阅读说明：本技术 智能种植方法、系统及设备 (Intelligent planting method, system and equipment ) 是由 陈龙 黎小辉 罗益峰 于 2021-07-01 设计创作，主要内容包括：本发明公开了智能种植方法、系统及装置,涉及智能种植技术,特别涉及智能种植方法、系统及设备,其中所述智能种植方法包括以下步骤：采集植株信息；将所述植株信息输入植物生长模型；所述植株生长模型根据所述植株信息输出对应的自动种植方案；若达到停止自动种植的条件,则停止自动种植。本发明通过采集植株的信息,结合植株生长状况和生存环境,输出对应的自动种植方案,使植株能够在脱离人工的前提下也能具有针对性地为不同的植株定制不同的自动种植方案,减少水资源和肥料的浪费,同时能够保证使用最有效而最低成本的自动种植方案为不同的植株灌溉,保障了植株的健康状态。(The invention discloses an intelligent planting method, an intelligent planting system and an intelligent planting device, which relate to the intelligent planting technology, in particular to the intelligent planting method, the intelligent planting system and equipment, wherein the intelligent planting method comprises the following steps: collecting plant information; inputting the plant information into a plant growth model; the plant growth model outputs a corresponding automatic planting scheme according to the plant information; and if the condition of stopping automatic planting is reached, stopping automatic planting. According to the invention, by collecting the information of the plants and combining the growth conditions and living environments of the plants, the corresponding automatic planting schemes are output, so that the plants can also customize different automatic planting schemes for different plants in a targeted manner on the premise of separating from manual work, the waste of water resources and fertilizers is reduced, meanwhile, the most effective and lowest-cost automatic planting scheme can be used for irrigating different plants, and the health state of the plants is ensured.)

1. The intelligent planting method is characterized by comprising the following steps:

collecting plant information;

inputting the plant information into a plant growth model;

the plant growth model outputs a corresponding automatic planting scheme according to the plant information;

and if the condition of stopping automatic planting is reached, stopping automatic planting.

2. The intelligent planting method of claim 1, wherein collecting plant information further comprises the steps of:

dividing and numbering the plants according to the areas of the plants;

plant information is collected in real time, and the plant information comprises: plant species, plant growth conditions and plant growth environment data.

3. The intelligent planting method of claim 1, wherein the forming of the plant growth model comprises the steps of:

inputting existing plant data, including: plant species, plant growth condition, plant growth environment, plant watering amount and fertilizing amount;

setting a conventional planting scheme according to the existing plant information;

and outputting the watering amount and the fertilizing amount of the plants according to the plant growth conditions and the plant growth environments of the plant species.

4. The intelligent planting method of claim 3, wherein the plant growth model outputting the corresponding automatic planting scheme according to the plant information further comprises the steps of:

inputting real-time plant information;

and matching a conventional planting scheme in the plant growth model according to the real-time plant information.

5. The intelligent planting system, characterized by performing the intelligent planting method of any one of claims 1 to 4, comprising:

a data identification module: collecting plant information, and identifying the plant type, the plant growth condition and the plant growth environment according to the collected information;

cloud processing module: outputting a corresponding automatic planting instruction according to the plant information;

a data receiving module: receiving an automatic planting instruction output by the cloud processing module, and executing the automatic planting instruction;

a mobile terminal: including identification module, look over module, planting mode selection module, manual control module, wherein:

an identification module: photographing and identifying plant information;

a viewing module: checking plant information and automatic planting history records;

a planting mode selection module: starting or closing an automatic planting mode;

the manual control module: and manually controlling related equipment to irrigate.

6. The intelligent planting system of claim 5, wherein the cloud processing module outputs corresponding automatic planting instructions according to the identified plant type, plant growth conditions and plant growth environment.

7. The intelligent planting system of claim 6, wherein the automated planting instructions comprise: the amount of water and fertilizer applied and the time and frequency of irrigation.

8. The intelligent planting system of claim 5, wherein the identification module uploads a plant image to the cloud processing module by taking a picture.

9. The intelligent planting system of claim 5, wherein the cloud processing module further comprises storing plant information and an automated planting history.

10. Intelligent planting equipment comprising a storage tower, characterized by performing the intelligent planting method of any one of claims 1 to 4, wherein:

the storage tower comprises a first storage area, a second storage area and a conveying pipe, wherein water is stored in the first storage area, fertilizer is stored in the second storage area, and the conveying pipe conveys water and/or fertilizer according to an automatic planting scheme output by the plant growth model.

Technical Field

The invention relates to an intelligent planting technology, in particular to an intelligent planting method, an intelligent planting system and intelligent planting equipment.

Background

Along with the development of society, the government increasingly pays more attention to the construction of greening environment, so that intelligent planting becomes an indispensable technology in the gardening industry.

The existing intelligent irrigation mode generally adopts timing automatic irrigation, the time for starting irrigation and the irrigation time length need to be preset, and when the preset time is reached, a control valve is automatically opened to carry out the fixed time length irrigation. However, the traditional intelligent irrigation mode cannot adjust the irrigation mode and the irrigation duration aiming at the plant characteristics according to the plant characteristics of different types, and cannot adjust the targeted fertilization scheme aiming at different plants.

Disclosure of Invention

Based on the technical problem that the irrigation mode and the irrigation time length cannot be intelligently adjusted according to the plant characteristics in the current intelligent irrigation mode, the following application contents are proposed:

the intelligent planting method comprises the following steps:

collecting plant information;

inputting the plant information into a plant growth model;

the plant growth model outputs a corresponding automatic planting scheme according to the plant information;

and if the condition of stopping automatic planting is reached, stopping automatic planting.

Further, the step of collecting the plant information further comprises the following steps:

dividing and numbering the plants according to the areas of the plants;

plant information is collected in real time, and the plant information comprises: plant species, plant growth conditions and plant growth environment data.

Further, the forming of the plant growth model comprises the following steps:

inputting existing plant data, including: plant species, plant growth condition, plant growth environment, plant watering amount and fertilizing amount;

setting a conventional planting scheme according to the existing plant information;

and outputting the watering amount and the fertilizing amount of the plants according to the plant growth conditions and the plant growth environments of the plant species.

Further, the step of outputting the corresponding automatic planting scheme by the plant growth model according to the plant information further comprises the following steps:

inputting real-time plant information;

and matching a conventional planting scheme in the plant growth model according to the real-time plant information.

The intelligent planting system executes the intelligent planting method and comprises the following steps:

a data identification module: collecting plant information, and identifying the plant type, the plant growth condition and the plant growth environment according to the collected information;

cloud processing module: outputting a corresponding automatic planting instruction according to the plant information;

a data receiving module: receiving an automatic planting instruction output by the cloud processing module, and executing the automatic planting instruction;

a mobile terminal: the device comprises an identification module, a viewing module, a planting mode selection module and a manual control module;

an identification module: photographing and identifying plant information;

a viewing module: checking plant information and automatic planting history records;

a planting mode selection module: starting or closing an automatic planting mode;

the manual control module: and manually controlling related equipment to irrigate.

Further, the cloud processing module outputs a corresponding automatic planting instruction according to the identified plant type, plant growth condition and plant growth environment.

Further, the automatic planting instructions include: the amount of water and fertilizer applied and the time and frequency of irrigation.

Further, the identification module uploads the plant image to the cloud processing module by photographing.

Further, the cloud processing module further stores plant information and irrigation history records.

Intelligent planting equipment comprises a storage tower and executes the intelligent planting method, wherein:

the storage tower comprises a first storage area, a second storage area and a conveying pipe, wherein water is stored in the first storage area, fertilizer is stored in the second storage area, and the conveying pipe conveys water and/or fertilizer according to an automatic planting scheme output by the plant growth model.

According to the intelligent planting method, the intelligent planting system and the intelligent planting equipment, the corresponding automatic planting scheme is output by collecting the information of the plants and combining the growth conditions and living environments of the plants, so that the plants can also customize different automatic planting schemes for different plants in a targeted manner on the premise of separating from manual work, waste of water resources and fertilizers is reduced, the most effective and lowest-cost automatic planting scheme can be used for irrigating different plants, and the health states of the plants are guaranteed.

Drawings

FIG. 1 is a diagram of the steps of the intelligent planting method of the present invention;

FIG. 2 is a detailed step diagram of step S1 according to the present invention;

FIG. 3 is a diagram illustrating steps of constructing a plant growth model in step S2 according to the present invention;

FIG. 4 is a diagram illustrating the detailed steps of step 2 according to the present invention;

FIG. 5 is a schematic structural view of the intelligent planting system of the present invention;

FIG. 6 is a data table of specific watering amounts of plants according to the present invention;

FIG. 7 is a table of data on the amount of fertilizer applied to plants according to the present invention.

Detailed Description

The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

The intelligent planting method, as shown in fig. 1, comprises the following steps:

step S1, collecting plant information;

in this application, through image acquisition, the characteristic of plant is caught to image analysis's mode, and then the kind of discernment plant, still through image acquisition, image analysis's mode discernment plant's growth characteristic, judge whether the plant is malnutrition or whether have the pest etc. in addition, still gather plant all ring edge borders through the sensor, in this application, preferably use temperature sensor to gather the temperature around the plant, with this judge whether the plant needs to water, use the relative humidity in the air humidity sensor collection air, with this humidity of judging in the plant living environment whether suitable, use the humidity in earth humidity transducer collection earth, use illumination intensity sensor to gather illumination intensity in the plant living environment, the data that above-mentioned sensor was gathered is inputed through the integrated processing in the plant growth model.

Further, in a preferred embodiment of the present application, the step S1 of collecting plant information specifically includes the following steps:

step S110, dividing and numbering the plants according to the areas of the plants;

for convenient management, all plants are numbered by region, for example: the planting method comprises the following steps that the planting area is divided into an area a, an area b, an area c, an area d and the like, the area a is numbered for plants according to the geographical position sequence, the numbers are 1, 2, 3, 4 and the like, and when plant information is collected, the collection device collects the area a and the number of the plants at the same time.

Step S120, collecting plant information in real time, wherein the plant information comprises: plant species, plant growth conditions and plant growth environment data.

In the plant watering in-process, gather the relevant information of plant in real time, including the plant kind, plant growth situation and plant growth environmental data, it is in order to have corresponding suitable water and fertilizer for the plant irrigation to gather the plant kind, it includes the height of plant, the crown width of the arm, the pole footpath etc. to gather the plant growth situation, synthesize the different planting scheme of growth situation matching of plant, compare lowly with conventional plant if the plant height, then judge that there is the malnutrition condition in the plant, other plant characteristics are the same judgement principle, here is no longer described repeatedly.

Step S2, inputting the plant information into a plant growth model;

the plant growth model is formed according to historical planting data, the historical planting data are preferably acquired in the application, the historical planting data comprise plant type pictures, the preset watering amount and watering times under the plant temperature and humidity environment, in addition, judgment conditions are further set in the model, and when the plant temperature and humidity reach a preset range, parameter instructions such as the watering amount and the fertilizing amount of the plant are output.

Further, in a preferred embodiment of the present application, the forming of the plant growth model in the step S2 includes the following steps:

step S201, inputting the existing plant data, including: plant species, plant growth condition, plant growth environment, plant watering amount and fertilizing amount;

when the plant growth model is built, relevant data such as plant types in the existing data are uploaded to the model, in the embodiment of the application, the data comprise the data of the plant types, the plant growth conditions, the plant growth environments, the watering quantity and the fertilizing quantity, the growth curve of the plant can also comprise the growth curve of the plant, the curve comprises the watering quantity and the fertilizing quantity of the plant, the watering quantity, the fertilizing time point, the frequency, the fertilizing time length and the like in each region and under the environment where the corresponding plant is located, and the plant growth model supports the fact that the relevant data are input in advance.

The plant growth model is configured with watering curves and fertilizing curves corresponding to plants according to different types of plants, sizes of plant rhizomes and different seasons, the format of the curves is JSON format, and the following examples can be referred to in practical application:

if the plant type is anthurium andraeanum, the month is 1 month, if the diameter of the crown width is 10 cm, 100 ml of water is watered, if the diameter of the crown width is 20 cm, 200 ml of water is watered, if the diameter of the crown width is 30 cm, 300 ml of water is watered, and the watering interval period is 15 days; the month is 2 months, and the watering mode is adopted; the month is 3 months, if the diameter of the crown width is 10 cm, 200 ml of water is watered, if the diameter of the crown width is 20 cm, 300 ml of water is watered, if the diameter of the crown width is 30 cm, 400 ml of water is watered, the watering interval period is 10 days, specifically, as shown in fig. 6, wherein the 3-month watering interval period is 10 days, the 4-month watering interval period is 8 days, the 5-month watering interval period is 7 days, the 6-month watering interval period is 5 days, and the 7-month watering interval period is 4 days.

The fertilization amount is divided according to the seasons, and the specific fertilization amount is shown in fig. 7, wherein the fertilization interval period in spring is 15 days, the fertilization interval period in summer is 30 days, the fertilization interval period in autumn is 45 days, and the fertilization interval period in winter is 30 days.

Step S202, setting a conventional planting scheme according to the existing plant information;

before using, the plant growth model can learn to have corresponding planting scheme to the plant output of different situation according to historical plant information, in this application embodiment, if plant soil humidity reaches predetermined scope, then trigger the model and export the plant instruction of watering, if detect plant height or rod footpath etc. and be less than normal plant, then formulate corresponding fertilization scheme, including fertilization time point, fertilization frequency, fertilization time period etc..

And S203, outputting the watering amount and the fertilizing amount of the plants according to the plant growth conditions and the plant growth environments of the plant types.

After the vegetation model is built, gather plant relevant information during the use, if plant relevant information reaches the predetermined scope of vegetation model, then output concrete planting scheme, for example: dividing the humidity of the soil into a drought area and a saturation line, outputting a watering instruction by the plant growth model when the humidity in the soil reaches a drought area curve, and setting the watering time and the watering amount according to the drought degree of the soil. Other characteristics can also refer to the above scheme, and are not described herein again.

Further, in a preferred embodiment of the present application, the step S2 specifically further includes the following steps:

step S210, inputting real-time plant information;

in the using process, plant information is collected in real time, the collected plant information is input into a plant growth model, and the plant growth model judges and outputs a targeted planting scheme according to the input real-time plant information.

And S211, matching a conventional planting scheme in the plant growth model according to the real-time plant information.

In step S202 and step S203, the plant growth model generates a predetermined planting plan according to the historical plant data, and after the real-time information of the plant is collected, the plant growth model determines whether the plant growth model matches the existing conventional planting plan according to the collected plant information, and if the plant growth model matches the existing conventional planting plan, watering and/or fertilizing are performed according to the matched conventional planting plan.

S3, the plant growth model outputs a corresponding automatic planting scheme according to the plant information;

setting a conventional planting scheme according to the prior art and experience, triggering and outputting the planting scheme if the automatic planting condition is achieved, and outputting the watering amount and/or the fertilizing amount of the plants according to the conventional planting scheme. The step not only refers to the watering amount and the fertilizing amount, but also comprises watering duration, frequency, fertilizing duration, frequency and the like.

And step S4, stopping automatic planting if the condition for stopping automatic planting is reached.

In the embodiment of the application, the condition for stopping automatic planting can be that watering or fertilizing reaches a saturation set value, or the automatic planting mode is stopped manually by a user.

The intelligent planting system, which executes the intelligent planting method, as shown in fig. 5, includes:

the data identification module 100: collecting plant information, and identifying the plant type, the plant growth condition and the plant growth environment according to the collected information;

cloud processing module 200: outputting a corresponding automatic planting instruction according to the plant information;

the data receiving module 300: receiving an automatic planting instruction output by the cloud processing module, and executing the automatic planting instruction;

the mobile terminal 400: the device comprises an identification module, a viewing module, a planting mode selection module and a manual control module;

an identification module: photographing and identifying plant information;

a viewing module: checking plant information and automatic planting history records;

a planting mode selection module: starting or closing an automatic planting mode;

the manual control module: and manually controlling related equipment to irrigate.

The data identification module 100 collects plant information and sends the collected plant information to the cloud processing module, the cloud processing module judges whether plants need watering and/or watering according to the input plant information, and outputs instructions related to plant planting, such as watering amount, fertilizing frequency and the like according to the plant information matched with corresponding automatic planting instructions, and then the cloud processing module sends the instructions to the data receiving module, and the data receiving module executes the received instructions and controls related equipment to water and/or fertilize.

The mobile terminal is a more preferable embodiment, the mobile terminal utilizes a camera and the like to photograph and identify plant information, the plant information and historical records under an automatic planting mode, including watering frequency, watering time, watering amount and the like, are checked through a checking module, and the checking module can also check the health condition of plants through the data identification module;

the planting mode selection module of the mobile terminal can provide two choices of an automatic planting mode and a manual planting mode, when a user selects the automatic planting mode, the execution steps of the intelligent planting method are started, the detailed description is omitted, and when the user selects the manual planting mode, the user can manually pour water and/or fertilize according to the requirements;

when the user closes the automatic planting mode, the manual control module is triggered, and the manual control module can be used for the user to manually water or fertilize according to the requirement.

Further, in a preferred embodiment of the present application, the cloud processing module outputs a corresponding automatic planting instruction according to the identified plant type, plant growth condition and plant growth environment.

Further, in a preferred embodiment of the present application, the automatic planting instruction comprises: the amount of water and fertilizer applied and the time and frequency of irrigation.

Further, the identification module uploads the plant image to the cloud processing module by photographing.

Further, the cloud processing module further stores plant information and irrigation history records.

Intelligent planting equipment comprises a storage tower and executes the intelligent planting method, wherein:

the storage tower comprises a first storage area, a second storage area and a conveying pipe, wherein water is stored in the first storage area, fertilizer is stored in the second storage area, and the conveying pipe conveys water and/or fertilizer according to an automatic planting scheme output by the plant growth model.

The water storage tower is divided into a water storage area and a fertilizer storage area, the fertilizer storage area comprises areas such as nitrogen, phosphorus, potassium and organic fertilizers, the intelligent planting equipment can freely select proper fertilizers according to requirements, in addition, the intelligent planting equipment further comprises a water pump, a water pump controller and a fertilizer outlet controller, the water pump is used for increasing water pressure and improving watering efficiency, and the water pump controller can be used for controlling the water pump so as to control the water pressure and reduce waste of water resources; the fertilizer discharging controller can be used for controlling the discharging type of the fertilizer and the discharging amount of the fertilizer, so that the waste is reduced.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.