Apparatus and method for detecting disease in dairy animals

• US 9,766,263 B2
• Filed: 04/28/2011
• Issued: 09/19/2017
• Est. Priority Date: 04/30/2010
• Status: Active Grant

• Current Assignee: IceRobotics Limited (Icerobotics Holdings Ltd.)
• Original Assignee: IceRobotics Limited (Icerobotics Holdings Ltd.)
• Inventors: Gyngy, Istvn, Boyce, Robert Eric, White, Antonia Catherine
• Primary Examiner(s): Breene, John
• Assistant Examiner(s): ISLAM, MOHAMMAD K
• Application Number:
  US13/695,504
• Publication Number:
  US 20130138389A1
• Time in Patent Office: 2,336 Days
• CPC Class Codes: A61B 2503/40 Animals
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: G01P 15/00 Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration

Abstract

Disclosed is apparatus and a method for detecting udder disease in dairy animals. An accelerometer is attached to each of a plurality of dairy animals. A processor determines a measure of the activity of the dairy animals to which the accelerometers are attached. Data is recorded by and automatically transmitted from a sensor unit secured to an animal, without the requirement for costly and time consuming chemical analysis of milk, or of visual or veterinary inspection of individual animals in a herd. The development of an udder disease in a dairy animal, such as mastitis, may be identified from a decrease in the monitored measure of activity of a dairy animal. A separate baseline measure of activity may be determined for each dairy animal and the activity of a plurality of dairy animals in one or more herds may be taken into account, in order to reduce false positives due to external effects which are not specific to a single dairy animal.

Claims

1. An Apparatus for detecting udder disease in a dairy animal, the apparatus comprising:

at least one accelerometer for attachment to a leg of the dairy animal; and

a processor operable to;

determine a measure of activity of the dairy animal to which the accelerometer is attached based on measurements from the accelerometer, wherein the determined measure of activity is a motion index calculated based on a measured net acceleration, minus an offset for gravity, of the accelerometer, summed over a period of time;

determine a measure of feeding of the dairy animal from a second sensor in a region of head or neck of the dairy animal, the measurement from the second sensor distinguishing feeding from activity associated with walking or kicking, and

determine that the diary animal has the udder disease from a change in the measure of activity of the dairy animal based on the measurements from the at least one accelerometer and also the measure of feeding of the dairy animal obtained from the second sensor, and thereby detect the udder disease in the dairy animal based upon the determination.

2. The apparatus according to claim 1, comprising a health condition detection module, operable to determine an acceptable of the measure of activity or an acceptable range of the measure of activity, of the dairy animal over one or more first periods, and operable to determine that the dairy animal has or may have the udder disease from the change in the measured of activity of the dairy animal from the acceptable measure, or the acceptable range of the measure, during one or more second periods.

3. The apparatus according to claim 1, comprising a plurality of accelerometers for monitoring the measure of the activity of one or more further dairy animals.

4. The apparatus according to claim 1, comprising a central data receiving unit, operable to receive data relating to the activity of the each dairy animal, from one or more sensor units, each said sensor unit secured or securable to the dairy animal and comprising the accelerometer.

5. The apparatus according to claim 4, wherein each said sensor unit comprises a transmitter, operable to transmit the activity related data to the data receiving unit.

6. The apparatus according to claim 1, wherein the at least one accelerometer is operable to identify motion which does not involve net horizontal displacement of the dairy animal.

7. The apparatus according to claim 1, wherein the at least one accelerometer can identify motion which involves the net horizontal displacement of the dairy animal.

8. The apparatus according to claim 1, wherein the at least one accelerometer is operable to distinguish motion in more than one direction, and wherein data from the at least one accelerometer may be used to distinguish between different types of activity, wherein the different types of activity are selected from a group consisting of:

walking, feeding, standing, lying and transitioning between standing and lying.

9. A method of determining a presence of an udder disease in a dairy animal, comprising:

using a computer processor,

determining a measure of activity of the dairy animal using at least one accelerometer attached to a leg of the dairy animal, wherein the determined measure of activity is a motion index calculated based on a measured net acceleration, minus an offset for gravity, of the accelerometer, summed over a period of time,

determining a measure of feeding activity of the dairy animal from a second sensor in a region of head or neck of the dairy animal, the measurement from the second sensor distinguishing feeding from activity associated with walking or kicking, and

determining, that the dairy animal has the udder disease from a change in the measure of activity of the dairy animal based on the measurements from the at least one accelerometer and also the measure of feeding of the dairy animal obtained from the second sensor, and thereby detecting the udder disease in the dairy animal based upon the determination.

10. The method according to claim 9, comprising determining an acceptable of the measure of activity, or an acceptable range of the measure of activity, of the dairy animal over one or more first periods and determining that the dairy animal has or may have an udder disease from the change in the measure of activity of the dairy animal from the acceptable of the measure of activity, or the acceptable range of the measure of activity, during one or more second periods.

11. The method according to claim 10, wherein the acceptable measure of the activity is determined by taking into account one or more of:

a time of day, a time of year, or an activity which is currently being carried out, or known health conditions of the dairy animal.

12. The method according to claim 9, comprising monitoring the measure of the activity of one or more further dairy animals to thereby distinguish the change in the measure of activity of the dairy animal from a change in the measure of activity of the one or more further dairy animals.

13. The method according to claim 12, wherein the acceptable measure of activity or the acceptable range of the measure of activity, of the dairy animal may be determined taking into account the measure of activity of one or more of the one or more further dairy animals.

14. The method according to claim 9, wherein one or more further motion sensors is or are secured to the each dairy animal.

15. The method according to claim 9, comprising thereby detecting mastitis using the determined measure of activity of the dairy animal to which the accelerometer is attached.

16. The method according to claim 9, comprising a estimating somatic cell count.

17. A non-transitory computer readable medium encoded with a computer software program which, when executed on a computer processor, causes the computer processor to:

determine a measure of activity of the dairy animal using an accelerometer attached to a leg of the dairy animal, wherein the determined measure of activity is a motion index calculated based on a measured net acceleration, minus an offset for gravity, of the accelerometer, summed over a period of time,

determine a measure of feeding activity of the dairy animal from a second sensor in a region of head or neck of the dairy animal, the measurement from the second sensor distinguishing feeding from activity associated with walking or kicking, and

determine that the dairy animal has an udder disease from a change in the measure of activity of the dairy animal based on the measurements from the at least one accelerometer and also the measure of feeding activity of the dairy animal obtained from the second sensor, and thereby detect the udder disease in the dairy animal based upon the determination.