environment is determined based on user input information.
The user input information is information input by a user through voice or text at the client.
Specifically, the growing environment may include at least one of a place where the plant is planted and an environment ventilation condition. Illustratively, the place of planting may be, for example, indoors or outdoors, and the ambient ventilation may be, for example, closed or open.
Case 2: the target plant information is used for describing target basic information.
Wherein the target basic information comprises at least one of a target plant type, a target plant height and a target plant color. At this time, the target plant information, that is, at least one of the target plant type, the target plant height, and the target plant color in the target basic information described by the target plant information is acquired. In this case, the basic information of the plant in the knowledge map includes at least one of the type of the plant, the height of the plant, and the color of the plant.
In one possible implementation, at least one of a target plant type, a target plant height, and a target plant color is determined according to user input information. The user input information is information input by a user through voice or text at the client.
In another possible implementation, the target basic information includes at least one of a target plant type, a target plant height, a target plant color, a color of flowering of the target plant, and a size of flowering of the target plant. In this case, the basic information of the plant in the knowledge map includes at least one of the type of the plant, the height of the plant, the color of flowering of the plant, and the size of flowering of the plant.
Case 3: the target plant information is used for describing target maintenance information and target basic information.
For the introduction of the target maintenance information and the target basic information, and the basic information of the plant and the introduction of the plant maintenance information corresponding to the basic information of the plant in the corresponding knowledge map, reference may be made to the above.
It can be understood that the target maintenance information in the target plant information is maintenance information provided by the user for the plant, and the target basic information in the target plant information is basic information of the plant preferred by the user.
In addition, the target plant information includes target maintenance information and/or target basic information, and it is understood that the target plant information includes at least one of target watering frequency, target watering time, target growing environment, target plant species, target plant height, target plant color, and target growing climate, for example.
It should be noted that, if the user input information is empty, that is, the target basic information and the target maintenance information cannot be extracted from the user input information, the target growth region in the target maintenance information is determined according to the obtained region where the user is located, and the operation of determining the information of the plant to be recommended is performed based on the target growth region and the knowledge graph.
In addition, through the process, the target plant information is obtained, and the basic information of the plant which the user wants to maintain and/or the plant maintenance information which can be provided by the user can be obtained, so that the basic information of the plant which meets the requirements of the user and the corresponding plant maintenance information, namely the plant information to be recommended, can be obtained by inquiring the knowledge map based on the target plant information, and therefore the effects of recommending the proper plant for the user, reasonably maintaining the plant and ensuring the maintenance of the plant by the user are achieved, and the growth condition of the plant maintained by the user is good.
Step 102: and inquiring in the knowledge graph based on the target plant information to determine the plant information to be recommended.
The knowledge graph is used for storing plant information, and the plant information comprises basic information of plants and plant maintenance information corresponding to the basic information of the plants. For the introduction of the basic information of the plant and the plant maintenance information corresponding to the basic information of the plant stored in the knowledge graph, reference may be made to the above-mentioned introduction of the obtained basic information of the plant and the plant maintenance information, except that the knowledge graph is constructed based on the characteristics, the kind, the maintenance knowledge, and the like of each plant obtained from the network.
That is, before step 102 of this embodiment is executed, a knowledge graph needs to be built, the characteristics, the types, and the maintenance knowledge of each plant are sorted, the corresponding relationship between the basic information of the plant and the plant maintenance information is built, and the basic information of the plant, the plant maintenance information, and the corresponding relationship between the basic information of the plant and the plant maintenance information are stored in the knowledge graph.
Optionally, based on the target plant information, querying is performed in the knowledge graph, the similarity between the plant information in the knowledge graph and the target plant information is determined, the similarity higher than a preset similarity threshold is determined as the target similarity, and the plant information corresponding to the target similarity is determined as the plant information to be recommended. The preset similarity threshold may be a predetermined fixed value, or a value determined according to an actual working condition.
In a possible implementation manner, after the target similarity is determined, the basic information of the plant in the plant information corresponding to the target similarity is determined as the basic information of the plant to be recommended, and the plant maintenance information in the plant information corresponding to the target similarity is determined as the plant maintenance information of the plant to be recommended. Of course, the plant maintenance information in the plant information is plant maintenance information corresponding to the basic information of the plant in the plant information.
In one possible implementation manner, in the process of querying in the knowledge-graph based on the target plant information and determining the similarity between the plant information in the knowledge-graph and the target plant information, the following operations are performed on the plant information of any plant stored in the knowledge-graph: and determining the average similarity between each item in the target plant information and each item in the plant information of any plant as the similarity between the target plant information and the plant information of any plant.
Illustratively, the target plant information includes two information items, namely a1 and a2, the information item corresponding to a1 in the plant information of any plant stored in the knowledge-graph is B1, and the information item corresponding to a2 in the plant information of any plant stored in the knowledge-graph is B2. Where a1 and B1 are used to indicate for example the height of the plant and a2 and B2 indicate for example the growing climate of the plant. The similarity between a1 and B1 is 100%, and the similarity between a2 and B2 is 80%, and then the similarity between the target plant information and the plant information of any one of the plants stored in the knowledge graph is 90%.
Illustratively, in the above example, the information item corresponding to a1 in the plant information of another plant stored in the knowledge-graph is C1, and the information item corresponding to a2 in the plant information of the other plant stored in the knowledge-graph is C2. Where C1 is used to indicate e.g. plant height and C2 indicates e.g. the growing climate of the plant. The similarity between a1 and C1 is 85%, and the similarity between a2 and C2 is 45%, and then the similarity between the target plant information and the plant information of the other plant stored in the knowledge-graph is 65%.
For example, in the above example, taking a preset similarity threshold as 80%, if the similarity between the plant information of any plant stored in the above-mentioned knowledge graph and the target plant information exceeds a preset similarity threshold of 80%, and the similarity between the plant information of another plant stored in the knowledge graph and the target plant information does not exceed the preset similarity threshold of 80%, determining that the similarity between the plant information of any plant stored in the knowledge graph and the target plant information is a target similarity, and determining the plant information corresponding to the target similarity, that is, the plant information of any plant stored in the knowledge graph, as the plant information to be recommended.
It should be noted that through the process, the plant information stored in the knowledge graph and having the similarity with the target plant information greater than the preset similarity threshold is determined as the plant information to be recommended, so that the plant information to be recommended can be relatively attached to the target plant information, the information recommended to the user according to the plant information to be recommended is relatively in line with the user requirements, and the user experience is improved.
Step 103: and recommending the basic information of the plants to be recommended and the plant maintenance information of the plants to be recommended.
The plant information to be recommended comprises plant information of at least one plant.
In a possible implementation manner, one or more items of basic information of the plants to be recommended are recommended to the user, or one or more items of plant maintenance information of the plants to be recommended are recommended to the user, or one or more items of basic information of the plants to be recommended and plant maintenance information of the plants to be recommended are recommended to the user.
In a possible implementation manner, the plant information to be recommended is displayed through texts and/or pictures, or the plant information to be recommended is played through voice so as to recommend at least one piece of plant information in the plant information to be recommended.
In a possible implementation manner, the information of the plant to be recommended is recommended, that is, the information of the plant to be recommended is recommended to the user through the terminal device used by the user.
In one possible implementation manner, the plant information of the at least one plant in the plant information to be recommended is recommended in the order of the target similarity from large to small. Namely recommending the basic information of the plants to be recommended and the plant maintenance information of the plants to be recommended according to the sequence of the similarity of the targets from large to small. Of course, the plant maintenance information of the plant to be recommended and the basic information of the plant to be recommended correspond to each other.
Illustratively, the plant information to be recommended includes plant information of a plant 1, plant information of a plant 2, and plant information of a plant 3, wherein the target similarity, i.e., the similarity between the plant information of the plants 1 to 3 and the target plant information is 100%, 80%, and 90%, respectively. At this time, the plant information of the plants 1 to 3 is recommended in the order of the plant information of the plant 1, the plant information of the plant 3, and the plant information of the plant 2.
It should be noted that, through the above process, the target plant information is queried in the knowledge graph to obtain the plant information to be recommended, and the plant information to be recommended is recommended. That is to say, the plant information which is stored in the knowledge graph and conforms to the target plant information is determined as the plant information to be recommended, and the plant information to be recommended is recommended, so that the user selects a plant which is suitable for self maintenance according to the plant information to be recommended, or the user reasonably maintains the plant according to the plant maintenance information in the plant information to be recommended, and the plant is ensured to have a good growth condition.
In a possible implementation manner, after the recommendation is performed according to the plant information to be recommended, the basic information of the plant selected based on the plant information to be recommended is obtained, then, the query is performed in the knowledge graph based on the basic information of the selected plant to determine the plant maintenance information corresponding to the basic information of the selected plant, and finally, the maintenance prompt of the selected plant is performed based on the plant maintenance information corresponding to the basic information of the selected plant.
It should be noted that, after the user selects a plant based on the recommendation of the plant information to be recommended, the plant is maintained according to the plant maintenance information in the plant information of the selected plant, so that the growth condition of the plant can be ensured to be good, the user can obtain the achievement feeling and pleasure feeling of maintaining the plant, and the user experience is improved.
Certainly, after the user does not select the plants to be planted based on the information of the plants to be recommended, the maintenance information of the plants to be planted can be determined by inquiring the knowledge map, so that the user is reminded to maintain the plants to be planted based on the plant maintenance information in the plant information.
In another possible implementation manner, after the user selects a plant based on the information of the plant to be recommended, the plant information of the selected plant is directly stored, and in the planting process of the user, the user is prompted to maintain based on the plant information, so that the user can maintain the selected plant reasonably, and the growth condition of the selected plant is ensured to be good.
For example, as shown in fig. 2, the plant recommendation process may acquire plant-related knowledge from the internet, establish a knowledge graph based on the acquired plant-related knowledge, and then determine plant information to be recommended to the user according to the knowledge graph. In the process of determining the plant information to be recommended to the user, a target geographical position, namely the target region, and text or voice information input by the user are acquired, and then subsequent operation is performed based on whether the text information or the voice information input by the user is empty. If the text information or the voice information input by the user is empty, that is, the text information or the voice information input by the user does not contain basic information of the plant and/or plant maintenance information, determining plant information to be recommended based on the target geographical position and the knowledge graph; and if the text information or the voice information input by the user is not empty, determining the plant information to be recommended based on the target geographical position, the user input information and the knowledge graph. And then recommending the information of the plants to be recommended.
In the flow shown in fig. 2, after the information to be recommended is recommended, plant maintenance information may be provided according to plant information corresponding to a plant selected by the user, and plant maintenance reminding may be performed.
Illustratively, the geographic position where the user is obtained is in the Guangdong Zhuhai, the typical south Asia tropical monsoon marine climate of the Zhuhai, the temperature is high all the year round, the rainfall is abundant, and the method is suitable for most cultivation and breeding. The method obtains the situation that a user wants to breed on an open balcony facing the south, the watering frequency can be achieved at one time in one week, and the user likes flowers which are multiple in buds, bright in color and planted in small pots. Based on the information, the plants are cultivated in a place facing towards a balcony in the south, are sufficiently sunny, are easily subjected to direct sunlight in summer, are suitable for cultivating sun-proof flowers and are not suitable for cultivating shady flowers. Based on the obtained information, target plant information can be obtained, wherein the target plant information comprises that the growth climate of the plant is the marine climate of tropical monsoon in south Asia, the ventilation condition of the growth environment of the plant is open, the plant likes the sun, the watering frequency is once a week or more, the flower buds are rich, the flower color is bright, and the target plant information is suitable for potted plant cultivation. And finally, inquiring in the knowledge graph based on the target plant information to obtain the plant information to be recommended. The China rose has florescence, is warm in nature, sufficient in sunlight and suitable for cultivation in a south balcony, has strict requirements on soil and mainly treats potted plant cultivation, and is maintained by watering once in 1-2 weeks or watering to the root of a plant once when the soil is dry, wherein the watering time in summer is early morning and evening, and the watering time in winter is midday. Therefore, the plant recommendation information may be plant information of the chinese rose, that is, basic information of the chinese rose and maintenance information of the chinese rose. At this time, the basic information of the Chinese rose and the maintenance information of the Chinese rose can be displayed to the user through the client, or the basic information of the Chinese rose and the maintenance information of the Chinese rose can be played in voice.
As shown in fig. 3, an embodiment of the present application provides a plant recommending apparatus, which includes an obtaining module 301, a querying module 302, and a recommending module 303.
The obtaining module 301 is configured to obtain target plant information, where the target plant information is used to describe target basic information and/or target maintenance information.
The query module 302 is configured to query in a knowledge graph based on the target plant information, and determine plant information to be recommended; the knowledge graph comprises plant information, and the plant information comprises basic information of plants and plant maintenance information corresponding to the basic information of the plants; the information of the plants to be recommended comprises basic information of the plants to be recommended and plant maintenance information of the plants to be recommended.
And the recommending module 303 is configured to recommend the basic information of the plant to be recommended and the plant maintenance information of the plant to be recommended.
As shown in fig. 4, the embodiment of the present application provides an electronic device, which includes a processor 401, a communication interface 402, a memory 403, and a communication bus 404, where the processor 401, the communication interface 402, and the memory 403 complete mutual communication via the communication bus 404,
a memory 403 for storing a computer program;
in an embodiment of the present application, the processor 401 is configured to implement the steps of the plant recommendation method provided in any one of the foregoing method embodiments when executing the program stored in the memory 403.
The present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the plant recommendation method provided in any one of the foregoing method embodiments.
It is noted that, in this document, relational terms such as "first" and "second," and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for plant recommendation, the method comprising:
acquiring target plant information, wherein the target plant information is used for describing target basic information and/or target maintenance information;
inquiring in a knowledge graph based on the target plant information, and determining plant information to be recommended; the knowledge graph comprises plant information, and the plant information comprises basic information of plants and plant maintenance information corresponding to the basic information of the plants; the information of the plants to be recommended comprises basic information of the plants to be recommended and plant maintenance information of the plants to be recommended;
and recommending the basic information of the plant to be recommended and the plant maintenance information of the plant to be recommended.
2. The plant recommendation method according to claim 1,
the target plant information is used for describing target maintenance information;
the target maintenance information comprises a target growth climate;
the plant maintenance information comprises plant growth climate;
the acquiring of the target plant information comprises the following steps:
and acquiring a target region, and determining the climate of the target region as the target growth climate.
3. The plant recommendation method according to claim 2,
the target maintenance information also comprises at least one item of target watering frequency, target watering time and target growth environment;
the plant maintenance information comprises at least one of plant watering frequency, plant watering time and plant growth environment;
the target basic information comprises at least one of target plant species, target plant height and target plant color;
the basic information of the plant comprises at least one of the type of the plant, the height of the plant and the color of the plant;
the acquiring of the target plant information comprises:
determining at least one of the target watering frequency, the target watering time and the target growth environment according to user input information;
and/or the presence of a gas in the gas,
and determining at least one of the target plant type, the target plant height and the target plant color according to the user input information.
4. The plant recommendation method according to claim 1, wherein the querying in a knowledge graph based on the target plant information to determine the plant information to be recommended comprises:
inquiring in a knowledge graph based on the target plant information, and determining the similarity between the plant information in the knowledge graph and the target plant information;
determining the similarity higher than a preset similarity threshold as a target similarity;
and determining the basic information of the plant and the corresponding plant maintenance information in the plant information corresponding to the target similarity as the basic information of the plant to be recommended and the plant maintenance information of the plant to be recommended.
5. The plant recommendation method according to claim 4, wherein the querying in a knowledge graph based on the target plant information to determine the similarity between the plant information in the knowledge graph and the target plant information comprises:
for plant information of any plant stored in the knowledge-graph, performing the following operations:
and determining the average similarity between each item in the target plant information and each item in the plant information of any plant as the similarity between the target plant information and the plant information of any plant.
6. The plant recommendation method according to claim 4, wherein the recommending the basic information of the plant to be recommended and the plant maintenance information of the plant to be recommended comprises:
and recommending the basic information of the plants to be recommended and the plant maintenance information of the plants to be recommended according to the sequence of the similarity of the targets from large to small.
7. The plant recommendation method according to claim 1, wherein after said basic information recommending the plant to be recommended and the plant maintenance information recommending the plant to be recommended, the method further comprises:
acquiring basic information of a plant selected based on the plant information to be recommended;
based on the basic information of the selected plant, inquiring in a knowledge graph, and determining plant maintenance information corresponding to the basic information of the selected plant;
and carrying out maintenance reminding on the selected plants based on the plant maintenance information corresponding to the basic information of the selected plants.
8. A plant recommendation method device is characterized by comprising the following steps:
the system comprises an acquisition module, a management module and a management module, wherein the acquisition module is used for acquiring target plant information, and the target plant information is used for describing target basic information and/or target maintenance information;
the query module is used for querying in a knowledge graph based on the target plant information and determining the plant information to be recommended; the knowledge graph comprises plant information, and the plant information comprises basic information of plants and plant maintenance information corresponding to the basic information of the plants; the information of the plants to be recommended comprises basic information of the plants to be recommended and plant maintenance information of the plants to be recommended;
and the recommending module is used for recommending the basic information of the plants to be recommended and the plant maintenance information of the plants to be recommended.
9. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing the communication between the processor and the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the plant recommendation method of any one of claims 1-7 when executing the program stored on the memory.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the plant recommendation method according to any one of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117079140A (en) * | 2023-10-13 | 2023-11-17 | 金埔园林股份有限公司 | Landscape plant planting management method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117079140A (en) * | 2023-10-13 | 2023-11-17 | 金埔园林股份有限公司 | Landscape plant planting management method |
| CN117079140B (en) * | 2023-10-13 | 2024-01-23 | 金埔园林股份有限公司 | Landscape plant planting management method |
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