Determining respiratory or circulatory health condition in animals for improved management
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
A61B-005/05
A61B-008/00
A01K-029/00
A01K-037/00
G01G-013/24
A61B-008/12
A61B-008/08
G01G-023/37
A61B-007/00
출원번호
US-0620366
(2012-09-14)
등록번호
US-8929971
(2015-01-06)
발명자
/ 주소
Haynes, John T.
Pratt, William C.
출원인 / 주소
MWI Veterinary Supply Co.
대리인 / 주소
Klarquist Sparkman, LLP
인용정보
피인용 횟수 :
1인용 특허 :
130
초록▼
A method and system for managing at least one animal is disclosed. The method can include imaging, such as ultrasound imaging, a lung of a live animal, such as a ruminant or bovine. The imaging can be performed to determine a degree of respiratory damage from past respiratory illness. After imaging,
A method and system for managing at least one animal is disclosed. The method can include imaging, such as ultrasound imaging, a lung of a live animal, such as a ruminant or bovine. The imaging can be performed to determine a degree of respiratory damage from past respiratory illness. After imaging, information regarding respiratory damage can be used to select at least one aspect of the treatment, care or disposition of the animal. For example, the information can be used to select the amount or type of feed provided to the animal at a feedlot. The information also can be used to select how long the animal should be housed at the feedlot prior to slaughter. If an animal is diagnosed with a respiratory illness, information about its degree of respiratory damage from past respiratory illness also can be used to select the appropriate medical treatment or lack of treatment.
대표청구항▼
1. A method for managing at least one animal, comprising: entering characteristic data including at least weight for an animal in a computer system, wherein the characteristic data is associated with a unique identifier for the animal in the computer system;imaging at least one lung of the animal to
1. A method for managing at least one animal, comprising: entering characteristic data including at least weight for an animal in a computer system, wherein the characteristic data is associated with a unique identifier for the animal in the computer system;imaging at least one lung of the animal to produce a first image;determining a degree of respiratory damage in the animal based upon the first image;assigning the animal a respiratory damage designation corresponding to the animal's degree of lung damage that is associated with the unique identifier for the animal;recording the respiratory damage designation in an electronic database;determining in the computer system, from at least in part the characteristic data and the respiratory damage designation, a projected target condition for the animal;determining for the animal an estimated time required to reach the projected target condition, from at least in part the projected target condition and feed ration information;selecting the animal for a group based at least in part on the estimated time required to reach the projected condition;feeding the animal with the group in a feed pen for a feeding period;administering a first feed additive to the group by dispensing the first feed additive into a first feed ration by a computerized feed additive delivery system;comparing the first image to at least one other lung image to determine whether the first image indicates active or past disease; andselecting at least one additional aspect of treatment, care, and/or disposition of the animal based at least in part on whether the first image indicates active or past disease. 2. The method according to claim 1 where comparing the first image to at least one other lung image comprises comparing grayscale intensity of the image to grayscale intensity of a plurality of images from other animals. 3. The method according to claim 1 where determining whether the first image indicates active or past disease comprises evaluating scarring, fibrosis, necrosis, other lung lesions caused by past respiratory illness, or combinations thereof. 4. The method according to claim 1 where selecting at least one additional aspect of the care, treatment, or disposition of the animal comprises determining whether to treat the animal for a respiratory illness diagnosed after assigning the respiratory damage designation. 5. The method according to claim 4 where determining whether to treat the animal comprises determining whether to administer a drug to the animal, the method further comprising: administering the drug to the animal; andadjusting the estimated time required to reach the projected condition based upon a drug withdrawal period for the drug prior to selecting the animal for a group. 6. The method according to claim 1 where selecting at least one additional aspect of treatment, care or disposition of the animal comprises selecting how long the animal should remain at the feedlot prior to slaughter. 7. The method according to claim 6 where the animal is sent to slaughter without spending any time at the feedlot. 8. The method according to claim 1, further comprising determining an estimated time to reach a target condition for the group in the feed pen based at least in part on feed ration information, a projected feed intake, a projected gain, production value, and production costs. 9. The method according to claim 1 where the computerized feed additive delivery system is operable for delivering feed additives into animal feed rations on a customized basis. 10. The method according to claim 1, further comprising determining for the animal a projected feed intake and a projected gain from at least in part the characteristic data, the projected target condition, and feed ration information. 11. The method according to claim 1, where the computer system comprises a feedlot business system (FBS) computer capable of performing feedlot accounting functions and passing data back and forth between the FBS computer and one or more various computers used in the computer system, the method further comprising: calculating total feed consumption for all animals in the group;calculating a pro rata share for each animal in the group;comparing the total feed consumption to an actual amount fed to the animals in the group;allocating the actual amount fed to the group on a pro rata basis to each animal in the group to provide a pro rata feed allocation; andstoring the pro rata feed allocation in the FBS computer. 12. The method according to claim 1, further comprising determining a revised estimated time to reach the projected target condition for the animal based at least in part on actual feed intake, a projected gain, a production value, production costs, and combinations thereof. 13. The method according to claim 1, further comprising dispensing the first feed additive at a determined optimum time prior to shipment of the group from the feedlot for determining optimum economic value for the group. 14. The method according to claim 13 where determining the optimum economic value includes projecting marketing dates of animals, utilizing projected production costs of animals compared to projected market value of such animals, and using that data to select individual animals or groups of animals for shipment to slaughter on a date to substantially maximize economic return of the selected individual animal or group. 15. The method according to claim 1, further comprising dispensing the first feed additive into the first feed ration at a time prior to an estimated time required to reach a projected condition of the group to facilitate substantially optimizing an economic value of the group. 16. The method according to claim 1, further comprising dispensing a subsequent feed additive into a subsequent feed ration by the computerized feed additive delivery system, wherein the first feed additive and the subsequent feed additive are different. 17. The method according to claim 16 where at least one of the first feed additive and the subsequent feed additive is a growth promotant. 18. The method according to claim 16, further comprising discontinuing dispensing at least one of the first feed additive or the subsequent feed additive to provide a withdrawal period for the discontinued feed additive. 19. The method according to claim 1, further comprising discontinuing dispensing the first feed additive into the first feed ration for the group to provide a withdrawal period for the feed additive. 20. The method according to claim 1 where the first feed additive is a growth promotant. 21. The method according to claim 20 where the growth promotant is an ionophore. 22. The method according to claim 1, further comprising using the computerized feed additive delivery system to dispense multiple feed additives into the first feed ration for administering the multiple feed additives to the group during the feeding period. 23. The method of claim 1, further comprising selecting animals from the group for further processing or management, wherein selecting animals for further processing or management includes one or more of the following: selecting a time to administer a feed additive growth promotant to the animals;selecting a growth promotant for administering to an individual animal at a processing location;selecting a feed additive for feeding to the animals;selecting a feed ration for feeding to the animals;selecting a health treatment for administering to an individual animal at a processing location;selecting a health feed additive for feeding to the animals;selecting a product for feeding to the animals for improving the quality grading and value of the beef from the animals;selecting a product for administering to an individual animal at a processing location for improving the quality grading and value of the beef from the individual animal;selecting animals for shipment to slaughter when a drug withdrawal period has expired for a drug requiring a withdrawal period;selecting animals for health condition treatment or management; andselecting and removing animals for shipment to slaughter utilizing at least in part an estimated time required to reach an optimum economic value of the animals.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (130)
Kuzara James H. (Sheridan WY), Animal feeding and monitoring system.
Pavlak, Thomas; Anderson, Arlen; Carisch, James; Ackerman, Michael A., Apparatus and method for delivering feed rations along a feedbunk using a global positioning system.
Cureton J. Sam ; Pavlak Thomas ; Carisch James ; Ackerman Michael A. ; Anderson Arlen, Apparatus and method for uniformly delivering feed rations along a feedbunk using global positioning system.
Brown Ian A. (Three Rivers CA) McMahon Dennis R. (Three Rivers CA) Rosas Robin R. (Three Rivers CA) Scopatz Stephen D. (Simi Valley CA) Wind Karen L. (Three Rivers CA), Apparatus for sizing and sorting articles.
Street Michael J. (Bedford GB2) Benson John A. (Wootton GB2) Marchant John A. (Bedford GB2) Wilkin Arthur L. (Hitchin GB2) Allen Clive J. (Bracknell GB2), Automatic milking of animals.
Pratt William C. (Canyon TX) McKillip William D. (Amarillo TX), Computerized process and system for assigning and delivering feed to animals in a feedlot.
Stouffer James R. (Ithaca NY) Miller Dale C. (Apex NC) Liu Yujun (Ithaca NY), Detection of abnormal bone structure in animals and carcasses with ultrasound.
Cureton J. Sam (Garden City KS) Ackerman Michael A. (Windsor CO) Carish James (Denver CO), Feedlot computer network installation and interactive method of using the same to assign feed loads and animal pen subse.
Hoff Charles Henry ; Bergen Bernard John, Intelligent system and process for automated monitoring of microingredient inventory used in the manufacture of medicat.
Hoff Charles H. (Ault CO) Bergen Bernard J. (Encinitas CA), Intelligent system and process for automated monitoring of microingredient inventory used in the manufacture of medicate.
Stroman, Richard D.; Afimiwala, Khurshid A.; Gibb, James B.; Brink, Philip C.; Crain, Scott L.; Niedecken, Timothy G., Livestock management systems and methods.
Petersen Freddy (Jyllinge DKX) Soerensen Svend E. (Albertslund DKX) Klastrup Signe (Valby DKX), Method and apparatus for classifying livestock carcasses and in particular cattle carcasses using a data processing syst.
Stouffer James R. (Ithaca NY) Liu Yujun (Ithaca NY) Newman Steven K. (Lansing NY), Method and apparatus for positioning an ultrasonic transducer and a display screen.
Brewster Sherman H. (Filer ID) Cureton J. Sam (Garden City KS) Carish James (Denver CO) Ackerman Michael A. (Windsor CO), Method and apparatus for uniform delivery of feed ration along a feedbunk.
Tong Alan Kwai-Wah,CAX ; Robinson David John,CAX ; Liu Tong,CAX, Method and apparatus for using image analysis to determine meat and carcass characteristics.
Hoff Steven J. (Ames IA) Honeyman Mark S. (Ames IA) McKean James D. (Ames IA) Stevermer Emmett J. (Ames IA) Bundy Dwaine S. (Ames IA) Perez-Munoz Fernando (Ames IA) Bryce Steven E. (Souderton PA) Bac, Method and means for quasi ad-libitum feeding for gestation sows in loose housing.
Pape, William R.; Morrison, Matthew J.; Dolan, Andrew J.; Curkendall, Leland D.; Armentrout, Olin M., Method and system for livestock data collection and management.
Oldham Courtney A. ; Curkendall Leland D., Method and system for manual entry of data into integrated electronic database for livestock data collection.
Meister Jack B. (Convent Station NJ) Van Winkle David W. (Flanders NJ), Method and system for monitoring the dispensing of drugs or nutrients to animals.
Pratt William C. (Canyon TX) McKillip William D. (Amarillo TX), Method and system for providing animal health histories and tracking inventory of drugs.
Chevalier Patrick (Olle) Villemin Michele (Ormesson Sur Marne) Plusa Janusz (Sucy En Brie) Leclere Jean (Creteil FRX), Method for grading carcasses of large cattle, calves, hogs, or sheep and device for implementation thereof.
Cureton, J. Sam; Pavlak, Thomas; Carisch, James; Ackerman, Michael A.; Anderson, Arlen, Satellite based global positioning system for feedlot computer network and method.
Engelke, Gregory L.; Burghardi, Steve R.; Cook, David A.; Giesting, Donald W.; McGoogan, Bruce Brim; Messman, Michael A.; Newcomb, Mark D.; van de Ligt, Jennifer L. G., System and method for optimizing animal production based on empirical feedback.
McGoogan, Bruce Brim; Barziza, Daniel; Burghardi, Steve R.; Cook, David A.; Engelke, Gregory L.; Giesting, Donald W.; Messman, Michael A.; Newcomb, Mark D.; van de Ligt, Jennifer L. G., System and method for optimizing animal production based on environmental nutrient inputs.
Azizi S. Massoud (19636 Crystal Ridge La. Northridge CA 91326) Azizi S. Masih (7141 Scenic Cir. Anaheim Hills CA 92807), System and method for tracking and locating an object.
Brewster Sherman H. ; Cureton J. Sam ; Carish James ; Ackerman Michael A., System and method for uniformly delivering feed rations to the feedbunks of animal pens in a feedlot.
Anderson Arlen ; Ackerman Michael ; Cureton Samuel ; Carish James, System for carrying out and managing animal feedlot operations using coordinate acquisition techniques.
Pavlak, Thomas; Anderson, Arlen; Carisch, James; Ackerman, Michael A., Systems and methods for delivering feed rations to feedbunks using a global positioning system.
Johnson, Colin Francis; St George, Owen Richard; Greenman, Murray; Irving, Gordon Douglas; Sommerville, Christopher Lee, Terminal for an active labelling system.
Andoni, Sari; Moore, Keith D.; Husain, Syed Mohammad Amir, Cooperative execution of a genetic algorithm with an efficient training algorithm for data-driven model creation.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.