CN112989090B - Intelligent acquisition method and device for cattle and sheep fermented feed production and processing data - Google Patents
Intelligent acquisition method and device for cattle and sheep fermented feed production and processing data Download PDFInfo
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Abstract
The application discloses a method and a device for intelligently acquiring cattle and sheep fermented feed production and processing data, wherein the method comprises the following steps: acquiring a first photo obtained by photographing a raw material; obtaining a second photo obtained by photographing the leavening agent; acquiring time information of the first picture and the second picture and information of the geographical positions of the first picture and the second picture; acquiring meteorological conditions of the geographical position for a preset time length from the time information; obtaining information on the raw material from the first photograph and information on the starter from the second photograph; production information required for fermentation of the raw material is determined based on the information on the raw material and the information on the fermentation agent and the weather conditions. The problem that a raiser is difficult to prepare the fermented feed by himself due to the fact that a plurality of factors need to be considered for preparing the fermented feed are solved, the quality of the raised raiser for preparing the fermented feed is improved to a certain degree, and the difficulty of preparing the fermented feed is reduced.
Description
Technical Field
The application relates to the field of feed production, in particular to a method and a device for intelligently acquiring cattle and sheep fermented feed production and processing data.
Background
The fermented feed is a feed product which is prepared by carrying out aerobic or anaerobic fermentation on feed raw materials such as soybean meal, peanut meal, green grass, straws, dregs and the like according to certain formula requirements by using a leavening agent under certain temperature, humidity and ventilation conditions, and has good palatability, rich mycoprotein content, no toxicity and no harm.
The rumen of ruminants such as cattle and sheep is rich in microorganisms and ciliates, which are the main reason why ruminants digest forage with high fiber content. After the feed raw materials are subjected to microbial fermentation, the content of antinutritional factors in the feed raw materials can be reduced, the digestibility and absorptivity of ruminants such as cattle, sheep and the like can be obviously improved, the gastrointestinal health is promoted, and the feed is beneficial to the health and growth of the ruminants.
The ruminant breeders generally produce fermented feed by themselves, and the leavening agents used in the fermentation process may be self-made leavening agents or purchased leavening agents, and the types of the fermented raw materials are different. Therefore, the production methods of fermented feed are various, and different leavening agents and raw materials with fermentation are used by breeders according to different seasons, which all require considerable experience of breeders to master the fermentation time and fermentation conditions. Brings great difficulty for the raisers to prepare the fermented feed by themselves.
Disclosure of Invention
The embodiment of the application provides an intelligent acquisition method and device for cattle and sheep fermented feed production and processing data, and the problem that a feeder is difficult to make fermented feed by himself due to the fact that a plurality of factors need to be considered for making fermented feed is at least solved.
According to one aspect of the application, an intelligent data acquisition method for cattle and sheep fermented feed production and processing is provided, which comprises the following steps: acquiring a first photo obtained by photographing a raw material, wherein the raw material is a raw material to be fermented for producing cattle and sheep feed; obtaining a second photo obtained by photographing the leavening agent; acquiring time information of the first picture and the second picture and information of geographic positions of the first picture and the second picture; acquiring meteorological conditions of the geographic position for a preset time length from the time information; obtaining information on the raw material from the first photograph and information on the starter culture from the second photograph; determining production information required for fermentation of the raw material based on the information on the raw material and the information on the fermentation agent and the weather conditions.
Further, the method further comprises: and sending the production information to a mobile terminal of a feeder.
Further, the production information includes at least one of: length of fermentation time, fermentation temperature, and fermentation humidity.
Further, the acquiring the time information of the first picture and the second picture and the information of the geographical location of the first picture and the second picture comprises: and acquiring the time information and the information of the geographic position from the information carried by the first photo and the second photo.
According to an aspect of the application, a cattle and sheep fermented feed production processing data intelligent acquisition device is provided, include: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a first photo obtained by photographing a raw material, and the raw material is a raw material to be fermented for producing cattle and sheep feed; the second acquisition module is used for acquiring a second photo obtained by photographing the leavening agent; the third acquisition module is used for acquiring the time information of the first photo and the second photo and the information of the geographic positions of the first photo and the second photo; a fourth obtaining module, configured to obtain a weather condition of the geographic location for a predetermined duration from the time information; a fifth acquiring module, configured to acquire information about the raw material from the first photo and acquire information about the fermentation agent from the second photo; and the determining module is used for determining production information required by the fermentation of the raw materials according to the information of the raw materials, the information of the leavening agent and the meteorological conditions.
Further, the method also comprises the following steps: and the sending module is used for sending the production information to the mobile terminal of the feeder.
Further, the production information includes at least one of: length of fermentation time, fermentation temperature, fermentation humidity.
Further, the third obtaining module is configured to obtain the time information and the information of the geographic location from the information carried by the first photo and the information carried by the second photo.
According to another aspect of the application, there is also provided a processor for executing software for performing the above method.
According to another aspect of the application, there is also provided a memory for storing software for performing the above method.
In the embodiment of the application, a first photo obtained by photographing a raw material is adopted, wherein the raw material is a raw material to be fermented for producing cattle and sheep feed; obtaining a second photo obtained by photographing the leavening agent; acquiring time information of the first photo and the second photo and information of geographic positions of the first photo and the second photo; acquiring meteorological conditions of the geographic position for a preset time from the time information; obtaining information on the raw material from the first photograph and information on the starter culture from the second photograph; determining production information required for fermentation of the raw material based on the information on the raw material and the information on the fermentation agent and the weather conditions. The problem that a raiser is difficult to prepare the fermented feed by himself due to the fact that a plurality of factors need to be considered for preparing the fermented feed are solved, the quality of the raised raiser for preparing the fermented feed is improved to a certain degree, and the difficulty of preparing the fermented feed is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flow chart of a method for intelligently acquiring cattle and sheep fermented feed production and processing data according to an embodiment of the application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than here.
The embodiment provides an intelligent acquisition method for cattle and sheep fermented feed production and processing data, fig. 1 is a flow chart of the intelligent acquisition method for cattle and sheep fermented feed production and processing data according to the embodiment of the application, and as shown in fig. 1, the flow comprises the following steps:
step S102, acquiring a first photo obtained by photographing a raw material, wherein the raw material is a raw material to be fermented for producing cattle and sheep feed;
step S104, obtaining a second picture obtained by photographing the leavening agent;
as an optional embodiment that can be added, if the leaven is purchased, a picture of the product package of the leaven is taken. If the leaven is prepared by itself, a photo of the leaven itself is taken.
Step S106, acquiring the time information of the first picture and the second picture and the information of the geographical positions of the first picture and the second picture;
as an optional embodiment, if the first photo and the second photo are taken at different times and the difference time is less than 24 hours, any one of the taking times of the first photo and the second photo is selected as the time information in this step. And if the geographical positions of the first picture and the second picture are different, sending confirmation information to a mobile terminal of the breeder, wherein the confirmation information is used for asking the breeder to confirm the geographical position of the feed fermentation. After receiving the geographical position sent by the breeder, using the geographical position sent by the breeder as the information of the geographical position in the step. And if the geographical position sent by the feeder is not received, judging the temperature of the time information in the two geographical positions, and selecting the information of the geographical position with low temperature as the basis for the judgment of the subsequent steps.
Step S108, acquiring meteorological conditions of the geographic position for a preset time from the time information;
step S110, obtaining the information of the raw material from the first picture, and obtaining the information of the leavening agent from the second picture;
as an added embodiment, a first model may be trained to identify information about raw materials. The first model is a machine learning model that may be trained using an open source picture recognition model. The first model is obtained by training a plurality of groups of training data, each group of training data comprises a picture including a plant and a label, and the label is used for identifying the name of the plant. After the training of the first model is finished, the first model can be used. Inputting the first photograph into the first model, the first model outputting the type of the raw material.
In the case where multiple raw materials are present in the first photograph, the first model may output multiple labels. The output tag is searched in a database, and the database stores the mode that the plant marked by the tag needs to be processed when being used as a raw material. For example, corn leaves need to be cut into strips of 4 to 6 cm in size and kept dry. And then, sending the obtained processing mode to the client of the feeder. For each identified raw material, the processing mode is searched and sent to the client of the breeder.
Firstly, characters are recognized from the second photo by using character recognition, a database is searched according to the recognized characters, and if the characters can be searched, the searched information of the leavening agent is used, wherein the information of a plurality of leavening agents is stored in the database. And inputting the second picture into a second model for recognition if characters cannot be recognized from the second picture or information of the leavening agent cannot be searched from a database. The second model is also a machine learning model that is trained using a plurality of sets of second training data. Each set of second training data comprises a picture including a starter and a label for identifying the name of the starter. After the training of the second model is finished, the second model can be used. Inputting the second picture into the second model, the second model outputting the name of the leavening agent. The longevity is retrieved in the database.
And step S112, determining production information required for fermenting the raw materials according to the information of the raw materials, the information of the leavening agent and the meteorological conditions.
Before the step, the server provides a page for uploading the fermentation mode through a client on the mobile terminal. The server receives the uploaded information of the fermentation mode through the mobile client, and extracts raw materials, a fermentation agent, and the fermentation duration, temperature and humidity from the uploaded information. And the server sends the extracted information to a client on a mobile terminal of a technician, and after the confirmation of the fermentation mode by the technician is obtained, the information of the fermentation mode is stored in the database. And after the data are stored, acquiring a network address for uploading the information of the fermentation mode, determining the geographical position of the network address according to the network address, and determining the time point for uploading the fermentation mode according to the geographical position. The time point is taken as the end point of the first time range, and the time point obtained by subtracting the fermentation time length from the time point is taken as the starting point of the first time range. Obtaining the weather conditions of the geographical position in the first time range, establishing the corresponding relation between the weather conditions of the first time range and the uploaded fermentation mode, and storing the corresponding relation and the weather conditions of the geographical position in the first time range in the database. The information stored in the database is used as production information.
Where a retrieval is made from the database.
In step S112, the information of the raw material, the information of the fermentation agent, and the weather condition are retrieved from the database, and if the information of the raw material, the information of the fermentation agent, and the weather condition are not retrieved, the weather condition is removed, and the information of the raw material and the information of the fermentation agent are retrieved from the database. If the information of the leavening agent is not searched, searching other leavening agents with the same property as the leavening agent information according to the leavening agent information, using the raw material information and the information of the other leavening agents, and if the information is searched, extracting the content in the database as production information and transmitting the production information.
The steps are carried out at the server side. The application scenes of the method can be a client and a mobile phone end, wherein the client can be an application or software installed on the mobile terminal, and the client can also be a browser. The breeder can take the first picture and the second picture by using a camera on the mobile terminal. If the browser is used, the shot photos can be uploaded to the computer, and then the first photos and the second photos are uploaded to the server through the browser of the computer.
The method solves the problem that the fermented feed is difficult to be prepared by a raiser due to a plurality of factors needing to be considered for preparing the fermented feed, improves the quality of the fermented feed prepared by the raiser to a certain extent and reduces the difficulty of preparing the fermented feed
Preferably, the method further comprises: and sending the production information to a mobile terminal of a feeder.
Preferably, the production information comprises at least one of: length of fermentation time, fermentation temperature, fermentation humidity.
Preferably, the acquiring the time information of the first photo and the second photo taking and the information of the geographical location of the first photo and the second photo taking comprises: and acquiring the time information and the information of the geographic position from the information carried by the first photo and the second photo.
As another preferred implementation, after the production information is sent to the mobile terminal, the mobile terminal sends the production information to a processor in the fermentation room. The temperature and humidity transducer in the fermentation room are connected to the treater, the treater is followed temperature sensor acquires the temperature, follows humidity transducer acquires humidity. And the processor compares the acquired temperature and humidity with the temperature and humidity in the production information, and if the difference value between the acquired temperature or humidity and the temperature or humidity of the production information exceeds a threshold value, the processor sends alarm information to the mobile terminal. The processor is also connected with a timer, and under the condition that the time counted by the timer reaches the fermentation time length of the production information, the processor sends indication information of successful fermentation to the mobile terminal.
In this embodiment, an electronic device is provided, comprising a memory in which a computer program is stored and a processor arranged to run the computer program to perform the method in the above embodiments.
The above procedure can also be understood as a device for intelligently collecting the production and processing data of the fermented feed for cattle and sheep, and the modules in the device correspond to the steps of the method, which have already been explained and are not described herein again. The device comprises: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a first photo obtained by photographing a raw material, and the raw material is a raw material to be fermented for producing cattle and sheep feed; the second acquisition module is used for acquiring a second photo obtained by photographing the leavening agent; the third acquisition module is used for acquiring the time information of the first photo and the second photo and the information of the geographic positions of the first photo and the second photo; a fourth obtaining module, configured to obtain a weather condition of the geographic location for a predetermined duration from the time information; a fifth acquiring module, configured to acquire information about the raw material from the first photo and acquire information about the fermentation agent from the second photo; and the determining module is used for determining production information required by the fermentation of the raw materials according to the information of the raw materials, the information of the leavening agent and the meteorological conditions.
Preferably, the method further comprises the following steps: and the sending module is used for sending the production information to the mobile terminal of the feeder.
Preferably, the production information comprises at least one of: length of fermentation time, fermentation temperature, and fermentation humidity.
Preferably, the third obtaining module is configured to obtain the time information and the information of the geographic location from information carried by the first photo and the second photo.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (4)
1. An intelligent acquisition method for cattle and sheep fermented feed production and processing data is characterized by comprising the following steps:
acquiring a first photo obtained by photographing a raw material, wherein the raw material is a raw material to be fermented for producing cattle and sheep feed;
obtaining a second photo obtained by photographing the leavening agent;
acquiring time information of the first photo and the second photo and information of geographic positions of the first photo and the second photo;
acquiring meteorological conditions of the geographic position for a preset time length from the time information;
obtaining information on the raw material from the first photograph and information on the starter culture from the second photograph;
determining production information required for fermentation of the raw material based on the information on the raw material and the information on the fermentation agent and the weather conditions; before the step, the server provides a page for uploading the fermentation mode through a client on the mobile terminal, receives the information of the uploaded fermentation mode through the mobile client, and extracts raw materials, a leavening agent, the fermentation duration, the temperature and the humidity from the uploaded information; the server sends the extracted information to a client on a mobile terminal of a technician, and after the confirmation of the technician on the fermentation mode is obtained, the information of the fermentation mode is stored in a database; after the data are stored, acquiring a network address for uploading the information of the fermentation mode, determining the geographical position of the network address according to the network address, and determining the time point for uploading the fermentation mode according to the geographical position; taking the time point as the end point of a first time range, and taking the time point obtained by subtracting the fermentation duration from the time point as the starting point of the first time range; and acquiring the weather conditions of the geographical position within the first time range, establishing a corresponding relation between the weather conditions within the first time range and the uploaded fermentation mode, storing the corresponding relation and the weather conditions of the geographical position within the first time range in the database, and taking the information stored in the database as production information.
2. The method of claim 1, wherein after determining the production information, the method further comprises:
and sending the production information to a mobile terminal of a feeder.
3. The method of claim 1, wherein the production information comprises at least one of:
length of fermentation time, fermentation temperature, fermentation humidity.
4. The method of any one of claims 1 to 3, wherein obtaining time information of the taking of the first and second photographs and information of the geographic locations of the taking of the first and second photographs comprises:
and acquiring the time information and the information of the geographic position from the information carried by the first photo and the second photo.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102559552A (en) * | 2012-01-09 | 2012-07-11 | 天津科技大学 | Production method and application of high-yield gamma-aminobutyric acid |
| CN204086151U (en) * | 2014-08-19 | 2015-01-07 | 中国农业科学院茶叶研究所 | A kind of fermentation of black tea appropriateness discriminating gear |
| CN108077975A (en) * | 2018-01-17 | 2018-05-29 | 苏州亮磊知识产权运营有限公司 | It is a kind of to adapt to feed production equipment and its method of work that different times are fed |
| CN108207298A (en) * | 2018-01-17 | 2018-06-29 | 苏州亮磊知识产权运营有限公司 | A kind of feed production equipment administered for water plant and its method of work |
| CN109495721A (en) * | 2018-11-28 | 2019-03-19 | 深圳市新潮智能储酒科技有限公司 | A kind of the cigar fermentation monitoring device and method of low-power consumption |
| CN110591848A (en) * | 2019-09-29 | 2019-12-20 | 浙江协同光电科技有限公司 | Domestic fine brewing beer machine and brewing beer method |
| CN212229688U (en) * | 2020-06-22 | 2020-12-25 | 厦门大学 | Bread fermentation volume monitoring system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103829272B (en) * | 2014-03-21 | 2016-03-30 | 黑龙江八一农垦大学 | A kind of preparation method of half-dried fermented beef ham |
| BR102014019054A2 (en) * | 2014-07-31 | 2017-10-31 | Líssia Ferri Perez | SUSTAINABLE BREWERY |
| GB2546507B (en) * | 2016-01-19 | 2022-03-02 | Kenwood Ltd | Food processing hub |
| CN110140775A (en) * | 2019-06-24 | 2019-08-20 | 九阳股份有限公司 | A kind of method of food processor production beans yogurt |
| CN110597881A (en) * | 2019-09-19 | 2019-12-20 | 山东浪潮人工智能研究院有限公司 | Beer brewing and selling method and system based on Internet of things |
| CN110583866A (en) * | 2019-10-10 | 2019-12-20 | 北京挑战农业科技有限公司 | High-dietary-fiber low-antigen-protein fermented soybean hull and preparation method thereof |
-
2021
- 2021-03-22 CN CN202110300540.1A patent/CN112989090B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102559552A (en) * | 2012-01-09 | 2012-07-11 | 天津科技大学 | Production method and application of high-yield gamma-aminobutyric acid |
| CN204086151U (en) * | 2014-08-19 | 2015-01-07 | 中国农业科学院茶叶研究所 | A kind of fermentation of black tea appropriateness discriminating gear |
| CN108077975A (en) * | 2018-01-17 | 2018-05-29 | 苏州亮磊知识产权运营有限公司 | It is a kind of to adapt to feed production equipment and its method of work that different times are fed |
| CN108207298A (en) * | 2018-01-17 | 2018-06-29 | 苏州亮磊知识产权运营有限公司 | A kind of feed production equipment administered for water plant and its method of work |
| CN109495721A (en) * | 2018-11-28 | 2019-03-19 | 深圳市新潮智能储酒科技有限公司 | A kind of the cigar fermentation monitoring device and method of low-power consumption |
| CN110591848A (en) * | 2019-09-29 | 2019-12-20 | 浙江协同光电科技有限公司 | Domestic fine brewing beer machine and brewing beer method |
| CN212229688U (en) * | 2020-06-22 | 2020-12-25 | 厦门大学 | Bread fermentation volume monitoring system |
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