EP2879615B1 - Procédé de détection de la probabilité d'un oestrus - Google Patents
Procédé de détection de la probabilité d'un oestrus Download PDFInfo
- Publication number
- EP2879615B1 EP2879615B1 EP13736828.8A EP13736828A EP2879615B1 EP 2879615 B1 EP2879615 B1 EP 2879615B1 EP 13736828 A EP13736828 A EP 13736828A EP 2879615 B1 EP2879615 B1 EP 2879615B1
- Authority
- EP
- European Patent Office
- Prior art keywords
- animal
- time
- period
- value
- animals
- 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.)
- Not-in-force
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Classifications
-
- 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
Definitions
- the invention relates to a method for detecting the likelihood of estrus in a female non-human mammal, in particular a bovine.
- the quality of the heat detection has a great influence on the profitability of dairy cattle farms. Inadequacies in this area inevitably lead to worse fertility indicators and have a negative impact on the economic performance of the farm. It is becoming increasingly difficult for dairy farmers to recognize a heat and use it for successful insemination. On the one hand, the cows show increasingly fewer and shorter ostentatious symptoms due to the current husbandry conditions; on the other hand, farmers can often spend too little time on visual observation of oestrus due to the greatly altered working conditions.
- the WO2009 / 011641 A1 describes a method of inferring the activity of the animal on the oestrus.
- the steps of the animal are counted (pedometry) and the data sporadically (mostly when milking) read out of the sensors.
- the cited document also describes the consideration of other events for determining estrus, eg the day of the last calving or the measurement of the progesterone content in the milk. These are factors which only very approximate conclusions on the Allow time of heat or are unsuitable for daily use on a farm.
- the method according to the invention is initially based on the knowledge that a first measure of the presence of heat in the animals in question is their movement activity. This has, as studies have shown, directly related to the progesterone content in milk and blood, so that an observation of the movement activity allows a first conclusion on the probability of estrus.
- a further parameter is evaluated for those animals in which an increased movement activity could be detected in a predetermined period of time, namely retrograde for the same period in which the increased movement activity was present.
- This second parameter stands for the group formation of the animal with at least one other, similar animal from the group. Group formation is also a property associated with the probability of estrus. One speaks in this respect of sexually active groups.
- the method can be carried out for example in a cattle bovine, which is equipped with at least one, preferably with a plurality of video cameras for receiving the cattle from above.
- the outputs of the cameras are connected to a computerized image processing system.
- the image processing system is able to reliably detect each individual animal in the group of animals in the playpen. This can be done for example on the basis of a characteristic patterning of the coat of the animals or by applying a pattern to the back or neck area of the animals, in particular in the form of a two-dimensional matrix code.
- Other non-optical methods e.g. RFID sensors and corresponding sensors are also possible, as well as the combination of non-optical and optical methods. In any case, it must be ensured that the computerized evaluation unit can reliably determine the location of each individual animal within the playhouse at all times.
- the instantaneous movement activity is continuously determined for each individual animal of the group.
- the movement activity is in the simplest case the current speed of the animal or the determined over a certain period average speed of the same, so the distance traveled in a certain time path.
- This parameter can be readily determined and updated for each animal with the above-mentioned image processing methods and the associated computer-technical evaluation. In this way, a substantially constant average of the movement activity is created for each animal.
- the factor by which the mean value of the movement activity is to be exceeded here can be between 10% and 2500% of the average movement activity.
- the factor should be selected so high that a purely random exceeding of the limit does not result in a selection.
- random deviations must also be taken into account, ie the "background noise" of the average movement activity. The lower this background noise, the lower the limit can be set, from which a selection of the animal takes place.
- an animal Once an animal has been selected in which the average of the movement activity has been above the threshold for a certain period of time, it is examined for the same animal for the same period on the basis of the stored movement data, if it has participated more than average in group formation. Decisive here can be the distance of the respective animal to at least one other, similar animal in the relevant period. In a first approximation, a predetermined distance value can be set and the parameters that are specific for the group formation of the animal can then be set to positive if this distance value is undershot. In the context of a more detailed evaluation, additional times may be taken into account during which the value of the distance is greater than the predetermined distance and a weighting takes place, after which proportionally a smaller, effective time is assigned to larger distances. In this way, a second, namely the group formation parameter, is set for the same animals that have already noticed positively in the first parameter directed to the movement activity.
- the farmer can check the video recording retrograde again following the fully automated procedure and visually check those animals in which an output for the probability of heat has been generated in the third method step. Based on his experience, the farmer immediately recognizes whether these animals are actually fervent, for example by analyzing additional visual parameters such as tolerance or jumping.
- This third process step can be made easier for the farmer by, in a fourth process step, visually highlighting, for example color-coded, the animals on which an output for the probability of heat has been generated on the video screen so that the farmer immediately recognizes which one Animals should be observed separately.
- the method according to the invention can preferably be used in cattle but also in other cloven-hoofed animals.
- the probability of heat is preferably output as a percentage.
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pregnancy & Childbirth (AREA)
- Engineering & Computer Science (AREA)
- Animal Husbandry (AREA)
- Wood Science & Technology (AREA)
- Zoology (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Investigating Or Analysing Biological Materials (AREA)
Claims (12)
- Procédé de détection d'un oestrus chez un mammifère femelle non humain dans un groupe d'animaux de même type, dans lequel dans une première étape du procédé, un paramètre spécifique de l'activité physique de l'animal est capté en fonction du temps et l'animal est sélectionné pour une autre évaluation si ce paramètre, sur une durée prédéterminée, se situe au-dessus d'un seuil prédéterminé supérieur à la moyenne du paramètre spécifique de l'activité physique chez l'animal correspondant, caractérisé en ce que dans une deuxième étape du procédé pour le même laps de temps, on détermine la durée pendant laquelle la distance de l'animal par rapport à au moins un autre animal de même type est inférieure à une valeur prédéterminée, et dans une troisième étape du procédé, une donnée de sortie pour la probabilité d'un oestrus de l'animal est générée en fonction de cette durée.
- Procédé selon la revendication 1, caractérisé en ce que le mammifère femelle non humain est un bi-ongulé, en particulier, un bovin, un porcin, un caprin, un ovin ou un camélidé.
- Procédé selon l'une des revendications précédentes, caractérisé en ce que le paramètre spécifique pour l'activité physique de l'animal est le chemin parcouru par l'animal pendant une durée déterminée.
- Procédé selon l'une des revendications précédentes, caractérisé en ce que la valeur seuil prédéterminée est supérieure d'un facteur entre 1,1 et 25 à la moyenne du paramètre spécifique pour l'activité physique.
- Procédé selon l'une des revendications précédentes, caractérisé en ce que lors de la détermination de la valeur de la durée, on prend en compte en outre des temps pendant lesquels la valeur de la distance est supérieure à la distance prédéterminée, et une pondération a lieu de telle sorte qu'aux distances plus grandes est affectée proportionnellement une durée effective plus petite.
- Procédé selon l'une des revendications précédentes, caractérisé en ce que le groupe d'animaux du même type est observé avec un système de surveillance optique et ensuite par traitement informatique des images et chaque animal du groupe porte un marqueur de détection optique spécifique.
- Procédé selon la revendication 6, caractérisé en ce que le marqueur optique spécifique est le dessin du pelage de l'animal.
- Procédé selon la revendication 6, caractérisé en ce que le marqueur optique spécifique est un motif appliqué sur l'animal, en particulier un code matrice bidimensionnel.
- Procédé selon l'une des revendications précédentes, caractérisé en ce que la surveillance du groupe d'animaux du même type s'effectue (en outre) par des émetteurs et capteurs RFID et ensuite, une analyse informatique.
- Procédé selon l'une des revendications précédentes, caractérisé en ce que pour la détermination de la probabilité d'un oestrus de l'animal, la valeur du paramètre spécifique pour l'activité physique de l'animal est en outre prise en compte dans le sens d'une corrélation croisée avec la valeur de la durée dans le temps prédéterminé, dans lequel la distance de l'animal est inférieure à au moins une autre valeur prédéterminée d'un autre animal du même type.
- Procédé selon l'une des revendications précédentes, caractérisé en ce que la probabilité d'un oestrus de l'animal est donnée en pourcentage.
- Procédé selon l'une des revendications 6 à 11, caractérisé en ce que pendant la période totale de surveillance, une surveillance vidéo de tous les animaux est réalisée et les animaux chez lesquels dans une troisième étape du procédé, une donnée de sortie de probabilité d'un oestrusa été générée, sont mis en évidence graphiquement ou en couleur dans les données d'image enregistrées de la surveillance vidéo.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102012107012.1A DE102012107012A1 (de) | 2012-08-01 | 2012-08-01 | Verfahren zur Erkennung der Wahrscheinlichkeit einer Brunst |
PCT/EP2013/063960 WO2014019791A1 (fr) | 2012-08-01 | 2013-07-02 | Procédé de détection de la probabilité d'un oestrus |
Publications (2)
Publication Number | Publication Date |
---|---|
EP2879615A1 EP2879615A1 (fr) | 2015-06-10 |
EP2879615B1 true EP2879615B1 (fr) | 2016-09-14 |
Family
ID=48790383
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP13736828.8A Not-in-force EP2879615B1 (fr) | 2012-08-01 | 2013-07-02 | Procédé de détection de la probabilité d'un oestrus |
Country Status (6)
Country | Link |
---|---|
EP (1) | EP2879615B1 (fr) |
DE (1) | DE102012107012A1 (fr) |
DK (1) | DK2879615T3 (fr) |
IL (1) | IL237002A0 (fr) |
LT (1) | LT2879615T (fr) |
WO (1) | WO2014019791A1 (fr) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102020103742A1 (de) | 2020-02-13 | 2021-08-19 | Cattledata Gmbh | Verfahren zur Verfolgung des Aufenthaltsortes von Nutztieren |
Families Citing this family (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3122173B2 (fr) | 2014-03-26 | 2024-05-29 | SCR Engineers Ltd | Système de localisation de bétail |
AT515870A3 (de) | 2014-06-05 | 2022-06-15 | Smartbow Gmbh | Datennetzwerk für die Überwachung von Tieren |
US10986817B2 (en) | 2014-09-05 | 2021-04-27 | Intervet Inc. | Method and system for tracking health in animal populations |
US11071279B2 (en) | 2014-09-05 | 2021-07-27 | Intervet Inc. | Method and system for tracking health in animal populations |
WO2019209712A1 (fr) | 2018-04-22 | 2019-10-31 | Vence, Corp. | Système et procédé de gestion de bétail |
GB2592784B (en) | 2018-10-10 | 2022-12-14 | Scr Eng Ltd | Livestock dry off method and device |
USD990062S1 (en) | 2020-06-18 | 2023-06-20 | S.C.R. (Engineers) Limited | Animal ear tag |
USD990063S1 (en) | 2020-06-18 | 2023-06-20 | S.C.R. (Engineers) Limited | Animal ear tag |
IL275518B (en) | 2020-06-18 | 2021-10-31 | Scr Eng Ltd | Animal tag |
IL275812B (en) | 2020-07-01 | 2022-01-01 | Scr Eng Ltd | System and method for placing devices |
RU2757683C1 (ru) * | 2020-09-22 | 2021-10-20 | Общество с ограниченной ответственностью "Научно-производственная компания "Биосенсорика" | Способ определения состояния половой охоты сельскохозяйственного животного |
CA3200086A1 (fr) | 2020-11-25 | 2022-06-02 | Identigen Limited | Systeme et procede de pistage d'individus d'une population animale |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0858641B1 (fr) * | 1995-10-27 | 2002-02-20 | Alfa Laval Agri Ab | Analyse des teintes d'images pour l'elevage d'animaux |
DE10016688C2 (de) * | 2000-04-04 | 2003-12-24 | Deutsch Zentr Luft & Raumfahrt | Verfahren zur Detektion von Tieren und/oder Gelegen von Bodenbrütern in deren natürlichem Lebensraum sowie Einrichtungen zur Durchführung des Verfahrens |
NZ528756A (en) * | 2003-12-22 | 2006-10-27 | Dexcel Ltd | Oestrus detection system |
DE102005032240A1 (de) | 2005-07-01 | 2007-01-04 | Forschungsinstitut Für Die Biologie Landwirtschaftlicher Nutztiere | Verfahren zur Erkennung der Brunst |
WO2009011641A1 (fr) * | 2007-07-13 | 2009-01-22 | Delaval Holding Ab | Procédé pour détecter un comportement oestrale d'un animal à lait |
GB0822580D0 (en) * | 2008-12-11 | 2009-01-14 | Faire Ni Ltd | An animal monitoring system and method |
AT510923A1 (de) * | 2010-12-15 | 2012-07-15 | Mkw Electronics Gmbh | Verfahren zum anzeigen einer einem tier zugeordneten information |
-
2012
- 2012-08-01 DE DE102012107012.1A patent/DE102012107012A1/de not_active Ceased
-
2013
- 2013-07-02 DK DK13736828.8T patent/DK2879615T3/da active
- 2013-07-02 EP EP13736828.8A patent/EP2879615B1/fr not_active Not-in-force
- 2013-07-02 LT LTEP13736828.8T patent/LT2879615T/lt unknown
- 2013-07-02 WO PCT/EP2013/063960 patent/WO2014019791A1/fr active Application Filing
-
2015
- 2015-01-29 IL IL237002A patent/IL237002A0/en unknown
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102020103742A1 (de) | 2020-02-13 | 2021-08-19 | Cattledata Gmbh | Verfahren zur Verfolgung des Aufenthaltsortes von Nutztieren |
Also Published As
Publication number | Publication date |
---|---|
EP2879615A1 (fr) | 2015-06-10 |
DE102012107012A1 (de) | 2014-02-06 |
IL237002A0 (en) | 2015-03-31 |
WO2014019791A1 (fr) | 2014-02-06 |
DK2879615T3 (da) | 2017-01-02 |
LT2879615T (lt) | 2016-11-25 |
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