CN107742172A - Predict method, system and the computer installation of crop yield - Google Patents
Predict method, system and the computer installation of crop yield Download PDFInfo
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- CN107742172A CN107742172A CN201711070581.6A CN201711070581A CN107742172A CN 107742172 A CN107742172 A CN 107742172A CN 201711070581 A CN201711070581 A CN 201711070581A CN 107742172 A CN107742172 A CN 107742172A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention discloses a kind of method, system and computer installation for predicting crop yield.In the present invention, the application rate of the crops is recorded in the sowing time of the crops, the prediction field planting amount of the crops is determined according to the default germination percentage and default transplanting planting percent of the application rate and the crops, the first forecast production of the crops is determined according to the default single average weight of the prediction field planting amount and the crops.The present invention can determine the forecast production of crops according to crops in the application rate in sowing time, the default germination percentage of crops, default transplanting planting percent and default single average weight, it is thus possible to improve the accuracy rate and efficiency of prediction crop yield.
Description
Technical field
The invention belongs to agricultural production, more particularly to a kind of method, system and computer for predicting crop yield
Device.
Background technology
Agricultural is the importance of Chinese national economy, as population is more and more, to agricultural production and agricultural resource
Management requirement also more and more higher.As information science technology develops, modern agriculture is from traditional rough type management to information
Change and scientific transformation, form a set of science, automating, new agricultural production management system.In agricultural production process
In, it usually needs the yield of crops is estimated in advance.But because crop yield is influenceed by factors, such as environment
The factors such as factor, maturation time and pest and disease damage, the method for existing prediction crop yield is caused to have that accuracy rate is low, efficiency
The problem of low.
Therefore, there is the problem of accuracy rate is low, efficiency is low in the method for existing prediction crop yield.
The content of the invention
The present invention provides a kind of method, system and computer installation for predicting crop yield, it is intended to solves existing pre-
Survey the problem of accuracy rate is low, efficiency is low existing for the method for crop yield.
First aspect present invention provides a kind of method for predicting crop yield, applied in computer installation, the side
Method includes：
The application rate of the crops is recorded in the sowing time of the crops；
The farming is determined according to the default germination percentage and default transplanting planting percent of the application rate and the crops
The prediction field planting amount of thing；
The first of the crops are determined according to the default single average weight of the prediction field planting amount and the crops
Forecast production.
In a preferably embodiment, methods described also includes：
In the growth period of the crops, the actual field planting amount of the crops is obtained；
Second forecast production is determined according to the actual field planting amount and the default single average weight.
In a preferably embodiment, when first forecast production is less than goal-selling yield or described
When two forecast productions are less than first forecast production or less than the goal-selling yield, methods described also includes：
In the growth period of the crops, the growth data of the crops is obtained；
The default growth data prestored in the growth data of the crops and the computer installation is carried out pair
Than, and according to the ratio of nutrient solution of the comparing result adjustment crops, be controlled with the growth to the crops.
In a preferably embodiment, the planting area of the crops is provided with to be communicated with the computer installation
Multiple cameras of connection, the growth data for obtaining the crops include：
Pass through crop growth figure of the multiple camera collection in multiple predeterminable area positions of the planting area.
In a preferably embodiment, the default growth data includes the crops life of corresponding each predeterminable area position
Long standard drawing, the growth data by the crops are entered with the default growth data prestored in the computer installation
Row contrast, and included according to the ratio of nutrient solution of the comparing result adjustment crops：
The crop growth figure of each predeterminable area position is contrasted with true with corresponding crop growth standard drawing
Surely the value of chromatism of each predeterminable area position is corresponded to, and determines aberration average value；
The ratio of nutrient solution of the crops is adjusted according to the aberration average value.
In a preferably embodiment, the ratio of nutrient solution bag that the crops are adjusted according to the aberration average value
Include：
Default aberration grade according to belonging to the aberration average value, it is determined that corresponding with the default aberration grade preset
Ratio of nutrient solution；
Obtain the current ratio of nutrient solution of the crops；
If the current ratio of nutrient solution of the crops is different from the identified default ratio of nutrient solution, institute is adjusted
The current ratio of nutrient solution of crops is stated to default ratio of nutrient solution corresponding with the default aberration grade.
In a preferably embodiment, methods described also includes：By the default aberration grade belonging to the aberration average value
And default ratio of nutrient solution corresponding with the default aberration grade is shown in and carries out communication with the computer installation and be connected
Management terminal on.
In a preferably embodiment, methods described also includes：
If the default aberration grade described in the aberration average value exceedes predetermined threshold value, send warning information to it is described
Computer installation communicate the management terminal of connection.
Second aspect of the present invention provides a kind of system for predicting crop yield, applied in computer installation, the system
System includes：
Application rate logging modle, for recording the application rate of the crops in the sowing time of the crops；
Field planting amount prediction module, for the default germination percentage according to the application rate and the crops and default transplanting
Planting percent determines the prediction field planting amount of the crops；
Production forecast module, determined for the default single average weight according to the prediction field planting amount and the crops
The first forecast production of the crops.
Third aspect present invention provides a kind of computer installation, and the computer installation includes processor, the processor
The method that crop yield is predicted described in any of the above-described embodiment is realized during for performing the computer program stored in memory.
In the present invention, the application rate of crops is recorded in the sowing time of crops, according to the pre- of application rate and crops
If germination percentage and default transplanting planting percent determine the prediction field planting amount of crops, according to the default of prediction field planting amount and crops
Single average weight determines the first forecast production of crops.The present invention can be according to application rate of the crops in sowing time, agriculture
The default germination percentage of crop, default transplanting planting percent and default single average weight determine the forecast production of crops, therefore,
The accuracy rate and efficiency of prediction crop yield can be improved.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, make required in being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those skilled in the art, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached
Figure.
Fig. 1 is the implementation process figure of the method for prediction crop yield provided in an embodiment of the present invention；
Fig. 2 is the functional block diagram of the system of prediction crop yield provided in an embodiment of the present invention；
Fig. 3 is the structural representation of computer installation provided in an embodiment of the present invention.
Main element symbol description
| Computer installation | 1 |
| Camera | 2 |
| The system for predicting crop yield | 10 |
| Application rate logging modle | 101 |
| Field planting amount prediction module | 102 |
| Production forecast module | 103 |
| Memory | 11 |
| Processor | 12 |
| Input-output equipment | 13 |
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Fig. 1 shows the implementation process of the method for prediction crop yield provided in an embodiment of the present invention, according to different
Demand, the order of step can change in the flow chart, and some steps can be omitted.For convenience of description, illustrate only and this
The related part of inventive embodiments, details are as follows：
As shown in figure 1, the method for prediction crop yield, applied in computer installation 1, the prediction crop yield
Method include：
Step S101, the application rate of the crops is recorded in the sowing time of the crops.
Wherein, the crops can be cereal crops, can also be such as vegetable crop, oil crops and melon and fruit flower
The green vegetables such as the industrial crops such as grass, the vegetable crop roots vegetable such as including radish, spinach, celery and crowndaisy chrysanthemum, cabbage
The mustard vegetables such as the cabbage vegetable such as vegetables, wild cabbage, cauliflower, water east leaf mustard, stem mustard and leaf mustard, potato, mountain
The solanaceous vegetables such as the tuber and tuberous rooted vegetableses such as medicine, tomato, eggplant and capsicum；The vegetable crop also includes melon vegetables, beans
Vegetables, aquatic vegetable and edible fungi etc..
In the sowing time of the crops, count and record the application rate of crops, so as to as follow-up tracking and management
Basic basis.Wherein, the application rate can be according to the market demand, either the crops are current or the supply and demand of picking time
The application rate that Relationship Prediction determines.In addition, in other embodiments, the application rate can also be carried out according to goal-selling yield
It is determined that.
Step S102, determined according to the default germination percentage and default transplanting planting percent of the application rate and the crops
The prediction field planting amount of the crops.
The default germination percentage is the germination percentage pre-set, and the default germination percentage is more according to the crops before
What the statistical result of the germination percentage data of batch obtained.For example, the statistics according to the multiple batches of germination percentage before the crops
As a result, the germination percentage of the multiple batches of the crops is obtained, specifically, such as germination percentage 1, germination percentage 2, germination percentage 3, germination percentage 4, hair
Bud rate 5 and germination percentage 6, then the default germination percentage be germination percentage 1, germination percentage 2, germination percentage 3, germination percentage 4, germination percentage 5 and
The average germination percentage of germination percentage 6, i.e., default germination percentage=(germination percentage 1+ germination percentage 2+ germination percentage 3+ germination percentage 4+ germination percentages 5+ is sent out
Bud rate 6)/6.When determining default germination percentage using the germination percentage of n batches, germination percentage=(germination percentage 1+ germination percentages 2+ hairs are preset
Bud rate 3++ germination percentage n-2+ germination percentage n-1+ germination percentages n)/n, wherein, described batch of frequency n is positive integer, and
It can be balanced according to amount of calculation and accuracy, and suitable numerical value n is chosen according to actual production administrative situation.Can be with
Say, the batch n of the germination percentage of statistics is more, and the default germination percentage is closer to actual germination percentage.
The default transplanting planting percent is the transplanting planting percent pre-set, before the default transplanting planting percent is basis
The crops obtain in the statistical result of multiple batches of transplanting planting percent data.For example, according to more batches before the crops
The statistical result of secondary transplanting planting percent, obtains the transplanting planting percent of the multiple batches of the crops.Using n batches transplanting into
When seedling rate determines default transplanting planting percent, transplanting planting percent=(transplanting planting percent 1+ transplanting planting percent 2+ transplanting planting percents 3 are preset
++ transplanting planting percent n-2+ transplanting planting percent n-1+ transplanting planting percents n)/n.Wherein, described batch of frequency n is just
Integer, and can be balanced according to amount of calculation and accuracy, and suitable numerical value is chosen according to actual production administrative situation
N, the batch n of the transplanting planting percent of statistics is more, and the default transplanting planting percent is closer to actual transplanting planting percent.Obtaining
To after the application rate and the default germination percentage of the crops and the default transplanting planting percent of the crops of the crops,
Field planting amount of the computational methods of planting percent to the crops can be transplanted according to field planting amount=application rate * germination percentages * to carry out in advance
Survey, that is, predict that field planting amount=application rate * presets the default transplanting planting percents of germination percentage *, determine the prediction field planting amount of the crops.
Step S103, the farming is determined according to the default single average weight of the prediction field planting amount and the crops
First forecast production of thing.
Wherein, the default single average weight is the single average weight pre-set, described default single average heavy
Amount is that the statistical result of the single average weight data that the crops are multiple batches of before obtains.For example, according to the farming
The statistical result of single multiple batches of average weight before thing, single average weight of multiple batches of the crops is obtained, had
Body, such as single average weight 1, single average weight 2, single average weight 3, single average weight 4, single average weight 5
And single average weight 6, then the default single average weight be single average weight 1, single average weight 2, single it is average
Weight 3, single average weight 4, the average single average weight of single average weight 5 and single average weight 6, i.e., it is default single
Average weight=(single mono- of average weight 4+ of mono- of average weight 1+ mono- of average weight 3+ of mono- of average weight 2+ is average
Mono- average weight 6 of weight 5+)/6.When determining to preset single average weight using single average weight of n batches, preset single
Average weight=(single mono- of average weight 2+ of mono- of average weight 1+ average weight 3+ ...+mono- average weight n-2+
Mono- average weight n)/n of single average weight n-1+.Wherein, described batch of frequency n is positive integer, and can according to amount of calculation and
Accuracy is balanced, and chooses suitable numerical value n according to actual production administrative situation.It can be said that single of statistics is average
The batch n of weight is more, and the default single average weight is closer to single actual average weight.
Getting the prediction field planting amount of the crops and the default single average weight of the crops, you can
Single average weight is preset according to yield=field planting amount *.Single is preset according to the first forecast production=prediction field planting amount * averagely
Weight, the first forecast production of the crops is determined, to realize the prediction to the crop yield.
In embodiments of the present invention, the application rate of the crops is recorded in the sowing time of the crops, according to described
The default germination percentage and default transplanting planting percent of application rate and the crops determine the prediction field planting amount of the crops, root
The first forecast production of the crops is determined according to the default single average weight of the prediction field planting amount and the crops.This
Inventive embodiments can according to crops the application rate in sowing time, the default germination percentage of crops, default transplanting planting percent with
And preset single average weight and determine the forecast productions of crops, it is thus possible to improve the accuracy rate of prediction crop yield and
Efficiency.
In embodiments of the present invention, the application rate of the crops is recorded in the sowing time of the crops, according to described
The default germination percentage and default transplanting planting percent of application rate and the crops determine the prediction field planting amount of the crops, root
The first forecast production of the crops is determined according to the default single average weight of the prediction field planting amount and the crops, this
Inventive embodiments can according to crops the application rate in sowing time, the default germination percentage of crops, default transplanting planting percent with
And preset single average weight and determine the forecast productions of crops, it is thus possible to improve the accuracy rate of prediction crop yield and
Efficiency.
In a preferably embodiment, on the basis of shown in above-mentioned Fig. 1, the method for the prediction crop yield is also wrapped
Include：
In the growth period of the crops, the actual field planting amount of the crops is obtained.
In view of in nursery, only the seeds of the crops of some can germinate as seedling crops, and by agriculture
, can be affected by various factors when the seedling of crop carries out field planting transplanting, cause only that the seedling of some can be into
Work(is colonized.Therefore, the germination percentage and the transplanting planting percent are respectively less than 100%.For the ease of the hair to the crops
The situation of bud situation and transplanting seedling is understood and tracked, then in the growth period of the crops, to the reality of the crops
Border colonisation is counted, and obtains the actual field planting amount of the crops.
Second forecast production is determined according to the actual field planting amount and the default single average weight.
Likewise, single average weight is preset according to yield=field planting amount *, described in the growth period acquisition in the crops
After actual field planting amount, the yield of the crops is predicted again, and obtains production forecast result, i.e., it is pre- according to second
Survey yield=actual field planting amount * and preset single average weight, the second of the crops is determined in the growth period of the crops
Forecast production.
In order to which the growth to the crops is controlled and is managed, anticipation can be reached so as to the growth of the crops
Or prediction crop yield, in a preferably embodiment, be less than goal-selling yield in first forecast production
When either in second forecast production less than first forecast production or during less than the goal-selling yield, it is described pre-
Surveying the method for crop yield also includes：
In the growth period of the crops, the growth data of the crops is obtained.
Wherein, the goal-selling yield is the target output pre-set, i.e., according to the development of market situation and supply and demand
The forecast production that relation is pre-set, in the picking time of the crops, the forecast production can both meet the market demand, again
Certain business efficiency or value can be reached.In addition, the goal-selling yield and first forecast production can be
Identical or different.In the case of the goal-selling yield with the first forecast production difference, if broadcasting
First forecast production that kind of phase determines be less than the goal-selling yield, or according to determining the of actual field planting amount determination
Two forecast productions are less than first forecast production determined in sowing time, or first prediction determined in sowing time
Yield is less than the goal-selling yield, then illustrate the growth of the crops and goal-selling yield generate it is certain inclined
Difference is, it is necessary to which the growth to the crops in time is controlled and managed, to realize goal-selling yield, then in the farming
When thing reaches growth period, i.e., in the growth period in the crops, the growth datas of the crops is obtained, so as to the farming
The growing state of thing is monitored and managed.Wherein, the growth period includes primary growth phase, mid-term growth period and later stage life
For a long time.The growth data can be view data or video data.
The default growth data prestored in the growth data of the crops and the computer installation 1 is carried out pair
Than, and according to the ratio of nutrient solution of the comparing result adjustment crops, be controlled with the growth to the crops.
After the growth data of the crops is got, by the growth data of the crops and computer installation 1
In the default growth data that prestores contrasted.Wherein, the default growth data prestored in computer installation 1
Growth data with the crops is corresponding.By the growth data of the crop growth phase got and computer installation 1
In the default growth data in growth period that prestores contrasted, and the nutrient solution of the crops is adjusted according to comparing result
Proportioning, the growth of the crops is controlled by adjusting the proportioning of nutrient solution, so that the crops are managed and monitored,
To reach goal-selling yield.
In a preferably embodiment, the planting area of the crops is provided with to be led to the computer installation 1
Multiple cameras 2 of connection are interrogated, the growth data for obtaining the crops includes：
Pass through crop growth figure of the multiple camera collection in multiple predeterminable area positions of the planting area.
In the embodiment of the present invention, the planting area of crops is provided with to carry out communicating connection with the computer installation 1
Multiple cameras 2, as shown in figure 3, only exemplary in figure 3 herein draw two cameras 2.The multiple camera 2 is logical
Cross wired or wirelessly carry out communication with the computer installation 1 and be connected.The multiple camera 2 is respectively according to default position
Multiple different positions and the angle of the planting area of crops are pre-installed in angle, it is in embodiments of the present invention, described
The quantity of multiple cameras 2 is 6, and the quantity of the multiple camera 2 and the position of placement and angle can also be according to realities
Border is needed and the demand of production management is modified.Multiple different angles can be respectively top-left corner, upper right angle, on side angle
Degree, side lower angle, left side angle and right-hand corner etc., can also set other angles in addition to above-mentioned several angles.It is described
Multiple cameras 2 planting area of its crops gathered after installing good position and setting angle is fixed.Therefore,
It is the multiple by what is pre-set in the growth period of the crops in order to which the growth to crops is controlled and is managed
Camera 2 gathers the crop growth figure of multiple predeterminable area positions in the proportion of crop planting region.
Wherein, the predeterminable area position is associated with position that the camera 2 is installed and the angle set, is imaging
Behind first 2 position and angle-determining, the planting area that camera 2 gathers is fixed, and the predeterminable area position is can root
Certain subregion position of the crops pre-set according to being actually needed with production management demand, alternatively, it is also possible to pass through adjustment
The predeterminable area position that the position of camera 2 and angulation change camera 2 gather.
Accordingly, in a preferably embodiment, the default growth data includes corresponding each predeterminable area position
Crop growth standard drawing, the growth data by the crops are default with being prestored in the computer installation 1
Growth data is contrasted, and is included according to the ratio of nutrient solution of the comparing result adjustment crops：
The crop growth figure of each predeterminable area position is contrasted with true with corresponding crop growth standard drawing
Surely the value of chromatism of each predeterminable area position is corresponded to, and determines aberration average value.
, will be each pre- after the crop growth figure of multiple different predeterminable area positions of crop growth phase is got
If the crop growth figure in the growth period of regional location and the corresponding crop growth prestored in computer installation 1
Standard drawing is contrasted respectively.Wherein, the crops standard drawing that is prestored in computer installation 1 and adopted by camera 2
The crop growth figure of multiple the different predeterminable area positions collected is corresponding, i.e., in corresponding crop growth standard drawing
Predeterminable area position in regional location and crop growth figure is corresponding regional location.
For the crop growth standard drawing pre-set in the computer installation 1, in the growth period of crops, lead to
Growth figure of each camera 2 in the multiple crops of predeterminable area station acquisition is crossed, and it is therefrom true according to the selection of user
The ideal growth figure of fixed each predeterminable area position crop growth is as the crop growth standard being subsequently compared
Figure.In other examples, the crop growth standard drawing can also be pre-set by other means, for example, user with
Micro-judgment, when crop growth state is optimal shooting obtained by image or picture, shooting crops growth
Figure after editing and processing etc. is carried out on the basis of figure.
Preset for example, the crop growth standard drawing in the growth period prestored in computer installation 1 is camera 2
Position and angle acquisition 6 predeterminable area positions crop growth standard drawing, then in the growth period of crops, will described in
Multiple cameras 2 are pre-set according to the predeterminated position and angle, and gather 6 crop growths of the crops in growth period
Figure.6 will prestored in collected in the growth period of the crops 6 crop growth figures and computer installation 1
Crop growth standard drawing is compared respectively, it is determined that the value of chromatism of each predeterminable area position, that is, determine each crops
Growth figure and the value of chromatism of corresponding crop growth standard drawing, so far can determine 6 values of chromatism：Value of chromatism 1, value of chromatism 2,
Value of chromatism 3, value of chromatism 4, value of chromatism 5 and value of chromatism 6.After above-mentioned 6 values of chromatism are determined, then determine above-mentioned 6 aberration
The aberration average value of value, i.e.,：Aberration average value=(value of chromatism 1+ value of chromatism 2+ value of chromatism 3+ value of chromatism 4+ value of chromatism 5+ values of chromatism
6)/6, you can to obtain aberration average value of the crops in growth period.Above-mentioned value of chromatism can utilize color of the prior art
Poor computational methods are determined, and are no longer described in detail herein.Above-mentioned value of chromatism can utilize Colorimetry method of the prior art
It is determined.
The ratio of nutrient solution of the crops is adjusted according to the aberration average value.
If the crop growth figure and the default crop growth standard drawing have aberration, illustrate the farming
Thing has differences in current growth conditions and preferable growth conditions, then needs the ratio of nutrient solution current to the crops
It is adjusted, is controlled and manages with the growth conditions to the crops, i.e., according to the aberration average value to the agriculture
The ratio of nutrient solution of crop is adjusted.
In a preferably embodiment, specifically, the nutrition that the crops are adjusted according to the aberration average value
Liquid proportioning includes：
Default aberration grade according to belonging to the aberration average value, it is determined that corresponding with the default aberration grade preset
Ratio of nutrient solution.
After above-mentioned aberration average value is got, the default aberration grade belonging to the aberration average value is determined.It is described
Default aberration grade is the aberration grade pre-set, its be a range of aberration value range is divided into advance it is multiple etc.
Grade, the number of degrees at interval and the default aberration grade pre-set between each default aberration grade specifically divided can root
According to free setting is actually needed, special limitation is not done herein.For example, aberration scope is divided into five aberration sections, it is corresponding
The default aberration grade of setting five, according to the aberration section where the aberration average value in the growth period of above-mentioned determination, determine color
Default aberration grade belonging to poor average value, it is determined that default aberration grade belonging to aberration average value and then row determine with
The default aberration grade presets ratio of nutrient solution accordingly.The default ratio of nutrient solution is pre-setting with the aberration
The corresponding ratio of nutrient solution of grade.It is corresponding for the first default ratio of nutrient solution, the second aberration grade corresponding to first aberration grade
For second default ratio of nutrient solution etc. by that analogy.Specifically can be according to the growth characteristics and nutrient solution demand in growth period
Setting meets the default aberration grade in growth period and default ratio of nutrient solution, the accordingly default aberration grade and default nutrition
Liquid proportioning with the demand of production management can also set and change accordingly according to being actually needed.It should be noted that
In embodiments of the invention, the determination of aberration and the determination of aberration grade show that the growth of the crops and standard growth are present
A certain distance, therefore, it is necessary to the control to the crop growth is realized by the corresponding adjustment of following ratio of nutrient solution.
Furthermore it is possible to according to the growth characteristics in growth period and need to set the default aberration grade for meeting growth period and default nutrient solution to match somebody with somebody
Than.The default aberration grade and accordingly default ratio of nutrient solution can be carried out according to being actually needed with the demand of production management
It is corresponding to set and change.
Obtain the current ratio of nutrient solution of the crops.
In order to determine whether the current growth of the crops is in preferable or standard growth conditions, in this step
The current ratio of nutrient solution of the crops is obtained, so as to which the growth conditions of the crops are monitored and managed.
If the current ratio of nutrient solution of the crops is different from the identified default ratio of nutrient solution, institute is adjusted
The current ratio of nutrient solution of crops is stated to default ratio of nutrient solution corresponding with the default aberration grade.
It is understood that the default ratio of nutrient solution for promote crops described in current growth phase reach it is preferable or
Ratio of nutrient solution required for the growth conditions of person's standard, if the current ratio of nutrient solution of the crops got and according to
The default ratio of nutrient solution that the aberration average value determines is different, then illustrates the current growth conditions of the crops and do not meet
Preferable or standard growth conditions, now need the ratio of nutrient solution current to the crops to be adjusted, with right
The growth conditions of the crops are controlled and managed.
For example, it is assumed that the default aberration grade belonging to aberration average value of the crops determined in growth period is second
Default aberration grade, ratio of nutrient solution of presetting corresponding with the described second default aberration grade is the second default ratio of nutrient solution,
If the current ratio of nutrient solution of the crops is different from the described second default ratio of nutrient solution, illustrate the life of the crops
It is long and preferably or comparatively slight deviation occur in the growth conditions of standard, then need current to the crops
Ratio of nutrient solution carries out relatively small adjustment, will the current ratio of nutrient solution of the crops adjust to identified described
Second default ratio of nutrient solution, so that the growth to the crops is controlled and is managed.
Assuming that the default aberration grade belonging to aberration average value of the crops determined in growth period is default for the 4th
Aberration grade, ratio of nutrient solution of presetting corresponding with the described 4th default aberration grade is the 4th default ratio of nutrient solution, if institute
State the current nutrient solution of crops match somebody with somebody and the described 4th preset ratio of nutrient solution it is different, then illustrate growth and the reason of the crops
There is comparatively serious deviation in growth conditions think or standard, then need the nutrient solution current to the crops
Proportioning carries out relatively large adjustment, will the current ratio of nutrient solution of the crops adjust to the described 4th default nutrient solution
Proportioning, so that the growth to the crops is controlled and is managed.
For easy reference and monitor, in a preferably embodiment, on the basis of above-mentioned, the prediction farming produce
The method of amount also includes：
Corresponding with the default aberration grade anchor a tent the default aberration grade belonging to the aberration average value and in advance
Nutrient solution proportioning, which is shown in, with the computer installation 1 communicate in the management terminal of connection.
Determine aberration average value of the crops in growth period, the default aberration grade belonging to aberration average value with
And default ratio of nutrient solution corresponding with the predetermined level, then by the default aberration grade and with the default aberration etc.
The corresponding default ratio of nutrient solution of level, which is shown in, with the computer installation 1 communicate in the management terminal of connection, so as to right
The growth of the crops is monitored and managed.The management terminal includes control room, smart mobile phone or Intelligent flat etc.
Intelligent terminal, and touch-control all-in-one machine etc..For example, second belonging to aberration average value of the crops in growth period is preset into aberration
Grade and the second default ratio of nutrient solution corresponding with the second aberration grade are shown in and carried out with the computer installation 1
In the management terminal for communicating connection；Or the 4th belonging to aberration average value of the crops in growth period is preset into aberration etc.
Level is preset ratio of nutrient solution and be shown in the described 4th default aberration grade the corresponding 4th is led to the computer installation 1
In the management terminal for interrogating connection.
For the ease of monitoring and early warning, in a preferably embodiment, the method for the crop production management also includes：
If the default aberration grade belonging to the aberration average value exceedes predetermined threshold value, warning information is sent to the pipe
Manage terminal.
If the aberration of the crop growth figure of crop growth phase and default crop growth standard drawing is excessive, illustrate
Larger difference be present in the current upgrowth situation of the crops and preferable or expected standard growth situation, then need and
When early warning and adjustment.I.e. when the default aberration grade belonging to the aberration average value exceedes predetermined threshold value, warning information is sent
To management terminal, so that the growth control to the crops is timely adjusted.The predetermined threshold value is pre-set
Default aberration grade, it can be adjusted and change according to the default aberration grade pre-set., can equally exemplified by above-mentioned
To pre-set the default aberration grade belonging to the aberration average value more than the 3rd default aberration grade (including the 3rd default color
Poor grade) when, then send in warning information to management terminal.For example, belonging to aberration average value of the crops in growth period
Default aberration grade be the 4th default aberration grade, then send warning information to carrying out communicating connection with computer installation 1
In management terminal.
For the ease of monitoring and analyzing the growth characteristics of crops, in a preferably embodiment, the production estimation
The method of management also includes：The crop growth figure is preserved into the computer installation 1.
For the ease of the growth to the crops it is monitored and analyzes, will can also be collected by camera 2
Crop growth figure of the crops in growth period is preserved into computer installation 1, to monitor and subsequently to consult the crops
Further statistics and analysis is carried out in the upgrowth situation in growth period, and to the crop growth figure, is the crops
Production and management provide valuable reference data and accumulation production management experience.
In embodiments of the present invention, when first forecast production is less than goal-selling yield or described second
Forecast production is less than first forecast production or during less than the goal-selling yield, in the growth period of the crops,
The crop growth figure of the crops is obtained, the crop growth figure of each predeterminable area position is given birth to corresponding crops
Long standard drawing is contrasted to determine the value of chromatism of corresponding each predeterminable area position, and determines aberration average value, according to described
Default aberration grade belonging to aberration average value, it is determined that default ratio of nutrient solution corresponding with the default aberration grade, is obtained
The current ratio of nutrient solution of the crops, if the current ratio of nutrient solution of the crops and the identified default nutrition
Liquid proportioning is different, then adjusts the current ratio of nutrient solution of the crops to default nutrition corresponding with the default aberration grade
Liquid matches.The embodiment of the present invention can match somebody with somebody in the current ratio of nutrient solution of the crops and the identified default nutrient solution
Than it is different when, adjust the current ratio of nutrient solution of the crops to default nutrient solution corresponding with the default aberration grade and match somebody with somebody
Than being controlled with the growth to the crops, reaching the default of the crops to the actual production of the crops
Target output.Therefore, the embodiment of the present invention can further improve the accuracy rate and efficiency of prediction crop yield.
Fig. 2 shows the system function module of prediction crop yield provided in an embodiment of the present invention, for convenience of description,
The part related to the embodiment of the present invention is illustrate only, details are as follows：
With reference to figure 2, the modules included by the system 10 of the prediction crop yield are used to perform the corresponding implementations of Fig. 1
Each step in example, the associated description in embodiment is corresponded to referring specifically to Fig. 1 and Fig. 1, here is omitted.The present invention
In embodiment, the system 10 of the prediction crop yield includes application rate logging modle 101, field planting amount prediction module 102 with
And production forecast module 103.
The application rate logging modle 101, for recording the application rate of the crops in the sowing time of the crops.
The field planting amount prediction module 102, for the default germination percentage according to the application rate and the crops and
Default transplanting planting percent determines the prediction field planting amount of the crops.
The production forecast module 103, it is average for default single according to the prediction field planting amount and the crops
Weight determines the first forecast production of the crops.
In embodiments of the present invention, the application rate logging modle 101 records the agriculture in the sowing time of the crops
The default germination percentage of the application rate of crop, application rate described in the field planting amount prediction module 102 and the crops and default
Transplanting planting percent determines the prediction field planting amounts of the crops, the production forecast module 103 according to the prediction field planting amount and
The default single average weight of the crops determines the first forecast production of the crops.The embodiment of the present invention can basis
Crops are in the application rate in sowing time, the default germination percentage of crops, default transplanting planting percent and preset single average weight
The forecast production of crops is determined, it is thus possible to improve the accuracy rate and efficiency of prediction crop yield.
In a preferably embodiment, on the basis of shown in above-mentioned Fig. 2, the system 10 of the prediction crop yield is also
Including acquisition module.
The acquisition module, for the growth period in the crops, obtain the actual field planting amount of the crops.
The production forecast module 103, it is additionally operable to according to the actual field planting amount and the default single average weight
Determine the second forecast production.
In order to which the growth to the crops is controlled and is managed, anticipation can be reached so as to the growth of the crops
Or prediction crop yield, in a preferably embodiment, be less than goal-selling yield in first forecast production
When either in second forecast production less than first forecast production or during less than the goal-selling yield, it is described pre-
Surveying the system 10 of crop yield also includes growth data acquisition module and adjusting module.
The growth data acquisition module, for the growth period in the crops, obtain the growth number of the crops
According to.
The adjusting module, for will prestore in the growth data of the crops and the computer installation 1
Default growth data is contrasted, and the ratio of nutrient solution of the crops is adjusted according to comparing result, with to the crops
Growth be controlled.
In a preferably embodiment, the planting area of the crops is provided with to be led to the computer installation 1
Multiple cameras 2 of connection are interrogated, the growth data acquisition module includes collecting unit.
The collecting unit, for gathering multiple predeterminable areas in the planting area by the multiple camera 2
The crop growth figure of position.
Accordingly, in a preferably embodiment, the default growth data includes corresponding each predeterminable area position
Crop growth standard drawing, the adjusting module include determining unit and adjustment unit.
The determining unit, for by the crop growth figure of each predeterminable area position and corresponding crop growth mark
Quasi- figure is contrasted to determine the value of chromatism of corresponding each predeterminable area position, and determines aberration average value.
The adjustment unit, for adjusting the ratio of nutrient solution of the crops according to the aberration average value.
In a preferably embodiment, the adjustment unit includes determination subelement, obtains subelement and adjusts son single
Member.
The determination subelement, for the default aberration grade according to belonging to the aberration average value, it is determined that with it is described pre-
If aberration grade presets ratio of nutrient solution accordingly.
The acquisition subelement, the ratio of nutrient solution current for obtaining the crops.
The adjustment subelement, if the ratio of nutrient solution current for the crops and the identified default nutrition
Liquid proportioning is different, then adjusts the current ratio of nutrient solution of the crops to default nutrition corresponding with the default aberration grade
Liquid matches.
For easy reference and monitor, in a preferably embodiment, on the basis of above-mentioned, the prediction farming produce
The system 10 of amount also includes display module.
The display module, for by the default aberration grade belonging to the aberration average value and with the default aberration
Grade is preset ratio of nutrient solution and is shown in the management terminal that communication connection is carried out with the computer installation 1 accordingly.
For the ease of monitoring and early warning, in a preferably embodiment, the system 10 of the crop production management is also wrapped
Include warning module.
The warning module, if exceed predetermined threshold value for the default aberration grade belonging to the aberration average value, hair
Warning information is sent to the management terminal.
For the ease of monitoring and analyzing the growth characteristics of crops, in a preferably embodiment, the production estimation
The system 10 of management also includes preserving module.
The preserving module, for preserving the crop growth figure into the computer installation 1.
In embodiments of the present invention, when first forecast production is less than goal-selling yield or described second
Forecast production is less than first forecast production or during less than the goal-selling yield, in the growth period of the crops,
Growth data acquisition module obtains the growth data of the crops, i.e., crop growth figure, the determining unit will be each pre-
If the crop growth figure of regional location and corresponding crop growth standard drawing are contrasted with the corresponding each preset areas of determination
The value of chromatism of domain position, and aberration average value is determined, default color of the determination subelement according to belonging to the aberration average value
Poor grade, it is determined that default ratio of nutrient solution corresponding with the default aberration grade, the acquisition subelement obtains the farming
The current ratio of nutrient solution of thing, if the current ratio of nutrient solution of the crops and the identified default ratio of nutrient solution are not
Together, then the current ratio of nutrient solution of the adjustment subelement adjustment crops is extremely corresponding pre- with the default aberration grade
If ratio of nutrient solution.The embodiment of the present invention described pre- can anchor a tent in the current ratio of nutrient solution of the crops with identified
When nutrient solution proportioning is different, adjusts the current ratio of nutrient solution of the crops and anchored a tent in advance to corresponding with the default aberration grade
Nutrient solution matches, and is controlled with the growth to the crops, reaches the crops to the actual production of the crops
Goal-selling yield.Therefore, the embodiment of the present invention can further improve the accuracy rate and efficiency of prediction crop yield.
The detailed functions of above-mentioned each functional module, unit and subelement specifically may refer to above-mentioned corresponding method and implement
Associated description in example, is no longer described in detail herein.
Fig. 3 is the computer dress of the preferred embodiment of the method provided in an embodiment of the present invention for realizing prediction crop yield
Put 1 structural representation.As shown in figure 3, computer installation 1 includes memory 11, processor 12 and input-output equipment 13.
The computer installation 1 be it is a kind of can according to the instruction for being previously set or storing, it is automatic carry out numerical computations and/
Or the equipment of information processing, its hardware include but is not limited to microprocessor, application specific integrated circuit (Application Specific
Integrated Circuit, ASIC), programmable gate array (Field-Programmable Gate Array, FPGA), number
Word processing device (Digital Signal Processor, DSP), embedded device etc..
The computer installation 1 can be any electronic product that man-machine interaction can be carried out with user, for example, personal
Computer, tablet personal computer, smart mobile phone, personal digital assistant (Personal Digital Assistant, PDA), game machine,
IPTV (Internet Protocol Television, IPTV), intellectual Wearable etc..The calculating
Machine device 1 can be server, and the server includes but is not limited to single network server, multiple webservers form
Server group or the cloud being made up of a large amount of main frames or the webserver based on cloud computing (Cloud Computing), wherein, cloud
Calculating is one kind of Distributed Calculation, a super virtual computer being made up of the computer collection of a group loose couplings.It is described
Network residing for computer installation 1 includes but is not limited to internet, wide area network, Metropolitan Area Network (MAN), LAN, VPN
(Virtual Private Network, VPN) etc..
Memory 11 is used for the program of the method for Storage Estimation crop yield and various data, and in computer installation 1
High speed is realized in running, is automatically completed the access of program or data.Memory 11 can be the outside of computer installation 1
Storage device and/or internal storage device.Further, memory 11 can not have having for physical form in integrated circuit
The circuit of store function, such as RAM (Random-Access Memory, direct access storage device), FIFO (First In
First Out) etc., or, memory 11 can also be the storage device for having physical form, such as memory bar, TF card
(Trans-flash Card) etc..
Processor 12 can be central processing unit (CPU, Central Processing Unit).CPU is one piece of super large rule
The integrated circuit of mould, it is the arithmetic core (Core) and control core (Control Unit) of computer installation 1.Processor 12 can
Perform the operating system of computer installation 1 and the types of applications program of installation, program code etc., such as perform prediction crops
Types of applications program, the program code of operating system in modules or unit and installation in the system 10 of yield,
To realize the method for prediction crop yield.
Input-output equipment 13 is mainly used in realizing the input/output function of computer installation 1, for example receives and dispatches the number of input
Word or character information, or show the information inputted by user or be supplied to the information of user and respectively planting vegetables for computer installation 1
It is single.
If the integrated module/unit of the computer installation 1 is realized in the form of SFU software functional unit and as independently
Production marketing or in use, can be stored in a computer read/write memory medium.Based on such understanding, the present invention
All or part of flow in above-described embodiment method is realized, the hardware of correlation can also be instructed come complete by computer program
Into described computer program can be stored in a computer-readable recording medium, and the computer program is being executed by processor
When, can be achieved above-mentioned each embodiment of the method the step of.Wherein, the computer program includes computer program code, described
Computer program code can be source code form, object identification code form, executable file or some intermediate forms etc..The meter
Calculation machine computer-readable recording medium can include：Can carry any entity or device of the computer program code, recording medium, USB flash disk,
Mobile hard disk, magnetic disc, CD, computer storage, read-only storage (ROM, Read-Only Memory), random access memory
Device (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..Need what is illustrated
It is that the content that the computer-readable medium includes can be fitted according to legislation in jurisdiction and the requirement of patent practice
When increase and decrease, such as in some jurisdictions, according to legislation and patent practice, computer-readable medium, which does not include electric carrier wave, to be believed
Number and telecommunication signal.
In several embodiments provided by the present invention, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the module
Division, only a kind of division of logic function, can there is other dividing mode when actually realizing.
The module illustrated as separating component can be or may not be physically separate, show as module
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of module therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional module in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of hardware adds software function module.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit requires rather than described above limits, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any attached associated diagram mark in claim should not be considered as into the involved right of limitation will
Ask.Furthermore, it is to be understood that the word of " comprising " one is not excluded for other units or step, odd number is not excluded for plural number.Stated in system claims
Multiple modules or device can also be realized by a module or device by software or hardware.The first, the second grade word
For representing title, and it is not offered as any specific order.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although reference
The present invention is described in detail for preferred embodiment, it will be understood by those within the art that, can be to the present invention's
Technical scheme is modified or equivalent substitution, without departing from the spirit and scope of technical solution of the present invention.
Claims (10)
- A kind of 1. method for predicting crop yield, applied in computer installation, it is characterised in that methods described includes：The application rate of the crops is recorded in the sowing time of the crops；The crops are determined according to the default germination percentage and default transplanting planting percent of the application rate and the crops Predict field planting amount；The first prediction of the crops is determined according to the default single average weight of the prediction field planting amount and the crops Yield.
- 2. the method as described in claim 1, it is characterised in that methods described also includes：In the growth period of the crops, the actual field planting amount of the crops is obtained；Second forecast production is determined according to the actual field planting amount and the default single average weight.
- 3. method as claimed in claim 1 or 2, it is characterised in that be less than goal-selling yield in first forecast production When or in second forecast production less than first forecast production or during less than the goal-selling yield, it is described Method also includes：In the growth period of the crops, the growth data of the crops is obtained；The growth data of the crops is contrasted with the default growth data prestored in the computer installation, and The ratio of nutrient solution of the crops is adjusted according to comparing result, is controlled with the growth to the crops.
- 4. method as claimed in claim 3, it is characterised in that the planting area of the crops is provided with and the computer Device communicate multiple cameras of connection, and the growth data for obtaining the crops includes：Pass through crop growth figure of the multiple camera collection in multiple predeterminable area positions of the planting area.
- 5. method as claimed in claim 4, it is characterised in that the default growth data includes corresponding each predeterminable area position The crop growth standard drawing put, the growth data by the crops are pre- with being prestored in the computer installation If growth data is contrasted, and is included according to the ratio of nutrient solution of the comparing result adjustment crops：The crop growth figure of each predeterminable area position is contrasted with determination pair with corresponding crop growth standard drawing The value of chromatism of each predeterminable area position is answered, and determines aberration average value；The ratio of nutrient solution of the crops is adjusted according to the aberration average value.
- 6. method as claimed in claim 5, it is characterised in that described that the crops are adjusted according to the aberration average value Ratio of nutrient solution includes：Default aberration grade according to belonging to the aberration average value, it is determined that default nutrition corresponding with the default aberration grade Liquid matches；Obtain the current ratio of nutrient solution of the crops；If the current ratio of nutrient solution of the crops is different from the identified default ratio of nutrient solution, the agriculture is adjusted The current ratio of nutrient solution of crop presets ratio of nutrient solution to corresponding with the default aberration grade.
- 7. method as claimed in claim 6, it is characterised in that methods described also includes：By the default aberration grade belonging to the aberration average value and default nutrient solution corresponding with the default aberration grade Proportioning, which is shown in, with the computer installation communicate in the management terminal of connection.
- 8. method as claimed in claim 6, it is characterised in that methods described also includes：If the default aberration grade described in the aberration average value exceedes predetermined threshold value, send warning information to the calculating Machine device communicate the management terminal of connection.
- A kind of 9. system for predicting crop yield, applied in computer installation, it is characterised in that the system includes：Application rate logging modle, for recording the application rate of the crops in the sowing time of the crops；Field planting amount prediction module, for the default germination percentage according to the application rate and the crops and default transplanting seedling Rate determines the prediction field planting amount of the crops；Production forecast module, described in being determined according to the default single average weight of the prediction field planting amount and the crops The first forecast production of crops.
- 10. a kind of computer installation, it is characterised in that the computer installation includes processor, and the processor is used to perform The side that crop yield is predicted as described in any one in claim 1-8 is realized during the computer program stored in memory Method.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108605519A (en) * | 2018-04-26 | 2018-10-02 | 深圳春沐源控股有限公司 | Crop picking method and electronic equipment |
| CN111507309A (en) * | 2020-05-20 | 2020-08-07 | 孟庆峰 | Crop planting state analysis system |
| CN112529375A (en) * | 2020-11-26 | 2021-03-19 | 中南民族大学 | Experiment teaching method and system based on intelligent agricultural environment data analysis |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104766135A (en) * | 2015-03-25 | 2015-07-08 | 中国农业科学院农业信息研究所 | Method, device and system for predicting crop yield |
| US20160073573A1 (en) * | 2014-09-12 | 2016-03-17 | The Climate Corporation | Methods and systems for managing agricultural activities |
| CN106804413A (en) * | 2017-01-18 | 2017-06-09 | 深圳前海弘稼科技有限公司 | The control method and control device of a kind of nutrient solution |
| CN106934724A (en) * | 2017-02-13 | 2017-07-07 | 浙江海高思通信科技有限公司 | Green vegetables growing way analysis system based on Internet of Things |
-
2017
- 2017-11-03 CN CN201711070581.6A patent/CN107742172A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160073573A1 (en) * | 2014-09-12 | 2016-03-17 | The Climate Corporation | Methods and systems for managing agricultural activities |
| CN104766135A (en) * | 2015-03-25 | 2015-07-08 | 中国农业科学院农业信息研究所 | Method, device and system for predicting crop yield |
| CN106804413A (en) * | 2017-01-18 | 2017-06-09 | 深圳前海弘稼科技有限公司 | The control method and control device of a kind of nutrient solution |
| CN106934724A (en) * | 2017-02-13 | 2017-07-07 | 浙江海高思通信科技有限公司 | Green vegetables growing way analysis system based on Internet of Things |
Non-Patent Citations (1)
| Title |
|---|
| 王维金: "《作物栽培学》", 31 August 1998, 科学技术文献出版社 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108605519A (en) * | 2018-04-26 | 2018-10-02 | 深圳春沐源控股有限公司 | Crop picking method and electronic equipment |
| CN111507309A (en) * | 2020-05-20 | 2020-08-07 | 孟庆峰 | Crop planting state analysis system |
| CN112529375A (en) * | 2020-11-26 | 2021-03-19 | 中南民族大学 | Experiment teaching method and system based on intelligent agricultural environment data analysis |
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