WO2018176681A1

WO2018176681A1 - Method and system for simulating plant cultivation

Info

Publication number: WO2018176681A1
Application number: PCT/CN2017/092545
Authority: WO
Inventors: 陈伟
Original assignee: 深圳前海弘稼科技有限公司
Priority date: 2017-03-31
Filing date: 2017-07-11
Publication date: 2018-10-04
Also published as: CN107066563A

Abstract

A method and system for simulating plant cultivation. The method for simulating plant cultivation comprises: storing, according to plant types, sample parameters of multiple types of plants and pictures which correspond to the sample parameters and show growing states of the plants (102); receiving the plant type cultivated this time and cultivation parameters for determining growing states of the plant, and analyzing and predicting the growing states of the plant cultivated this time in all stages (104); and feeding back the growing result of the plant cultivated this time (106). Simulation of cultivation before the plant is cultivated is achieved and cultivation experiences are accumulated, thereby effectively avoiding a cultivation failure and waste of cost caused by lack of experience. Furthermore, a user can experience the fun of personal involvement in a cultivation process.

Description

Method and system for simulating plant cultivation

The present application claims priority to Chinese Patent Application No. 2009102068977, filed on March 31, 2017, the entire disclosure of which is incorporated herein by reference. .

Technical field

The present invention relates to the field of plant cultivation, and in particular to a method and system for simulating plant cultivation.

Background technique

China is the world's largest population, and agriculture in China has always been regarded as a strategic industry that is safe and stable. If China’s crops fail, any country will not be able to help our country solve the problem of people’s food and clothing. Therefore, the stable development of agriculture is of great significance to China. Only by mastering the agricultural production experience, improving crop production techniques, vigorously developing agriculture, and ensuring adequate supply of various agricultural products can we avoid the adverse effects of world food shortages and ensure China’s The sustained and rapid development of the economy has made China a world-class economic power as soon as possible.

Forestry is an important basic industry and public welfare undertaking. It is responsible for protecting and developing forest resources, protecting and regulating wetland resources, protecting and saving wildlife, preventing and controlling desertification, guiding and supervising land greening, providing material products and ecology. The supply task of products plays an important role in economic construction, ecological construction, cultural construction and social construction.

However, current planting methods in agriculture and forestry have the following drawbacks:

(1) The grower cannot personally feel the planting process without actually planting it;

(2) The grower controls various parameters in the plant growth process according to his own planting experience, such as the number and frequency of watering, the frequency of fertilization, and the control of temperature. This is because some growers have no planting experience or lack of experience, resulting in plants not living, low yield and so on.

Summary of the invention

The present invention aims to solve at least one of the technical problems existing in the prior art or related art.

To this end, it is an object of the present invention to provide a method of simulating plant cultivation.

Another object of the invention is to propose a system for simulating plant cultivation.

In view of this, according to an object of the present invention, a method for simulating plant cultivation is provided, comprising: storing sample parameters of a plurality of types of plants according to plant species and pictures showing plant growth status corresponding to sample parameters; receiving the present The plant species used in the sub-planting and the planting parameters used to determine the plant growth state, analyze and predict the growth state of the plants at each stage of the planting; feedback the growth results of the planting.

The method for simulating plant planting provided by the invention stores the sample parameters of various plants and the pictures showing the state of plant growth corresponding to the sample parameters according to the plant species; receiving the plant species selected by the user and determining the plants The planting parameters of the growth state, analyze and predict the growth state of the plant at each stage of the planting; feedback the growth results of the planting. In the process of simulating plant species, a large number of sample parameters and corresponding images are stored in the database, and the plant species selected by the user and the planting parameters from the sowing to plant germination, plant growth, flowering, and various stages of the results are compared with the sample parameters. . In addition, the sample parameters and pictures are classified and stored according to the plant species, so that the sample resources of the corresponding species can be quickly retrieved for different types of plants that are simulated and planted. Analyze and predict the planting results of the customers, and feed them back to the customers in the form of pictures. It is clear to the user that there are clear and visual understandings of the different planting results obtained from different planting parameters. It realizes the accumulation of planting experience through simulated planting before the actual planting of the user, effectively avoids planting failure due to lack of experience, wastes cost, and can also experience the fun of personal participation during the planting process.

The above method for simulating plant cultivation according to the present invention may further have the following technical features:

In the above technical solution, preferably, the planting manners of various stages of the plant are stored, and the planting method includes sample parameters and pictures corresponding to the case and the case; after the selected planting mode, the same attribute of the case in the planting mode The sample parameters are ranked, and the rankings of the sample parameters of different attributes are combined to obtain the ranking of the cases, and several cases are pushed in order from the best to the bad for the user to select.

In this technical solution, various planting methods of various stages of plants are stored, and each planting mode is matched with specific planting parameters and pictures as a sample, and various types of plants include agricultural plants such as rice, corn, cotton, etc., and also include forestry. Plants such as pines, poplars, etc. Take rice as an example, there is In the planting method, the planting method of ultra-thin planting is adopted; in some planting methods, rice is planted in the greenhouse; in some planting methods, rice is planted in the mountainous area; some planting methods are suitable for one season rice; some planting methods are suitable for two seasons of rice, Customers can choose the appropriate planting method according to the geographical area of their own and the type of rice planted, special requirements and other actual conditions. After the user selects the planting method, the sample parameters are ranked according to different attributes for the cases stored in different planting modes, and then the ranking of the sample parameters of different attributes is integrated to obtain the ranking of the case, in order from superior to inferior. , pushing a number of cases for the user to choose, the user can control the planting parameters according to the top of the push or the planting parameters of the plant stage (for example: the plant germination stage, the user needs to control the light, water, temperature, oxygen , fertilization, fight drugs and other parameters that determine the state of plant growth), and finally obtain the growth results under different planting parameters, thereby accumulating planting experience, avoiding the actual planting process due to lack of experience, resulting in planting failure, wasting costs.

In any of the above technical solutions, preferably, the sample parameters of the same attribute are divided into several parameter intervals from good to bad, and the parameter interval includes a picture corresponding to the sample parameters therein.

In the technical solution, the sample parameters belonging to the same attribute are divided into several parameter intervals from the best to the bad, and the parameter interval includes a picture corresponding to the sample parameters therein, thereby ensuring that the planting parameters input by the user can find the corresponding interval. Then, the results of the simulated planting are predicted according to the image analysis in the sample parameter interval.

In any of the above technical solutions, preferably, the growth state of each stage of the selected plant is analyzed and predicted, specifically: comparing the planting parameters of the planting with the sample parameters to find a sample that is consistent or closest to the planting parameter. Parameters; retrieve images in multiple parameter intervals corresponding to planting parameters of different attributes, and combine multiple pictures into output pictures.

In the technical solution, when the user inputs the planting parameter, the planting parameter is compared with the sample parameter of the same attribute, and the sample parameter that is consistent with or closest to the planting parameter input by the user is found in the sample parameter, thereby determining the user input. Which parameter interval the planting parameter belongs to, and the picture of the parameter interval is retrieved for synthesis and output. When the planting parameter input by the user is completely consistent with a certain sample parameter, the image corresponding to the sample parameter is directly output; when the planting parameter input by the user cannot find the completely consistent sample parameter in the database, according to the closest to the planting parameter The pictures in the interval in which the sample parameters are located are synthesized into a predicted growth result picture. The more the parameter interval is set, the more accurate the predicted growth state will be. Because the planting parameters and sample parameters Comparing the numbers, it is possible that there are no sample parameters in the database that are exactly the same as the planting parameters, then the interval of the sample parameters closest to the planting parameters is found, and the slightly better and slightly shorter parameters in the comprehensive interval and their corresponding pictures can also be maximized. The accuracy of the guaranteed prediction avoids the prediction bias caused by the absence of corresponding sample parameters.

In any of the above technical solutions, preferably, the growth result of the current planting is fed back, specifically: displaying the output picture, and displaying the ranking of the planting and the growth suggestion for the planting, and the planting parameters of the planting plant and Output images for storage.

In the technical solution, the growth result of the planting is fed back to the user in the form of a picture, and the displayed picture includes the ranking of the planting and the growth suggestion for the planting, and the user can clearly understand the planting of the planting. The results of the existing data in the database of growth results can also be learned according to the growth suggestions of the feedback, and the planting methods and parameters are adjusted in the subsequent planting, which is the parameters in the actual planting. The control process accumulates more experience. The planting parameters and output pictures of this planting are stored as sample planting parameters and their corresponding pictures, which increases the sample size and enriches the sample space, making the analysis and prediction more and more accurate.

According to another object of the present invention, a system for simulating plant cultivation is provided, comprising: a storage unit for storing sample parameters of a plurality of types of plants according to plant species and a picture showing a state of plant growth corresponding to the sample parameters; a receiving unit, configured to receive the plant species and the planting parameters for determining the growth state of the plant; the analyzing unit is configured to compare the planting parameters with the sample parameters of the same plant planted, and analyze and predict the selected The growth state of each stage of the plant; a feedback unit for feeding back the growth results of the plant.

The simulated plant planting system provided by the invention stores the sample parameters of the plurality of plants and the pictures showing the plant growth state corresponding to the sample parameters according to the plant species; the receiving unit receives the plant species selected by the user and uses the plants. In determining the planting parameters of the plant growth state, the planting parameters are compared with the sample parameters of the same plant planted in the present plant, the analysis unit analyzes and predicts the growth state of the plants at each stage of the planting; the feedback unit feeds back the growth of the planting plant. result. In the process of simulating plant species, a large number of sample parameters and corresponding images are stored in the database, and the plant species selected by the user and the planting parameters from the sowing to plant germination, plant growth, flowering, and various stages of the results are compared with the sample parameters. . In addition, sample parameters and pictures are classified and stored by plant type. In order to quickly pick up the sample resources of the corresponding species for the different types of plants that are simulated. Analyze and predict the planting results of the customers, and feed them back to the customers in the form of pictures. It is clear to the user that there are clear and visual understandings of the different planting results obtained from different planting parameters. It realizes the accumulation of planting experience through simulated planting before the actual planting of the user, effectively avoids planting failure due to lack of experience, wastes cost, and can also experience the fun of personal participation during the planting process.

The above-described simulated plant planting system according to the present invention may also have the following technical features:

In the above technical solution, preferably, the storage unit is further configured to store the planting manners of various stages of the plant, the planting method includes sample parameters and pictures corresponding to the case and the case; and the ranking unit is used after the selected planting mode Ranking the same attribute sample parameters of the case in the planting mode, and ranking the case parameters of the different attributes to obtain the case ranking; the pushing unit is used to push several cases in order from the best to the bad for the user to select .

In the technical solution, the storage unit stores planting methods of various stages of various types of plants, and each planting method is matched with specific planting parameters and pictures as samples, and various types of plants include agricultural plants such as rice, corn, cotton, etc. Including forestry plants such as pine and poplar. Take rice as an example, some planting methods use ultra-thin planting; in some planting methods, rice is planted in the greenhouse; in some planting methods, rice is planted in mountainous areas; some planting methods are suitable for one season rice; some planting The method is suitable for two seasons of rice, and customers can choose the appropriate planting method according to the actual situation of their own region, the type of rice planted, and special requirements. After the user selects the planting mode, the ranking unit ranks the sample parameters according to different attributes in the different planting methods stored in the planting method, and then ranks the sample parameters of the different attributes to obtain the ranking of the case, and the pushing unit according to the favoring unit In the worst order, several cases are pushed for the user to choose. The user can control the planting parameters according to the top cases of the push or the planting parameters of the plant (for example: the plant germination stage, the user needs to control the light, water Temperature, oxygen, fertilization, pesticides, etc. determine the growth parameters of the plant), and finally the growth results under different planting parameters, thereby accumulating planting experience, avoiding the actual planting process due to lack of experience, resulting in planting failure, wasting costs.

In any of the above technical solutions, preferably, the partitioning unit is configured to divide the sample parameter of the same attribute into a plurality of parameter intervals, and the parameter interval further includes the picture corresponding to the sample parameter therein.

In this technical solution, the partition unit divides the sample parameters belonging to the same attribute from good to bad into A number of parameter intervals, the parameter interval includes a picture corresponding to the sample parameters therein, thereby ensuring that the planting parameters input by the user can find the corresponding interval, and then predicting the simulated planting according to the image analysis in the sample parameter interval. result.

In any one of the above technical solutions, preferably, the searching unit is configured to compare the planting parameters of the planting with the sample parameters to find a sample parameter that is consistent with or closest to the planting parameter; and the synthesizing unit is configured to retrieve The pictures in multiple parameter intervals corresponding to the planting parameters of different attributes are combined into multiple pictures into an output picture.

In the technical solution, when the user inputs the planting parameter, the searching unit compares the planting parameter with the sample parameter of the same attribute, and finds the sample parameter in the sample parameter that is consistent with or closest to the planting parameter input by the user, thereby determining Which parameter interval the planting parameter input by the user belongs to, and the synthesizing unit retrieves the image of the parameter interval for synthesis and output. When the planting parameter input by the user is completely consistent with a certain sample parameter, the image corresponding to the sample parameter is directly output; when the planting parameter input by the user cannot find the completely consistent sample parameter in the database, according to the closest to the planting parameter The pictures in the interval in which the sample parameters are located are synthesized into a predicted growth result picture. The more the parameter interval is set, the more accurate the predicted growth state will be. Because the planting parameters are compared with the sample parameters, there may be no sample parameters in the database that are exactly the same as the planting parameters. Then find the interval of the sample parameters closest to the planting parameters, and the parameters in the comprehensive interval and their corresponding parameters. The picture can also guarantee the accuracy of the prediction to the greatest extent and avoid the prediction bias caused by the lack of corresponding sample parameters.

In any of the above technical solutions, preferably, the growth result of the current planting is fed back, specifically: a display unit for displaying an output picture, and displaying the ranking of the planting and the growth suggestion for the planting, this time The planting parameters and output images of the plant are stored in the storage unit.

In the technical solution, the display unit feeds back the growth result of the planting to the user in the form of a picture, and the displayed picture includes the ranking of the planting and the growth suggestion for the planting, and the user can clearly understand the present time. The growth results of the planting are ranked in the existing data in the database. It is also possible to know the planting method that is more reasonable than the current planting parameters according to the feedback growth suggestions, and then adjust the planting methods and parameters in the subsequent planting, in actual planting. The parameter control process accumulates more experience. The planting parameters and output pictures of this planting are stored as sample planting parameters and their corresponding pictures, which increases the sample size and enriches the sample space. Analysis of predictions is becoming more and more accurate.

Additional aspects and advantages of the invention will be apparent from the description of the invention.

DRAWINGS

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from

1 is a schematic flow chart showing a method of simulating plant cultivation according to an embodiment of the present invention;

Figure 2 shows a schematic block diagram of a system for simulating plant cultivation in accordance with one embodiment of the present invention;

3 is a schematic flow chart showing a method of simulating plant cultivation according to another embodiment of the present invention;

Figure 4 shows a schematic block diagram of a system for simulating plant cultivation in accordance with another embodiment of the present invention.

detailed description

The present invention will be further described in detail below with reference to the drawings and specific embodiments. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to facilitate a full understanding of the invention, but the invention may be practiced in other embodiments than described herein. Limitations of the embodiments.

An embodiment of the first aspect of the present invention provides a method of simulating plant cultivation, and FIG. 1 is a flow chart showing a method of simulating plant cultivation according to an embodiment of the present invention:

Step 102: storing, according to the plant species, sample parameters of the plurality of types of plants and a picture showing the state of growth of the plants corresponding to the sample parameters;

Step 104: receiving plant species and planting parameters for determining plant growth state, and analyzing and predicting growth states of the plants at each stage of the planting;

In step 106, the growth result of the planting is fed back.

The method for simulating plant planting provided by the invention stores the sample parameters of various plant types and the pictures showing the state of plant growth corresponding to the sample parameters according to the plant species; receiving the user's selection The plant species planted and the planting parameters used to determine the plant growth state, the planting parameters are compared with the sample parameters of the same plant planted in this plant, and the growth state of the plants at each stage of the planting is analyzed and predicted; The growth results of the secondary planting. In the process of simulating plant species, a large number of sample parameters and corresponding images are stored in the database, and the plant species selected by the user and the planting parameters from the sowing to plant germination, plant growth, flowering, and various stages of the results are compared with the sample parameters. . In addition, the sample parameters and pictures are classified and stored according to the plant species, so that the sample resources of the corresponding species can be quickly retrieved for different types of plants that are simulated and planted. Analyze and predict the planting results of the customers, and feed them back to the customers in the form of pictures. It is clear to the user that there are clear and visual understandings of the different planting results obtained from different planting parameters. It realizes the accumulation of planting experience through simulated planting before the actual planting of the user, effectively avoids planting failure due to lack of experience, wastes cost, and can also experience the fun of personal participation during the planting process.

In an embodiment of the second aspect of the invention, a system 200 for simulating plant cultivation is presented, and Figure 2 shows a schematic block diagram of a simulated planting system 200 of one embodiment of the present invention:

The storage unit 202 stores, according to the plant species, sample parameters of the plurality of types of plants and a picture representing the state of growth of the plant corresponding to the sample parameters;

The receiving unit 204 is configured to receive the plant species and the planting parameters for determining the growth state of the plant;

The analyzing unit 206 is configured to analyze and predict the growth state of each stage of the selected plant;

The feedback unit 208 is configured to feed back the growth result of the current planting.

According to the simulated plant planting system 200 provided by the present invention, the storage unit 202 stores sample parameters of various types of plants and pictures showing plant growth status corresponding to the sample parameters according to the plant species; the receiving unit 204 receives the plants planted by the user selected by the user. The species and the planting parameters for determining the growth state of the plant, the planting parameters are compared with the sample parameters of the plant of the same species planted, and the analysis unit 206 analyzes and predicts the growth state of each plant stage of the planting; feedback unit 208 feedback The growth results of this planting. In the process of simulating plant species, a large number of sample parameters and corresponding images are stored in the database, and the plant species selected by the user and the planting parameters from the sowing to plant germination, plant growth, flowering, and various stages of the results are compared with the sample parameters. . In addition, the sample parameters and pictures are classified and stored according to the plant species, so that the sample resources of the corresponding species can be quickly retrieved for different types of plants that are simulated and planted. Analyze and predict the planting results of the customers, and take the picture Feed to customers. It is clear to the user that there are clear and visual understandings of the different planting results obtained from different planting parameters. It realizes the accumulation of planting experience through simulated planting before the actual planting of the user, effectively avoids planting failure due to lack of experience, wastes cost, and can also experience the fun of personal participation during the planting process.

An embodiment of the third aspect of the present invention provides a method of simulating plant cultivation, and FIG. 3 is a flow chart showing a method of simulating plant cultivation according to another embodiment of the present invention:

Step 302, storing, according to the plant species, sample parameters of the plurality of types of plants and a picture showing the state of growth of the plants corresponding to the sample parameters;

Step 304: storing planting methods of various stages of various types of plants, and the planting methods include sample parameters and pictures corresponding to the case and the case;

Step 306, after selecting the planting mode, ranking the same attribute sample parameters of the case in the planting mode, and ranking the case parameters of the different attributes to obtain the case ranking;

Step 308, pushing several cases in order from the best to the bad for the user to select;

Step 310: The sample parameters of the same attribute are divided into several parameter intervals from good to bad, and the parameter interval includes a picture corresponding to the sample parameters therein;

Step 312, receiving plant species and planting parameters for determining plant growth state;

Step 314, analyzing and predicting the growth state of each stage of the plant planted;

In step 316, the growth result of the planting is fed back.

Which is shown in Figure 3:

In step 314, the planting parameters are compared with the sample parameters of the same plant planted in the current plant, and the growth state of each plant stage is analyzed and predicted, including:

Step 3142, comparing the planting parameters of the planting with the sample parameters, and finding the sample parameters that are consistent with or closest to the planting parameters;

Step 3144: Acquire images in multiple parameter intervals corresponding to planting parameters of different attributes, and synthesize multiple pictures into output pictures.

Step 316, feedback the growth result of the planting, specifically including:

In step 3162, the output image is displayed, and the ranking of the planting and the growth suggestion for the planting are displayed, and the planting parameters and the output image of the planting are stored.

In an embodiment of the present invention, preferably, the planting manners of various stages of the plant are stored, and the planting method includes sample parameters and pictures corresponding to the case and the case; after the planting mode is selected, the planting mode is The same attribute sample parameters of the case are ranked, and the ranking of the sample parameters of different attributes is integrated to obtain the case ranking, and several cases are pushed in order from the best to the bad for the user to select.

In this embodiment, various planting methods of various stages of plants are stored, and each planting mode is matched with specific planting parameters and pictures as a sample, and various types of plants include agricultural plants such as rice, corn, cotton, etc., and also include forestry. Plants such as pines, poplars, etc. Take rice as an example, some planting methods use ultra-thin planting; in some planting methods, rice is planted in the greenhouse; in some planting methods, rice is planted in mountainous areas; some planting methods are suitable for one season rice; some planting The method is suitable for two seasons of rice, and customers can choose the appropriate planting method according to the actual situation of their own region, the type of rice planted, and special requirements. After the user selects the planting method, the sample parameters are ranked according to different attributes for the cases stored in different planting modes, and then the ranking of the sample parameters of different attributes is integrated to obtain the ranking of the case, in order from superior to inferior. , pushing a number of cases for the user to choose, the user can control the planting parameters according to the top of the push or the planting parameters of the plant stage (for example: the plant germination stage, the user needs to control the light, water, temperature, oxygen , fertilization, fight drugs and other parameters that determine the state of plant growth), and finally obtain the growth results under different planting parameters, thereby accumulating planting experience, avoiding the actual planting process due to lack of experience, resulting in planting failure, wasting costs.

In an embodiment of the present invention, preferably, the sample parameters of the same attribute are divided into several parameter intervals from superior to poor, and the parameter interval includes a picture corresponding to the sample parameters therein.

In this embodiment, the sample parameters belonging to the same attribute are divided into several parameter intervals from the best to the bad, and the parameter interval includes a picture corresponding to the sample parameters therein, thereby ensuring that the planting parameters input by the user can find the corresponding interval. Then, the results of the simulated planting are predicted according to the image analysis in the sample parameter interval.

In an embodiment of the present invention, preferably, the growth state of each stage of the selected plant is analyzed and predicted, specifically: comparing the planting parameters of the planting with the sample parameters to find the same or closest to the planting parameters. Sample parameters; retrieve images in multiple parameter intervals corresponding to planting parameters of different attributes, and combine multiple pictures into output pictures.

In this embodiment, when the user inputs the planting parameter, the planting parameter is the same property as the planting parameter. The sample parameters are compared, and the sample parameters corresponding to the planting parameters input by the user are found in the sample parameters, thereby determining which parameter interval the planting parameter input by the user belongs to, and the picture of the parameter interval is retrieved for synthesis and output. . When the planting parameter input by the user is completely consistent with a certain sample parameter, the image corresponding to the sample parameter is directly output; when the planting parameter input by the user cannot find the completely consistent sample parameter in the database, according to the closest to the planting parameter The pictures in the interval in which the sample parameters are located are synthesized into a predicted growth result picture. The more the parameter interval is set, the more accurate the predicted growth state will be. Because the planting parameters are compared with the sample parameters, there may be no sample parameters in the database that are exactly the same as the planting parameters. Then find the interval of the sample parameters closest to the planting parameters, and the parameters in the comprehensive interval and their corresponding parameters. The picture can also guarantee the accuracy of the prediction to the greatest extent and avoid the prediction bias caused by the lack of corresponding sample parameters.

In an embodiment of the present invention, preferably, the growth result of the current planting is fed back, specifically: displaying the output picture, and displaying the ranking of the planting and the growth suggestion for the planting, and the planting parameters of the planting planting And output pictures for storage.

In this embodiment, the growth result of the planting is fed back to the user in the form of a picture, and the displayed picture includes the ranking of the planting and the growth suggestion for the planting, and the user can clearly understand the planting of the planting. The results of the existing data in the database of growth results can also be learned according to the growth suggestions of the feedback, and the planting methods and parameters are adjusted in the subsequent planting, which is the parameters in the actual planting. The control process accumulates more experience. The planting parameters and output pictures of this planting are stored as sample planting parameters and their corresponding pictures, which increases the sample size and enriches the sample space, making the analysis and prediction more and more accurate.

In an embodiment of the fourth aspect of the invention, a system 400 for simulating plant cultivation is provided, and FIG. 4 shows a schematic block diagram of a system 400 for simulating plant cultivation in accordance with another embodiment of the present invention:

The storage unit 402 is configured to store planting methods of various stages of the plant, and the planting method includes sample parameters and pictures corresponding to the case and the case; and is also used for storing planting methods of various stages of the plant, and the planting method includes the case and the The corresponding sample parameters and pictures of the case.

The ranking unit 404 is configured to rank the same attribute sample parameters of the case in the planting mode after the selected planting mode, and rank the case of the sample parameters of the different attributes to obtain the case ranking;

The pushing unit 406 is configured to push several cases in order from the best to the bad for the user to select;

The partitioning unit 408 divides the sample parameter for the same attribute into a plurality of parameter intervals, and the parameter interval further includes the picture corresponding to the sample parameter therein;

The receiving unit 410 is configured to receive the plant species and the planting parameters for determining the growth state of the plant;

The analyzing unit 412 is configured to analyze and predict the growth state of each stage of the selected plant;

The feedback unit 414 is configured to feed back the growth result of the current planting.

Among them, as shown in Figure 4:

The analyzing unit 412 is configured to compare the planting parameters with the sample parameters of the same plant planted in the current plant, analyze and predict the growth state of each stage of the selected plant, and specifically includes:

The searching unit 4122 is configured to compare the planting parameters of the planting with the sample parameters to find a sample parameter that is consistent with or closest to the planting parameter;

The synthesizing unit 4124 is configured to retrieve images in a plurality of parameter intervals corresponding to the planting parameters of different attributes, and synthesize the plurality of pictures into an output picture.

The feedback unit 414 is configured to feed back the growth result of the planting, specifically:

The display unit 4142 is configured to display an output picture, and display the ranking of the planting and the growth proposal for the planting, and store the planting parameters and the output image of the planting to the storage unit.

In an embodiment of the present invention, preferably, the storage unit 402 is further configured to store a planting manner of each stage of a plurality of types of plants, wherein the planting method includes sample parameters and pictures corresponding to the case and the case; and the ranking unit 404 is configured to After the planting mode is selected, the same attribute sample parameters of the case in the planting mode are ranked, and the ranking of the sample parameters of the different attributes is integrated to obtain the case ranking; the pushing unit 406 is used to push several kinds according to the order from superior to inferior. The case is for the user to choose.

In this embodiment, the storage unit 402 stores planting methods of various stages of various types of plants, and each planting method is matched with specific planting parameters and pictures as samples, and various types of plants include agricultural plants such as rice, corn, cotton, and the like. Also included are forestry plants such as pine and poplar. Take rice as an example, some planting methods use ultra-thin planting; in some planting methods, rice is planted in the greenhouse; in some planting methods, rice is planted in mountainous areas; some planting methods are suitable for one season rice; some planting The method is suitable for two seasons of rice, customers can be based on their own region and the type of rice planted, special Ask for the actual situation and choose the appropriate planting method. After the user selects the planting mode, the ranking unit 404 ranks the sample parameters according to different attributes for the cases stored in the different planting modes, and then integrates the ranking of the sample parameters of the different attributes to obtain the ranking of the case, and the pushing unit 406 According to the order from superior to inferior, several cases are pushed for the user to choose. The user can control the planting parameters according to the top cases of the push or the planting parameters of the plant stages (for example: the plant germination stage, the user needs to control the light , water, temperature, oxygen, fertilization, fight drugs and other parameters that determine the state of plant growth), and finally the results of growth under different planting parameters, thereby accumulating planting experience, avoiding the actual planting process due to lack of experience, resulting in planting failure, waste cost.

In an embodiment of the present invention, preferably, the partitioning unit 408 divides the sample parameters for the same attribute from superior to poor into a plurality of parameter intervals, and the parameter interval further includes the picture corresponding to the sample parameters therein.

In this embodiment, the partitioning unit 408 divides the sample parameters belonging to the same attribute from superior to poor into a plurality of parameter intervals, and the parameter interval includes a picture corresponding to the sample parameters therein, thereby ensuring that the planting parameters input by the user can be found. Corresponding intervals, and then based on the image analysis within the sample parameter interval to predict the results of this simulation planting.

In an embodiment of the present invention, preferably, the searching unit 4122 is configured to compare the planting parameters of the current planting with the sample parameters to find a sample parameter that is consistent with or closest to the planting parameter; the synthesizing unit 4124, The images in multiple parameter intervals corresponding to the planting parameters of different attributes are retrieved, and multiple pictures are combined into an output picture.

In this embodiment, when the user inputs the planting parameter, the searching unit 4122 compares the planting parameter with the sample parameter of the same attribute, and finds the sample parameter in the sample parameter that is consistent with or closest to the planting parameter input by the user, thereby It is determined which parameter interval the planting parameter input by the user belongs to, and the synthesizing unit 4124 retrieves the picture of the parameter interval for synthesis and output. When the planting parameter input by the user is completely consistent with a certain sample parameter, the image corresponding to the sample parameter is directly output; when the planting parameter input by the user cannot find the completely consistent sample parameter in the database, according to the closest to the planting parameter The pictures in the interval in which the sample parameters are located are synthesized into a predicted growth result picture. The more the parameter interval is set, the more accurate the predicted growth state will be. Because the planting parameters are compared with the sample parameters, there may be no sample parameters in the database that are exactly the same as the planting parameters. Then find the interval of the sample parameters closest to the planting parameters. The slightly better and slightly shorter parameters and their corresponding pictures can also ensure the accuracy of the prediction to the greatest extent, and avoid the prediction bias caused by the lack of corresponding sample parameters.

In an embodiment of the present invention, preferably, the growth result of the current planting is fed back, specifically: a display unit 4142 for displaying an output picture, and displaying the ranking of the planting and the growth suggestion for the planting, The planting parameters and output images of this planting are stored in the storage unit.

In this embodiment, the display unit 4142 feeds back the growth result of the planting to the user in the form of a picture, and the displayed picture includes the ranking of the planting and the growth suggestion for the planting, and the user can clearly understand the present. The growth results of the secondary planting are ranked in the existing data in the database. It is also possible to understand the planting methods that are more reasonable than the current planting parameters based on the feedback growth recommendations, and then adjust the planting methods and parameters in the subsequent planting for actual planting. The parameter control process in the process has accumulated more experience. The planting parameters and output pictures of this planting are stored as sample planting parameters and their corresponding pictures, which increases the sample size and enriches the sample space, making the analysis and prediction more and more accurate.

In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "specific embodiments" and the like means that the specific features, structures, materials, or characteristics described in connection with the embodiments or examples are included in the present invention. At least one embodiment or example. In the present specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

A method of simulating plant cultivation, characterized in that the method comprises:

Storing sample parameters of various types of plants according to plant species and pictures showing plant growth status corresponding to the sample parameters;

Receiving the plant species and the planting parameters used to determine the plant growth state, and analyzing and predicting the growth state of the plants at each stage of the planting;

Feedback on the growth results of this planting.
The method of simulating plant cultivation according to claim 1, further comprising:

Storing a planting manner of each stage of a plurality of types of plants, wherein the planting method includes the sample parameters corresponding to the case and the picture;

After selecting the planting mode, ranking the sample parameters of the same attribute of the case in the planting mode, and ranking the sample parameters of the different attributes to obtain the ranking of the case, according to the superior to the bad In the order of the push, several kinds of the cases are pushed for the user to select.
The method of simulating plant cultivation according to claim 1 or 2, further comprising:

The sample parameters for the same attribute are divided from optimal to poor into a number of parameter intervals, the picture interval including the picture corresponding to the sample parameters therein.
The method for simulating plant cultivation according to claim 3, characterized in that the growth state of each stage of the selected plant is analyzed and predicted, specifically:

Comparing the planting parameters of the planting with the sample parameters to find the sample parameters that are consistent with or closest to the planting parameters;

And acquiring the pictures in the plurality of parameter intervals corresponding to the planting parameters of different attributes, and synthesizing the plurality of pictures into an output picture.
The method for simulating plant cultivation according to claim 4, wherein the growth result of the current planting is fed back, specifically:

The output picture is displayed, and the ranking of the planting and the growth suggestion for the planting are displayed, and the planting parameters and the output image of the planting are stored.
A system for simulating plant cultivation, characterized in that the system comprises:

a storage unit configured to store sample parameters of a plurality of types of plants according to plant species and a picture representing a state of plant growth corresponding to the sample parameters;

a receiving unit, configured to receive the plant species and the planting parameters for determining the growth state of the plant;

An analysis unit for analyzing and predicting a growth state of each stage of the selected plant;

A feedback unit for feeding back the growth results of the planting.
The system for simulating plant cultivation according to claim 6, further comprising:

The storage unit is further configured to store a planting manner of each stage of a plurality of types of plants, wherein the planting method includes the sample parameter corresponding to the case and the picture;

a ranking unit, configured to rank the sample parameters of the same attribute of the case in the planting mode after selecting the planting mode, and ranking the sample parameters of different attributes to obtain the case Ranking

The pushing unit is configured to push a plurality of the cases in order from the best to the bad for the user to select.
The system for simulating plant cultivation according to claim 6 or 7, further comprising:

And a partitioning unit, configured to divide the sample parameter of the same attribute into a plurality of parameter intervals, wherein the parameter interval further includes the picture corresponding to the sample parameter.
The system for simulating plant cultivation according to claim 8, wherein the analysis unit further comprises:

a searching unit, configured to compare the planting parameter of the planting with the sample parameter, and find the sample parameter that is consistent with or closest to the planting parameter;

And a synthesizing unit, configured to retrieve the pictures in the plurality of the parameter intervals corresponding to the planting parameters of different attributes, and synthesize the plurality of pictures into an output picture.
The system for simulating plant cultivation according to claim 4, wherein the growth result of the current planting is fed back, specifically:

And a display unit, configured to display the output image, and display the ranking of the planting and the growth suggestion for the planting, and store the planting parameter and the output image of the planting to the storage unit.