CN109632058A - A kind of intelligent group rearing method for measuring weight, device, electronic equipment and storage medium of raising pigs - Google Patents
A kind of intelligent group rearing method for measuring weight, device, electronic equipment and storage medium of raising pigs Download PDFInfo
- Publication number
- CN109632058A CN109632058A CN201811525570.7A CN201811525570A CN109632058A CN 109632058 A CN109632058 A CN 109632058A CN 201811525570 A CN201811525570 A CN 201811525570A CN 109632058 A CN109632058 A CN 109632058A
- Authority
- CN
- China
- Prior art keywords
- pig
- group rearing
- column
- information
- weight
- 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
Links
- 230000000384 rearing effect Effects 0.000 title claims abstract description 201
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 241000282887 Suidae Species 0.000 title claims description 4
- 238000005303 weighing Methods 0.000 claims abstract description 38
- 230000037396 body weight Effects 0.000 claims abstract description 36
- 238000012549 training Methods 0.000 claims description 23
- 239000003651 drinking water Substances 0.000 claims description 13
- 235000020188 drinking water Nutrition 0.000 claims description 13
- 235000013305 food Nutrition 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 9
- 230000035622 drinking Effects 0.000 claims description 8
- 238000010801 machine learning Methods 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 8
- 238000002360 preparation method Methods 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 2
- 230000036544 posture Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000009434 installation Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003709 image segmentation Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 206010059410 Faecaluria Diseases 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003628 erosive effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G17/00—Apparatus for or methods of weighing material of special form or property
- G01G17/08—Apparatus for or methods of weighing material of special form or property for weighing livestock
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Biophysics (AREA)
- Animal Husbandry (AREA)
- Biodiversity & Conservation Biology (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Image Analysis (AREA)
Abstract
The present invention provides a kind of intelligence pig raising group rearing method for measuring weight, device, electronic equipment and storage medium, which comprises S1, obtain pending intelligent group rearing check weighing pig farm group rearing column image information;S2, according to the image information on group rearing column, obtain the image information of each pig in group rearing column;S3, the weight information of each pig in group rearing column is obtained using preset measured body weight model according to the image information of each pig in group rearing column;Wherein, the preset measured body weight model is obtained after image pattern input data and weight sample results data based on pig in group rearing column are trained.Intelligence pig raising group rearing method for measuring weight provided by the invention, can effectively solve the problems, such as to be weighed due to bring stress reaction in pig to shared on-ground weigher during existing pig raising because driving.
Description
Technical field
The present invention relates to field of computer technology, and in particular to a kind of intelligence pig raising group rearing method for measuring weight, device, electronics are set
Standby and storage medium.
Background technique
Currently, pig farm in the breeding process of pig, needs to obtain the weight of pig in the different stages of growth of pig
Information, to understand the growing state of pig in time.
For the weight check weighing of pig in group rearing column, in order to when reducing shared on-ground weigher check weighing as much as possible due to driving pig
Caused by stress reaction, be at present usually that a tableland scale is placed on the group rearing column of every pig for weighing, but such side
Formula causes on-ground weigher to shake, measurement data is unstable, sometimes the disadvantage is that higher cost, and since pig is walked up and down on on-ground weigher
Time can generate 10-20 kilograms of error.Further, since piggery enviroment is severe, on-ground weigher uses a period of time on pig farm, often due to
The reasons such as fecaluria erosion cause on-ground weigher to damage, to further increase replacement cost.
Summary of the invention
For the defects in the prior art, the present invention provides a kind of intelligence pig raising group rearing method for measuring weight, device, electronic equipment
And storage medium.
Specifically, the present invention the following technical schemes are provided:
In a first aspect, the present invention provides a kind of intelligence pig raising group rearing method for measuring weight, comprising:
The image information on the pig farm group rearing column of S1, the pending intelligent group rearing check weighing of acquisition;
S2, according to the image information on group rearing column, obtain the image information of each pig in group rearing column;
S3, it is obtained in group rearing column according to the image information of each pig in group rearing column using preset measured body weight model
The weight information of each pig;
Wherein, the preset measured body weight model is image pattern input data and weight based on pig in group rearing column
What sample results data obtained after being trained.
Further, before the S1, the method also includes:
S0, the preset measured body weight model is established.
Further, the S0 includes:
S01, prepare training sample data;The training sample data include in the pig farm of pending intelligent group rearing check weighing
The image data and weight data of pig in specified group rearing column;
S02, the training sample data based on preparation instruct original body mass measurement model based on the method for machine learning
Practice, obtains the preset measured body weight model.
Further, the S01 includes:
The weight of each pig in the group rearing column specified in the pig farm of pending intelligence group rearing check weighing described in taken at regular intervals
Information and image information, and the weight information acquired every time and image information composition data are stored in pairs to rear;
Correspondingly, the S02 includes:
It, will be corresponding using the image information of the data centering of the pig weight information and image information that collect as input
The weight information of data centering is trained original body mass measurement model based on the method for machine learning, obtains as output
The preset measured body weight model.
Further, every in the group rearing column specified in the pig farm of pending intelligence group rearing check weighing described in the taken at regular intervals
The weight information and image information of a pig, and by the weight information acquired every time and image information composition data to it is rear carry out at
To storage, comprising:
Carry out single pig multi-pose data acquisition in group rearing column;And carry out pig integrated location data acquisition in group rearing column;
Wherein, single pig multi-pose data acquisition in group rearing column is carried out, comprising:
Acquire image information and corresponding weight of the single pig during drinking water feeding under each posture in group rearing column
Information;Wherein, it is placed with the square on-ground weigher of preset quantity in group rearing column, is provided with Image Acquisition above each on-ground weigher and sets
Standby, each on-ground weigher is surrounded by fence, and a pig is put in each on-ground weigher, and crib, other side installation are installed in the side of each on-ground weigher
Sink, pig drinking-water are walked up and down on on-ground weigher when searching for food;
Wherein, pig integrated location data acquisition in group rearing column is carried out, comprising:
Acquire image information and corresponding weight information of the pig under integrated location in group rearing column;Wherein, group rearing column
Periphery predetermined position is provided with image capture device and ear tag identification equipment;The area Liang Ge is split up into using fence among group rearing column
Domain, crib are placed on a region, and sink is placed on another region, two electronics on-ground weighers of placement at centre-arm steering linkage, and two
A electronics on-ground weigher is respectively provided with unilateral gate, and one of on-ground weigher can only enter feeding area from drinking area, another on-ground weigher can only be from adopting
Food area enters drinking area, and pig drinking-water is walked up and down on two on-ground weighers when searching for food, and each pig in group rearing column is worn
For indicating the ear tag of identity information.
Further, the S1 includes:
Using the fixed image capture device being mounted on above crib or sink or utilize slide rail type image capture device
Obtain the image information on the pig farm group rearing column of pending intelligent group rearing check weighing;Wherein, when needing to acquire pig in single group rearing column
Only image information when, using fixed image capture device;When needing to acquire the image information of pig in multiple group rearing columns,
Using slide rail type image capture device, wherein sliding rail is mounted on the top on the multiple group rearing columns in pig farm, and image capture device is in institute
It states and is slided on sliding rail, the image of pig in corresponding group rearing column is acquired when often sliding into corresponding group rearing column crib or sink top position
Information;The one or both ends of the sliding rail are equipped with charging storehouse, for acquiring equipment charge for described image;When described image is adopted
Collect equipment after sliding on the sliding rail, is back in the charging storehouse for be mounted on sliding rail one or both ends and charges.
Further, the method also includes:
S4, column counterpoise is obtained according to the pig quantity information in the weight information and group rearing column of each pig in group rearing column
Information;Wherein, when obtaining column counterpoise information, duplicate pig weight information is removed according to the identity information of pig.
Second aspect, the present invention also provides a kind of intelligence pig raising group rearing weight-measuring devices, comprising:
First obtains module, the image information on the pig farm group rearing column for obtaining pending intelligent group rearing check weighing;
Second obtains module, for the image information according to group rearing column, obtains the image information of each pig in group rearing column;
Check weighing module is obtained for the image information according to each pig in group rearing column using preset measured body weight model
Take the weight information of each pig in group rearing column;
Wherein, the preset measured body weight model is image pattern input data and weight based on pig in group rearing column
What sample results data obtained after being trained.
The third aspect, the present invention also provides a kind of electronic equipment, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, the processor realize intelligence as described in relation to the first aspect when executing described program
The step of pig raising group rearing method for measuring weight.
Fourth aspect, the present invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, should
The step of intelligence pig raising group rearing method for measuring weight as described in relation to the first aspect is realized when computer program is executed by processor.
By prior art scheme it is found that intelligence pig raising group rearing method for measuring weight provided by the invention, obtains pending intelligence first
The image information on the pig farm group rearing column of energy group rearing check weighing obtains each in group rearing column then according to the image information on group rearing column
The image information of pig is finally obtained according to the image information of each pig in group rearing column using preset measured body weight model
The weight information of each pig in group rearing column;Wherein, the preset measured body weight model is the figure based on pig in group rearing column
What decent input data and weight sample results data obtained after being trained.As it can be seen that intelligence pig raising group provided by the invention
Support method for measuring weight, overcome in existing way using on-ground weigher carry out check weighing various drawbacks, especially because driving check weighing caused by
Stress reaction, the present invention solve the pain spot during tradition pig raising, and realizing stress not check weighing.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 is the flow chart for the intelligence pig raising group rearing method for measuring weight that one embodiment of the invention provides;
Fig. 2 is the model training stage list pig multi-pose data acquisition modes schematic diagram that one embodiment of the invention provides;
Fig. 3 is the model training stage pig integrated location data acquisition modes schematic diagram that one embodiment of the invention provides;
Fig. 4 is the fixed image capture device being located above crib the model application stage that one embodiment of the invention provides
Setting schematic diagram;
Fig. 5 is the fixed image capture device being located above sink the model application stage that one embodiment of the invention provides
Setting schematic diagram;
Fig. 6 is that the slide rail type Image Acquisition being located above group rearing column the model application stage that one embodiment of the invention provides is set
Standby setting schematic diagram;
Fig. 7 be another embodiment of the present invention provides intelligence pig raising group rearing weight-measuring device structural schematic diagram;
Fig. 8 is the structural schematic diagram for the electronic equipment that further embodiment of this invention provides.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
One embodiment of the invention provides a kind of intelligence pig raising group rearing method for measuring weight, and referring to Fig. 1, this method includes following step
It is rapid:
Step 101: obtaining the image information on the pig farm group rearing column of pending intelligent group rearing check weighing.
In this step, due to using the method according to pig weight in group rearing column pig image prediction group rearing column,
It here include the figure of pig in group rearing column in the image information on group rearing column therefore, it is necessary to first obtain the image information on group rearing column
As information.
Step 102: according to the image information on group rearing column, obtaining the image information of each pig in group rearing column.
In this step, the image information on group rearing column is handled, such as uses image segmentation algorithm, obtain group rearing column
The image information of interior each pig.
Step 103: group is obtained using preset measured body weight model according to the image information of each pig in group rearing column
Support the weight information of each pig in column;
Wherein, the preset measured body weight model is image pattern input data and weight based on pig in group rearing column
What sample results data obtained after being trained.
In this step, by the image information of each pig in group rearing column, it is input to preparatory trained measured body weight mould
Type obtains the weight information of each pig in group rearing column.
By prior art scheme it is found that intelligence pig raising group rearing method for measuring weight provided in this embodiment, obtains pending first
The image information on the pig farm group rearing column of intelligent group rearing check weighing obtains every in group rearing column then according to the image information on group rearing column
The image information of a pig is finally obtained according to the image information of each pig in group rearing column using preset measured body weight model
Take the weight information of each pig in group rearing column;Wherein, the preset measured body weight model is based on pig in group rearing column
What image pattern input data and weight sample results data obtained after being trained.As it can be seen that intelligence provided in this embodiment is supported
Swinery supports method for measuring weight, according to pig image information you can learn that pig weight information, uses to overcome in existing way
On-ground weigher carries out the various drawbacks (time-consuming and laborious, inefficiency, indeterminacy generate stress reaction etc.) of check weighing, especially because driving
Stress reaction caused by check weighing, it is seen then that the present embodiment solve tradition pig raising during pain spot, realize stress not check weighing,
Market significance and realistic meaning with higher.
Content based on the above embodiment, in a kind of optional embodiment, before the step 101, the method
Further include:
Step 100: establishing the preset measured body weight model.
In the present embodiment, the intelligence pig raising group rearing method for measuring weight further comprises the mistake for establishing measured body weight model
Journey.
Content based on the above embodiment, in a kind of optional embodiment, the step 100 includes:
Step 100a: prepare training sample data;The training sample data include supporting for pending intelligent group rearing check weighing
Designated group supports the image data and weight data of pig in column in pig farm;
Step 100b: the training sample data based on preparation, based on the method for machine learning to original body mass measurement model
It is trained, obtains the preset measured body weight model.
In the present embodiment, when establishing measured body weight model, first prepare training sample data, the number of training
According to the image data and weight data for including the pig in the feeding column of designated group in same pig farm, both data are needed into
The training sample of preparation will be then based on corresponding to the weight information of pig when acquiring the width image to appearance namely piece image
Data are trained original body mass measurement model using the method for machine learning, after accuracy meets preset requirement
To the preset measured body weight model.
It should be noted that CNN can be used here when the method based on machine learning is trained initial model
Or RNN carries out model learning and training.
Content based on the above embodiment, in a kind of optional embodiment, the step 100a specifically can be by following
Mode is realized:
The weight of each pig in the group rearing column specified in the pig farm of pending intelligence group rearing check weighing described in taken at regular intervals
Information and image information, and the weight information acquired every time and image information composition data are stored in pairs to rear;
Correspondingly, the step 100b can specifically be realized by following mode:
It, will be corresponding using the image information of the data centering of the pig weight information and image information that collect as input
The weight information of data centering is trained original body mass measurement model based on the method for machine learning, obtains as output
The preset measured body weight model.
Content based on the above embodiment, in a kind of optional embodiment, pending intelligence described in the taken at regular intervals
The weight information and image information of each pig in the group rearing column specified in the pig farm of group rearing check weighing, and the body that will be acquired every time
Weight information and image information composition data are stored in pairs to rear, comprising:
Carry out single pig multi-pose data acquisition in group rearing column;And carry out pig integrated location data acquisition in group rearing column;
Wherein, single pig multi-pose data acquisition in group rearing column is carried out, comprising:
Acquire image information and corresponding weight of the single pig during drinking water feeding under each posture in group rearing column
Information;Wherein, it is placed with the square on-ground weigher of preset quantity in group rearing column, is provided with Image Acquisition above each on-ground weigher and sets
Standby, each on-ground weigher is surrounded by fence, and a pig is put in each on-ground weigher, and crib, other side installation are installed in the side of each on-ground weigher
Sink, pig drinking-water are walked up and down on on-ground weigher when searching for food;
Wherein, pig integrated location data acquisition in group rearing column is carried out, comprising:
Acquire image information and corresponding weight information of the pig under integrated location in group rearing column;Wherein, group rearing column
Periphery predetermined position is provided with image capture device and ear tag identification equipment;The area Liang Ge is split up into using fence among group rearing column
Domain, crib are placed on a region, and sink is placed on another region, two electronics on-ground weighers of placement at centre-arm steering linkage, and two
A electronics on-ground weigher is respectively provided with unilateral gate, and one of on-ground weigher can only enter feeding area from drinking area, another on-ground weigher can only be from adopting
Food area enters drinking area, and pig drinking-water is walked up and down on two on-ground weighers when searching for food, and each pig in group rearing column is worn
For indicating the ear tag of identity information.
In the present embodiment, above-mentioned steps 100 actually belong to model training stage, and at this stage, main purpose is
Data are acquired, model training is used for.In the present embodiment, data acquisition includes both sides content, is on the one hand that single pig is more
On the other hand attitude data acquisition is the acquisition of integrated location data.It should be noted that colourful for the single pig on the one hand mentioned
State data acquisition, it is therefore an objective to acquire the more as far as possible image in a free state of single pig in group rearing environment;And on the other hand
The integrated location data acquisition mentioned, it is therefore an objective to acquire image of the pig under practical group rearing application scenarios;Two kinds of data acquisitions are comprehensive
Altogether, richer, the data of closer actual scene can be collected, thus can help to establish more accurate model.
Specifically, single pig multi-pose data are acquired, main purpose is that acquisition pig is moveing freely situation as far as possible
Under each posture video, image data, including walk in the case of moveing freely as far as possible pose presentation data, drinking-water when posture
Pose presentation data when image data and feeding.When it is implemented, isolating one piece of region in group rearing column, put in region
Setting certain amount, square on-ground weigher, each on-ground weigher are surrounded by fence as shown in Figure 2, install crib, the other side in on-ground weigher side
Sink is installed, pig drinking-water is walked up and down when searching for food, convenient for acquiring richer image data.A pig is put in each on-ground weigher,
Acquire within 24 hours the pig video, image information.It is equipped with data acquisition software system, is fully automated whole collection process,
Without human intervention.Data acquisition equipment positioned at on-ground weigher overcentre is fixed image capture device scheme, slide rail type figure
As acquisition equipment scheme provides a part of modeling data.It should be noted that the longitudinal direction in Fig. 2 positioned at on-ground weigher crib upper side is stretched
Contracting data acquisition equipment array can obtain the image of crib upper side with stretch mode.
Specifically, integrated location data are acquired, main purpose be each posture video under the practical group rearing scene of acquisition,
Image data, needs suitable number of group rearing column, does certain transformation to group rearing column, is split up into two with fence among group rearing column
Crib is placed on a region by region, and sink is placed on another region, and two electronics on-ground weighers are placed at centre-arm steering linkage
(two electronics on-ground weighers up and down in such as Fig. 3).Ear tag is worn to acquisition pig and does certain label at pig back.Data are equipped with to adopt
Collect software systems, be fully automated whole collection process, is not necessarily to human intervention.Scene is acquired after transformation as shown in figure 3, wherein
Two electronics on-ground weighers are respectively provided with unilateral gate, i.e., one of on-ground weigher can only enter feeding area from drinking area, another on-ground weigher can only
Enter drinking area from feeding area.Image data acquisition equipment is installed indicating suitable position above number.Indicating capitalization
Top suitable position installs tracing equipment, auxiliary data acquisition.Individual identification is installed indicating suitable position near lowercase
Data acquisition equipment.Equipment auxiliary data acquisition is read in crib and electronics on-ground weigher suitable position installation ear tag, in crib ear tag
It reads and isolation facility is installed around equipment, guarantee that each reading equipment is not interfere with each other.
It should be noted that passing through both above data acquisition modes, it is ensured that pig is expert in capable of sufficiently acquiring
Image information under various postures and the corresponding weight information such as walk, drink water, searching for food, to provide enough for model training
Sample data, and then by these sample datas to model training after, model can be made to can adapt under various scenes
Pig pose presentation.
Content based on the above embodiment, in a kind of optional embodiment, above-mentioned steps 101 can be real in the following way
It is existing:
Using the fixed image capture device (referring to fig. 4 with the collector in Fig. 5) being mounted on above crib or sink,
Or, using slide rail type image capture device obtain the pig farm group rearing column of pending intelligent group rearing check weighing image information (referring to
Collector in Fig. 6);
Wherein, when needing to acquire the image information of pig in single group rearing column, using fixed image capture device;When
When needing to acquire the image information of pig in multiple group rearing columns, using slide rail type image capture device;Wherein, sliding rail is mounted on feeding
The top on the multiple group rearing columns in pig farm, image capture device slide on the sliding rail, often slide into corresponding group rearing column crib or water
The image information of pig in corresponding group rearing column is acquired when slot top position;The one or both ends of the sliding rail are equipped with charging storehouse,
For acquiring equipment charge for described image;After described image acquisition equipment is slided on the sliding rail, it is back to installation
It charges in the charging storehouse of sliding rail one or both ends.
In the present embodiment, after the model training stage of above-mentioned steps 100, the model application stage is entered,
That is step 101 content that actually belongs to the model application stage.In the model application stage, will no longer be required to install ground for group rearing column
Scale, and the image information of pig in each group rearing column need to be only obtained, and then utilize the image information and trained mould obtained
Type can obtain the weight information of pig in corresponding group rearing column.
In the present embodiment, in the model application stage, the image due to needing to obtain pig in the group rearing column of pig farm is believed
Breath, therefore fixed image capture device (adopting in such as Fig. 4 and Fig. 5 can be installed above each or every group of sink or crib
Storage), acquire the image information during pig drinking-water or feeding.It should be noted that when needing to acquire in multiple group rearing columns
When the image information of pig, collector can be installed on the slide rail in a manner of as shown in FIG. 6, collector moves on the slide rail, and uses
In pig image in the different group rearing columns of acquisition.Wherein, the one or both ends of sliding rail are equipped with charging (Fig. 6 are respectively mounted with both ends in storehouse
Have and illustrate for charging storehouse), for acquiring equipment charge for described image, when described image acquisition equipment is in the sliding rail
After upper sliding, it is back in the charging storehouse for be mounted on sliding rail one or both ends and charges, to carry out sliding and figure next time
As acquisition.
It should be noted that carrying out data acquisition at sink or at crib, mainly from user's scene, generally
For, posture when posture is better than drinking-water when pig searches for food.Therefore for rectangle crib, it can be used and measured at crib position, but have
A little pig farms are using round crib, such situation, it is necessary to data acquisition is carried out at sink area.In addition, if for big face
The pig image on product group rearing column obtains scene or the pig image on multiple group rearing columns obtains scene, it is proposed that is adopted using slide rail type image
Collect equipment.
It should be noted that the stage of training pattern can be understood as the customization stage, in this stage, need to acquire body
Weight information and image information form data pair, and for being trained to model, and model training stage terminates namely customizes rank
After section, the model application stage is entered, namely enter the product promotion stage, in this stage, implemented for specific user
Propagable intelligence group rearing check weighing system, the data that important check weighing algorithm model is obtained from the system of customization in the system
And the model trained and obtained after optimizing.In the model application stage, do not need that on-ground weigher is installed for group rearing column again, it only need to be in group rearing
Fixed acquisition equipment (" collector " i.e. in Fig. 4 and Fig. 5) of installation above the sink or crib on column, or installed above group rearing column
Orbital image acquisition equipment (i.e. " collector " in Fig. 6) is then installed on sliding rail by track, is pacified in sliding rail one or both sides
Wireless charging storehouse is filled, and hardware device is accessed into distal end cloud platform.When work, orbital image acquires equipment and is arranged according to client
The working strategies of cloud platform, are maked an inspection tour daily, i.e., carry out slide collection image data along sliding rail, and by satisfactory data
It is sent to cloud, orbital image acquires equipment after the sliding rail sliding, is back in charging storehouse and charges, collected on the way
The data of all qualifications have reached cloud, and cloud carries out pig image segmentation to image, then by the pig image after segmentation
It is input in model, obtains the weight information of each pig, be back in the clients such as laptop, desktop computer, mobile phone, visitor
The implementable weight information for obtaining every pig in family can also obtain column counterpoise information, and then can be carried out according to these information for user
Data analysis, the growth of evaluation pig, feeding level, and suggestion is provided to subsequent feeding.
It should be noted that the tracker in Fig. 4, for carrying out real-time tracking to every pig in column, effect is note
The movement track of every pig is recorded, individual identification can also be assisted to carry out identity authentication.Tracker uses intelligent algorithm, passes through number
According to training, tracing model is obtained, realizes and real-time tracing is carried out to all pigs in particular range.In addition, the individual in Fig. 4 is known
Other equipment, pig is individual for identification, and preventing pig from repeatedly searching for food causes system to compute repeatedly weight, so as to cause whole column counterpoise
Deviation.
Content based on the above embodiment, in a kind of optional embodiment, the method also includes:
Step 104: being obtained according to the pig quantity information in the weight information of each pig in group rearing column and group rearing column
Column counterpoise information;Wherein, when obtaining column counterpoise information, duplicate pig weight information is removed according to the identity information of pig.
It should be noted that due in group rearing column each pig have indicate identity information ear tag, obtaining
When column counterpoise information, duplicate pig weight information is removed according to the identity information of pig, therefore obtained counterpoise information is more quasi-
Really.
Based on identical inventive concept, another embodiment of the present invention provides a kind of intelligence pig raising group rearing weight-measuring device, ginsengs
See Fig. 7, which includes: that the first acquisition module 21, second obtains module 22 and check weighing module 23, in which:
First obtains module 21, the image information on the pig farm group rearing column for obtaining pending intelligent group rearing check weighing;
Second obtains module 22, for the image information according to group rearing column, obtains the image letter of each pig in group rearing column
Breath;
Check weighing module 23, for the image information according to each pig in group rearing column, using preset measured body weight model,
Obtain the weight information of each pig in group rearing column;
Wherein, the preset measured body weight model is image pattern input data and weight based on pig in group rearing column
What sample results data obtained after being trained.
It should be noted that intelligence pig raising group rearing weight-measuring device provided in this embodiment can be used for executing above-described embodiment
The intelligence pig raising group rearing method for measuring weight, working principle is similar with technical effect, and for details, reference can be made to retouching for above-described embodiment
It states, and will not be described here in detail.
Based on identical inventive concept, further embodiment of this invention provides a kind of electronic equipment, referring to Fig. 8, the electricity
Sub- equipment specifically includes following content: processor 801, memory 802, communication interface 803 and bus 804;
Wherein, the processor 801, memory 802 and communication interface 803 are completed mutual by the bus 804
Communication;The communication interface 803 is for realizing the letter between the relevant devices such as each modeling software and intelligent manufacturing equipment module library
Breath transmission;
The processor 801 is used to call the computer program in the memory 802, and the processor executes the meter
The Overall Steps in above-described embodiment one are realized when calculation machine program, for example, reality when the processor executes the computer program
Existing following step:
Step 101: obtaining the image information on the pig farm group rearing column of pending intelligent group rearing check weighing.
Step 102: according to the image information on group rearing column, obtaining the image information of each pig in group rearing column.
Step 103: group is obtained using preset measured body weight model according to the image information of each pig in group rearing column
Support the weight information of each pig in column;
Wherein, the preset measured body weight model is image pattern input data and weight based on pig in group rearing column
What sample results data obtained after being trained.
Based on identical inventive concept, further embodiment of this invention provides a kind of computer readable storage medium, the meter
It is stored with computer program on calculation machine readable storage medium storing program for executing, which realizes above-described embodiment one when being executed by processor
Overall Steps, for example, the processor execute the computer program when realize following step:
Step 101: obtaining the image information on the pig farm group rearing column of pending intelligent group rearing check weighing.
Step 102: according to the image information on group rearing column, obtaining the image information of each pig in group rearing column.
Step 103: group is obtained using preset measured body weight model according to the image information of each pig in group rearing column
Support the weight information of each pig in column;
Wherein, the preset measured body weight model is image pattern input data and weight based on pig in group rearing column
What sample results data obtained after being trained.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The above examples are only used to illustrate the technical scheme of the present invention, rather than its limitations;Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features;And these are modified or replace
It changes, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of intelligence pig raising group rearing method for measuring weight characterized by comprising
The image information on the pig farm group rearing column of S1, the pending intelligent group rearing check weighing of acquisition;
S2, according to the image information on group rearing column, obtain the image information of each pig in group rearing column;
S3, according to the image information of each pig in group rearing column, using preset measured body weight model, obtain each in group rearing column
The weight information of pig;
Wherein, the preset measured body weight model is image pattern input data and weight sample based on pig in group rearing column
What result data obtained after being trained.
2. the method according to claim 1, wherein before the S1, the method also includes:
S0, the preset measured body weight model is established.
3. according to the method described in claim 2, it is characterized in that, the S0 includes:
S01, prepare training sample data;The training sample data include specified in the pig farm of pending intelligent group rearing check weighing
The image data and weight data of pig in group rearing column;
S02, the training sample data based on preparation are trained original body mass measurement model based on the method for machine learning,
Obtain the preset measured body weight model.
4. according to the method described in claim 3, it is characterized in that, the S01 includes:
The weight information of each pig in the group rearing column specified in the pig farm of pending intelligence group rearing check weighing described in taken at regular intervals
And image information, and the weight information acquired every time and image information composition data are stored in pairs to rear;
Correspondingly, the S02 includes:
Using the image information of the data centering of the pig weight information and image information that collect as input, by corresponding data
The weight information of centering is trained original body mass measurement model based on the method for machine learning as output, obtains described
Preset measured body weight model.
5. according to the method described in claim 4, it is characterized in that, pending intelligence group rearing check weighing described in the taken at regular intervals
The weight information and image information of each pig in the group rearing column specified in pig farm, and the weight information and figure that will be acquired every time
As information composition data is stored in pairs to rear, comprising:
Carry out single pig multi-pose data acquisition in group rearing column;And carry out pig integrated location data acquisition in group rearing column;
Wherein, single pig multi-pose data acquisition in group rearing column is carried out, comprising:
Acquire image information and corresponding weight information of the single pig during drinking water feeding under each posture in group rearing column;
Wherein, it is placed with the square on-ground weigher of preset quantity in group rearing column, is provided with image capture device above each on-ground weigher, each
On-ground weigher is surrounded by fence, and a pig is put in each on-ground weigher, and crib is installed in the side of each on-ground weigher, and sink, pig are installed in the other side
Only walk up and down on on-ground weigher when drinking-water feeding;
Wherein, pig integrated location data acquisition in group rearing column is carried out, comprising:
Acquire image information and corresponding weight information of the pig under integrated location in group rearing column;Wherein, group rearing column periphery
Predetermined position is provided with image capture device and ear tag identification equipment;Two regions are split up into using fence among group rearing column,
Crib is placed on a region, and sink is placed on another region, and two electronics on-ground weighers, two electricity are placed at centre-arm steering linkage
Sub- on-ground weigher is respectively provided with unilateral gate, and one of on-ground weigher can only enter feeding area from drinking area, another on-ground weigher can only be from feeding area
Into drinking area, pig drinking-water is walked up and down on two on-ground weighers when searching for food, and each pig in group rearing column, which is worn, to be used for
Indicate the ear tag of identity information.
6. according to the method described in claim 5, it is characterized in that, the S1 includes:
It is obtained using the fixed image capture device being mounted on above crib or sink or using slide rail type image capture device
The image information on the pig farm group rearing column of pending intelligence group rearing check weighing;Wherein, when needing to acquire pig in single group rearing column
When image information, using fixed image capture device;When needing to acquire the image information of pig in multiple group rearing columns, use
Slide rail type image capture device, wherein sliding rail is mounted on the top on the multiple group rearing columns in pig farm, and image capture device is in the cunning
It is slided on rail, the image letter of pig in corresponding group rearing column is acquired when often sliding into corresponding group rearing column crib or sink top position
Breath;The one or both ends of the sliding rail are equipped with charging storehouse, for acquiring equipment charge for described image;When described image acquires
Equipment is back in the charging storehouse for be mounted on sliding rail one or both ends and charges after sliding on the sliding rail.
7. according to the method described in claim 5, it is characterized in that, the method also includes:
S4, counterpoise letter in column is obtained according to the pig quantity information in the weight information and group rearing column of each pig in group rearing column
Breath;Wherein, when obtaining column counterpoise information, duplicate pig weight information is removed according to the identity information of pig.
8. a kind of intelligence pig raising group rearing weight-measuring device characterized by comprising
First obtains module, the image information on the pig farm group rearing column for obtaining pending intelligent group rearing check weighing;
Second obtains module, for the image information according to group rearing column, obtains the image information of each pig in group rearing column;
Check weighing module obtains group using preset measured body weight model for the image information according to each pig in group rearing column
Support the weight information of each pig in column;
Wherein, the preset measured body weight model is image pattern input data and weight sample based on pig in group rearing column
What result data obtained after being trained.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that realize when the processor executes described program and intelligently supported as described in any one of claim 1 to 7
Swinery supports the step of method for measuring weight.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
The step of group rearing method for measuring weight is intelligently raised pigs as described in any one of claim 1 to 7 is realized when processor executes.
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811525570.7A CN109632058B (en) | 2018-12-13 | 2018-12-13 | Intelligent pig raising group weight measuring method and device, electronic equipment and storage medium |
AU2019101786A AU2019101786A4 (en) | 2018-12-13 | 2019-12-10 | Intelligent pig group rearing weighing method and apparatus, electronic device and storage medium |
PCT/CN2019/124174 WO2020119659A1 (en) | 2018-12-13 | 2019-12-10 | Intelligent pig group rearing weighing method and apparatus, electronic device and storage medium |
AU2019399813A AU2019399813A1 (en) | 2018-12-13 | 2019-12-10 | Intelligent pig group rearing weighing method and apparatus, electronic device and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811525570.7A CN109632058B (en) | 2018-12-13 | 2018-12-13 | Intelligent pig raising group weight measuring method and device, electronic equipment and storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109632058A true CN109632058A (en) | 2019-04-16 |
CN109632058B CN109632058B (en) | 2020-06-02 |
Family
ID=66073671
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811525570.7A Active CN109632058B (en) | 2018-12-13 | 2018-12-13 | Intelligent pig raising group weight measuring method and device, electronic equipment and storage medium |
Country Status (3)
Country | Link |
---|---|
CN (1) | CN109632058B (en) |
AU (2) | AU2019101786A4 (en) |
WO (1) | WO2020119659A1 (en) |
Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110426112A (en) * | 2019-07-04 | 2019-11-08 | 平安科技(深圳)有限公司 | Live pig weight measuring method and device |
CN110558248A (en) * | 2019-09-27 | 2019-12-13 | 重庆小富农康农业科技服务有限公司 | pig quantity monitoring device |
CN110580916A (en) * | 2019-08-13 | 2019-12-17 | 北京农业信息技术研究中心 | weight acoustic measurement model creation method and weight measurement method and device |
CN110612921A (en) * | 2019-09-25 | 2019-12-27 | 农芯科技(广州)有限责任公司 | Monitoring system and method for positioning gilts |
CN110672189A (en) * | 2019-09-27 | 2020-01-10 | 北京海益同展信息科技有限公司 | Weight estimation method, device, system and storage medium |
CN111183917A (en) * | 2019-11-14 | 2020-05-22 | 北京海益同展信息科技有限公司 | Animal abnormity monitoring and image processing method and device |
CN111264405A (en) * | 2020-02-19 | 2020-06-12 | 北京海益同展信息科技有限公司 | Feeding method, system, device, equipment and computer readable storage medium |
WO2020119659A1 (en) * | 2018-12-13 | 2020-06-18 | 北京小龙潜行科技有限公司 | Intelligent pig group rearing weighing method and apparatus, electronic device and storage medium |
CN111369378A (en) * | 2020-02-25 | 2020-07-03 | 成都睿畜电子科技有限公司 | Live pig supervision method and system based on computer vision recognition |
CN111418509A (en) * | 2020-01-16 | 2020-07-17 | 秒针信息技术有限公司 | Method and device for feeding livestock, storage medium and electronic device |
CN111507432A (en) * | 2020-07-01 | 2020-08-07 | 四川智迅车联科技有限公司 | Intelligent weighing method and system for agricultural insurance claims, electronic equipment and storage medium |
CN112841074A (en) * | 2020-12-31 | 2021-05-28 | 京东数科海益信息科技有限公司 | Detection method, device, equipment and storage medium |
CN112903078A (en) * | 2021-01-21 | 2021-06-04 | 核工业四一六医院 | Laboratory mouse data acquisition device and acquisition method |
CN113063479A (en) * | 2021-03-16 | 2021-07-02 | 深圳市归位科技有限公司 | Animal husbandry weight estimation device and method combining tracking system and platform scale |
CN114067364A (en) * | 2021-11-23 | 2022-02-18 | 江苏省家禽科学研究所 | Chicken automatic weighing device based on image acquisition |
CN115331266A (en) * | 2022-10-17 | 2022-11-11 | 天津大学四川创新研究院 | Pig unique identification duplicate removal alarm method |
CN116206342A (en) * | 2023-04-27 | 2023-06-02 | 广东省农业科学院动物科学研究所 | Pig weight detection method, device, equipment and storage medium |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112106689A (en) * | 2020-10-16 | 2020-12-22 | 中国农业大学 | Prawn feed platform observation system |
CN112990073A (en) * | 2021-03-31 | 2021-06-18 | 南京农业大学 | Suckling period piglet activity rule statistical system based on edge calculation |
CN113124971A (en) * | 2021-05-14 | 2021-07-16 | 深圳市路安仪器设备有限公司 | Linear weighing method |
CN113780073B (en) * | 2021-08-03 | 2023-12-05 | 华南农业大学 | Device and method for auxiliary estimation of chicken flock uniformity |
CN114543674B (en) * | 2022-02-22 | 2023-02-07 | 成都睿畜电子科技有限公司 | Detection method and system based on image recognition |
CN115226644A (en) * | 2022-08-05 | 2022-10-25 | 中国农业大学 | Pig grouping feeding management device and system |
CN115226651B (en) * | 2022-08-19 | 2023-09-19 | 深圳进化动力数码科技有限公司 | Live pig weight estimation method and device for intelligent pig raising, electronic equipment and medium |
CN116058302B (en) * | 2023-03-15 | 2023-08-29 | 江苏省家禽科学研究所 | Automatic weighing broiler chicken raising cage |
CN116091786B (en) * | 2023-04-11 | 2023-06-20 | 厦门农芯数字科技有限公司 | Holographic body ruler self-coding method, system, equipment and storage medium for pig weight estimation |
CN117528034B (en) * | 2023-12-29 | 2024-03-12 | 常州辉途智能科技有限公司 | Pasture intelligent breeding system and working method |
CN117718244A (en) * | 2024-02-08 | 2024-03-19 | 中国农业科学院北京畜牧兽医研究所 | Grouping weighing system for cattle groups |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011143711A1 (en) * | 2010-05-19 | 2011-11-24 | Australasian Pork Research Institute Ltd | Image analysis for making animal measurements |
CN103884280A (en) * | 2014-03-14 | 2014-06-25 | 中国农业大学 | Mobile system for monitoring body sizes and weights of pigs in multiple pigsties |
CN105784083A (en) * | 2016-04-05 | 2016-07-20 | 北京农业信息技术研究中心 | Cow shape measuring method and cow shape measuring system based on stereo vision technology |
CN206177429U (en) * | 2016-11-04 | 2017-05-17 | 北京农业信息技术研究中心 | Meat chicken weight estimation device based on range image |
CN107667903A (en) * | 2017-07-27 | 2018-02-09 | 北京奥云牧数据科技有限公司 | Livestock-raising live body Avoirdupois monitoring method based on Internet of Things |
CN108871520A (en) * | 2018-07-06 | 2018-11-23 | 平安科技(深圳)有限公司 | Livestock body weight measurement and device |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109632058B (en) * | 2018-12-13 | 2020-06-02 | 北京小龙潜行科技有限公司 | Intelligent pig raising group weight measuring method and device, electronic equipment and storage medium |
CN109579956B (en) * | 2018-12-13 | 2021-05-14 | 北京小龙潜行科技有限公司 | Intelligent pig raising limiting weight measuring method and device, electronic equipment and storage medium |
-
2018
- 2018-12-13 CN CN201811525570.7A patent/CN109632058B/en active Active
-
2019
- 2019-12-10 AU AU2019101786A patent/AU2019101786A4/en active Active
- 2019-12-10 AU AU2019399813A patent/AU2019399813A1/en active Pending
- 2019-12-10 WO PCT/CN2019/124174 patent/WO2020119659A1/en active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011143711A1 (en) * | 2010-05-19 | 2011-11-24 | Australasian Pork Research Institute Ltd | Image analysis for making animal measurements |
CN103884280A (en) * | 2014-03-14 | 2014-06-25 | 中国农业大学 | Mobile system for monitoring body sizes and weights of pigs in multiple pigsties |
CN105784083A (en) * | 2016-04-05 | 2016-07-20 | 北京农业信息技术研究中心 | Cow shape measuring method and cow shape measuring system based on stereo vision technology |
CN206177429U (en) * | 2016-11-04 | 2017-05-17 | 北京农业信息技术研究中心 | Meat chicken weight estimation device based on range image |
CN107667903A (en) * | 2017-07-27 | 2018-02-09 | 北京奥云牧数据科技有限公司 | Livestock-raising live body Avoirdupois monitoring method based on Internet of Things |
CN108871520A (en) * | 2018-07-06 | 2018-11-23 | 平安科技(深圳)有限公司 | Livestock body weight measurement and device |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020119659A1 (en) * | 2018-12-13 | 2020-06-18 | 北京小龙潜行科技有限公司 | Intelligent pig group rearing weighing method and apparatus, electronic device and storage medium |
CN110426112A (en) * | 2019-07-04 | 2019-11-08 | 平安科技(深圳)有限公司 | Live pig weight measuring method and device |
WO2021000423A1 (en) * | 2019-07-04 | 2021-01-07 | 平安科技(深圳)有限公司 | Pig weight measurement method and apparatus |
CN110580916A (en) * | 2019-08-13 | 2019-12-17 | 北京农业信息技术研究中心 | weight acoustic measurement model creation method and weight measurement method and device |
CN110612921A (en) * | 2019-09-25 | 2019-12-27 | 农芯科技(广州)有限责任公司 | Monitoring system and method for positioning gilts |
CN110558248A (en) * | 2019-09-27 | 2019-12-13 | 重庆小富农康农业科技服务有限公司 | pig quantity monitoring device |
CN110672189A (en) * | 2019-09-27 | 2020-01-10 | 北京海益同展信息科技有限公司 | Weight estimation method, device, system and storage medium |
CN111183917B (en) * | 2019-11-14 | 2022-02-01 | 京东科技信息技术有限公司 | Animal abnormity monitoring and image processing method and device |
CN111183917A (en) * | 2019-11-14 | 2020-05-22 | 北京海益同展信息科技有限公司 | Animal abnormity monitoring and image processing method and device |
CN111418509A (en) * | 2020-01-16 | 2020-07-17 | 秒针信息技术有限公司 | Method and device for feeding livestock, storage medium and electronic device |
CN111264405A (en) * | 2020-02-19 | 2020-06-12 | 北京海益同展信息科技有限公司 | Feeding method, system, device, equipment and computer readable storage medium |
CN111369378A (en) * | 2020-02-25 | 2020-07-03 | 成都睿畜电子科技有限公司 | Live pig supervision method and system based on computer vision recognition |
CN111507432A (en) * | 2020-07-01 | 2020-08-07 | 四川智迅车联科技有限公司 | Intelligent weighing method and system for agricultural insurance claims, electronic equipment and storage medium |
CN112841074A (en) * | 2020-12-31 | 2021-05-28 | 京东数科海益信息科技有限公司 | Detection method, device, equipment and storage medium |
CN112903078B (en) * | 2021-01-21 | 2023-01-10 | 核工业四一六医院 | Laboratory mouse data acquisition device and acquisition method |
CN112903078A (en) * | 2021-01-21 | 2021-06-04 | 核工业四一六医院 | Laboratory mouse data acquisition device and acquisition method |
CN113063479A (en) * | 2021-03-16 | 2021-07-02 | 深圳市归位科技有限公司 | Animal husbandry weight estimation device and method combining tracking system and platform scale |
CN114067364A (en) * | 2021-11-23 | 2022-02-18 | 江苏省家禽科学研究所 | Chicken automatic weighing device based on image acquisition |
CN114067364B (en) * | 2021-11-23 | 2023-10-03 | 江苏省家禽科学研究所 | Chicken automatic weighing device based on image acquisition |
CN115331266A (en) * | 2022-10-17 | 2022-11-11 | 天津大学四川创新研究院 | Pig unique identification duplicate removal alarm method |
CN115331266B (en) * | 2022-10-17 | 2023-02-10 | 天津大学四川创新研究院 | Pig unique identification duplicate removal alarm method |
CN116206342A (en) * | 2023-04-27 | 2023-06-02 | 广东省农业科学院动物科学研究所 | Pig weight detection method, device, equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
AU2019399813A1 (en) | 2021-02-25 |
WO2020119659A1 (en) | 2020-06-18 |
AU2019101786A4 (en) | 2021-04-01 |
CN109632058B (en) | 2020-06-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109632058A (en) | A kind of intelligent group rearing method for measuring weight, device, electronic equipment and storage medium of raising pigs | |
CN109632059A (en) | A kind of intelligence method for culturing pigs, system, electronic equipment and storage medium | |
US11647700B2 (en) | Method for monitoring growth of plants and generating a plant grow schedule | |
CN109579956A (en) | A kind of intelligent limit method for measuring weight, device, electronic equipment and storage medium of raising pigs | |
Altaheri et al. | Date fruit dataset for intelligent harvesting | |
US20220007589A1 (en) | Method for monitoring growth of plants and generating a plant grow schedule | |
CN109284771B (en) | Tomato growth model determination method and device | |
CN107657008A (en) | Across media training and search method based on depth discrimination sequence study | |
CN115294185B (en) | Pig weight estimation method and related equipment | |
CN101615183A (en) | The based river time sequence analytic system and the method thereof of spatial image information and GIS basal disc | |
Lu et al. | An automatic splitting method for the adhesive piglets’ gray scale image based on the ellipse shape feature | |
CN108764203A (en) | A kind of pedestrian's quantitative analysis and display systems towards urban planning | |
CN107609078A (en) | Growing state survey model update method, sensor, server and system | |
CN112184791A (en) | Yak weight prediction method based on CNN-LSTM neural network | |
CN104463916A (en) | Eye movement fixation point measurement method based on random walk | |
CN109511406A (en) | The health diagnosis system of plant | |
CN111291803A (en) | Image grading granularity migration method, system, equipment and medium | |
CN105105757A (en) | Wearable human motion gesture track recording and assessment device | |
CN107292340A (en) | Lateral line scales recognition methods based on convolutional neural networks | |
CN115683294A (en) | Dynamic weighing system and method for cattle | |
CN109620150B (en) | Intelligent pig-raising limiting fat-measuring method and device, electronic equipment and storage medium | |
CN210321983U (en) | Automatic sample weighing device | |
CN109685174A (en) | A kind of cucumber yielding ability automatic analysing apparatus and method | |
CN115690585B (en) | Method and system for extracting wheat tillering number based on digital photo | |
CN114842470B (en) | Egg counting and positioning system in stacked cage raising mode |
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 |