CN106203834A - A kind of pig farm doses information management system and method - Google Patents
A kind of pig farm doses information management system and method Download PDFInfo
- Publication number
- CN106203834A CN106203834A CN201610543189.8A CN201610543189A CN106203834A CN 106203834 A CN106203834 A CN 106203834A CN 201610543189 A CN201610543189 A CN 201610543189A CN 106203834 A CN106203834 A CN 106203834A
- Authority
- CN
- China
- Prior art keywords
- data
- doses
- pig farm
- module
- pig
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention discloses a kind of pig farm doses information management system and method, this system includes that basic data input module, basic database, doses data acquisition module, data summarization decision analysis module, decision support module, abnormal data analyze module；If pig farm doses field data is not in the monitoring range of pig farm doses reference data, then decision support module pig farm doses field data is fed back to abnormal data analyze module be analyzed process；Abnormal data is analyzed module and is judged the not abnormal data in the doses reference data monitoring range of pig farm, if the doses field data becoming greatly suddenly or diminishing that abnormal data is erroneous input, then ignore, if the doses field data that abnormal data is normal input, then this abnormal data is tested repeatedly, confirm that pig grows more preferably under this abnormal data doses, then using this abnormal data as pig farm doses reference data, adjust nursing scheme in time.The present invention can formulate relevant nursing scheme more efficiently.
Description
Technical field
The present invention relates to domestic animal cultural technique field, be specifically related to a kind of pig farm doses information management system and method.
Background technology
Along with the development of intensive boar, informationalized management is required more and more higher, the height of informationalized degree
Being largely fixed the height of labor efficiency and the height of operating cost, it is about boar that market also has some products
Doses is fed, but the technical field in terms of major part Dou Shi automatization, and main emphasis is the nursing of automatization, and not
It is collection and the KXG of analysis feeding data.
Function in terms of what prior art mainly stressed is automatization, although can accomplish precisely to feed, but precisely count
Where come according to decision-making？And these part feed intake data are not specifically to be categorized into the different types of pig of links in actual pig farm
In Qun, major part is drawn by experience, or traditional data acquisition is analyzed drawing, but traditional data
It is not enough that collection also exists accuracy, and real-time is not enough, and analytic statistics bothers, the shortcomings such as efficiency is low.As can be seen here, prior art is also
There is certain deficiency.
Summary of the invention
In view of this, in order to solve above-mentioned technical problem, the present invention propose a kind of pig farm doses information management system and
Method, mainly stresses the Data acquisition and issuance of areas of information technology, can pass through the handheld terminal number the most at any time to feeding
According to being acquired.
The present invention solves the problems referred to above by techniques below means:
A kind of pig farm doses information management system, including basic data input module, basic database, doses data acquisition
Module, data summarization decision analysis module, decision support module, abnormal data analyze module；
Described data summarization decision analysis module is propped up with described doses data acquisition module, basic database, decision-making respectively
Holding module to connect, described abnormal data analyzes module respectively with described decision support module, described basic data input module even
Connecing, described basic data input module is connected with described basic database；
Described basic data input module inputs pig farm doses reference data for user；
Described basic database is used for storing pig farm doses reference data；
Described doses data acquisition module is used for obtaining in real time and accurately pig farm doses field data every day；
Described data summarization decision analysis module is for comparing field data with reference data, and show that data are divided
Analysis result；
Described decision support module, for generating scheduling controlling instruction according to data results, is come pig farm doses on-the-spot
Data are controlled；
If pig farm doses field data is not in the monitoring range of pig farm doses reference data, the most described decision support module
Described pig farm doses field data feeds back to abnormal data analysis module be analyzed processing；
If pig farm doses field data is in the monitoring range of pig farm doses reference data, the most described decision support module pair
Tested pig indicates by inspection, and pig farm doses field data is stored；
Described abnormal data is analyzed module and is used for judging the not abnormal data in the doses reference data monitoring range of pig farm,
If the doses field data becoming greatly suddenly or diminishing that abnormal data is erroneous input, then ignore, if abnormal data
For the doses field data of normal input, then this abnormal data is tested repeatedly, confirm pig under this abnormal data doses
Grow more preferably, then using this abnormal data as pig farm doses reference data, adjust nursing scheme in time.
Preferably, pig farm doses field data pig farm doses reference data up and down 50% threshold value outside be erroneous input
Abnormal data.
Further, described pig farm doses reference data includes that column home is arranged, swinery is arranged, sky section in age is arranged, feedstuff sets
Put, remark information.
Further, described doses data acquisition module includes data input module, data continuity judge module, data
Integrity judge module, described data continuity judge module judges mould with described data input module, data integrity respectively
Block connects；
Described data input module inputs in real time and accurately pig farm doses field data every day for user；
Described data continuity judge module is the most continuous for judging the pig farm doses field data inputted, and is to continue
Continue and carry out down flow process, otherwise re-enter；
Described data integrity judge module, for judging that the pig farm doses field data inputted is the most complete, is to continue
Continue and carry out down flow process, otherwise occur whether information " is rerecorded ", be to re-enter, otherwise terminate input.
Further, described doses data acquisition module is handheld terminal, and described handheld terminal is mobile phone or panel computer.
Further, described data summarization decision analysis module can obtain following data after carrying out various dimensions Macro or mass analysis: plants
Pig feed amount data sheet, pig farm doses summary sheet-by unit, pig farm doses summary sheet-by period, boar doses--period of pregnancy is bright
Carefully, boar doses--age of sucking is detailed, boar doses--doses before wean child care Seedling listing, and boar doses--plant the pig farm child care phase
Detail, swinery doses-by type and sky age.
Further, the information management module being connected with described doses data acquisition module, described information management are also included
Module, for preserving pig farm doses field data, is capable of retrieval, inquiry for the most saved data message.
Further, also include analyzing the expert database that module is connected, described expert database with described abnormal data
The expert's tutorial message pre-set for preservation；
Also including the expert info search module being connected with described expert database, described expert info search module is used for
Searching request according to user's input obtains corresponding expert's tutorial message from described expert database.
A kind of pig farm doses approaches to IM, comprises the steps:
S1, obtain in real time and accurately pig farm doses field data every day；
S2, the reference data of pig farm doses field data with storage is compared, and draw data results；
S3, according to data results generate scheduling controlling instruction, pig farm doses field data is controlled；
If pig farm doses field data is not in the monitoring range of pig farm doses reference data, then described pig farm doses is existing
Field data is analyzed processing；
If pig farm doses field data is in the monitoring range of pig farm doses reference data, then tested pig is indicated by inspection
Test, and pig farm doses field data is stored；
S4, the judgement not abnormal data in the doses reference data monitoring range of pig farm, if abnormal data is erroneous input
Become suddenly doses field data that is big or that diminish, then ignore, if the doses that abnormal data is normal input is on-the-spot
Data, then test this abnormal data repeatedly, confirms that pig grows more preferably under this abnormal data doses, then this is abnormal
Data, as pig farm doses reference data, adjust nursing scheme in time.
Further, when carrying out step S4 is tested abnormal data repeatedly, also include obtaining from expert database
Take corresponding expert's tutorial message to carry out experiment instruction.
Compared with prior art, beneficial effects of the present invention is as follows:
1), current app related development technology is used to gather typing real time data, convenient and swift；
2), data can be gathered more accurately, it is not necessary to amended record afterwards, it is ensured that the accuracy of data；
3), can more efficiently formulate relevant nursing scheme, distinguish traditional-handwork manual analysis, by decision analysis mould
Block can quickly realize.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, in embodiment being described below required for make
Accompanying drawing be briefly described, it should be apparent that, below describe in accompanying drawing be only some embodiments of the present invention, for
From the point of view of those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other according to these accompanying drawings
Accompanying drawing.
Fig. 1 is the block diagram of pig farm of the present invention doses information management system；
Fig. 2 is pig farm of the present invention doses information management system embodiment 1 block diagram；
Fig. 3 is the doses data collecting module collected data flowchart of the present invention；
Fig. 4 is pig farm of the present invention doses information management system embodiment 2 block diagram；
Fig. 5 is pig farm of the present invention doses approaches to IM flow chart.
Detailed description of the invention
Understandable for enabling the above-mentioned purpose of the present invention, feature and advantage to become apparent from, below in conjunction with accompanying drawing with concrete
Embodiment technical scheme is described in detail.It is pointed out that described embodiment is only this
Bright a part of embodiment rather than whole embodiments, based on the embodiment in the present invention, those of ordinary skill in the art are not having
Have and make the every other embodiment obtained under creative work premise, broadly fall into the scope of protection of the invention.
Embodiment 1
As shown in Figure 1, Figure 2, Figure 3 shows, a kind of pig farm doses information management system, including basic data input module, basis
Data base, doses data acquisition module, data summarization decision analysis module, decision support module, abnormal data analyze module；
Described data summarization decision analysis module is propped up with described doses data acquisition module, basic database, decision-making respectively
Holding module to connect, described abnormal data analyzes module respectively with described decision support module, described basic data input module even
Connecing, described basic data input module is connected with described basic database；
Described basic data input module inputs pig farm doses reference data for user；
Described basic database is used for storing pig farm doses reference data；
Described pig farm doses reference data includes that column home is arranged, swinery is arranged, sky section in age is arranged, feedstuff is arranged, remarks letter
Breath etc..Reference data be sub-divided into each swinery of each column home each day age section concrete forage volume, more careful statistics
The nursing situation corresponding with analysis, in order to preferably make rational decision-making；
Described doses data acquisition module is used for obtaining in real time and accurately pig farm doses field data every day；
Described doses data acquisition module is handheld terminal, and described handheld terminal is mobile phone or panel computer；
The handheld terminal such as mobile phone or panel computer can be passed through, in real time and the feed data of accurate recording every day；
Described doses data acquisition module includes that data input module, data continuity judge module, data integrity are sentenced
Disconnected module, described data continuity judge module is connected with described data input module, data integrity judge module respectively；
Described data input module inputs in real time and accurately pig farm doses field data every day for user；
Described data continuity judge module is the most continuous for judging the pig farm doses field data inputted, and is to continue
Continue and carry out down flow process, otherwise re-enter；
Described data integrity judge module, for judging that the pig farm doses field data inputted is the most complete, is to continue
Continue and carry out down flow process, otherwise occur whether information " is rerecorded ", be to re-enter, otherwise terminate input；
As it is shown on figure 3, the data inputting of doses be each swinery according to each column home every day each day age section number
According to carrying out typing, calculate average doses according to current amount of livestock on hand and the description fed intake, for avoiding the omission of data to lack, increase
Add successional judgement, limit the necessary typing continuously of data, also increase integrity and judge, be to proceed down flow process, no
Then occur whether information " is rerecorded ", be to re-enter, otherwise terminate input；
Described data summarization decision analysis module is for comparing field data with reference data, and show that data are divided
Analysis result；
The data gathered are carried out the Macro or mass analysis of various dimensions, different analyses can be realized according to different demands, and
Time rapid, provide maximum to support for decision data module, data summarization decision analysis module can after carrying out various dimensions Macro or mass analysis
Following data: boar doses data sheet, pig farm doses summary sheet-by unit, pig farm doses summary sheet-by period, boar
Doses before wean child care Seedling listing that doses--period of pregnancy is detailed, boar doses--age of sucking is detailed, boar doses--, plants pig feed
Amount--it is detailed to plant the pig farm child care phase, swinery doses-by type and sky age；
Described decision support module, for generating scheduling controlling instruction according to data results, is come pig farm doses on-the-spot
Data are controlled；
If pig farm doses field data is not in the monitoring range of pig farm doses reference data, the most described decision support module
Described pig farm doses field data feeds back to abnormal data analysis module be analyzed processing；
If pig farm doses field data is in the monitoring range of pig farm doses reference data, the most described decision support module pair
Tested pig indicates by inspection, and pig farm doses field data is stored；
Described abnormal data is analyzed module and is used for judging the not abnormal data in the doses reference data monitoring range of pig farm,
If the doses field data becoming greatly suddenly or diminishing that abnormal data is erroneous input, then ignore, if abnormal data
For the doses field data of normal input, then this abnormal data is tested repeatedly, confirm pig under this abnormal data doses
Grow more preferably, then using this abnormal data as pig farm doses reference data, adjust nursing scheme in time；
Preferably, pig farm doses field data pig farm doses reference data up and down 50% threshold value outside be erroneous input
Abnormal data.
Embodiment 2
As shown in Figure 4, on the basis of embodiment 1, also include the message tube being connected with described doses data acquisition module
Reason module, described information management module is for preserving pig farm doses field data, for the most saved data message
It is capable of retrieval, inquiry；
Also including analyzing the expert database that is connected of module with described abnormal data, described expert database is used for preserving pre-
The expert's tutorial message first arranged；
Also including the expert info search module being connected with described expert database, described expert info search module is used for
Searching request according to user's input obtains corresponding expert's tutorial message from described expert database.
Embodiment 3
As it is shown in figure 5, a kind of pig farm doses approaches to IM, comprise the steps:
S1, obtain in real time and accurately pig farm doses field data every day；
S2, the reference data of pig farm doses field data with storage is compared, and draw data results；
S3, according to data results generate scheduling controlling instruction, pig farm doses field data is controlled；
If pig farm doses field data is not in the monitoring range of pig farm doses reference data, then described pig farm doses is existing
Field data is analyzed processing；
If pig farm doses field data is in the monitoring range of pig farm doses reference data, then tested pig is indicated by inspection
Test, and pig farm doses field data is stored；
S4, the judgement not abnormal data in the doses reference data monitoring range of pig farm, if abnormal data is erroneous input
Become suddenly doses field data that is big or that diminish, then ignore, if the doses that abnormal data is normal input is on-the-spot
Data, then test this abnormal data repeatedly, confirms that pig grows more preferably under this abnormal data doses, then this is abnormal
Data, as pig farm doses reference data, adjust nursing scheme in time.
Further, when carrying out step S4 is tested abnormal data repeatedly, also include obtaining from expert database
Take corresponding expert's tutorial message to carry out experiment instruction.
Intensive pig production company in large scale, pig farm flow process relates to different types of pig, different pigs distributions and
Feature of searching for food is different, invention introduces the concept of column home, and the pig house that each is independent with pig farm is built as unit, every kind of swinery
The pig of type section in each day age all carries out the typing of feed consumption every day, different swinery types and sky section in age in units of column home and arranges
Corresponding hay varieties.Pre-set the parameters such as column home, swinery type, sky section in age, hay varieties.The each management in pig farm difference
Unit or the handheld terminal such as the hand-held panel computer/mobile phone of group leader, the swinery business day of the lower pig house of input linchpin every day
Phase, batch, hurdle conjunction, livestock on hand, hay varieties, feed consumption etc., by the every day of typing in real time, obtain the first-hand data of searching for food of swinery,
It is fabricated to the form of searching for food of section in age the most on the same day, dissimilar pig every day, is raised by raw data acquisition report data analysis
Fed mode checking forms dissimilar pig feeding standard doses.By making thorough investigation and study, each stage swinery of analysis feeds feature,
Set up complete set meet produce actual demand pig farm doses information management system, solve data acquisition accuracy and
Real-time, energy specification and the management of timely Instructing manufacture, provide relevant decision-making foundation for policymaker.
The present invention changes traditional centralized and unified report, and can monitor the change of data in real time and accurately.Pass through hands
All types of swinery doses data are carried out in real time being acquired the most at any time every day, solve hands by the hand-held terminal device such as machine and flat board
The centre of work statistical report form is time-consuming, improves work efficiency, not only also can improve data accurate in time by data feedback simultaneously
Property, solve the problem such as loaded down with trivial details, error-prone in manual statistic processes.
The present invention is that decision support is done by production management, by improving the Real-time Collection to data, can enter data in time
The data analysis that row is relevant, thus the foundation of decision support is provided for relevant Decision person；And be the spy of all kinds of swinery doses rule
Rope provides perfect data support.
The present invention data acquisition typing by handheld device, the ISO flow process formulated according to company realizes feeding process
Management；Ensureing the effectiveness of data, the feed to swinery doses is monitored；Realize the real-time of data, decision analysis mould
Block produces relevant Decision data and abnormal data automatically.Prior art scheme major part is only to rely on the record of Pc end data at present
Entering to gather, underaction, the promptness of data also can not be guaranteed, and the present invention can realize handheld terminal and arrive production environment,
The on-demand collection typing carrying out data, convenient, flexible.Handheld terminal and PC end data intercommunication, can mutually modify supplementary.
Compared with prior art, beneficial effects of the present invention is as follows:
1), current app related development technology is used to gather typing real time data, convenient and swift；
2), data can be gathered more accurately, it is not necessary to amended record afterwards, it is ensured that the accuracy of data；
3), can more efficiently formulate relevant nursing scheme, distinguish traditional-handwork manual analysis, by decision analysis mould
Block can quickly realize.
Embodiment described above only have expressed the several embodiments of the present invention, and it describes more concrete and detailed, but also
Therefore the restriction to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that, for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, it is also possible to make some deformation and improvement, these broadly fall into the guarantor of the present invention
Protect scope.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a pig farm doses information management system, it is characterised in that include basic data input module, basic database, material
Amount data acquisition module, data summarization decision analysis module, decision support module, abnormal data analyze module；
Described data summarization decision analysis module respectively with described doses data acquisition module, basic database, decision support mould
Block connects, and described abnormal data is analyzed module and is connected with described decision support module, described basic data input module respectively, institute
State basic data input module to be connected with described basic database；
Described basic data input module inputs pig farm doses reference data for user；
Described basic database is used for storing pig farm doses reference data；
Described doses data acquisition module is used for obtaining in real time and accurately pig farm doses field data every day；
Described data summarization decision analysis module is for comparing field data with reference data, and show that data analysis is tied
Really；
Described decision support module, for generating scheduling controlling instruction according to data results, is come pig farm doses field data
It is controlled；
If pig farm doses field data is not in the monitoring range of pig farm doses reference data, the most described decision support module is by institute
State pig farm doses field data feed back to abnormal data analyze module be analyzed process；
If pig farm doses field data is in the monitoring range of pig farm doses reference data, the most described decision support module is to tested
Pig indicates by inspection, and pig farm doses field data is stored；
Described abnormal data is analyzed module and is used for judging the not abnormal data in the doses reference data monitoring range of pig farm, if
Abnormal data is the doses field data becoming greatly suddenly or diminishing of erroneous input, then ignore, if abnormal data is just
Often the doses field data of input, then test this abnormal data repeatedly, confirms pig growth under this abnormal data doses
Obtain more preferably, then using this abnormal data as pig farm doses reference data, adjust nursing scheme in time.
Pig farm the most according to claim 1 doses information management system, it is characterised in that pig farm doses field data is pig
Doses reference data up and down 50% threshold value outside be the abnormal data of erroneous input.
Pig farm the most according to claim 1 doses information management system, it is characterised in that described pig farm doses reference data
Arrange including column home, swinery is arranged, sky section in age is arranged, feedstuff is arranged, remark information.
Pig farm the most according to claim 1 doses information management system, it is characterised in that described doses data acquisition module
Including data input module, data continuity judge module, data integrity judge module, described data continuity judge module
It is connected with described data input module, data integrity judge module respectively；
Described data input module inputs in real time and accurately pig farm doses field data every day for user；
Described data continuity judge module, for judging that the pig farm doses field data that inputted is the most continuous, is, continue into
Row down flow process, otherwise re-enters；
Described data integrity judge module, for judging that the pig farm doses field data that inputted is the most complete, is, continue into
Row down flow process, otherwise occurs whether information " is rerecorded ", is to re-enter, and otherwise terminates input.
Pig farm the most according to claim 1 doses information management system, it is characterised in that described doses data acquisition module
For handheld terminal, described handheld terminal is mobile phone or panel computer.
Pig farm the most according to claim 1 doses information management system, it is characterised in that described data summarization decision analysis
Module can obtain following data after carrying out various dimensions Macro or mass analysis: boar doses data sheet, and pig farm doses summary sheet-by unit,
Pig farm doses summary sheet-and by period, boar doses--period of pregnancy is detailed, and boar doses--age of sucking is detailed, boar doses--and disconnected
Doses before the listing of milk child care Seedling, boar doses--it is detailed to plant the pig farm child care phase, swinery doses-by type and sky age.
Pig farm the most according to claim 1 doses information management system, it is characterised in that also include and described doses data
The information management module that acquisition module connects, described information management module is for preserving pig farm doses field data, right
It is capable of retrieval, inquiry in the most saved data message.
Pig farm the most according to claim 1 doses information management system, it is characterised in that also include and described abnormal data
Analyzing the expert database that module connects, described expert database is for preserving the expert's tutorial message pre-set；
Also including the expert info search module being connected with described expert database, described expert info search module is used for basis
The searching request of user's input obtains corresponding expert's tutorial message from described expert database.
9. a pig farm doses approaches to IM, it is characterised in that comprise the steps:
S1, obtain in real time and accurately pig farm doses field data every day；
S2, the reference data of pig farm doses field data with storage is compared, and draw data results；
S3, according to data results generate scheduling controlling instruction, pig farm doses field data is controlled；
If pig farm doses field data is not in the monitoring range of pig farm doses reference data, then by doses scene, described pig farm number
According to being analyzed process；
If pig farm doses field data is in the monitoring range of pig farm doses reference data, then tested pig is indicated by inspection,
And pig farm doses field data is stored；
S4, the judgement not abnormal data in the doses reference data monitoring range of pig farm, if abnormal data is the prominent of erroneous input
So become doses field data that is big or that diminish, then ignore, if the doses field data that abnormal data is normal input,
Then this abnormal data is tested repeatedly, confirm that pig grows more preferably, then this abnormal data under this abnormal data doses
As pig farm doses reference data, adjust nursing scheme in time.
Pig farm the most according to claim 9 doses approaches to IM, it is characterised in that carry out in step S4 abnormal
When data are tested repeatedly, also include from expert database, obtaining corresponding expert's tutorial message to carry out experiment instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610543189.8A CN106203834A (en) | 2016-07-11 | 2016-07-11 | A kind of pig farm doses information management system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610543189.8A CN106203834A (en) | 2016-07-11 | 2016-07-11 | A kind of pig farm doses information management system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106203834A true CN106203834A (en) | 2016-12-07 |
Family
ID=57477621
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610543189.8A Pending CN106203834A (en) | 2016-07-11 | 2016-07-11 | A kind of pig farm doses information management system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106203834A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108733751A (en) * | 2018-04-09 | 2018-11-02 | 广东温氏食品集团股份有限公司 | Fat information monitoring system and method are surveyed in a kind of pig farm |
| CN109220882A (en) * | 2018-11-06 | 2019-01-18 | 广东广垦畜牧工程研究院有限公司 | A kind of commodity pig on scale field digitlization monitoring information application method and system |
| CN109920241A (en) * | 2019-02-22 | 2019-06-21 | 山东欧德利电气设备有限公司 | A kind of digital remote amount unidirectional transmission system |
| CN110348655A (en) * | 2018-04-06 | 2019-10-18 | 李孝文 | A method of being used for pig farm indigo plant otopathy economic evaluation (RSY) |
| CN112486949A (en) * | 2020-11-26 | 2021-03-12 | 上海奇博自动化科技有限公司 | Method for analyzing feed conversion ratio of cattle and sheep breeding |
| CN113973775A (en) * | 2021-10-29 | 2022-01-28 | 安徽工业大学科技园有限公司 | Automatic feed spreading method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005267284A (en) * | 2004-03-18 | 2005-09-29 | Nec Corp | Automatic collection support system for project management information and automatic collection support program for project management information |
| CN102647475A (en) * | 2012-04-18 | 2012-08-22 | 浙江大学 | Internet of things system and internet of things method for intellectualization of livestock farm |
| CN102760256A (en) * | 2011-04-25 | 2012-10-31 | 岳冬冬 | Self-adapting inventory early warning system based on simulation technology |
| CN105512949A (en) * | 2015-12-30 | 2016-04-20 | 福州微猪信息科技有限公司 | Culturing farm informationized management system based on social platform and method thereof |
-
2016
- 2016-07-11 CN CN201610543189.8A patent/CN106203834A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005267284A (en) * | 2004-03-18 | 2005-09-29 | Nec Corp | Automatic collection support system for project management information and automatic collection support program for project management information |
| CN102760256A (en) * | 2011-04-25 | 2012-10-31 | 岳冬冬 | Self-adapting inventory early warning system based on simulation technology |
| CN102647475A (en) * | 2012-04-18 | 2012-08-22 | 浙江大学 | Internet of things system and internet of things method for intellectualization of livestock farm |
| CN105512949A (en) * | 2015-12-30 | 2016-04-20 | 福州微猪信息科技有限公司 | Culturing farm informationized management system based on social platform and method thereof |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348655A (en) * | 2018-04-06 | 2019-10-18 | 李孝文 | A method of being used for pig farm indigo plant otopathy economic evaluation (RSY) |
| CN108733751A (en) * | 2018-04-09 | 2018-11-02 | 广东温氏食品集团股份有限公司 | Fat information monitoring system and method are surveyed in a kind of pig farm |
| CN109220882A (en) * | 2018-11-06 | 2019-01-18 | 广东广垦畜牧工程研究院有限公司 | A kind of commodity pig on scale field digitlization monitoring information application method and system |
| CN109920241A (en) * | 2019-02-22 | 2019-06-21 | 山东欧德利电气设备有限公司 | A kind of digital remote amount unidirectional transmission system |
| CN112486949A (en) * | 2020-11-26 | 2021-03-12 | 上海奇博自动化科技有限公司 | Method for analyzing feed conversion ratio of cattle and sheep breeding |
| CN113973775A (en) * | 2021-10-29 | 2022-01-28 | 安徽工业大学科技园有限公司 | Automatic feed spreading method |
| CN113973775B (en) * | 2021-10-29 | 2022-12-27 | 安徽工业大学科技园有限公司 | Automatic feed spreading method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106203834A (en) | A kind of pig farm doses information management system and method | |
| Antle et al. | Next generation agricultural system data, models and knowledge products: Introduction | |
| Macciotta et al. | The mathematical description of lactation curves in dairy cattle | |
| Bewley | Precision dairy farming: Advanced analysis solutions for future profitability | |
| CN105512949A (en) | Culturing farm informationized management system based on social platform and method thereof | |
| Sharma et al. | A review of production frontier analysis for aquaculture management | |
| CN102550438A (en) | Internet of cows | |
| Gouttenoire et al. | Modelling as a tool to redesign livestock farming systems: a literature review | |
| Lin et al. | Intelligent greenhouse system based on remote sensing images and machine learning promotes the efficiency of agricultural economic growth | |
| CN109583793A (en) | A kind of farm's intellectualized management system and method based on two dimensional code task navigation | |
| CN114895731A (en) | Breeding monitoring system and method based on digital twins | |
| CN110692068A (en) | Skill information processing system, method and device | |
| CN108733751A (en) | Fat information monitoring system and method are surveyed in a kind of pig farm | |
| Paunova-Hubenova et al. | Smart Solutions for Control and Management in Livestock Farms | |
| La Madrid et al. | Real-Time Water Quality Monitoring System with Predictor for Tilapia Pond | |
| Wu et al. | Development of fruit grading system based on image recognition | |
| CN108566416A (en) | A kind of tea place intelligent monitor system based on Internet of Things | |
| Rozakis et al. | Estimating utility functions of Greek dairy sheep farmers: A multicriteria mathematical programming approach | |
| CN106875059A (en) | A kind of method that Itanlian rye yield and quality is predicted according to plant height and tiller | |
| Shahin et al. | Multi-objective Decision Support Tool for Sustainable Livestock Farming | |
| Zang et al. | RETRACTED ARTICLE: The design and experiment of peanut high-throughput automatic seed testing system based on machine learning | |
| CN112034912A (en) | Greenhouse crop disease control method based on real-time feedback | |
| CN112036397A (en) | Embedded cucumber leaf image recognition device based on deep learning | |
| CN103645107A (en) | Bombyx mori silkworm cocoon optimization detection method and system | |
| Sun et al. | Machine Vision Based Phenotype Recognition of Plant and Animal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 527400 9 East Causeway North Road, Xinxing County new town, Yunfu, Guangdong Applicant after: Winson food group Limited by Share Ltd Address before: 527400 9 East Causeway North Road, Xinxing County new town, Yunfu, Guangdong Applicant before: Guangdong Wens Foodstuff Group Co., Ltd. |