CN109299427A - Rice rice milling yield calculation method, system, server and storage medium - Google Patents

Rice rice milling yield calculation method, system, server and storage medium Download PDF

Info

Publication number
CN109299427A
CN109299427A CN201811021963.4A CN201811021963A CN109299427A CN 109299427 A CN109299427 A CN 109299427A CN 201811021963 A CN201811021963 A CN 201811021963A CN 109299427 A CN109299427 A CN 109299427A
Authority
CN
China
Prior art keywords
rice
milling yield
rice milling
yield
veriety
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811021963.4A
Other languages
Chinese (zh)
Other versions
CN109299427B (en
Inventor
刘朔
周康
祁华清
刘江蓉
高婧
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan Polytechnic University
Original Assignee
Wuhan Polytechnic University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan Polytechnic University filed Critical Wuhan Polytechnic University
Priority to CN201811021963.4A priority Critical patent/CN109299427B/en
Publication of CN109299427A publication Critical patent/CN109299427A/en
Application granted granted Critical
Publication of CN109299427B publication Critical patent/CN109299427B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Business, Economics & Management (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mining & Mineral Resources (AREA)
  • Pure & Applied Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Agronomy & Crop Science (AREA)
  • Animal Husbandry (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mathematical Optimization (AREA)
  • Algebra (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Adjustment And Processing Of Grains (AREA)

Abstract

The invention discloses a kind of rice rice milling yield calculation method, system, server and storage mediums, the method passes through the corresponding target data of veriety rice each in acquisition rice raw data table, the target data is substituting in default Optimized model, the corresponding initial rice milling yield of each veriety rice is obtained;The initial rice milling yield is updated in preset data interval model, each veriety rice corresponding rice milling yield standard section is obtained;Rice milling yield of the initial rice milling yield not in rice milling yield standard section is screened out, it is substituting to the rice milling yield after screening out as second order rice milling yield in default Optimized model, obtain the corresponding target rice milling yield of each veriety rice, using the target rice milling yield as final rice rice milling yield, reduce human error, avoid the case where error information causes rice rice milling yield to be distorted, saves rice rice milling yield and calculate the time, the accuracy of rice rice milling yield is improved, the user experience is improved.

Description

Rice rice milling yield calculation method, system, server and storage medium
Technical field
The present invention relates to food processing field more particularly to a kind of rice rice milling yield calculation method, system, server and deposit Storage media.
Background technique
The detection of paddy rice milling yield is that paddy stores up the quality references foundation important with rice process, the number of rice milling yield According to the quality for being directly related to paddy, the height of rice milling yield directly affects paddy price and processing quality of rice, is to influence paddy Farmer, paddy circulation operator and an important factor for rice processing enterprises benefit, paddy store up and rice processing work for example because Detection speed is slow or data are inaccurate going on smoothly of will affect that paddy stores up and process, at the same be also influence benefit it is direct because Element, the calculating of traditional paddy rice milling yield will advanced row manual sampling, processed in being transferred to set of rice processing equipment Polished rice is obtained, last weighing and calculating obtains the rice milling yield data of rice.Not only error is larger for this process manual operation, obtains Data are not accurate enough, and the data of Timing measurement manually will be calculated and be counted, and need to take a substantial amount of time and manpower, Great inconvenience is brought for testing staff, and manual operation is easy to appear data error, so as to cause final rice rice milling yield The low problem of accuracy, in existing rice processing enterprises, the rice rice milling yield of different stage lacks one and scientific and effective estimates Meter mode.
Summary of the invention
The main purpose of the present invention is to provide a kind of rice rice milling yield calculation method, system, server and storage medium, Aim to solve the problem that rice rice milling yield calculates not accurate enough in the prior art, and the larger rice for leading to different stage of manual operation error Rice milling yield is not easy the technical issues of estimation.
To achieve the above object, the present invention provides a kind of rice rice milling yield calculation method, rice rice milling yield calculating side Method the following steps are included:
The corresponding target data of each veriety rice in rice raw data table is obtained, the target data is substituting to pre- If in Optimized model, obtaining the corresponding initial rice milling yield of each veriety rice, the rice raw data table is rice processing enterprise The tables of data of industry record rice data;
The initial rice milling yield is updated in preset data interval model, the corresponding rice milling yield of each veriety rice is obtained Standard section;
Rice milling yield of the initial rice milling yield not in rice milling yield standard section is screened out, going out after screening out Rice rate is as second order rice milling yield;
The second order rice milling yield is substituting in the default Optimized model, the corresponding target of each veriety rice is obtained and goes out Rice rate, using the target rice milling yield as final rice rice milling yield.
Preferably, the corresponding target data of each veriety rice in the acquisition rice raw data table, by the target Data are substituting in default Optimized model, are obtained the corresponding initial rice milling yield of each veriety rice, are specifically included:
Obtain the corresponding rice yield of each veriety rice, paddy usage amount and sample kind in rice raw data table Rice milling yield;
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, obtained The corresponding initial rice milling yield of each veriety rice.
Preferably, described that the rice yield, paddy usage amount and sample kind rice milling yield are substituting to default optimization In model, the corresponding initial rice milling yield of each veriety rice is obtained, is specifically included:
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, passed through Following formula obtains the corresponding initial rice milling yield of each veriety rice:
Wherein, Q1For initial rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, AijFor i-th of enterprise's sample The rice yield of j-th of kind, qjFor the sample kind rice milling yield of j-th of kind, wherein qj> 0, RiFor i-th of enterprise's sample Paddy usage amount.
Preferably, described that the initial rice milling yield is updated in preset data interval model, obtain each veriety rice Corresponding rice milling yield standard section, specifically includes:
The initial rice milling yield is updated in preset data interval model, according to the rice yield of each veriety rice It determines the rice milling yield weight of each veriety rice, and determines that each veriety is big according to the sample kind rice milling yield of each veriety rice The average rice milling yield of rice;
All kinds of product are obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield Kind rice corresponding rice milling yield standard section.
Preferably, described according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield Each veriety rice corresponding rice milling yield standard section is obtained, is specifically included:
It is obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield by following formula Obtain each veriety rice corresponding rice milling yield standard section:
Wherein, B is each veriety rice corresponding rice milling yield standard section, qavgFor the average rice milling yield, qavg=(q1 +q2+q3+...qj)/j, qjFor the sample kind rice milling yield of j-th of kind, α1、α2、α3For the rice milling yield weight, h1、h2、h3 For pre-set interval weight, R is paddy usage amount.
Preferably, described that the second order rice milling yield is substituting in the default Optimized model, obtain each veriety rice Corresponding target rice milling yield is specifically included using the target rice milling yield as final rice rice milling yield:
The second order rice milling yield is substituting in the default Optimized model, in conjunction with the rice yield and the paddy Usage amount obtains the corresponding target rice milling yield of each veriety rice by following formula, using the target rice milling yield as final rice Rice milling yield:
Wherein, QmFor target rice milling yield, qeFor second order rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, Aij For the rice yield of i-th of enterprise's sample, j-th of kind, RiFor the paddy usage amount of i-th of enterprise's sample.
Preferably, the corresponding target data of each veriety rice in the acquisition rice raw data table, by the target Data are substituting in default Optimized model, before obtaining the corresponding initial rice milling yield of each veriety rice, the rice rice milling yield Calculation method further include:
Total rice milling yield in the initial data of rice raw data table is obtained, according to total rice milling yield and default confidence level Confidence interval obtain error information;
The error information is deleted, the initial data after the error information will be deleted as target data.
In addition, to achieve the above object, the present invention also proposes that a kind of server, the server include: memory, processing Device and the rice rice milling yield calculation procedure that is stored on the memory and can run on the processor, the rice go out rice Rate calculation procedure is arranged for carrying out the step of rice rice milling yield calculation method as described above.
In addition, to achieve the above object, the present invention also proposes a kind of storage medium, rice is stored on the storage medium Rice milling yield calculation procedure, the rice rice milling yield calculation procedure realize rice rice milling yield as described above when being executed by processor The step of calculation method.
In addition, to achieve the above object, the present invention also provides a kind of rice rice milling yield computing system, the rice rice milling yield Computing system includes:
Optimization module, for obtaining the corresponding target data of each veriety rice in rice raw data table, by the mesh Mark data are substituting in default Optimized model, obtain the corresponding initial rice milling yield of each veriety rice, the rice initial data Table is the tables of data that rice processing enterprises record rice data;
Section determining module obtains all kinds of product for the initial rice milling yield to be updated in preset data interval model Kind rice corresponding rice milling yield standard section;
Screening module, for sieving rice milling yield of the initial rice milling yield not in rice milling yield standard section It removes, using the rice milling yield after screening out as second order rice milling yield;
Rice milling yield obtains module, for the second order rice milling yield to be substituting in the default Optimized model, obtains all kinds of The corresponding target rice milling yield of kind rice, using the target rice milling yield as final rice rice milling yield.
Rice rice milling yield calculation method proposed by the present invention, by obtaining each veriety rice pair in rice raw data table The target data is substituting in default Optimized model by the target data answered, obtain each veriety rice it is corresponding it is initial go out Rice rate, the rice raw data table are the tables of data that rice processing enterprises record rice data;By the initial rice milling yield generation Enter into preset data interval model, obtains each veriety rice corresponding rice milling yield standard section;By the initial rice milling yield The rice milling yield in rice milling yield standard section is not screened out, using the rice milling yield after screening out as second order rice milling yield;By institute It states second order rice milling yield to be substituting in default Optimized model, the corresponding target rice milling yield of each veriety rice is obtained, by the target Rice milling yield reduces human error as final rice rice milling yield, and avoiding error information causes rice rice milling yield to be distorted Situation reduces the workload of measurement rice rice milling yield, saves rice rice milling yield and calculates the time, improves rice rice milling yield Accuracy, the user experience is improved.
Detailed description of the invention
Fig. 1 is the server architecture schematic diagram for the hardware running environment that the embodiment of the present invention is related to;
Fig. 2 is the flow diagram of rice rice milling yield calculation method first embodiment of the present invention;
Fig. 3 is the flow diagram of rice rice milling yield calculation method second embodiment of the present invention;
Fig. 4 is the flow diagram of rice rice milling yield calculation method 3rd embodiment of the present invention;
Fig. 5 is the functional block diagram of rice rice milling yield computing system first embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The solution of the embodiment of the present invention is mainly: corresponding by obtaining each veriety rice in rice raw data table Target data, the target data is substituting in default Optimized model, obtain each veriety rice it is corresponding initially go out rice Rate, the rice raw data table are the tables of data that rice processing enterprises record rice data;The initial rice milling yield is substituted into Into preset data interval model, each veriety rice corresponding rice milling yield standard section is obtained;Not by the initial rice milling yield Rice milling yield in rice milling yield standard section is screened out, using the rice milling yield after screening out as second order rice milling yield;It will be described Second order rice milling yield is substituting in default Optimized model, obtains the corresponding target rice milling yield of each veriety rice, the target is gone out Rice rate reduces human error as final rice rice milling yield, avoids the feelings that error information causes rice rice milling yield to be distorted Condition reduces the workload of measurement rice rice milling yield, saves rice rice milling yield and calculates the time, improves the standard of rice rice milling yield True property, the user experience is improved, solves rice rice milling yield in the prior art and calculates not accurate enough, and manual operation error is larger The technical issues of causing the rice rice milling yield of different stage to be not easy estimation.
Referring to Fig.1, Fig. 1 is the server architecture schematic diagram for the hardware running environment that the embodiment of the present invention is related to.
As shown in Figure 1, the server may include: processor 1001, such as CPU, communication bus 1002, user's end interface 1003, network interface 1004, memory 1005.Wherein, communication bus 1002 is for realizing the connection communication between these components. User's end interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard), optional user's termination Mouth 1003 can also include standard wireline interface and wireless interface.Network interface 1004 optionally may include the wired of standard Interface, wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to stable memory (non-volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processor 1001 storage device.
It will be understood by those skilled in the art that server architecture shown in Fig. 1 does not constitute the restriction to the server, It may include perhaps combining certain components or different component layouts than illustrating more or fewer components.
As shown in Figure 1, as may include operating system, network communication mould in a kind of memory 1005 of storage medium Block, user terminal interface module and rice rice milling yield calculation procedure.
Server of the present invention calls the rice rice milling yield calculation procedure stored in memory 1005 by processor 1001, and Execute following operation:
The corresponding target data of each veriety rice in rice raw data table is obtained, the target data is substituting to pre- If in Optimized model, obtaining the corresponding initial rice milling yield of each veriety rice, the rice raw data table is rice processing enterprise The tables of data of industry record rice data;
The initial rice milling yield is updated in preset data interval model, the corresponding rice milling yield of each veriety rice is obtained Standard section;
Rice milling yield of the initial rice milling yield not in rice milling yield standard section is screened out, going out after screening out Rice rate is as second order rice milling yield;
The second order rice milling yield is substituting in the default Optimized model, the corresponding target of each veriety rice is obtained and goes out Rice rate, using the target rice milling yield as final rice rice milling yield.
Further, processor 1001 can call the rice rice milling yield calculation procedure stored in memory 1005, also hold The following operation of row:
Obtain the corresponding rice yield of each veriety rice, paddy usage amount and sample kind in rice raw data table Rice milling yield;
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, obtained The corresponding initial rice milling yield of each veriety rice.
Further, processor 1001 can call the rice rice milling yield calculation procedure stored in memory 1005, also hold The following operation of row:
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, passed through Following formula obtains the corresponding initial rice milling yield of each veriety rice:
Wherein, Q1For initial rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, AijFor i-th of enterprise's sample The rice yield of j-th of kind, qjFor the sample kind rice milling yield of j-th of kind, wherein qj> 0, RiFor i-th of enterprise's sample Paddy use.
Further, processor 1001 can call the rice rice milling yield calculation procedure stored in memory 1005, also hold The following operation of row:
The initial rice milling yield is updated in preset data interval model, according to the rice yield of each veriety rice It determines the rice milling yield weight of each veriety rice, and determines that each veriety is big according to the sample kind rice milling yield of each veriety rice The average rice milling yield of rice;
All kinds of product are obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield Kind rice corresponding rice milling yield standard section.
Further, processor 1001 can call the rice rice milling yield calculation procedure stored in memory 1005, also hold The following operation of row:
It is obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield by following formula Obtain each veriety rice corresponding rice milling yield standard section:
Wherein, B is each veriety rice corresponding rice milling yield standard section, qavgFor the average rice milling yield, qavg=(q1 +q2+q3+...qj)/j, qjFor the sample kind rice milling yield of j-th of kind, α1、α2、α3For the rice milling yield weight, h1、h2、h3 For pre-set interval weight, R is paddy usage amount.
Further, processor 1001 can call the rice rice milling yield calculation procedure stored in memory 1005, also hold The following operation of row:
The second order rice milling yield is substituting in the default Optimized model, in conjunction with the rice yield and the paddy Usage amount obtains the corresponding target rice milling yield of each veriety rice by following formula, using the target rice milling yield as final rice Rice milling yield:
Wherein, QmFor target rice milling yield, qeFor second order rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, Aij For the rice yield of i-th of enterprise's sample, j-th of kind, RiFor the paddy usage amount of i-th of enterprise's sample.
Further, processor 1001 can call the rice rice milling yield calculation procedure stored in memory 1005, also hold The following operation of row:
Total rice milling yield in the initial data of rice raw data table is obtained, according to total rice milling yield and default confidence level Confidence interval obtain error information;
The error information is deleted, the initial data after the error information will be deleted as target data.
The present embodiment through the above scheme, passes through the corresponding number of targets of veriety rice each in acquisition rice raw data table According to, the target data is substituting in default Optimized model, the corresponding initial rice milling yield of each veriety rice is obtained, it is described big Rice raw data table is the tables of data that rice processing enterprises record rice data;The initial rice milling yield is updated to preset data In interval model, each veriety rice corresponding rice milling yield standard section is obtained;By the initial rice milling yield not in the rice out Rice milling yield in rate standard section is screened out, using the rice milling yield after screening out as second order rice milling yield;By the second order rice milling yield It is substituting in default Optimized model, the corresponding target rice milling yield of each veriety rice is obtained, using the target rice milling yield as most Whole rice rice milling yield, reduces human error, avoids the case where error information causes rice rice milling yield to be distorted, reduces survey The workload for measuring rice rice milling yield saves rice rice milling yield and calculates the time, improves the accuracy of rice rice milling yield, improve User experience.
Based on above-mentioned hardware configuration, rice rice milling yield calculation method embodiment of the present invention is proposed.
It is the flow diagram of rice rice milling yield calculation method first embodiment of the present invention referring to Fig. 2, Fig. 2.
In the first embodiment, the rice rice milling yield calculation method the following steps are included:
Step S10, the corresponding target data of each veriety rice in rice raw data table is obtained, by the target data It is substituting in default Optimized model, obtains the corresponding initial rice milling yield of each veriety rice, the rice raw data table is big The tables of data of rice processing enterprise record rice data.
It should be noted that the rice raw data table is the data that each rice processing enterprises are used to record rice data Table, the rice data include but is not limited to the corresponding rice yield of each veriety rice, paddy usage amount and sample kind Rice milling yield can also include that data, the present embodiment such as yield and the scope of the enterprise of each rank rice are without restriction to this; The default Optimized model is the pre-set Optimized model for primary Calculation rice rice milling yield, be can be by largely counting According to the model that training obtains, it is also possible to the Optimized model that technical staff is arranged according to regular job experience, can also be certainly The Optimized model of determining rice rice milling yield, the present embodiment are without restriction to this by other means.
It is understood that the target data is by the rice data after preliminary screening, by by the number of targets According to being substituting in default Optimized model, the rice data can tentatively be optimized, it is corresponding to obtain each veriety rice Initial rice milling yield.
In the concrete realization, rice product can be divided into outstanding level-one, outstanding second level, outstanding three-level, general level-one, one As second level, general three-level have six ranks altogether, pass through and obtain the corresponding rice yield of each veriety rice different brackets and rice Paddy usage amount can calculate the rice milling yield of each veriety rice under the conditions of each scope of the enterprise.
Further, before the step S10, the rice rice milling yield calculation method is further comprising the steps of:
Total rice milling yield in the initial data of rice raw data table is obtained, according to total rice milling yield and default confidence level Confidence interval obtain error information;
The error information is deleted, the initial data after the error information will be deleted as target data.
It should be understood that always being gone out by obtaining total rice milling yield in rice raw data table in initial data with described Rice rate is foundation, presets the execution section of confidence level, screens to total rice milling yield, can screen out staff and fill in The human error data that the error generated when rice raw data table increases, the error information are presented as disease in practical applications State data can obtain target data after deleting the error information in the initial data, the default confidence level Confidence interval can be pre-set confidence interval, and the default confidence level can be the ratio obtained by lot of experimental data The value of better suited fixation, is also possible to technical staff according to the preset value of routine work experience, it is general can will be described pre- Setting reliability is set as 0.1, is also possible to be set as other values, naturally it is also possible to be default confidence determining by other means Degree, the present embodiment are without restriction to this.
Step S20, the initial rice milling yield is updated in preset data interval model, it is corresponding obtains each veriety rice Rice milling yield standard section.
It should be noted that the preset data interval model is used to obtain the corresponding rice out of rice milling yield to be pre-set The model in rate standard section can be the model obtained by mass data training, be also possible to technical staff according to daily behaviour The model for making experience setting can also be that model determining by other means, the present embodiment are without restriction to this certainly;It is logical It crosses and the initial rice milling yield is updated in preset data interval model, the corresponding rice milling yield mark of each veriety rice can be obtained Quasi- section, so that the further screening for rice milling yield is prepared.
Step S30, rice milling yield of the initial rice milling yield not in rice milling yield standard section is screened out, will be sieved Rice milling yield after removing is as second order rice milling yield.
It, will no longer institute it is understood that screened by rice milling yield standard section to the initial rice milling yield The rice milling yield stated in rice milling yield standard section is screened out, and remaining rice milling yield is to go out rice in rice milling yield standard section Rate, using these rice milling yield as second order rice milling yield.
In the concrete realization, since the difference of rice processing enterprises leads to the difference of rice data under the conditions of of the same race, meeting Lead to the parameter of Systematic Errors data, it is therefore necessary to control this error information that can influence final rice rate The rejecting of range is rejected the data for exceeding controlled range, is sieved to the rice milling yield not in rice milling yield standard section It removes.
Step S40, the second order rice milling yield is substituting in the default Optimized model, it is corresponding obtains each veriety rice Target rice milling yield, using the target rice milling yield as final rice rice milling yield.
It should be understood that obtaining described two after rice milling yield standard section further screens out rice milling yield The second order rice milling yield is substituting in the default Optimized model by rank rice milling yield, can obtain going out after screening error The corresponding target rice milling yield of the corresponding each veriety rice of rice rate, i.e., the corresponding final rice rice milling yield of each veriety rice, institute Stating final rice rice milling yield is accurate rice rice milling yield.
The present embodiment through the above scheme, passes through the corresponding number of targets of veriety rice each in acquisition rice raw data table According to, the target data is substituting in default Optimized model, the corresponding initial rice milling yield of each veriety rice is obtained, it is described big Rice raw data table is the tables of data that rice processing enterprises record rice data;The initial rice milling yield is updated to preset data In interval model, each veriety rice corresponding rice milling yield standard section is obtained;By the initial rice milling yield not in the rice out Rice milling yield in rate standard section is screened out, using the rice milling yield after screening out as second order rice milling yield;By the second order rice milling yield It is substituting in default Optimized model, the corresponding target rice milling yield of each veriety rice is obtained, using the target rice milling yield as most Whole rice rice milling yield, reduces human error, avoids the case where error information causes rice rice milling yield to be distorted, reduces survey The workload for measuring rice rice milling yield saves rice rice milling yield and calculates the time, improves the accuracy of rice rice milling yield, improve User experience.
Further, Fig. 3 is the flow diagram of rice rice milling yield calculation method second embodiment of the present invention, such as Fig. 3 institute Show, rice rice milling yield calculation method second embodiment of the present invention, in the present embodiment, the step are proposed based on first embodiment S10 specifically includes the following steps:
Step S11, obtain the corresponding rice yield of each veriety rice in rice raw data table, paddy usage amount and Sample kind rice milling yield.
It is understood that the rice raw data table is the data that each rice processing enterprises are used to record rice data Table, the rice data include but is not limited to the corresponding rice yield of each veriety rice, paddy usage amount and sample kind Rice milling yield can also include that data, the present embodiment such as yield and the scope of the enterprise of each rank rice are without restriction to this.
Step S12, the rice yield, paddy usage amount and sample kind rice milling yield are substituting to default Optimized model In, obtain the corresponding initial rice milling yield of each veriety rice.
It is understood that the rice yield, paddy usage amount and sample kind rice milling yield are substituting to preset it is excellent Change in model, by the calculating of the default Optimized model, the corresponding initial rice milling yield of each veriety rice can be obtained.
Further, the step S12 specifically includes the following steps:
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, passed through Following formula obtains the corresponding initial rice milling yield of each veriety rice:
Wherein, Q1For initial rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, AijFor i-th of enterprise's sample The rice yield of j-th of kind, qjFor the sample kind rice milling yield of j-th of kind, wherein qj> 0, RiFor i-th of enterprise's sample Paddy usage amount.
It should be understood that the rice yield, paddy usage amount and sample kind rice milling yield are substituting to preset it is excellent Change in model, by the difference relationship of the ratio and paddy usage amount of rice yield and sample kind rice milling yield, can obtain The corresponding initial rice milling yield of each veriety rice, i.e., it is corresponding just that the rice milling yield of different sample kinds corresponds to different cultivars rice Beginning rice milling yield can calculate each veriety after various sample kind rice milling yield are substituted into the default Optimized model accordingly The corresponding initial rice milling yield of rice.
The present embodiment through the above scheme, is gone out by the corresponding rice of veriety rice each in acquisition rice raw data table Yield, paddy usage amount and sample kind rice milling yield, by the rice yield, paddy usage amount and sample kind rice milling yield generation Enter into default Optimized model, obtain the corresponding initial rice milling yield of each veriety rice, obtains the corresponding mesh of each veriety rice Rice milling yield is marked, using the target rice milling yield as final rice rice milling yield, avoiding error information causes rice rice milling yield to be lost Genuine situation reduces the workload of measurement rice rice milling yield, saves rice rice milling yield and calculates the time, improves rice and go out rice The accuracy of rate, the user experience is improved.
Further, Fig. 4 is the flow diagram of rice rice milling yield calculation method 3rd embodiment of the present invention, such as Fig. 4 institute Show, rice rice milling yield calculation method 3rd embodiment of the present invention, in the present embodiment, the step are proposed based on second embodiment S20 specifically includes the following steps:
Step S21, the initial rice milling yield is updated in preset data interval model, according to the big of each veriety rice Rice yield determines the rice milling yield weight of each veriety rice, and is determined respectively according to the sample kind rice milling yield of each veriety rice The average rice milling yield of veriety rice.
It should be noted that the rice milling yield weight of each veriety rice, uses to calculate the rice milling yield of each veriety rice Different calculating weights, according to the rice yield of each veriety rice can determine each veriety rice rice milling yield weigh Weight carries out average computation by the sample kind rice milling yield to each veriety rice, can obtain being averaged for each veriety rice Rice milling yield.
In the concrete realization, outstanding level-one, outstanding second level, outstanding three-level, general level-one, general two are divided into rice product For grade, general three-level have six ranks altogether, going out for each veriety rice can be determined by the rice output of each grade rice Rice rate weight, such as the rice milling yield weight of outstanding grade can be αt=kt/(k1+k2+k3), t=1,2 ... n, wherein αtIt indicates Be t grade rice product rice milling yield weight, ktFor the rice output of the rice of different cultivars.
Step S22, it is obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield Obtain each veriety rice corresponding rice milling yield standard section.
It is understood that passing through the paddy usage amount, pre-set interval weight, the rice milling yield weight and described average Rice milling yield can obtain each veriety rice corresponding rice milling yield standard section, and the average rice milling yield is going out for each kind rice The average value of rice rate, rice milling yield standard section are the section for being screened to rice rice milling yield.
Further, the step S22 specifically includes the following steps:
It is obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield by following formula Obtain each veriety rice corresponding rice milling yield standard section:
Wherein, B is each veriety rice corresponding rice milling yield standard section, qavgFor the average rice milling yield, qavg=(q1 +q2+q3+...qj)/j, qjFor the sample kind rice milling yield of j-th of kind, α1、α2、α3For the rice milling yield weight, h1、h2、h3 For pre-set interval weight, R is paddy usage amount.
It should be understood that by by the paddy usage amount, pre-set interval weight, the rice milling yield weight and described flat Equal rice milling yield is substituting in preset data interval model, can be calculated and be obtained the corresponding rice milling yield standard regions of each veriety rice Between, different sample kind rice milling yield can obtain the rice milling yield standard section of different cultivars rice.
In the concrete realization, h1、h2、h3For pre-set interval weight, paddy usage amount R is to pass through the rice initial data Table obtains the corresponding paddy usage amount of each veriety rice, if being divided into outstanding level-one, outstanding second level, outstanding three with rice product For grade, general level-one, general second level, general three-level have six ranks altogether, then
Wherein hr(r=1,2,3),h1+h3=1 (h1>h3);
It, can be to the Systematic Errors in rice rice milling yield by the way that different rice corresponding rice milling yield standard sections is arranged Data are screened and are deleted, to ensure that the accuracy of rice rice milling yield, improve the precision of rice rice milling yield.
Further, the step S40 specifically includes the following steps:
The second order rice milling yield is substituting in the default Optimized model, in conjunction with the rice yield and the paddy Usage amount obtains the corresponding target rice milling yield of each veriety rice by following formula, using the target rice milling yield as final rice Rice milling yield:
Wherein, QmFor target rice milling yield, qeFor second order rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, Aij For the rice yield of i-th of enterprise's sample, j-th of kind, RiFor the paddy usage amount of i-th of enterprise's sample.
It is understood that by the way that the second order rice milling yield is substituting in the default Optimized model, by combining institute The rice yield and paddy usage amount in rice raw data table are stated, the corresponding target of each veriety rice can be obtained and go out rice Rate after further being screened out by rice milling yield standard section to rice milling yield, then is advanced optimized, can be obtained more Accurate rice rice milling yield avoids the inaccuracy of rice rice milling yield caused by Systematic Errors data.
The present embodiment through the above scheme, by the way that the initial rice milling yield is updated in preset data interval model, root The rice milling yield weight of each veriety rice is determined according to the rice yield of each veriety rice, and according to the sample of each veriety rice This kind rice milling yield determines the average rice milling yield of each veriety rice;According to paddy usage amount, pre-set interval weight, the rice out Rate weight and the average rice milling yield obtain each veriety rice corresponding rice milling yield standard section, eliminate Systematic Errors number According to the influence to rice rice milling yield, the case where error information causes rice rice milling yield to be distorted is avoided, measurement rice is reduced and goes out The workload of rice rate saves rice rice milling yield and calculates the time, improves the accuracy of rice rice milling yield, improve user's body It tests.
The present invention further provides a kind of rice rice milling yield computing systems.
It is the functional block diagram of rice rice milling yield computing system first embodiment of the present invention referring to Fig. 5, Fig. 5.
In rice rice milling yield computing system first embodiment of the present invention, which includes:
Optimization module 10 will be described for obtaining the corresponding target data of each veriety rice in rice raw data table Target data is substituting in default Optimized model, obtains the corresponding initial rice milling yield of each veriety rice, the rice original number It is the tables of data that rice processing enterprises record rice data according to table.
It should be noted that the rice raw data table is the data that each rice processing enterprises are used to record rice data Table, the rice data include but is not limited to the corresponding rice yield of each veriety rice, paddy usage amount and sample kind Rice milling yield can also include that data, the present embodiment such as yield and the scope of the enterprise of each rank rice are without restriction to this; The default Optimized model is the pre-set Optimized model for primary Calculation rice rice milling yield, be can be by largely counting According to the model that training obtains, it is also possible to the Optimized model that technical staff is arranged according to regular job experience, can also be certainly The Optimized model of determining rice rice milling yield, the present embodiment are without restriction to this by other means.
It is understood that the target data is by the rice data after preliminary screening, by by the number of targets According to being substituting in default Optimized model, the rice data can tentatively be optimized, it is corresponding to obtain each veriety rice Initial rice milling yield.
It should be understood that the target data can obtain in the following manner: obtaining the original of rice raw data table Total rice milling yield in beginning data obtains error information according to the confidence interval of total rice milling yield and default confidence level;Delete institute Error information is stated, the initial data after the error information will be deleted as target data.
By obtaining total rice milling yield in rice raw data table in initial data, using total rice milling yield as foundation, in advance The execution section of reliability is set, total rice milling yield is screened, staff can be screened out and filling in rice initial data The human error data that the error generated when table increases, the confidence interval of the default confidence level can be pre-set confidence Section, the default confidence level can be the value of the better suited fixation of ratio obtained by lot of experimental data, be also possible to skill Art personnel are general to set 0.1 for the default confidence level according to the preset value of routine work experience, are also possible to set It is set to other values, naturally it is also possible to be default confidence level determining by other means, the present embodiment is without restriction to this.
In the concrete realization, rice product can be divided into outstanding level-one, outstanding second level, outstanding three-level, general level-one, one As second level, general three-level have six ranks altogether, pass through and obtain the corresponding rice yield of each veriety rice different brackets and rice Paddy usage amount can calculate the rice milling yield of each veriety rice under the conditions of each scope of the enterprise.
Section determining module 20 obtains all kinds of for the initial rice milling yield to be updated in preset data interval model Kind rice corresponding rice milling yield standard section.
It should be noted that the preset data interval model is used to obtain the corresponding rice out of rice milling yield to be pre-set The model in rate standard section can be the model obtained by mass data training, be also possible to technical staff according to daily behaviour The model for making experience setting can also be that model determining by other means, the present embodiment are without restriction to this certainly;It is logical It crosses and the initial rice milling yield is updated in preset data interval model, the corresponding rice milling yield mark of each veriety rice can be obtained Quasi- section, so that the further screening for rice milling yield is prepared.
Screening module 30, for sieving rice milling yield of the initial rice milling yield not in rice milling yield standard section It removes, using the rice milling yield after screening out as second order rice milling yield.
It, will no longer institute it is understood that screened by rice milling yield standard section to the initial rice milling yield The rice milling yield stated in rice milling yield standard section is screened out, and remaining rice milling yield is to go out rice in rice milling yield standard section Rate, using these rice milling yield as second order rice milling yield.
In the concrete realization, since the difference of rice processing enterprises leads to the difference of rice data under the conditions of of the same race, meeting Lead to the parameter of Systematic Errors data, it is therefore necessary to control this error information that can influence final rice rate The rejecting of range is rejected the data for exceeding controlled range, is sieved to the rice milling yield not in rice milling yield standard section It removes.
Rice milling yield obtains module 40, for the second order rice milling yield to be substituting in the default Optimized model, obtains each The corresponding target rice milling yield of veriety rice, using the target rice milling yield as final rice rice milling yield.
It should be understood that obtaining described two after rice milling yield standard section further screens out rice milling yield The second order rice milling yield is substituting in the default Optimized model by rank rice milling yield, can obtain going out after screening error The corresponding target rice milling yield of the corresponding each veriety rice of rice rate, i.e., the corresponding final rice rice milling yield of each veriety rice, institute Stating final rice rice milling yield is accurate rice rice milling yield.
The present embodiment through the above scheme, passes through the corresponding number of targets of veriety rice each in acquisition rice raw data table According to, the target data is substituting in default Optimized model, the corresponding initial rice milling yield of each veriety rice is obtained, it is described big Rice raw data table is the tables of data that rice processing enterprises record rice data;The initial rice milling yield is updated to preset data In interval model, each veriety rice corresponding rice milling yield standard section is obtained;By the initial rice milling yield not in the rice out Rice milling yield in rate standard section is screened out, using the rice milling yield after screening out as second order rice milling yield;By the second order rice milling yield It is substituting in default Optimized model, the corresponding target rice milling yield of each veriety rice is obtained, using the target rice milling yield as most Whole rice rice milling yield, reduces human error, avoids the case where error information causes rice rice milling yield to be distorted, reduces survey The workload for measuring rice rice milling yield saves rice rice milling yield and calculates the time, improves the accuracy of rice rice milling yield, improve User experience.
In addition, the embodiment of the present invention also proposes a kind of storage medium, rice rice milling yield meter is stored on the storage medium Program is calculated, following operation is realized when the rice rice milling yield calculation procedure is executed by processor:
The corresponding target data of each veriety rice in rice raw data table is obtained, the target data is substituting to pre- If in Optimized model, obtaining the corresponding initial rice milling yield of each veriety rice, the rice raw data table is rice processing enterprise The tables of data of industry record rice data;
The initial rice milling yield is updated in preset data interval model, the corresponding rice milling yield of each veriety rice is obtained Standard section;
Rice milling yield of the initial rice milling yield not in rice milling yield standard section is screened out, going out after screening out Rice rate is as second order rice milling yield;
The second order rice milling yield is substituting in the default Optimized model, the corresponding target of each veriety rice is obtained and goes out Rice rate, using the target rice milling yield as final rice rice milling yield.
Further, following operation is also realized when the rice rice milling yield calculation procedure is executed by processor:
Obtain the corresponding rice yield of each veriety rice, paddy usage amount and sample kind in rice raw data table Rice milling yield;
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, obtained The corresponding initial rice milling yield of each veriety rice.
Further, following operation is also realized when the rice rice milling yield calculation procedure is executed by processor:
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, passed through Following formula obtains the corresponding initial rice milling yield of each veriety rice:
Wherein, Q1For initial rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, AijFor i-th of enterprise's sample The rice yield of j-th of kind, qjFor the sample kind rice milling yield of j-th of kind, wherein qj> 0, RiFor i-th of enterprise's sample Paddy usage amount.
Further, following operation is also realized when the rice rice milling yield calculation procedure is executed by processor:
The initial rice milling yield is updated in preset data interval model, according to the rice yield of each veriety rice It determines the rice milling yield weight of each veriety rice, and determines that each veriety is big according to the sample kind rice milling yield of each veriety rice The average rice milling yield of rice;
All kinds of product are obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield Kind rice corresponding rice milling yield standard section.
Further, following operation is also realized when the rice rice milling yield calculation procedure is executed by processor:
It is obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield by following formula Obtain each veriety rice corresponding rice milling yield standard section:
Wherein, B is each veriety rice corresponding rice milling yield standard section, qavgFor the average rice milling yield, qavg=(q1 +q2+q3+...qj)/3, qjFor the sample kind rice milling yield of j-th of kind, α1、α2、α3For the rice milling yield weight, h1、h2、h3 For pre-set interval weight, R is paddy usage amount.
Further, following operation is also realized when the rice rice milling yield calculation procedure is executed by processor:
The second order rice milling yield is substituting in the default Optimized model, in conjunction with the rice yield and the paddy Usage amount obtains the corresponding target rice milling yield of each veriety rice by following formula, using the target rice milling yield as final rice Rice milling yield:
Wherein, QmFor target rice milling yield, qeFor second order rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, Aij For the rice yield of i-th of enterprise's sample, j-th of kind, RiFor the paddy usage amount of i-th of enterprise's sample.
Further, following operation is also realized when the rice rice milling yield calculation procedure is executed by processor:
Total rice milling yield in the initial data of rice raw data table is obtained, according to total rice milling yield and default confidence level Confidence interval obtain error information;
The error information is deleted, the initial data after the error information will be deleted as target data.
The present embodiment through the above scheme, passes through the corresponding number of targets of veriety rice each in acquisition rice raw data table According to, the target data is substituting in default Optimized model, the corresponding initial rice milling yield of each veriety rice is obtained, it is described big Rice raw data table is the tables of data that rice processing enterprises record rice data;The initial rice milling yield is updated to preset data In interval model, each veriety rice corresponding rice milling yield standard section is obtained;By the initial rice milling yield not in the rice out Rice milling yield in rate standard section is screened out, using the rice milling yield after screening out as second order rice milling yield;By the second order rice milling yield It is substituting in default Optimized model, the corresponding target rice milling yield of each veriety rice is obtained, using the target rice milling yield as most Whole rice rice milling yield, reduces human error, avoids the case where error information causes rice rice milling yield to be distorted, reduces survey The workload for measuring rice rice milling yield saves rice rice milling yield and calculates the time, improves the accuracy of rice rice milling yield, improve User experience.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills Art field, is included within the scope of the present invention.

Claims (10)

1. a kind of rice rice milling yield calculation method, which is characterized in that the rice rice milling yield calculation method includes:
Obtain the corresponding target data of each veriety rice in rice raw data table, the target data is substituting to preset it is excellent Change in model, obtain the corresponding initial rice milling yield of each veriety rice, the rice raw data table is rice processing enterprises note Record the tables of data of rice data;
The initial rice milling yield is updated in preset data interval model, the corresponding rice milling yield standard of each veriety rice is obtained Section;
Rice milling yield of the initial rice milling yield not in rice milling yield standard section is screened out, by the rice milling yield after screening out As second order rice milling yield;
The second order rice milling yield is substituting in the default Optimized model, the corresponding target of each veriety rice is obtained and goes out rice Rate, using the target rice milling yield as final rice rice milling yield.
2. rice rice milling yield calculation method as described in claim 1, which is characterized in that in the acquisition rice raw data table The corresponding target data of each veriety rice, the target data is substituting in default Optimized model, it is big to obtain each veriety The corresponding initial rice milling yield of rice, specifically includes:
It obtains the corresponding rice yield of each veriety rice, paddy usage amount and sample kind in rice raw data table and goes out rice Rate;
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, obtained all kinds of The corresponding initial rice milling yield of kind rice.
3. rice rice milling yield calculation method as claimed in claim 2, which is characterized in that described by the rice yield, rice Paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, obtain the corresponding initial rice out of each veriety rice Rate specifically includes:
The rice yield, paddy usage amount and sample kind rice milling yield are substituting in default Optimized model, following formula is passed through Obtain the corresponding initial rice milling yield of each veriety rice:
Wherein, Q1For initial rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, AijFor i-th of enterprise's sample jth The rice yield of a kind, qjFor the sample kind rice milling yield of j-th of kind, wherein qj> 0, RiFor i-th enterprise's sample Paddy usage amount.
4. rice rice milling yield calculation method as claimed in claim 3, which is characterized in that described to substitute into the initial rice milling yield Into preset data interval model, each veriety rice corresponding rice milling yield standard section is obtained, is specifically included:
The initial rice milling yield is updated in preset data interval model, is determined according to the rice yield of each veriety rice The rice milling yield weight of each veriety rice, and each veriety rice is determined according to the sample kind rice milling yield of each veriety rice Average rice milling yield;
It is big that each veriety is obtained according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield Rice corresponding rice milling yield standard section.
5. rice rice milling yield calculation method as claimed in claim 4, which is characterized in that it is described according to paddy usage amount, it is default Interval weight, the rice milling yield weight and the average rice milling yield obtain each veriety rice corresponding rice milling yield standard section, It specifically includes:
It is obtained respectively according to paddy usage amount, pre-set interval weight, the rice milling yield weight and the average rice milling yield by following formula Veriety rice corresponding rice milling yield standard section:
Wherein, B is each veriety rice corresponding rice milling yield standard section, qavgFor the average rice milling yield, qavg=(q1+q2+ q3+...qj)/j, qjFor the sample kind rice milling yield of j-th of kind, α1、α2、α3For the rice milling yield weight, h1、h2、h3It is pre- If interval weight, R is paddy usage amount.
6. rice rice milling yield calculation method as claimed in claim 5, which is characterized in that described to substitute into the second order rice milling yield To in the default Optimized model, the corresponding target rice milling yield of each veriety rice is obtained, using the target rice milling yield as most Whole rice rice milling yield, specifically includes:
The second order rice milling yield is substituting in the default Optimized model, is used in conjunction with the rice yield and the paddy Amount obtains the corresponding target rice milling yield of each veriety rice by following formula, goes out rice using the target rice milling yield as final rice Rate:
Wherein, QmFor target rice milling yield, qeFor second order rice milling yield, s is enterprise's sample total amount, and n is rice variety sum, AijIt is i-th The rice yield of a j-th of kind of enterprise's sample, RiFor the paddy usage amount of i-th of enterprise's sample.
7. such as rice rice milling yield calculation method of any of claims 1-6, which is characterized in that the acquisition rice is former The corresponding target data of each veriety rice, the target data is substituting in default Optimized model in beginning tables of data, is obtained Before the corresponding initial rice milling yield of each veriety rice, the rice rice milling yield calculation method further include:
Total rice milling yield in the initial data of rice raw data table is obtained, according to setting for total rice milling yield and default confidence level Believe that section obtains error information;
The error information is deleted, the initial data after the error information will be deleted as target data.
8. a kind of rice rice milling yield computing system, which is characterized in that the rice rice milling yield computing system includes:
Optimization module, for obtaining the corresponding target data of each veriety rice in rice raw data table, by the number of targets According to being substituting in default Optimized model, the corresponding initial rice milling yield of each veriety rice is obtained, the rice raw data table is The tables of data of rice processing enterprises record rice data;
It is big to obtain each veriety for the initial rice milling yield to be updated in preset data interval model for section determining module Rice corresponding rice milling yield standard section;
Screening module will for screening out rice milling yield of the initial rice milling yield not in rice milling yield standard section Rice milling yield after screening out is as second order rice milling yield;
Rice milling yield obtains module and obtains each veriety for the second order rice milling yield to be substituting in the default Optimized model The corresponding target rice milling yield of rice, using the target rice milling yield as final rice rice milling yield.
9. a kind of server, which is characterized in that the server includes: memory, processor and is stored on the memory And the rice rice milling yield calculation procedure that can be run on the processor, the rice rice milling yield calculation procedure be arranged for carrying out as Described in any one of claims 1 to 7 the step of rice rice milling yield calculation method.
10. a kind of storage medium, which is characterized in that rice rice milling yield calculation procedure is stored on the storage medium, it is described big Rice rice milling yield calculation procedure realizes that the rice rice milling yield as described in any one of claims 1 to 7 calculates when being executed by processor The step of method.
CN201811021963.4A 2018-09-03 2018-09-03 Rice yield calculating method, system, server and storage medium Active CN109299427B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811021963.4A CN109299427B (en) 2018-09-03 2018-09-03 Rice yield calculating method, system, server and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811021963.4A CN109299427B (en) 2018-09-03 2018-09-03 Rice yield calculating method, system, server and storage medium

Publications (2)

Publication Number Publication Date
CN109299427A true CN109299427A (en) 2019-02-01
CN109299427B CN109299427B (en) 2023-08-01

Family

ID=65166148

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811021963.4A Active CN109299427B (en) 2018-09-03 2018-09-03 Rice yield calculating method, system, server and storage medium

Country Status (1)

Country Link
CN (1) CN109299427B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109821596A (en) * 2019-02-25 2019-05-31 吉林省三稻梁农业科技有限公司 A kind of novel rice Rice processing system and control method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050234691A1 (en) * 2004-04-20 2005-10-20 Singh Ramesh P Crop yield prediction
WO2011102520A1 (en) * 2010-02-22 2011-08-25 株式会社パスコ Method of generating paddy rice crop yield forecasting model, and method of forecasting crop yield of paddy rice
CN105954140A (en) * 2016-05-06 2016-09-21 安徽贝通智能科技有限公司 Automatic determination method for paddy rice yield rate
CN106980768A (en) * 2017-04-05 2017-07-25 武汉轻工大学 Paddy rice processing and treating method, device and the production technology of paddy rice
AU2020102107A4 (en) * 2020-09-02 2020-10-08 Sichuan Agricultural University A method of characterizing rice population quality

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050234691A1 (en) * 2004-04-20 2005-10-20 Singh Ramesh P Crop yield prediction
WO2011102520A1 (en) * 2010-02-22 2011-08-25 株式会社パスコ Method of generating paddy rice crop yield forecasting model, and method of forecasting crop yield of paddy rice
CN105954140A (en) * 2016-05-06 2016-09-21 安徽贝通智能科技有限公司 Automatic determination method for paddy rice yield rate
CN106980768A (en) * 2017-04-05 2017-07-25 武汉轻工大学 Paddy rice processing and treating method, device and the production technology of paddy rice
AU2020102107A4 (en) * 2020-09-02 2020-10-08 Sichuan Agricultural University A method of characterizing rice population quality

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
李美琴等: "国内外稻谷出糙率、出米率和整精米率测定方法的比较研究及相关国际标准修订", 《粮食与饲料工业》 *
金增辉等: "稻谷应出米率数学模型的建立及其方法的研究", 《武汉工业学院学报》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109821596A (en) * 2019-02-25 2019-05-31 吉林省三稻梁农业科技有限公司 A kind of novel rice Rice processing system and control method

Also Published As

Publication number Publication date
CN109299427B (en) 2023-08-01

Similar Documents

Publication Publication Date Title
CN104834731B (en) A kind of recommended method and device from media information
CN108345958A (en) A kind of order goes out to eat time prediction model construction, prediction technique, model and device
CN109800807A (en) The training method and classification method and device of sorter network, electronic equipment
CN104050197B (en) A kind of information retrieval system evaluating method and device
CN109740036B (en) Hotel ordering method and device for OTA platform
CN106803799A (en) A kind of performance test methods and device
CN108804459A (en) Data query method and device
CN109583721A (en) A kind of appraisal procedure of channel, device and electronic equipment
CN111998918A (en) Error correction method, error correction device and flow sensing system
CN107038492A (en) Daily Order volume Forecasting Methodology and device based on Arma models
CN113554213A (en) Natural gas demand prediction method, system, storage medium and equipment
CN105956159A (en) Algorithm for evaluating comprehensive efficiency of objective method of image quality
CN108255788A (en) A kind of method and device for the confidence level for assessing data
CN109299427A (en) Rice rice milling yield calculation method, system, server and storage medium
CN110991761A (en) Heat supply load prediction method and device
CN111009303A (en) Method and device for automatically adjusting amount of exercise, computer equipment and storage medium
CN117193502B (en) E-bidding host power state analysis method based on machine learning
CN110232130A (en) Metadata management pedigree generation method, device, computer equipment and storage medium
CN112101675B (en) Method, device, equipment and medium for measuring resource allocation reasonableness based on KL divergence
CN108564237A (en) A kind of Capacity Evaluation Model method for building up, capacity evaluating method and device
Dong et al. Recalculating the agricultural labor force in china
CN108805597B (en) Model construction method and device and data report generation method and device
CN109636437A (en) Cell average price predictor method, electronic device and storage medium
JP7380699B2 (en) Analyzer and program
CN108710987A (en) Attribute decision making method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant