WO2018143889A1 - Systèmes et procédés permettant de déterminer la probabilité d'états chez un bovin - Google Patents

Systèmes et procédés permettant de déterminer la probabilité d'états chez un bovin Download PDF

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Publication number
WO2018143889A1
WO2018143889A1 PCT/SE2018/050100 SE2018050100W WO2018143889A1 WO 2018143889 A1 WO2018143889 A1 WO 2018143889A1 SE 2018050100 W SE2018050100 W SE 2018050100W WO 2018143889 A1 WO2018143889 A1 WO 2018143889A1
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WO
WIPO (PCT)
Prior art keywords
cattle
images
animal
thermal
determining
Prior art date
Application number
PCT/SE2018/050100
Other languages
English (en)
Inventor
Graham Mccarthy
Korduner GABRIEL
Original Assignee
Bmp Innovation Ab
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Bmp Innovation Ab filed Critical Bmp Innovation Ab
Priority to EP18706875.4A priority Critical patent/EP3576523A1/fr
Priority to CA3056221A priority patent/CA3056221A1/fr
Publication of WO2018143889A1 publication Critical patent/WO2018143889A1/fr

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Classifications

    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61D—VETERINARY INSTRUMENTS, IMPLEMENTS, TOOLS, OR METHODS
    • A61D17/00—Devices for indicating trouble during labour of animals ; Methods or instruments for detecting pregnancy-related states of animals
    • A61D17/002—Devices for indicating trouble during labour of animals ; Methods or instruments for detecting pregnancy-related states of animals for detecting period of heat of animals, i.e. for detecting oestrus
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion

Definitions

  • An object of the present invention is to solve at least some of the problems outlined above.
  • An object is to provide systems and method for determining likelihoods of states in cattle animal, such as oestrus, pregnancy and parturition. By having such a determination of likelihoods, resource efficiency can be greatly increased, e.g. by decreasing the amount of failed inseminations.
  • a method for determining a likelihood for a state of an animal comprises capturing a plurality of images of a cattle animal, in some embodiments this is done with a thermal imager.
  • the step of determining a movement of the cattle animal comprises comparing measurements from the captured images with images in a database and choosing a movement that correlates best with the captured images, from a database with a plurality of movements.
  • the step of determining a movement may comprise using
  • the thermal images are taken from a position above the cattle animals. This makes it easier to distinguish between different cattle animals when using thermal images.
  • the step of capturing images lasts for approximately 1 minute. In other embodiments, the thermal images may be captured over a longer period of time, such as 30 minutes or 60 minutes. In embodiments lasting a longer time, it is possible that multiple movement patterns are recorded for each monitored cattle animal.
  • the method comprises capturing video, by the thermal imagers, rather than multiple images of the animal or animals for which the likelihood of a state is being determined.
  • step S100 comprises continually monitoring an area comprising a plurality of cattle animals, either by capturing video or my capturing multiple images over time with a relatively low time in between images, and continuously performing the subsequent steps of the method as well, for each of the plurality of cattle animals being monitored.
  • step S107 comprises approximating the cows identified in a figure with ellipses, such that one ellipse approximates the body and one ellipse approximates the head of the cow.
  • Fig. 5 comprising the same cows as in the first image, with the addition of the ellipses approximating the shapes of the animals 500, 510, 520.
  • no approximation of the head will be done.
  • an approximation of the only body of an animal may be useful for determining movement patterns.
  • the comparing step S120 is a comparison between approximations of cattle animal of interest and of approximations of reference movement patters. The same type of approximation is then used for the reference movement patterns as is used for the approximation of the cattle animal of interest.
  • the comparing step S120 comprises comparing data extracted from the thermal images of the cattle animals of interest with data extracted from reference images, such as e.g. the positional differences of the geometrical approximations between images. Comparing data extracted from the thermal images may be done by comparing data extracted from images using approximations of cattle animals as well as by comparing data extracted from images without approximations.
  • the method comprises monitoring multiple animals, capturing a plurality of thermal images, or video, of multiple cattle animals, and then performing the method steps for an individual animal among said multiple cattle animals. In some embodiments, the method comprises monitoring multiple animals, capturing a plurality of thermal images, or video, of multiple cattle animals, and then performing the method steps for each animal among said multiple cattle animals. In some embodiments, the method comprises monitoring multiple animals, capturing a plurality of thermal images, or video, of multiple animals, and then performing the method steps for some, but not all, of said multiple cattle animals.
  • the entities of the system may be connected to each other by any means suitable for the implementation, such as for instance by means of cable or wirelessly. It is also possible to have a mix between wired and wireless

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Environmental Sciences (AREA)
  • Animal Husbandry (AREA)
  • Biophysics (AREA)
  • Health & Medical Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Veterinary Medicine (AREA)
  • Pregnancy & Childbirth (AREA)
  • Zoology (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Wood Science & Technology (AREA)
  • Engineering & Computer Science (AREA)
  • Image Analysis (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

L'invention concerne un procédé permettant de déterminer une probabilité d'un état d'un bovin. Le procédé consiste à capturer (S100), au moyen d'un dispositif d'imagerie thermique, une pluralité d'images d'un bovin, à analyser (S105) une caractéristique thermique des images et à déterminer (S110), sur la base de la pluralité d'images, un modèle de mouvement du bovin. Le procédé consiste en outre à comparer (S120) le modèle de mouvement déterminé avec un modèle de mouvement de référence, puis à déterminer (S130), sur la base de la comparaison, si le modèle de mouvement détecté est en corrélation avec un état connu parmi une pluralité d'états connus, la pluralité d'états connus comprenant au moins l'œstrus, la gestation et la parturition. Le procédé consiste en outre à délivrer (S140), sur la base de la détermination, une valeur de probabilité d'au moins un état parmi la pluralité d'états connus.
PCT/SE2018/050100 2017-02-03 2018-02-05 Systèmes et procédés permettant de déterminer la probabilité d'états chez un bovin WO2018143889A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP18706875.4A EP3576523A1 (fr) 2017-02-03 2018-02-05 Systèmes et procédés permettant de déterminer la probabilité d'états chez un bovin
CA3056221A CA3056221A1 (fr) 2017-02-03 2018-02-05 Systemes et procedes permettant de determiner la probabilite d'etats chez un bovin

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SE1750095A SE541887C2 (en) 2017-02-03 2017-02-03 Systems and methods for determining likelihood of states in cattle animal
SE1750095-0 2017-02-03

Publications (1)

Publication Number Publication Date
WO2018143889A1 true WO2018143889A1 (fr) 2018-08-09

Family

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Family Applications (1)

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PCT/SE2018/050100 WO2018143889A1 (fr) 2017-02-03 2018-02-05 Systèmes et procédés permettant de déterminer la probabilité d'états chez un bovin

Country Status (4)

Country Link
EP (1) EP3576523A1 (fr)
CA (1) CA3056221A1 (fr)
SE (1) SE541887C2 (fr)
WO (1) WO2018143889A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110897756A (zh) * 2018-09-17 2020-03-24 阿里巴巴集团控股有限公司 一种预测目标对象发情状态的方法及系统
WO2021029806A1 (fr) * 2019-08-13 2021-02-18 Delaval Holding Ab Procédé et arrangement de nettoyage d'étable
EP4135570A4 (fr) * 2020-04-17 2024-04-17 Univ Alberta Appareil et méthodologies pour une détection améliorée d'états biologiques importants chez des animaux

Citations (3)

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WO2011120529A1 (fr) * 2010-03-31 2011-10-06 Københavns Universitet Modèle destiné à classer l'activité d'un animal
NZ582407A (en) * 2010-12-21 2012-01-12 Dairy Automation Ltd Detection method for detecting presence of oestrus in a milking animal
US20120259227A1 (en) * 2009-12-24 2012-10-11 Allan Walter Wilson Detection method

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Publication number Priority date Publication date Assignee Title
NZ528756A (en) * 2003-12-22 2006-10-27 Dexcel Ltd Oestrus detection system
WO2010055205A1 (fr) * 2008-11-11 2010-05-20 Reijo Kortesalmi Procédé, système et programme informatique de surveillance d'une personne
US9565837B2 (en) * 2011-03-28 2017-02-14 Clover Bench Apparatus and method for using infrared thermography and behaviour information for identification of biologically important states in animals
CA2854345C (fr) * 2014-06-16 2022-05-03 Allan SCHAEFER Determination rapide et automatique de l'efficacite metabolique du betail
DK3264886T3 (da) * 2015-03-03 2022-08-29 Farrowtech Aps System og fremgangsmåde til observation af pattegrisefødsel

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120259227A1 (en) * 2009-12-24 2012-10-11 Allan Walter Wilson Detection method
WO2011120529A1 (fr) * 2010-03-31 2011-10-06 Københavns Universitet Modèle destiné à classer l'activité d'un animal
NZ582407A (en) * 2010-12-21 2012-01-12 Dairy Automation Ltd Detection method for detecting presence of oestrus in a milking animal

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
CORNOU ET AL: "Automated oestrus detection methods in group housed sows: Review of the current methods and perspectives for development", LIVESTOCK SCIENCE, ELSEVIER, AMSTERDAM, NL, vol. 105, no. 1-3, 1 December 2006 (2006-12-01), pages 1 - 11, XP028019123, ISSN: 1871-1413, [retrieved on 20061201], DOI: 10.1016/J.LIVSCI.2006.05.023 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110897756A (zh) * 2018-09-17 2020-03-24 阿里巴巴集团控股有限公司 一种预测目标对象发情状态的方法及系统
WO2021029806A1 (fr) * 2019-08-13 2021-02-18 Delaval Holding Ab Procédé et arrangement de nettoyage d'étable
EP4135570A4 (fr) * 2020-04-17 2024-04-17 Univ Alberta Appareil et méthodologies pour une détection améliorée d'états biologiques importants chez des animaux

Also Published As

Publication number Publication date
EP3576523A1 (fr) 2019-12-11
CA3056221A1 (fr) 2018-08-09
SE1750095A1 (sv) 2018-08-04
SE541887C2 (en) 2020-01-02

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