CN108154267A - The fertilizer parameter regulation means and device of a kind of fertilizer applicator - Google Patents

The fertilizer parameter regulation means and device of a kind of fertilizer applicator Download PDF

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CN108154267A
CN108154267A CN201711422522.0A CN201711422522A CN108154267A CN 108154267 A CN108154267 A CN 108154267A CN 201711422522 A CN201711422522 A CN 201711422522A CN 108154267 A CN108154267 A CN 108154267A
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fertilizer
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卢吉
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Shenzhen Chunmuyuan Holdings Co Ltd
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Abstract

The invention discloses a kind of fertilizer parameter regulation means of fertilizer applicator, including:Obtain the detection data of plant;Detection data is inputted into fertilizer prediction model, detection data is predicted by fertilizer prediction model, obtains prediction result;Fertilizer parameter adjustment instruction is generated according to prediction result, to be adjusted by fertilizer parameter adjustment instruction to the dose of fertilizer applicator;It can be seen that, in this programme, after fertilizer applicator applies fertilizer to plant, by obtaining the detection data of plant, the parameter value of every fertilizing constant of plant growth environment can be obtained in time, if there are the undesirable fertilizing constants of parameter value, then generate adjust instruction corresponding with the fertilizing constant, and corresponding fertilizer applicator is sent to, so that fertilizer applicator adjusts dose corresponding with the fertilizing constant, it is achieved thereby that the adjustment to fertilizer applicator dose automatically;The invention also discloses fertilizer parameter adjustment controls, equipment and the computer readable storage mediums of a kind of fertilizer applicator, equally can realize above-mentioned technique effect.

Description

The fertilizer parameter regulation means and device of a kind of fertilizer applicator
Technical field
The present invention relates to parameter adjustment technical field, more specifically to a kind of fertilizer parameter adjustment side of fertilizer applicator Method, device, equipment and computer readable storage medium.
Background technology
It is an important cargo handling operation in staple crops production process using chemical fertilizer, directly affects the production of crops Amount.At present, main fertilising means when applying fertilizer to the plant in greenhouse are:Plant is applied by fertilizer applicator Fertilizer.Existing fertilizer applicator is Semi-automatic fertilizing machine, and after user sets dose, fertilizer applicator can be applied according to the dose of setting Fertilizer.But after applying fertilizer to crops, there is no be detected the fertilizing constant of each plant, that is to say, that due to not The variation of every fertilizing constant after clear fertilising, can lead to problems such as to apply fertilizer excessive or very few.And, if it is desired to fertilising The dose of machine is adjusted, then manpower is needed to be adjusted every fertilizer applicator, is wasted a large amount of manpower and materials, be will also result in life The delay of production and the loss of yield.
Therefore, how to solve the above problems, be that those skilled in the art need to solve.
Invention content
Fertilizer parameter regulation means, device, equipment and computer the purpose of the present invention is to provide a kind of fertilizer applicator can Storage medium is read, to realize the fertilizing constant situation of change after understanding plant fertilising, and according to situation of change automatically to fertilizer applicator Dose be adjusted.
To achieve the above object, an embodiment of the present invention provides following technical solutions:
A kind of fertilizer parameter regulation means of fertilizer applicator, including:
Obtain the detection data of plant;
The detection data is inputted into fertilizer prediction model, the detection data is carried out by the fertilizer prediction model Prediction, obtains prediction result;Wherein, the fertilizer prediction model is established by learning fertilizer basic data;
Fertilizer parameter adjustment instruction is generated according to the prediction result, to be instructed by the fertilizer parameter adjustment to fertilising The dose of machine is adjusted.
Wherein, it is described that the detection data is inputted into fertilizer prediction model, by the fertilizer prediction model to the inspection Measured data is predicted, obtains prediction result, including:
By the corresponding parameter value of each fertilizer parameter in the detection data, in the prediction model with each fertilizer The corresponding underlying parameter value of material parameter is compared, and the parameter value of each fertilizer parameter and the comparing result of underlying parameter value are made For prediction result.
Wherein, it is described that fertilizer parameter adjustment instruction is generated according to the prediction result, to pass through the fertilizer parameter adjustment Instruction is adjusted the dose of fertilizer applicator, including:
Comparing result is exceeded into the underlying parameter of predetermined estimation range as parameter to be adjusted;
The fertilizer parameter adjustment of the parameter to be adjusted is instructed according to the generation of the comparing result of the parameter to be adjusted, with The dose of fertilizer applicator is adjusted by fertilizer parameter adjustment instruction.
Wherein, this programme further includes:
Using the prediction result of Spark MLlib machine learning algorithms and predetermined period, to the fertilizer prediction model Underlying parameter value optimizes adjustment.
A kind of fertilizer parameter adjustment controls of fertilizer applicator, including:
Detection data acquisition module, for obtaining the detection data of plant;
Prediction module, for the detection data to be inputted fertilizer prediction model, by the fertilizer prediction model to institute It states detection data to be predicted, obtains prediction result;Wherein, the fertilizer prediction model is by learning fertilizer basic data institute It establishes;
Parameter adjustment module, for generating fertilizer parameter adjustment instruction according to the prediction result, to pass through the fertilizer Parameter adjustment instruction is adjusted the dose of fertilizer applicator.
Wherein, the prediction module is specifically used for:By the corresponding parameter value of each fertilizer parameter in the detection data, It is compared with underlying parameter value corresponding with each fertilizer parameter in the prediction model, by the parameter of each fertilizer parameter The comparing result of value and underlying parameter value is as prediction result.
Wherein, the parameter adjustment module, including:
Parameter determination unit to be adjusted, for comparing result to be exceeded to the underlying parameter of predetermined estimation range as to be adjusted Parameter;
Birthdate module is instructed, for the fertilizer according to the generation of the comparing result of the parameter to be adjusted to the parameter to be adjusted Parameter adjustment instruction is expected, to be adjusted by fertilizer parameter adjustment instruction to the dose of fertilizer applicator.
Wherein, this programme further includes:
Underlying parameter optimization module, for utilizing the prediction result of Spark MLlib machine learning algorithms and predetermined period, Adjustment is optimized to the underlying parameter value of the fertilizer prediction model.
A kind of fertilizer parameter adjustment device of fertilizer applicator, including:
Memory, for storing computer program;
The step of processor, for performing computer program when, realize above-mentioned fertilizer parameter regulation means.
A kind of computer readable storage medium is stored with computer program on the computer readable storage medium, described The step of above-mentioned fertilizer parameter regulation means are realized when computer program is executed by processor.
By above scheme it is found that a kind of fertilizer parameter regulation means of fertilizer applicator provided in an embodiment of the present invention, including: Obtain the detection data of plant;The detection data is inputted into fertilizer prediction model, by the fertilizer prediction model to described Detection data is predicted, obtains prediction result;Wherein, the fertilizer prediction model is is built by learning fertilizer basic data Vertical;Fertilizer parameter adjustment instruction is generated according to the prediction result, to be instructed by the fertilizer parameter adjustment to fertilizer applicator Dose be adjusted;
As it can be seen that in the present solution, the data model obtained using historical data study so that fertilizer applicator applies fertilizer to plant Afterwards, can be by the parameter value for the detection data, in time every fertilizing constant of acquisition plant growth environment for obtaining plant, and make Go out corresponding prediction, the output result precision higher obtained by this way, and more meet reality.Because different environment Under, plant is also discrepant for the demand of fertilizer, needs adaptation to local conditions, and learns the model of acquisition by historical data, It can to plant more precision.If there are the undesirable fertilizing constant of parameter value, generation and the fertilizing constant Corresponding adjust instruction, and corresponding fertilizer applicator is sent to, so that fertilizer applicator adjusts dose corresponding with the fertilizing constant, it is real Showed to the automating of fertilizer applicator dose, in real time, continuous adjustment;The invention also discloses a kind of fertilizer parameters of fertilizer applicator Adjusting apparatus, equipment and computer readable storage medium equally can realize above-mentioned technique effect.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of fertilizer parameter regulation means flow diagram of fertilizer applicator disclosed by the embodiments of the present invention;
Fig. 2 is a kind of fertilizer parameter adjustment controls structure diagram of fertilizer applicator disclosed by the embodiments of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts Embodiment shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a kind of fertilizer parameter regulation means of fertilizer applicator, device, equipment and computer-readable Storage medium, to realize the fertilizing constant situation of change after understanding plant fertilising, and according to situation of change automatically to fertilizer applicator Dose is adjusted.
Referring to Fig. 1, a kind of fertilizer parameter regulation means of fertilizer applicator provided in an embodiment of the present invention, including:
S101, the detection data for obtaining plant;
Specifically, the detection data in the present embodiment can specifically be obtained by being arranged on the internet of things sensors of planting area The data taken, and the data center of Cloud Server is uploaded to by gateway change data in real time, it stores to Fertilizer application database, The content of data includes the nutritional ingredient added when fertilizer applicator applies fertilizer to plant, which is in the present embodiment fertilising ginseng Number, the fertilizing constant can specifically include:Nitrogen parameter, phosphorus parameter, PH parameters etc. be not specific in this programme to limit.
It should be noted that the period that this programme obtains the detection data of plant can be preset according to administrative staff Detected rule is detected, which can be setting detection time interval, such as:It was detected with 2 hours for interval, The daily set time is detected;The detected rule can be determined according to fertilization time, such as:4 after fertilising are small When be detected;It is of course also possible to both detected rules are merged, as long as meeting one kind of the two detected rules, The detection data of plant can be obtained;And then if administrative staff want to check the detection data of current plant, it can also pass through The mode of input detection instruction obtains the detection data of plant in real time.
S102, the detection data is inputted into fertilizer prediction model, by the fertilizer prediction model to the testing number According to being predicted, prediction result is obtained;Wherein, the fertilizer prediction model is established by learning fertilizer basic data;
Specifically, in the present embodiment during implementation, it is necessary first to obtain Fertilizer application basic data, i.e. this programme In fertilizer historical basis data, and fertilizer basic data is loaded into base fertilizer data center, deposited by input system, system Enter database;Further, this programme using SparkMLlib using machine learning carry out logistic regression by the way of to the fertilizer base Plinth data are learnt, and initial fertilizer prediction model are established by study, by the initial fertilizer prediction model to known number According to being predicted, error analysis is done to prediction result, if the error of prediction result is in tolerable range, preservation model, life The final used fertilizer prediction model of cost approach.
It should be noted that in the present solution, being existing to the given data that initial fertilizer prediction model is predicted Data set, the existing data set are specially the parameter value of each fertilizer parameter of plant under normal circumstances, are both appreciated that For standard parameter value, initial fertilizer prediction model is predicted by the standard parameter value, that is, calculates initial fertilizer prediction mould The error of initial basis parameter value and standard parameter value in type judges the error whether in tolerable preset range, such as Fruit exists, then illustrates that the initial fertilizer prediction model meets forecast demand, then initial fertilizer prediction model is determined as last fertilizer Expect prediction model, the detection data of acquisition is predicted by the fertilizer prediction model;If it was not then illustrate the initial fertilizer Material prediction model is unsatisfactory for demand, then initial basis parameter value is modified according to standard parameter value, and continue through existing Data set in other data predicted, until meet demand.
Wherein, it is described that the detection data is inputted into fertilizer prediction model, by the fertilizer prediction model to the inspection Measured data is predicted, obtains prediction result, including:
By the corresponding parameter value of each fertilizer parameter in the detection data, in the prediction model with each fertilizer The corresponding underlying parameter value of material parameter is compared, and the parameter value of each fertilizer parameter and the comparing result of underlying parameter value are made For prediction result.
It is understood that after determining final fertilizer prediction model, the fertilizer prediction model can be used to real-time The detection data of acquisition is predicted;Include parameter value corresponding with each fertilizer parameter, the parameter value in the detection data Can be the parameter value under different situations, such as:If fertilizer parameter is the nitrogen parameter of tomato, the parameter value of nitrogen parameter can wrap It includes every 100KG days usage amount, sympathizing with per 100KG month usage amounts, per information, each fertilizer parameters such as 100KG usage amounts Parameter value under condition can be determined when being trained to model, can also by subsequently model is learnt again into Row addition, it is not specific herein to limit.
Further, after the parameter value of fertilizer parameter for determining detection data, fertilizer prediction model is will pass through to the parameter value It is predicted, that is, by comparing the parameter value of fertilizer parameter and the error of the underlying parameter value in fertilizer prediction model, if Error differs predetermined threshold, then illustrates that the content of the fertilizer parameter of the planting area is not inconsistent and requires, if error does not differ predetermined Threshold value then illustrates that the fertilizer parameter content of the planting area meets the requirements;According to the prediction result that comparing result generates, with to not The corresponding fertilizer applicator of the fertilizer parameter that meets the requirements is regulated and controled;The predetermined threshold could be provided as 10%, may be set to be it His numerical value, it is not specific herein to limit.
S103, fertilizer parameter adjustment instruction is generated according to the prediction result, to be instructed by the fertilizer parameter adjustment The dose of fertilizer applicator is adjusted.
Wherein, it is described that fertilizer parameter adjustment instruction is generated according to the prediction result, to pass through the fertilizer parameter adjustment Instruction is adjusted the dose of fertilizer applicator, including:
Comparing result is exceeded into the underlying parameter of predetermined estimation range as parameter to be adjusted;
The fertilizer parameter adjustment of the parameter to be adjusted is instructed according to the generation of the comparing result of the parameter to be adjusted, with The dose of fertilizer applicator is adjusted by fertilizer parameter adjustment instruction.
Specifically, according to the prediction result that comparing result generates, including two kinds of situations, one kind meets the requirements, and one kind is not inconsistent Close requirement;If meeting the requirements, do not need to be adjusted fertilizer applicator, at this moment can record prediction daily record, in the prediction daily record Including:The data such as detection time, information, detection data, the prediction result for detecting plant, the information of detection plant here are specific Including being detected measuring plants location, the type information of measuring plants is detected, is detected the mark letter of the fertilizer applicator corresponding to measuring plants Breath etc., it should be noted that the detection time, information, the detection data of detection plant may each be when obtaining detection data It obtains together, subsequently to control fertilizer applicator.
If undesirable, equally it is divided into two kinds of situations, a kind of is that the parameter value in detection data is predicted more than fertilizer The underlying parameter value of model, another kind are that underlying parameter value in fertilizer prediction model is more than parameter value in detection data;Before A kind of situation generates fertilizer parameter adjustment instruction and is generated to reduce dose of the fertilizer applicator to predetermined fertilizer, latter situation Fertilizer parameter adjustment instruction to increase fertilizer applicator to the dose of predetermined fertilizer.
It should be noted that regardless of situation, it is all identical that fertilizer parameter adjustment, which instructs included information,;Tool For body, the fertilizer parameter adjustment instruction includes fertilizer type to be adjusted, the fertilizer type be by parameter to be adjusted into What row determined, the difference of parameter to be adjusted, corresponding fertilization type is possible to different;If corresponding to same fertilization type Multiple fertilizing constants, then when being adjusted to the fertilization type, need consider it is corresponding with the fertilization type go out parameter to be adjusted Other fertilizer parameters parameter value, to prevent influencing other fertilizer parameter values to a kind of adjustment of fertilizer parameter;
Fertilizer parameter adjustment instruction further includes the degree information adjusted to fertilization type, if more beyond predetermined value, The degree information of adjustment is bigger, conversely, smaller, so as to be exceeded according to vegetable fertilizer parameter or less than underlying parameter value Degree regulates and controls fertilizer applicator;Specific adjustment of the adjust instruction to dose, can be according to unit dose and fertilizer parameter Correspondence between value is determined.
The fertilizing constant adjust instruction further includes the information of the fertilizer applicator of adjustment dose, and the information of the fertilizer applicator needs root According to tested measuring plants location, the type information of measuring plants is detected, is detected the identification information of the fertilizer applicator corresponding to measuring plants Etc. information be determined, such as:The detection data of acquisition is the detection data of tomato in greenhouse 1, then adjusts the fertilising of dose Machine be just to the fertilizer applicator that tomato is applied fertilizer in greenhouse 1, in the present solution, be only described by taking above- mentioned information as an example, but It is not limited to above- mentioned information.
If it is understood that undesirable, this programme can equally record prediction daily record, be wrapped in the prediction daily record It includes:Detection time, the information for detecting plant, detection data, prediction result, fertilizer parameter adjustment instruct the number such as included information According to.Also, the parameter value in detection data is detected is undesirable, at this moment may determine that detection data parameter value beyond/ Less than the underlying parameter value in fertilizer prediction model, then judge whether the value exceeded is more than predetermined threshold, if so, to administrator Information warning is sent out, to remind administrator.
In summary it can be seen, in the present solution, fertilizer applicator to plant apply fertilizer after, can by obtaining the detection data of plant To obtain the parameter value of every fertilizing constant of plant growth environment in time, if there are the undesirable fertilising ginsengs of parameter value Number then generates adjust instruction corresponding with the fertilizing constant, and is sent to corresponding fertilizer applicator, so that fertilizer applicator adjustment is applied with this The corresponding dose of fertile parameter, it is achieved thereby that the adjustment to fertilizer applicator dose automatically.
Based on above-described embodiment, further included in this programme:
Using the prediction result of Spark MLlib machine learning algorithms and predetermined period, to the fertilizer prediction model Underlying parameter value optimizes adjustment.
Specifically, for the underlying parameter in fertilizer prediction model, adjustment can be optimized according to prediction result, but It is the accuracy in order to improve optimization, a predetermined period is set in this programme, which is the adjustment period, by right Prediction result in the adjustment period is learnt, to optimize adjustment to the underlying parameter in fertilizer prediction model.
It is understood that in addition to the above-mentioned adjustment to underlying parameter, it in the present embodiment, can also be by history number According to analysis be adjusted;Such as:The historical data of certain planting area the whole of last year is obtained, which can embody plant The type of object, plant pass through the analysis to the historical data, it can be deduced that in difference in the fertilizer parameter value of each different phase Stage is higher using the yield of the plant of what fertilizer parameter value, and growing state is preferable, and then by the fertilizer parameter value to fertilizer Basic data in material prediction model is optimized and is adjusted, and the process of this optimization tuning, can not only pass through management certainly Personnel carry out analysis execution, can also be performed by network analysis;Likewise, on the basis of this process, it can be according to pipe The experience of reason personnel is finely adjusted fertilizer prediction model, does not have to specific limit herein.
This programme is specifically described below by distance;It is plant tomato provided in this embodiment not referring to table 1 The design parameter value of different fertilizer parameter in the case of;Specifically, fertilizer parameter is EC, PH, nitrogen, and EC is every for fertilizer parameter Parameter value under the conditions of 100KG days usage amount L is 51 ... ....
Table 1
Data in table 1 are the fertilizer basic data in this programme, and specific data set is as follows
Tomato=1, cucumber=2 ... XXXX;
Fertilizer EC=1, fertilizer PH=2, nitrogen=3;
Tomato EC was per 100KG days usage amount L 1:1:51
Tomato EC is per 100KG month usage amounts L 1:1:159
Tomato EC is per 100KG usage amounts L 1:1:253
Tomato PH was per 100KG days usage amount L 1:2:124
Tomato PH is per 100KG month usage amounts L 1:2:253
Tomato PH is per 100KG usage amounts L 1:2:255
Tomato nitrogen was per 100KG days usage amount L 1:3:66
Tomato nitrogen is per 100KG month usage amounts L 1:3:78
Tomato nitrogen is per 100KG usage amounts L 1:3:126;
Establish the initial fertilizer prediction model of fertilizer by above-mentioned data, by the initial fertilizer prediction model to given data into Row prediction, after error meets condition, comes into operation.And then the detection data of growing area is obtained, input fertilizer prediction model obtains Prediction result, comparison of the prediction result for predicted value and actual value, specifically, predicted value are generated from growing area is practical Value, actual value are the underlying parameter in fertilizer prediction model, which is the standard value by constantly correcting.
Fertilizer parameter adjustment controls provided in an embodiment of the present invention are introduced below, fertilizer parameter tune described below Engagement positions can be cross-referenced with above-described fertilizer parameter regulation means.
Referring to Fig. 2, a kind of fertilizer parameter adjustment controls of fertilizer applicator provided in an embodiment of the present invention, including:
Detection data acquisition module 100, for obtaining the detection data of plant;
Prediction module 200 for the detection data to be inputted fertilizer prediction model, passes through the fertilizer prediction model pair The detection data is predicted, obtains prediction result;Wherein, the fertilizer prediction model is by learning fertilizer basic data It is established;
Parameter adjustment module 300, for generating fertilizer parameter adjustment instruction according to the prediction result, to pass through the fertilizer Material parameter adjustment instruction is adjusted the dose of fertilizer applicator.
Wherein, the prediction module is specifically used for:By the corresponding parameter value of each fertilizer parameter in the detection data, It is compared with underlying parameter value corresponding with each fertilizer parameter in the prediction model, by the parameter of each fertilizer parameter The comparing result of value and underlying parameter value is as prediction result.
Wherein, the parameter adjustment module, including:
Parameter determination unit to be adjusted, for comparing result to be exceeded to the underlying parameter of predetermined estimation range as to be adjusted Parameter;
Birthdate module is instructed, for the fertilizer according to the generation of the comparing result of the parameter to be adjusted to the parameter to be adjusted Parameter adjustment instruction is expected, to be adjusted by fertilizer parameter adjustment instruction to the dose of fertilizer applicator.
Wherein, this programme further includes:
Underlying parameter optimization module, for utilizing the prediction result of SparkMLlib machine learning algorithms and predetermined period, Adjustment is optimized to the underlying parameter value of the fertilizer prediction model.
The embodiment of the present invention also provides a kind of fertilizer parameter adjustment device of fertilizer applicator, including:Memory, based on storing Calculation machine program;The step of processor, for performing computer program when, realize above-mentioned fertilizer parameter regulation means.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored on the computer readable storage medium There is the step of computer program, the computer program realizes above-mentioned fertilizer parameter regulation means when being executed by processor.
Specifically, the storage medium can include:USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. are various can store program The medium of code.
To sum up, the fertilizer parameter regulation means of a kind of fertilizer applicator provided in an embodiment of the present invention, including:Obtain plant Detection data;The detection data is inputted into fertilizer prediction model, by the fertilizer prediction model to the detection data It is predicted, obtains prediction result;Wherein, the fertilizer prediction model is established by learning fertilizer basic data;Root According to prediction result generation fertilizer parameter adjustment instruction, with the dose by fertilizer parameter adjustment instruction to fertilizer applicator It is adjusted;
As it can be seen that in the present solution, fertilizer applicator to plant apply fertilizer after, by obtaining the detection data of plant, can obtain in time The parameter value of every fertilizing constant of plant growth environment is obtained, if there are the undesirable fertilizing constant of parameter value, is generated Adjust instruction corresponding with the fertilizing constant, and corresponding fertilizer applicator is sent to, so that fertilizer applicator adjustment and the fertilizing constant pair The dose answered, it is achieved thereby that the adjustment to fertilizer applicator dose automatically;The invention also discloses a kind of fertilizer of fertilizer applicator Parameter adjustment controls, equipment and computer readable storage medium equally can realize above-mentioned technique effect.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with other The difference of embodiment, just to refer each other for identical similar portion between each embodiment.
The foregoing description of the disclosed embodiments enables professional and technical personnel in the field to realize or use the present invention. A variety of modifications of these embodiments will be apparent for those skilled in the art, it is as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention The embodiments shown herein is not intended to be limited to, and is to fit to and the principles and novel features disclosed herein phase one The most wide range caused.

Claims (10)

1. a kind of fertilizer parameter regulation means of fertilizer applicator, which is characterized in that including:
Obtain the detection data of plant;
The detection data is inputted into fertilizer prediction model, the detection data is carried out by the fertilizer prediction model pre- It surveys, obtains prediction result;Wherein, the fertilizer prediction model is established by learning fertilizer basic data;
Fertilizer parameter adjustment instruction is generated according to the prediction result, to be instructed by the fertilizer parameter adjustment to fertilizer applicator Dose is adjusted.
2. fertilizer parameter regulation means according to claim 1, which is characterized in that described that the detection data is inputted into fertilizer Expect prediction model, the detection data is predicted by the fertilizer prediction model, obtains prediction result, including:
By the corresponding parameter value of each fertilizer parameter in the detection data, with joining in the prediction model with each fertilizer The corresponding underlying parameter value of number is compared, using the parameter value of each fertilizer parameter and the comparing result of underlying parameter value as pre- Survey result.
3. fertilizer parameter regulation means according to claim 2, which is characterized in that described to be generated according to the prediction result Fertilizer parameter adjustment instructs, to be adjusted by fertilizer parameter adjustment instruction to the dose of fertilizer applicator, including:
Comparing result is exceeded into the underlying parameter of predetermined estimation range as parameter to be adjusted;
The fertilizer parameter adjustment of the parameter to be adjusted is instructed according to the generation of the comparing result of the parameter to be adjusted, to pass through The fertilizer parameter adjustment instruction is adjusted the dose of fertilizer applicator.
4. the fertilizer parameter regulation means according to Claims 2 or 3, which is characterized in that further include:
Using the prediction result of SparkMLlib machine learning algorithms and predetermined period, the basis of the fertilizer prediction model is joined Numerical value optimizes adjustment.
5. a kind of fertilizer parameter adjustment controls of fertilizer applicator, which is characterized in that including:
Detection data acquisition module, for obtaining the detection data of plant;
Prediction module, for the detection data to be inputted fertilizer prediction model, by the fertilizer prediction model to the inspection Measured data is predicted, obtains prediction result;Wherein, the fertilizer prediction model is is established by learning fertilizer basic data 's;
Parameter adjustment module, for generating fertilizer parameter adjustment instruction according to the prediction result, to pass through the fertilizer parameter Adjust instruction is adjusted the dose of fertilizer applicator.
6. fertilizer parameter adjustment controls according to claim 5, which is characterized in that
The prediction module is specifically used for:It is and described pre- by the corresponding parameter value of each fertilizer parameter in the detection data The underlying parameter value corresponding with each fertilizer parameter surveyed in model is compared, by the parameter value of each fertilizer parameter and basis The comparing result of parameter value is as prediction result.
7. fertilizer parameter adjustment controls according to claim 6, which is characterized in that the parameter adjustment module, including:
Parameter determination unit to be adjusted, for comparing result to be exceeded to the underlying parameter of predetermined estimation range as ginseng to be adjusted Number;
Birthdate module is instructed, for joining according to the generation of the comparing result of the parameter to be adjusted to the fertilizer of the parameter to be adjusted Number adjust instruction, to be adjusted by fertilizer parameter adjustment instruction to the dose of fertilizer applicator.
8. the fertilizer parameter adjustment controls described according to claim 6 or 7, which is characterized in that further include:
Underlying parameter optimization module, for utilizing the prediction result of SparkMLlib machine learning algorithms and predetermined period, to institute The underlying parameter value for stating fertilizer prediction model optimizes adjustment.
9. a kind of fertilizer parameter adjustment device of fertilizer applicator, which is characterized in that including:
Memory, for storing computer program;
Processor realizes the fertilizer parameter adjustment side as described in any one of Claims 1-4 during for performing the computer program The step of method.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium Program realizes the fertilizer parameter regulation means as described in any one of Claims 1-4 when the computer program is executed by processor The step of.
CN201711422522.0A 2017-12-25 2017-12-25 The fertilizer parameter regulation means and device of a kind of fertilizer applicator Pending CN108154267A (en)

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CN109118382A (en) * 2018-08-23 2019-01-01 吉林省土壤肥料总站 The method for building up and application of soil moisture content and dose relational model
CN109583560A (en) * 2018-11-27 2019-04-05 中国农业大学 The construction method and device of bivariate fertilizer apparatus defertilizing amount prediction model
CN110400170A (en) * 2019-07-10 2019-11-01 北京耕智农业科技有限公司 A kind of method and device based on user feedback data adjustment crop supply
CN113435566A (en) * 2021-06-22 2021-09-24 布瑞克农业大数据科技集团有限公司 Method, system and device for fertilizing farm crops and storage medium
CN116187525A (en) * 2022-12-21 2023-05-30 二十一世纪空间技术应用股份有限公司 Remote sensing prediction method and device for crop yield in northwest region combined with weather
CN117035618A (en) * 2023-10-09 2023-11-10 山东爱福地生物股份有限公司 Management method and system for storage bin of organic water-soluble fertilizer

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CN109118382A (en) * 2018-08-23 2019-01-01 吉林省土壤肥料总站 The method for building up and application of soil moisture content and dose relational model
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CN110400170A (en) * 2019-07-10 2019-11-01 北京耕智农业科技有限公司 A kind of method and device based on user feedback data adjustment crop supply
CN113435566A (en) * 2021-06-22 2021-09-24 布瑞克农业大数据科技集团有限公司 Method, system and device for fertilizing farm crops and storage medium
CN114757326A (en) * 2021-06-22 2022-07-15 布瑞克农业大数据科技集团有限公司 Method and system for determining fertilization formula of farm crops based on artificial intelligence
CN116187525A (en) * 2022-12-21 2023-05-30 二十一世纪空间技术应用股份有限公司 Remote sensing prediction method and device for crop yield in northwest region combined with weather
CN116187525B (en) * 2022-12-21 2023-09-01 二十一世纪空间技术应用股份有限公司 Remote sensing prediction method and device for crop yield in northwest region combined with weather
CN117035618A (en) * 2023-10-09 2023-11-10 山东爱福地生物股份有限公司 Management method and system for storage bin of organic water-soluble fertilizer
CN117035618B (en) * 2023-10-09 2024-01-12 山东爱福地生物股份有限公司 Management method and system for storage bin of organic water-soluble fertilizer

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Application publication date: 20180612