CN109752487A - Wheat Leavess nitrogen content predictor method and device - Google Patents
Wheat Leavess nitrogen content predictor method and device Download PDFInfo
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- CN109752487A CN109752487A CN201811446103.5A CN201811446103A CN109752487A CN 109752487 A CN109752487 A CN 109752487A CN 201811446103 A CN201811446103 A CN 201811446103A CN 109752487 A CN109752487 A CN 109752487A
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Abstract
The embodiment of the present invention provides a kind of Wheat Leavess nitrogen content predictor method and device, belongs to crop planting technical field.This method comprises: obtaining each blade layer nitrogen content in canopy of winter wheat blade, it is based on each blade layer nitrogen content, the Vertical nitrogen distribution information of winter wheat is determined, and be based on each blade layer nitrogen content, constructs the optimal layer nitrogen model of winter wheat；Vertical nitrogen distribution information is coupled with optimal layer nitrogen model, obtains the canopy leaves nitrogen content prediction model of winter wheat, and predict based on canopy leaves nitrogen content of the canopy leaves nitrogen content prediction model to winter wheat.Since remote sensing information has certain limitation to the detection of canopy information, and the Vertical Distribution Law of winter wheat is combined, it can be accurate and rapidly to the monitoring of LTN content.
Description
Technical field
The present embodiments relate to crop planting technical fields more particularly to a kind of Wheat Leavess nitrogen content to estimate
Method and device.
Background technique
Nitrogen is component and chlorophyll, the plant hormone and dimension life of crop vivo acid, protein and nucleic acid etc.
Main component in element.The accurate monitoring of crop nitrogen situation is also to instruct the important evaluation index of nitrogen application, when nitrogenous fertilizer supplies
When answering appropriate, crop leaf is big and bud green, and functional period of leaf extends, and trophosome is healthy and strong, and yield is high.And current excessive nitrogen application
Situation is universal, and excessive nitrogen application not only causes the huge waste of agricultural resource, but also has caused crop plant and grown, easily fall suddenly
Volt and infection pest and disease damage, remaining green when it is due to become yellow and ripe late-maturing, seed easily occur the series of problems such as mildew, while causing crop failure and also affecting agriculture
Product quality.Wherein, there are apparent vertical gradients for the distribution of crop canopies Nitrogen Spatial.Nitrogen content vertical gradient is in canopy
One distinguishing feature of crop canopies.It is existing that largely researches show that nitrogen in the crop canopies such as wheat, soybean, cotton, sunflower
There are apparent vertical gradients for element distribution.During canopy development, LTN content just will form vertical gradient, canopy
Top vane is not due to shading and nitrogen is high in blade more biggish than canopy bottom Shading area.Therefore, how quickly big face
Product carries out crop nitrogen information Precise Diagnosis, provides accurate yield and quality information prediction and nitrogenous fertilizer decision formula as agricultural
The major issue of Information application.
Summary of the invention
To solve the above-mentioned problems, the embodiment of the present invention provides one kind and overcomes the above problem or at least be partially solved
State the Wheat Leavess nitrogen content predictor method and device of problem.
According to a first aspect of the embodiments of the present invention, a kind of Wheat Leavess nitrogen content predictor method is provided, comprising:
Each blade layer nitrogen content in canopy of winter wheat blade is obtained, each blade layer nitrogen content is based on, determines winter wheat
Vertical nitrogen distribution information, and be based on each blade layer nitrogen content, construct the optimal layer nitrogen model of winter wheat；
Vertical nitrogen distribution information is coupled with optimal layer nitrogen model, the canopy leaves nitrogen for obtaining winter wheat contains
Prediction model is measured, and is predicted based on canopy leaves nitrogen content of the canopy leaves nitrogen content prediction model to winter wheat.
Method provided in an embodiment of the present invention is based on by obtaining each blade layer nitrogen content in canopy of winter wheat blade
Each blade layer nitrogen content determines the Vertical nitrogen distribution information of winter wheat, and is based on each blade layer nitrogen content, and the building winter is small
The optimal layer nitrogen model of wheat.Vertical nitrogen distribution information is coupled with optimal layer nitrogen model, obtains the hat of winter wheat
Layer LTN content prediction model, and contained based on canopy leaves nitrogen of the canopy leaves nitrogen content prediction model to winter wheat
Amount is predicted.Since remote sensing information has certain limitation to the detection of canopy information, and combine vertical point of winter wheat
Cloth rule, can be accurate and rapidly to the monitoring of LTN content.
According to a second aspect of the embodiments of the present invention, a kind of Wheat Leavess nitrogen content estimating device is provided, comprising:
Module is obtained, for obtaining each blade layer nitrogen content in canopy of winter wheat blade；
Determining module determines the Vertical nitrogen distribution information of winter wheat for being based on each blade layer nitrogen content；
Module is constructed, for being based on each blade layer nitrogen content, constructs the optimal layer nitrogen model of winter wheat；
Coupling module obtains winter wheat for coupling Vertical nitrogen distribution information with optimal layer nitrogen model
Canopy leaves nitrogen content prediction model；
Prediction module, for based on canopy leaves nitrogen content prediction model to the canopy leaves nitrogen content of winter wheat into
Row prediction.
According to a third aspect of the embodiments of the present invention, a kind of electronic equipment is provided, comprising:
At least one processor；And
At least one processor being connect with processor communication, in which:
Memory is stored with the program instruction that can be executed by processor, and the instruction of processor caller is able to carry out first party
The Wheat Leavess nitrogen content side of estimating provided by any possible implementation in the various possible implementations in face
Method.
According to the fourth aspect of the invention, a kind of non-transient computer readable storage medium, non-transient computer are provided
Readable storage medium storing program for executing stores computer instruction, and computer instruction makes the various possible implementations of computer execution first aspect
In Wheat Leavess nitrogen content predictor method provided by any possible implementation.
It should be understood that above general description and following detailed description be it is exemplary and explanatory, can not
Limit the embodiment of the present invention.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of flow diagram of Wheat Leavess nitrogen content predictor method provided in an embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of Wheat Leavess nitrogen content estimating device provided in an embodiment of the present invention；
Fig. 3 is the block diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Nitrogen is component and chlorophyll, the plant hormone and dimension life of crop vivo acid, protein and nucleic acid etc.
Main component in element.The accurate monitoring of crop nitrogen situation is also to instruct the important evaluation index of nitrogen application, when nitrogenous fertilizer supplies
When answering appropriate, crop leaf is big and bud green, and functional period of leaf extends, and trophosome is healthy and strong, and yield is high.And current excessive nitrogen application
Situation is universal, and excessive nitrogen application not only causes the huge waste of agricultural resource, but also has caused crop plant and grown, easily fall suddenly
Volt and infection pest and disease damage, remaining green when it is due to become yellow and ripe late-maturing, seed easily occur the series of problems such as mildew, while causing crop failure and also affecting agriculture
Product quality.
Wherein, there are apparent vertical gradients for the distribution of crop canopies Nitrogen Spatial.Nitrogen content vertical gradient is in canopy
One distinguishing feature of crop canopies.It is existing that largely researches show that nitrogen in the crop canopies such as wheat, soybean, cotton, sunflower
There are apparent vertical gradients for element distribution.During canopy development, LTN content just will form vertical gradient, canopy
Top vane is not due to shading and nitrogen is high in blade more biggish than canopy bottom Shading area.Therefore, how quickly big face
Product carries out crop nitrogen information Precise Diagnosis, provides accurate yield and quality information prediction and nitrogenous fertilizer decision formula as agricultural
The major issue of Information application.
Traditional nitrogen nutrient diagnosis decision etc. is all based on conventional indoor biochemical analysis method, and method time-consuming is taken a lot of work,
It is with high costs.Remote sensing information has many advantages, such as efficiently, quick and real-time, but due to blade construction etc., cannot effectively detect whole
A crop canopies information, is bound to cause the missing of predictive information.
For said circumstances, the embodiment of the invention provides a kind of Wheat Leavess nitrogen content predictor methods.It needs
Bright, this method can be applicable to other crops, the embodiment of the present invention does not make this other than being suitable for winter wheat
It is specific to limit.Referring to Fig. 1, this method comprises:
101, each blade layer nitrogen content in canopy of winter wheat blade is obtained, each blade layer nitrogen content is based on, determines the winter
The Vertical nitrogen distribution information of wheat, and it is based on each blade layer nitrogen content, construct the optimal layer nitrogen model of winter wheat.
102, Vertical nitrogen distribution information is coupled with optimal layer nitrogen model, obtains the canopy leaves nitrogen of winter wheat
Cellulose content prediction model, and carried out in advance based on canopy leaves nitrogen content of the canopy leaves nitrogen content prediction model to winter wheat
It surveys.
Method provided in an embodiment of the present invention is based on by obtaining each blade layer nitrogen content in canopy of winter wheat blade
Each blade layer nitrogen content determines the Vertical nitrogen distribution information of winter wheat, and is based on each blade layer nitrogen content, and the building winter is small
The optimal layer nitrogen model of wheat.Vertical nitrogen distribution information is coupled with optimal layer nitrogen model, obtains the hat of winter wheat
Layer LTN content prediction model, and contained based on canopy leaves nitrogen of the canopy leaves nitrogen content prediction model to winter wheat
Amount is predicted.Since remote sensing information has certain limitation to the detection of canopy information, and combine vertical point of winter wheat
Cloth rule, can be accurate and rapidly to the monitoring of LTN content.
Content based on the above embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not to acquisition winter wheat hat
The mode of each blade layer nitrogen content specifically limits in layer blade, including but not limited to: the canopy spectra of winter wheat is measured, and
It locates the different types of winter wheat sample of upper acquisition in canopy spectra；Wherein, different type is divided into different growing, no
With nitrogen amount applied and different year；Measure different types of winter wheat sample each blade layer nitrogen content after water-removing.
Specifically, the measurement of back hanging type field EO-1 hyperion radiation gauge can be used in canopy of winter wheat spectrum.Winter wheat sample can be adopted
From different growing, the sample point of different nitrogen amount applieds and different year, each sample point can acquire 20 stem winter wheat plants, and
It is layered.After the 30min that finishes in 105 DEG C of baking oven can be respectively charged into after kraft paper bag after layering, dried under the conditions of 80 DEG C
It to constant weight, is once weighed every 2h, measures per front and back weight difference < 5 ‰ twice, pass through the unit area winter of field investigation
Wheat stem number converts to obtain dry weight.By the winter wheat sample comminution after drying, each blade of Kjeldahl nitrogen determination winter wheat is utilized
Layer nitrogen content.
Content based on the above embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not to based on each blade layer
Nitrogen content determines that the mode of the Vertical nitrogen distribution information of winter wheat specifically limits, including but not limited to: being based on each blade
Layer nitrogen content and each blade layer biomass, calculate the Vertical nitrogen distribution information of winter wheat.Specifically, winter wheat can be analyzed
The Vertical Distribution Law of different growth stage.
Content based on the above embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not to based on each blade layer
Nitrogen content, the mode for constructing the optimal layer nitrogen model of winter wheat specifically limit, including but not limited to: being based on each blade layer
Nitrogen content calculates the accounting that each blade layer nitrogen content accounts for canopy leaves nitrogen content, and is based on each blade layer nitrogen content
Accounting, construct the optimal layer nitrogen model of winter wheat.
Content based on the above embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not to based on each blade layer
The accounting of nitrogen content, the mode for constructing the optimal layer nitrogen model of winter wheat specifically limit, including but not limited to: to each leaf
The accounting of lamella nitrogen content and each vegetation index make correlation analysis, obtain each blade layer nitrogen content and each vegetation index it
Between related coefficient；Based on the related coefficient between each blade layer nitrogen content and each vegetation index, the optimal of winter wheat is constructed
Layer nitrogen model.
Content based on the above embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not to based on each blade layer
Related coefficient between nitrogen content and each vegetation index, the mode for constructing the optimal layer nitrogen model of winter wheat specifically limit
It is fixed, including but not limited to: all related coefficients being sorted from large to small, before determining after maximum correlation coefficient and sequence
Preset quantity related coefficient, using the corresponding blade layer of maximum correlation coefficient as optimal blade layer, by preceding preset quantity phase
The corresponding vegetation index of relationship number is as optimal vegetation index；Based on optimal blade layer and optimal vegetation index, winter wheat is constructed
Optimal layer nitrogen model.
Content based on the above embodiment is obtaining canopy leaves nitrogen content prediction mould as a kind of alternative embodiment
After type, canopy leaves nitrogen content prediction model can also be verified.The embodiment of the present invention is not to canopy leaves nitrogen
The mode that content prediction model is verified specifically limits, including but not limited to: the winter wheat ground for obtaining the independent time is high
Spectroscopic data, and it is based on winter wheat ground high modal data, canopy leaves nitrogen content prediction model is verified.
Content based on the above embodiment, the embodiment of the invention provides a kind of Wheat Leavess nitrogen contents to estimate dress
It sets, the device is for executing the Wheat Leavess nitrogen content predictor method provided in above method embodiment.Referring to fig. 2, should
Device includes: to obtain module 201, determining module 202, building module 203, coupling module 204 and prediction module 205.Wherein,
Module 201 is obtained, for obtaining each blade layer nitrogen content in canopy of winter wheat blade；
Determining module 202 determines the Vertical nitrogen distribution information of winter wheat for being based on each blade layer nitrogen content；
Module 203 is constructed, for being based on each blade layer nitrogen content, constructs the optimal layer nitrogen model of winter wheat；
Coupling module 204 obtains winter wheat for coupling Vertical nitrogen distribution information with optimal layer nitrogen model
Canopy leaves nitrogen content prediction model；
Prediction module 205, for being contained based on canopy leaves nitrogen of the canopy leaves nitrogen content prediction model to winter wheat
Amount is predicted.
Content based on the above embodiment obtains module 201, for measuring winter wheat as a kind of alternative embodiment
Canopy spectra, and locate the different types of winter wheat sample of upper acquisition in canopy spectra；Wherein, different type is divided into not
Same breeding time, different nitrogen amount applieds and different year；Measure different types of winter wheat sample each blade layer nitrogen after water-removing
Content.
Content based on the above embodiment, as a kind of alternative embodiment, determining module 202 is based on each blade layer nitrogen
Content and each blade layer biomass, calculate the Vertical nitrogen distribution information of winter wheat.
Content based on the above embodiment constructs module 203 as a kind of alternative embodiment, comprising:
Computing unit calculates each blade layer nitrogen content and accounts for canopy leaves nitrogen for being based on each blade layer nitrogen content
The accounting of content；
Construction unit constructs the optimal layer nitrogen model of winter wheat for the accounting based on each blade layer nitrogen content.
Content based on the above embodiment, as a kind of alternative embodiment, construction unit, for all related coefficients into
Row sorts from large to small, the preceding preset quantity related coefficient after determining maximum correlation coefficient and sequence, by maximal correlation system
The corresponding blade layer of number is as optimal blade layer, using the corresponding vegetation index of preceding preset quantity related coefficient as optimal vegetation
Index；Based on optimal blade layer and optimal vegetation index, the optimal layer nitrogen model of winter wheat is constructed.
Content based on the above embodiment, as a kind of alternative embodiment, the device further include:
Authentication module for obtaining the winter wheat ground high modal data in independent time, and is based on winter wheat ground high
Modal data verifies canopy leaves nitrogen content prediction model.
Device provided in an embodiment of the present invention is based on by obtaining each blade layer nitrogen content in canopy of winter wheat blade
Each blade layer nitrogen content determines the Vertical nitrogen distribution information of winter wheat, and is based on each blade layer nitrogen content, and the building winter is small
The optimal layer nitrogen model of wheat.Vertical nitrogen distribution information is coupled with optimal layer nitrogen model, obtains the hat of winter wheat
Layer LTN content prediction model, and contained based on canopy leaves nitrogen of the canopy leaves nitrogen content prediction model to winter wheat
Amount is predicted.Since remote sensing information has certain limitation to the detection of canopy information, and combine vertical point of winter wheat
Cloth rule, can be accurate and rapidly to the monitoring of LTN content.
Fig. 3 illustrates the entity structure schematic diagram of a kind of electronic equipment, as shown in figure 3, the electronic equipment may include: place
Manage device (processor) 310, communication interface (Communications Interface) 320,330 He of memory (memory)
Communication bus 340, wherein processor 310, communication interface 320, memory 330 complete mutual lead to by communication bus 340
Letter.Processor 310 can call the logical order in memory 330, to execute following method: obtaining in canopy of winter wheat blade
Each blade layer nitrogen content is based on each blade layer nitrogen content, determines the Vertical nitrogen distribution information of winter wheat, and be based on each leaf
Lamella nitrogen content constructs the optimal layer nitrogen model of winter wheat；By Vertical nitrogen distribution information and optimal layer nitrogen model into
Row coupling obtains the canopy leaves nitrogen content prediction model of winter wheat, and is based on canopy leaves nitrogen content prediction model pair
The canopy leaves nitrogen content of winter wheat is predicted.
In addition, the logical order in above-mentioned memory 330 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, electronic equipment or the network equipment etc.) executes each reality of the present invention
Apply all or part of the steps of a method.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. it is various
It can store the medium of program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
The computer program is implemented to carry out the various embodiments described above offer method when being executed by processor, for example, it is small to obtain the winter
Each blade layer nitrogen content in wheat canopy leaves is based on each blade layer nitrogen content, determines the Vertical nitrogen distribution letter of winter wheat
Breath, and it is based on each blade layer nitrogen content, construct the optimal layer nitrogen model of winter wheat；By Vertical nitrogen distribution information with it is optimal
Layer nitrogen model is coupled, and obtains the canopy leaves nitrogen content prediction model of winter wheat, and contain based on canopy leaves nitrogen
Amount prediction model predicts the canopy leaves nitrogen content of winter wheat.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of Wheat Leavess nitrogen content predictor method characterized by comprising
Each blade layer nitrogen content in canopy of winter wheat blade is obtained, each blade layer nitrogen content is based on, determines the nitrogen of winter wheat
Plain vertical distribution information, and it is based on each blade layer nitrogen content, construct the optimal layer nitrogen model of winter wheat；
The Vertical nitrogen distribution information is coupled with the optimal layer nitrogen model, obtains the canopy leaves nitrogen of winter wheat
Cellulose content prediction model, and based on the canopy leaves nitrogen content prediction model to the canopy leaves nitrogen content of winter wheat into
Row prediction.
2. the method according to claim 1, wherein each blade layer nitrogen in the acquisition canopy of winter wheat blade
Content, comprising:
It measures the canopy spectra of winter wheat, and locates the different types of winter wheat sample of upper acquisition in canopy spectra；Wherein,
Different type is divided into different growing, different nitrogen amount applieds and different year；
Measure different types of winter wheat sample each blade layer nitrogen content after water-removing.
3. determining winter wheat the method according to claim 1, wherein described be based on each blade layer nitrogen content
Vertical nitrogen distribution information, comprising:
Based on each blade layer nitrogen content and each blade layer biomass, the Vertical nitrogen distribution information of winter wheat is calculated.
4. constructing winter wheat the method according to claim 1, wherein described be based on each blade layer nitrogen content
Optimal layer nitrogen model, comprising:
It based on each blade layer nitrogen content, calculates each blade layer nitrogen content and accounts for the accounting of canopy leaves nitrogen content, and be based on
The accounting of each blade layer nitrogen content constructs the optimal layer nitrogen model of winter wheat.
5. according to the method described in claim 4, it is characterized in that, the accounting based on each blade layer nitrogen content, building
The optimal layer nitrogen model of winter wheat, comprising:
Correlation analysis is made to the accounting and each vegetation index of each blade layer nitrogen content, obtains each blade layer nitrogen content and each
Related coefficient between vegetation index；
Based on the related coefficient between each blade layer nitrogen content and each vegetation index, the optimal layer nitrogen mould of winter wheat is constructed
Type.
6. according to the method described in claim 5, it is characterized in that, described be based on each blade layer nitrogen content and each vegetation index
Between related coefficient, construct the optimal layer nitrogen model of winter wheat, comprising:
All related coefficients are sorted from large to small, the preceding preset quantity phase after determining maximum correlation coefficient and sequence
Relationship number, it is using the corresponding blade layer of maximum correlation coefficient as optimal blade layer, preceding preset quantity related coefficient is corresponding
Vegetation index is as optimal vegetation index；
Based on the optimal blade layer and the optimal vegetation index, the optimal layer nitrogen model of winter wheat is constructed.
7. the method according to claim 1, wherein described be based on the canopy leaves nitrogen content prediction model
After predicting the canopy leaves nitrogen content of winter wheat, further includes:
The winter wheat ground high modal data in independent time is obtained, and is based on the winter wheat ground high modal data, to described
Canopy leaves nitrogen content prediction model is verified.
8. a kind of Wheat Leavess nitrogen content estimating device characterized by comprising
Module is obtained, for obtaining each blade layer nitrogen content in canopy of winter wheat blade；
Determining module determines the Vertical nitrogen distribution information of winter wheat for being based on each blade layer nitrogen content；
Module is constructed, for being based on each blade layer nitrogen content, constructs the optimal layer nitrogen model of winter wheat；
It is small to obtain the winter for coupling the Vertical nitrogen distribution information with the optimal layer nitrogen model for coupling module
The canopy leaves nitrogen content prediction model of wheat；
Prediction module, for based on the canopy leaves nitrogen content prediction model to the canopy leaves nitrogen content of winter wheat into
Row prediction.
9. a kind of electronic equipment characterized by comprising
At least one processor；And
At least one processor being connect with the processor communication, in which:
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to instruct energy
Enough methods executed as described in claim 1 to 7 is any.
10. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute the method as described in claim 1 to 7 is any.
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| CN110069895A (en) * | 2019-05-20 | 2019-07-30 | 中国水利水电科学研究院 | Winter wheat nitrogen content gives birth to period spectrum monitoring method for establishing model entirely |
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| CN117457066A (en) * | 2023-12-26 | 2024-01-26 | 山东科技大学 | Winter wheat grain protein content prediction method with provincial scale |
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Application publication date: 20190514 |