CN117173733A - Animal growth identification method and system - Google Patents
Animal growth identification method and system Download PDFInfo
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- CN117173733A CN117173733A CN202210582104.2A CN202210582104A CN117173733A CN 117173733 A CN117173733 A CN 117173733A CN 202210582104 A CN202210582104 A CN 202210582104A CN 117173733 A CN117173733 A CN 117173733A
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- 241001465754 Metazoa Species 0.000 title claims abstract description 164
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000006243 chemical reaction Methods 0.000 claims abstract description 28
- 238000012937 correction Methods 0.000 claims abstract description 25
- 238000004364 calculation method Methods 0.000 claims abstract description 24
- 238000010276 construction Methods 0.000 claims description 14
- 230000005856 abnormality Effects 0.000 claims description 11
- 230000036760 body temperature Effects 0.000 claims description 8
- 238000003306 harvesting Methods 0.000 abstract description 8
- 238000009826 distribution Methods 0.000 description 4
- 241000283690 Bos taurus Species 0.000 description 3
- 241000287828 Gallus gallus Species 0.000 description 3
- 241000282887 Suidae Species 0.000 description 3
- 235000013330 chicken meat Nutrition 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000005303 weighing Methods 0.000 description 3
- 206010005908 Body temperature conditions Diseases 0.000 description 2
- 238000009395 breeding Methods 0.000 description 2
- 230000001488 breeding effect Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000003746 feather Anatomy 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 235000021274 meat intake Nutrition 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000050 nutritive effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 235000021075 protein intake Nutrition 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 235000021067 refined food Nutrition 0.000 description 1
- 238000003892 spreading Methods 0.000 description 1
- 238000001931 thermography Methods 0.000 description 1
Classifications
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- 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
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- 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
- A01K45/00—Other aviculture appliances, e.g. devices for determining whether a bird is about to lay
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Biodiversity & Conservation Biology (AREA)
- Animal Husbandry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Birds (AREA)
- Geometry (AREA)
- Human Computer Interaction (AREA)
- Housing For Livestock And Birds (AREA)
Abstract
The invention relates to an animal growth identification method and a system thereof, wherein at least one photographing unit photographs an animal in a cultivation area, and a stereoscopic vision image picture and a thermal image picture photographed by the photographing unit are transmitted to a control unit, so that a stereoscopic vision outline and a thermal image outline of the cultivated animal are respectively constructed in the control unit, the two outlines are correspondingly overlapped to obtain a correction outline of the animal, calculation of the volume of the correction outline is carried out, condition factors such as a variety, a growth stage and the like of the animal are identified to output corresponding volume-weight conversion ratio, and the obtained volume is substituted into the volume-weight conversion ratio to obtain the weight of the animal, thereby adding and counting the weights of a plurality of animals photographed in the cultivation area, accurately estimating the harvesting time of the animal in the cultivation area, and achieving the benefits of effectively saving feed cost and the like.
Description
Technical Field
The present invention relates to a method and a system for identifying animal growth, and more particularly to a method and a system for accurately predicting the harvesting time of cultured animals to effectively save the cost of feed.
Background
The bred animals such as chickens, pigs, cattle and the like are main meat and protein intake sources in the living diet of people, so that the chicken, pigs, cattle and the like have high nutritive value and are raw materials of many processed foods.
The weight monitoring of the farm to the cultivated animals mainly depends on manual sampling and weighing by a small number, or a fixed physical platform scale is used, so that the animals jump on the scale automatically, and the like; however, the measurement mode of manual sampling weighing or automatic weighing of animals has too low measurement frequency and data, which is easy to cause the estimated group weight distribution misalignment. The cost of the feed for the cultured animals is generally more than 70% of the total operation cost, so the weight data of the cultured animals is extremely important for the culture operation, and can be used for calculating the optimal feeding days of the feed, and the weight distribution is also the main calculation basis of the harvest, if the growth and the harvest time of the animals can be accurately estimated, the optimization of the feed cost can be facilitated, and the profit of the farmers can be improved.
The present inventors have found that the above-described drawbacks have been achieved in view of the conventional weight obtaining method for cultured animals, and have made the present invention through many years of assistances of manufacturing and design experience and knowledge in the related art.
Disclosure of Invention
The invention relates to an animal growth identification method and a system thereof, and mainly aims to provide a method and a system thereof which can accurately estimate the harvesting time of cultured animals so as to effectively save the feed cost.
In order to achieve the above-mentioned object, the present inventors have studied a method for identifying animal growth, comprising the steps of:
A. shooting an image picture: at least one photographing unit is used for photographing animals in a preset range of a cultivation area, and the stereoscopic vision image picture and the thermal image picture of the photographed animals are transmitted to a control unit;
B. constructing an image profile: then the control unit constructs a stereoscopic vision outline and a thermal image outline of one animal in the stereoscopic vision image picture and the thermal image picture;
C. obtaining a correction profile: then, the control unit correspondingly overlaps the stereoscopic vision outline and the thermal image outline of the animal so as to obtain the correction outline of the animal;
D. animal volume was calculated: continuing to enable the control unit to measure the edge of the correction contour so as to obtain the depth and the bottom area of the edge of the correction contour, and calculating to obtain the volume of the animal;
E. obtaining a volume-weight conversion ratio: the control unit can identify various condition factors of the animal so as to output a volume-weight conversion ratio which accords with the condition factors;
F. animal weight was calculated: substituting the obtained animal volume into the volume-weight conversion ratio by the control unit to calculate and obtain the weight of the animal;
G. counting total weight of animals: and then the control unit calculates the weights of the animals in the preset range of the cultivation area, which are shot by the shooting unit, one by one, then sums up the weights of the animals for statistics, and displays the weight statistics result on a display unit.
The method for identifying the growth of the animal as described above, wherein the method for identifying the growth of the animal further comprises an abnormality warning step of comparing the thermal image of the animal with the normal body temperature of the animal by the control unit to determine whether the animal is ill or dead, and displaying an abnormality warning message on the display unit if the animal is ill or dead.
The animal growth identification method as described above, wherein the condition factors of the animal identified by the control unit include at least one of a breed, a growth stage and a growing season of the animal.
The present invention further provides an animal growth recognition system, which mainly comprises a fixing unit, wherein the fixing unit is arranged in a cultivation area, at least one photographing unit is arranged on the fixing unit, at least two stereoscopic image lenses and at least one thermal image lens are arranged in the photographing unit, a control unit is further included to be connected with the photographing unit in a signal manner, an animal growth recognition artificial intelligence program is built in the control unit, the animal growth recognition artificial intelligence program comprises a stereoscopic image contour construction module, a thermal image contour construction module, a contour correction module, a volume calculation module, a volume weight conversion ratio module, a weight calculation module and a weight calculation module, so that the control unit is connected with each module of the animal growth recognition artificial intelligence program for operation, the shooting unit shoots a cultivated animal in a preset range of the cultivation area, the shot stereoscopic image picture and the shot thermal image picture are transmitted to the control unit, the stereoscopic image contour construction module constructs a stereoscopic image contour of one animal in the stereoscopic image picture, the thermal image contour construction module constructs a thermal image contour of the one animal in the thermal image picture, the contour correction module correspondingly overlaps the stereoscopic image contour and the thermal image contour of the animal to obtain a correction contour of the one animal, the volume calculation module measures the edge of the correction contour to obtain the bottom area and the depth of the edge of the correction contour, the volume of the animal is calculated, the volume weight conversion ratio module can identify various condition factors of the animal to output the volume weight conversion ratio conforming to the condition factors, the weight calculating module substitutes the animal volume obtained from the volume calculating module into the volume-weight conversion ratio provided by the volume-weight conversion ratio module to calculate and obtain the weight of the animal, the weight counting module sums up the weights of a plurality of animals in a preset range shot by the shooting unit, and the control unit is connected with a display unit to display the weight counting result on the display unit.
The animal growth identification system as described above, wherein the animal growth identification artificial intelligence program further comprises an anomaly warning module, the anomaly warning module identifies the body temperature of the animal in the thermal image, and compares the body temperature with the normal body temperature of the animal to determine whether the animal is ill or dead, and if so, the control unit is driven to display an anomaly warning message on the display unit.
The animal growth identification system as described above, wherein the animal condition factors identified by the volume-weight conversion ratio module include at least one of a breed, a growing stage and a growing season of the animal.
Therefore, when the invention is used and implemented, at least one photographing unit photographs animals in a cultivation area, and the photographed stereoscopic vision image picture and the thermal image picture are transmitted to a control unit, so that the stereoscopic vision outline and the thermal image outline of the cultivated animals are respectively constructed in the control unit, the two outlines are correspondingly overlapped to obtain the correction outline of the animals, the calculation of the volume of the correction outline is carried out, the condition factors such as the variety and the growth stage of the animals are identified to output the corresponding volume-weight conversion ratio, and the obtained volume is substituted into the volume-weight conversion ratio to obtain the weight of the animals, thereby the total weight statistics of a plurality of animals photographed in the cultivation area can be carried out, the harvesting time of the animals in the cultivation area can be accurately estimated, and the benefits such as effective feed cost saving are achieved.
Drawings
FIG. 1 is a system architecture diagram of the present invention.
Fig. 2 is a flow chart of the present invention.
Fig. 3 is a use state diagram of the present invention.
Fig. 4 is a perspective view outline and thermal image outline superposition state diagram of the present invention.
Reference numerals:
1: fixing unit
2: photographic unit
21: stereoscopic image lens
22: thermal imaging lens
3: control unit
4: artificial intelligence program for identifying animal growth
41: stereoscopic image contour construction module
42: thermal image contour construction module
43: contour correction module
44: volume calculation module
45: volume-weight conversion ratio module
46: weight calculation module
47: weight statistics module
48: abnormality warning module
5: display unit
6: animals
61: stereoscopic profile
62: thermal image profile
Detailed Description
In order to make the technical means of the present invention and the effects achieved thereby more complete and clear, the following detailed description is given, please refer to the accompanying drawings and figures:
firstly, referring to fig. 1 and 3, the method and system for identifying animal growth of the present invention mainly comprises a fixing unit (1), wherein the fixing unit (1) is a bracket erected above a cultivation area, at least one photographing unit (2) is arranged on the fixing unit (1), at least two stereoscopic image lenses (21) and at least one thermal image lens (22) are arranged in the photographing unit (2), a control unit (3) is further included, the control unit (3) can be a desktop computer, a notebook computer or a tablet computer and the like so as to be connected with the photographing unit (2), an animal growth identification artificial intelligent program (4) is built in the control unit (3), the animal growth identification artificial intelligent program (4) comprises a stereoscopic image contour construction module (41), a thermal image contour construction module (42), a contour correction module (43), a volume calculation module (44), a volume weight conversion ratio module (45), a weight calculation module (46), a weight module (47) and an abnormality calculation module (48), and the control unit (3) so as to enable the control unit (3) to be connected with the display unit (5) to perform an abnormal operation.
Accordingly, when the present invention is implemented in use, please refer to fig. 2, the implementation steps include:
A. shooting an image picture: referring to fig. 3, the photographing unit (2) is assembled on the fixing unit (1) and located above a cultivation area, and then the photographing unit (2) photographs the cultivated animals (6) such as chickens, pigs, cows, etc. within a preset range of the cultivation area, and transmits stereoscopic vision images, thermal image images, etc. of the photographed animals (6) to the control unit (3);
B. constructing an image profile: subsequently, the body image contour construction module (41) built in the artificial intelligence program (4) for identifying the animal growth built in the control unit (3) utilizes the 3D point cloud technology to construct a stereoscopic vision contour (61) of one animal (6) in the stereoscopic vision image picture, and the thermal image contour construction module (42) utilizes the 3D point cloud technology to construct a thermal image contour (62) of the one animal (6) in the thermal image picture:
C. obtaining a correction profile: referring to fig. 4, the contour correction module (43) correspondingly superimposes the stereoscopic contour (61) and the thermal image contour (62) of the animal (6) to obtain a corrected contour of the animal (6) after removing feathers or hair;
D. animal volume was calculated: measuring the edges of the corrected contour by the volume calculation module (44) to obtain the average depth of the edges of the corrected contour, and the depth and bottom area of each edge point pixel of the corrected contour, and substituting the depth and bottom area into the corrected contourWherein p is the average depth of the edge, di is the depth of the ith pixel, and Ai is the bottom area of the ith pixel, whereby the volume of the animal (6) is calculated from the correction profile of the animal (6);
E. obtaining a volume-weight conversion ratio: the volume-weight conversion ratio module (45) then recognizes at least one of the variety, growth stage, growth season, etc. of the animal (6) to output a volume-weight conversion ratio conforming to the at least one of the variety, growth stage, growth season, etc., and the volume-weight conversion ratio is obtained by calculating the actual weight of the general animal conforming to the at least one of the variety, growth stage, growth season, etc. by using the neural network;
F. animal weight was calculated: then the weight calculation module (46) substitutes the volume of the animal (6) obtained by the volume calculation module (44) into the volume-weight conversion ratio which is provided by the volume-weight conversion ratio module (45) and accords with the condition factors such as the variety, the growth stage, the growth season and the like of the animal (6), and then the weight of the animal (6) can be calculated and obtained;
G. counting total weight of animals: and then the weights of the animals (6) in the preset range of the cultivation area shot by the shooting unit (2) are calculated one by one, and then the weight statistics module (47) sums the weights of the animals (6) for statistics, so that the weight statistics result is displayed on a display unit (5) connected with the control unit (3).
Therefore, the breeder can accurately know the group weight distribution state of a plurality of animals (6) in the breeding area, and further accurately estimate the optimal collection time and the feeding days of the feed of the animals (6) in the breeding area, so that the substantial benefits of effectively saving the feed cost, improving the profit of the breeder and the like are achieved. It should be noted that the artificial intelligence program (4) for identifying animal growth of the present invention is provided with an abnormality warning module (48), and further comprises an abnormality warning step, when the photographing unit (2) transmits the thermal image of the animal (6) to the control unit (3), the abnormality warning module (48) can identify the body temperature condition of the animal (6) in the thermal image to compare with the normal body temperature of the animal (6) so as to determine whether the animal (6) is ill or dead, and if it is determined that the animal (6) is ill or dead, the control unit (3) is driven to display an abnormality warning message on the display unit (5), thereby facilitating the farmer to timely dispose the ill or dead animal and avoiding occurrence of greater losses such as disease spread.
As can be seen from the above structure and embodiments, the present invention has the following advantages:
1. the animal growth identification method and the system thereof of the invention lead in a vision calculation technology for the weight of the cultured animals, and can monitor a plurality of the cultured animals within a range of the culture area at one time, thereby accurately obtaining the population weight distribution state of a plurality of the animals in the culture area, further estimating the optimal harvesting time and the feeding days of the cultured animals, and achieving the benefits of effectively saving the cost of the feed, and the like.
2. The animal growth identification method and the system thereof of the invention shoot a thermal image picture of the animal so as to identify the body temperature condition of the animal, further judge whether the animal is ill or dead, and display warning information when abnormality occurs, thereby being beneficial to timely disposing the ill or dead animal and avoiding larger losses such as disease spreading.
3. The animal growth identification method and the system thereof can identify the varieties, growth stages, seasons and the like of different animals so as to obtain corresponding volume-weight conversion ratios, and even if various animals are mixedly cultured in a farm, the mixedly cultured animals can be conveniently calculated separately so as to accurately estimate the growth and harvesting time of the various animals.
Claims (6)
1. An animal growth identification method, characterized in that the implementation steps comprise:
A. shooting an image picture: at least one photographing unit is used for photographing animals in a preset range of a cultivation area, and the stereoscopic vision image picture and the thermal image picture of the photographed animals are transmitted to a control unit;
B. constructing an image profile: then the control unit constructs a stereoscopic vision outline and a thermal image outline of one animal in the stereoscopic vision image picture and the thermal image picture;
C. obtaining a correction profile: then, the control unit correspondingly overlaps the stereoscopic vision outline and the thermal image outline of one animal so as to obtain the correction outline of the animal;
D. animal volume was calculated: continuing to enable the control unit to measure the edge of the correction contour so as to obtain the depth and the bottom area of the edge of the correction contour, and calculating to obtain the volume of the animal;
E. obtaining a volume-weight conversion ratio: the control unit can identify various condition factors of the animal so as to output a volume-weight conversion ratio conforming to the condition factors;
F. animal weight was calculated: substituting the obtained animal volume into the volume-weight conversion ratio by the control unit to calculate and obtain the weight of the animal;
G. counting total weight of animals: and the control unit obtains the weights of the animals in the preset range of the cultivation area, which are shot by the shooting unit, one by one, then sums the weights of the animals for statistics, and displays the weight statistics result on a display unit.
2. The method according to claim 1, further comprising an abnormality warning step of causing the control unit to compare the thermal image of the animal with the normal body temperature of the animal to determine whether the animal is ill or dead, and if so, displaying an abnormality warning message on the display unit.
3. The method according to claim 1, wherein the condition factors of the animal identified by the control unit include at least one of a breed, a growing stage, and a growing season of the animal.
4. An animal growth identification system is characterized by mainly comprising a fixing unit, wherein the fixing unit is erected in a cultivation area, at least one shooting unit is arranged on the fixing unit, at least two stereoscopic image lenses and at least one thermal image lens are arranged in the shooting unit, a control unit is further arranged in the shooting unit and is in signal connection with the shooting unit, an animal growth identification artificial intelligent program is built in the control unit, the animal growth identification artificial intelligent program comprises a stereoscopic image contour construction module, a thermal image contour construction module, a contour correction module, a volume calculation module, a volume weight conversion module, a weight calculation module and a weight calculation module, so that the control unit is connected with each module of the animal growth identification artificial intelligent program to operate, the shooting unit shoots cultivation animals in a preset range, the shot stereoscopic image frames and thermal image frames are transmitted to the control unit, the stereoscopic image contour construction module constructs a stereoscopic image contour of an animal in the stereoscopic image frames, the stereoscopic image contour construction module calculates a contour of the animal, the thermal image contour calculation module calculates a contour of the animal contour corresponding to the animal contour, the thermal image contour calculation module calculates a depth-to-volume contour image frames, and calculates a thermal image contour correction condition of the animal contour, and the thermal image contour calculation module calculates a thermal image contour correction condition, and the weight calculation module substitutes the volume of the animal obtained from the volume calculation module into the volume-weight conversion ratio provided by the volume-weight conversion ratio module to calculate and obtain the weight of the animal, and the weight statistics module sums up the weights of a plurality of animals in a preset range shot by the shooting unit, so that the control unit is connected with a display unit to display the weight statistics result on the display unit.
5. The animal growth recognition system of claim 4, wherein the animal growth recognition artificial intelligence program further comprises an anomaly warning module that recognizes the body temperature of the animal in the thermal image to compare with the normal body temperature of the animal to determine whether the animal is ill or dead, and if so, to drive the control unit to display an anomaly warning message on the display unit.
6. The animal growth identification system of claim 4, wherein the animal condition factors identified by the volumetric weight ratio module comprise at least one of a breed, a growth stage, and a growing season of the animal.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210582104.2A CN117173733A (en) | 2022-05-26 | 2022-05-26 | Animal growth identification method and system |
| PCT/CN2023/082894 WO2023226563A1 (en) | 2022-05-26 | 2023-03-21 | Animal growth identification method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210582104.2A CN117173733A (en) | 2022-05-26 | 2022-05-26 | Animal growth identification method and system |
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| CN117173733A true CN117173733A (en) | 2023-12-05 |
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| CN202210582104.2A Pending CN117173733A (en) | 2022-05-26 | 2022-05-26 | Animal growth identification method and system |
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| Country | Link |
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| CN (1) | CN117173733A (en) |
| WO (1) | WO2023226563A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3756458A1 (en) * | 2019-06-26 | 2020-12-30 | Viking Genetics FmbA | Weight determination of an animal based on 3d imaging |
| CN111297367A (en) * | 2019-11-26 | 2020-06-19 | 北京海益同展信息科技有限公司 | Animal state monitoring method and device, electronic equipment and storage medium |
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- 2022-05-26 CN CN202210582104.2A patent/CN117173733A/en active Pending
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