TECHNICAL FIELD

The technical field relates to arrangements and methods for measuring rumination of animals.

RELATED ART

A trend in modern dairy farming is reduced workload and increased efficiency and profitability. Daily ruminating, eating, and activity patterns are closely related to health, feed consumption, and productivity of individual animals. Physiological and behavioral changes or abnormalities should be detected as early as possible to maintain good health and high milk production among the animals. High activity is used as a heat indicator and is used frequently in breeding programs.

Activity meters tracking the activity of each animal have been used since long. One example thereof is disclosed in US 6,104,294.

Eating and rumination sensors are also known in the art. One example thereof is the Cow-manager SensOor system commercially available from Agis Automatisering BV, Harmelen, the Netherlands. The sensor in the Cow-manager SensOor system is a molded microchip that has to be clicked into an adapted ear identification tag. A three-dimensional accelerometer continuously registers the movements of the cow's ear. Data is sent through a wireless connection via routers and coordinators, to a computer. Raw data is continuously collected and is classified each minute as one of the four behavioral categories "ruminating", "eating", "resting", and "active" with a proprietary model, which is subsequently expressed as percentage of behavior per hour as well as per day.

SUMMARY

It is an aim of this document to reveal novel arrangements and methods for measuring rumination of individual animals, which are reliable, accurate, precise, and suitable to be implemented on commercial farms for animal management. It is a further aim to reveal such novel arrangements and methods, which can also be used for measuring activity and feed consumption of individual animals, wherein the measured rumination, activity, and feed consumption can be used in feeding, health, and breeding management.

A first aspect refers to an arrangement for measuring rumination of an animal comprising a sensor and a processing device. The sensor comprises an accelerometer for repeatedly sensing acceleration and is configured to be attached to a portion of the animal, wherein the movement of the sensor is at least partly correlated to the movement of the jaws of the animal during rumination e.g. in a similar fashion as the ear-attached sensor of the Cow-manager SensOor system is operating.

However, the processing device, which is operatively connected to the accelerometer to obtain the repeatedly sensed acceleration as an acceleration signal, is configured (i) to process the acceleration signal, thereby removing a DC component from the acceleration signal, (ii) to repeatedly determine a size of the processed acceleration signal in a selected frequency band, (iii) to determine a first threshold value, and at each time the size of the processed repeatedly sensed acceleration in the selected frequency band has been determined, (iv) to compare the last determined size of the processed acceleration signal in the selected frequency band and the first threshold value, and (v) to determine that the animal is ruminating if a rumination condition is met, wherein the rumination condition comprises that the last determined size of the processed acceleration signal in the selected frequency band is higher than the first threshold value.

The above arrangement has proved to be reliable, accurate, precise, and suitable to be implemented on commercial farms for animal management.

The first threshold value may be a constant. In such instance, the processing device may also be configured, at each time the size of the processed repeatedly sensed acceleration in the selected frequency band has been determined, to repeatedly determine a size of the processed acceleration signal outside the selected frequency band, to determine a second threshold value based on, e.g. to be equal to, the size of the processed acceleration signal outside the selected frequency band, to compare the last determined size of the processed acceleration signal and the second threshold value, and to determine that the animal is ruminating if the rumination condition is met, wherein the rumination condition comprises that the last determined size of the processed acceleration signal is higher than the second threshold value.

Alternatively, the processing device may be configured, at each time the size of the processed repeatedly sensed acceleration in the selected frequency band has been determined, to repeatedly determine a size of the processed acceleration signal outside the selected frequency band and to determine the first threshold value based on, e.g. to be equal to, the size of the processed acceleration signal outside the selected frequency band.

In one embodiment, the acceleration signal is originating from acceleration measurements in one direction only. In such instance, the processing device may be configured to repeatedly Fourier transform the processed acceleration signal, preferably using the FFT, to repeatedly obtain a frequency spectrum of the processed acceleration signal, and to repeatedly determine the size of the processed acceleration signal in the selected frequency band from the frequency spectra.

In another embodiment, the accelerometer may be provided for repeatedly sensing the acceleration in at least two orthogonal directions, wherein the acceleration signal has at least two components. The processing device may then be configured to process the acceleration signal to obtain at least two processed signals, from which a respective DC component is removed, one signal for each of the at least two components, to repeatedly Fourier transform the at least two processed signals, preferably using the FFT, to repeatedly obtain at least two frequency spectra of the processed acceleration signal, to repeatedly combine the at least two frequency spectra of the processed acceleration signal to form a combined frequency spectrum, e.g. by means of selecting the strongest signal of the at least two spectra at each frequency of the frequency spectra, and to repeatedly determine the size of the processed acceleration signal in the selected frequency band from the combined frequency spectra.

In yet another embodiment, the accelerometer may be provided for repeatedly sensing the acceleration in three orthogonal directions, wherein the acceleration signal has three components, and the processing device may be configured (i) to process the acceleration signal to obtain three processed signals, from which a respective DC component is removed, one signal for each of the three components, (ii) to form an additional signal based on the three processed signals, (iii) to repeatedly Fourier transform the three processed signals and the additional signal, preferably using the FFT, to repeatedly obtain four frequency spectra, (iv) to repeatedly combine the four frequency spectra to form a combined frequency spectrum, e.g. by means of selecting the strongest signal of the four frequency spectra at each frequency of the frequency spectra, and (v) to repeatedly determine the size of the processed acceleration signal in the selected frequency band from the combined frequency spectra. The additional signal may be the G vector VL = (x ² + y ² + z ² ) 2 - i _? where x, y, z are the three processed signals.

The latter two embodiments may be more reliable since acceleration due to rumination is detected in more than one direction.

In any of the above embodiments, the processing device may be configured to repeatedly determine the size of the processed acceleration signal in the selected frequency band as a size indicative of the intensity of the frequency spectra or combined frequency spectra within the selected frequency band. If the size of the processed acceleration signal outside the selected frequency band is used in the measuring of the rumination of the animal, the processing device may be configured to repeatedly determine the size of the processed acceleration signal outside the selected frequency band as a size indicative of the intensity of the frequency spectra or combined frequency spectra outside the selected frequency band.

Alternatively, the processing device may be configured to repeatedly determine the size of the processed acceleration signal in the selected frequency band as the maximum signal of the frequency spectra or combined frequency spectra within the selected frequency band. If the size of the processed acceleration signal outside the selected frequency band is used in the measuring of the rumination of the animal, the processing device may be configured to repeatedly determine the size of the processed acceleration signal outside the selected frequency band as the maximum signal of the frequency spectra or combined frequency spectra outside the selected frequency band.

In still another embodiment, the processing device may be configured to band pass filter the processed acceleration signal, to form a signal indicative of the absolute value of the band pass filtered processed acceleration signal, and to repeatedly determine the size of the processed acceleration signal in the selected frequency band from the signal indicative of the absolute value of the band pass filtered processed acceleration signal. If the size of the processed acceleration signal outside the selected frequency band is used in the measuring of the rumination of the animal, the processing device may be configured to band-stop filter the processed acceleration signal, to form a signal indicative of the absolute value of the band-stop filtered processed acceleration signal, and to repeatedly determine the size of the processed acceleration signal outside the selected frequency band from the signal indicative of the absolute value of the band-stop filtered processed acceleration signal. The band stopping or band rejection may be performed by any land of filter arrangement, and the lowest frequencies of the processed acceleration signal maybe stopped or rejected as well.

In yet another embodiment, the accelerometer maybe provided for repeatedly sensing the acceleration in at least two orthogonal directions, wherein the

acceleration signal has at least two components. The processing device may then be configured (i) to process the acceleration signal to obtain at least two processed signals, from which a respective DC component has been removed, one signal for each of the at least two components, (ii) to band pass filter the at least two processed signals, (iii) to form signals indicative of the absolute values of the band pass filtered at least two processed signals, (iv) to combine the signals indicative of the absolute values of the band pass filtered at least two processed signals, and (v) to repeatedly determine the size of the processed acceleration signal in the selected frequency band from the combined signals. The combination maybe made as indicated above for the Fourier transform approach.

If the size of the processed acceleration signal outside the selected frequency band is used in the measuring of the rumination of the animal, the processing device may be configured to band-stop filter the at least two processed signals, to form signals indicative of the absolute values of the band-stop filtered at least two processed signals, to combine the signals indicative of the absolute values of the band-stop filtered at least two processed signals, and to repeatedly determine the size of the processed acceleration signal outside the selected frequency band from the combined signals indicative of the absolute values of the band-stop filtered at least two processed signals. The selected frequency band may be in the range of about 1-4 Hz, and more preferably in the range of about 2-3 Hz, and most preferably at around 2.5 Hz.

Alternatively, or additionally, the selected frequency band may comprise a first overtone of a frequency of the rumination of an animal.

A second aspect refers to an arrangement for measuring rumination of an animal comprising a sensor comprising an accelerometer for repeatedly sensing acceleration and configured to be attached to a portion of the animal, the movement of which being at least partly correlated to the movement of the jaws of the animal during rumination; and a processing device operatively connected to the accelerometer to obtain the repeatedly sensed acceleration as an acceleration signal. The processing device may be configured to process the acceleration signal, thereby removing a DC component from the acceleration signal, to repeatedly search the processed acceleration signal for a characteristic pattern, and at each time the processed acceleration signal has been searched, to determine that the animal is ruminating if the characteristic pattern is found the last time the processed acceleration signal was searched, wherein the characteristic pattern comprises repeated minimas of the processed acceleration signal.

The minimas may have each an amplitude, which is lower than a first threshold, which may be related to the average of the processed acceleration signal.

Further, the characteristic pattern may comprise that the average of the processed acceleration signal is above a second threshold and below a third threshold, which is higher than the second threshold.

Still further, the characteristic pattern may comprise that a variation from an average of the processed acceleration signal, such as e.g. variance, standard deviation, or absolute value of difference from the average, is below a fourth threshold, at least at a time before each of the minimas and/or at the minimas.

The time separation between the minimas may be in the range of about 20 to 300 s, and more preferably in the range of about 20 to 180 s, and most preferably in the range of about 30 to 100 s. The minimas may have each a duration in the range of about 0.5-20 s, and more preferably in the range of about 1-8 s.

If the accelerometer is provided for repeatedly sensing the acceleration in two or three orthogonal directions, the acceleration signal has two or three components. The processing device may be configured to process the acceleration signal to obtain two or three processed signals, from which a respective DC component has been removed, one signal for each of the two or three components. Optionally, if three processed signals are available, an additional signal, e.g. the G vector VL = (x ² + y ² + z ² ) ¹ / ² - 1, where x, y, z are the three processed signals may be formed.

The processing device may further be configured to combine the two or three processed signals and the optional additional signal, e.g. by summing them, to repeatedly search the combined signal for the characteristic pattern, and at each time the combined signal has been searched, to determine that the animal is ruminating if the characteristic pattern is found the last time the combined signal was searched, wherein the characteristic pattern comprises repeated minimas of the combined signal.

In the arrangement of the first and/or second aspect, the sensor may be configured to be attached to the neck of the animal or to a collar worn by the animal around the neck. The sensor and the processing device may be arranged together or remote from one another. The signals from the sensor may be transmitted to the processing device via wire or wirelessly.

Alternatively, the arrangement is provided as a unitary device, wherein the sensor and the processing device are mounted on a common support or in a common casing, wherein the entire arrangement maybe configured to be attached to the neck of the animal or to a collar worn by the animal around the neck and may comprise a wireless transmitter operatively connected to the processing device and a battery for powering the sensor, the processing device, and the wireless transmitter.

In such event, the processing device may be configured to calculate rumination times based on the repeated determinations of whether the animal is ruminating and to log the rumination times; and the wireless transmitter may be configured to transmit the logged rumination times wirelessly to an external receiver. A third aspect refers to a method for measuring rumination of an animal wherein an acceleration is repeatedly sensed by a sensor comprising an accelerometer and being attached to a portion of the animal, the movement of which being at least partly correlated to the movement of the jaws of the animal during rumination. The acceleration signal is processed, thereby removing a DC component from the acceleration signal, a size of the processed acceleration signal in a selected frequency band is repeatedly determined, a first threshold value is determined, and at each time the size of the processed repeatedly sensed acceleration in the selected frequency band has been determined, the last determined size of the processed acceleration signal in the selected frequency band and the first threshold value are compared, and it is determined that the animal is ruminating if a rumination condition is met, wherein the rumination condition comprises that the last determined size of the processed acceleration signal in the selected frequency band is higher than the first threshold value.

A fourth aspect refers to a method for measuring rumination of an animal wherein an acceleration is repeatedly sensed by a sensor comprising an accelerometer and being attached to a portion of the animal, the movement of which being at least partly correlated to the movement of the jaws of the animal during rumination. The acceleration signal is processed, thereby removing a DC component from the acceleration signal, the processed acceleration signal is repeatedly searched for a characteristic pattern, and at each time the processed acceleration signal has been searched, it is determined that the animal is ruminating if the characteristic pattern is found the last time the processed acceleration signal was searched, wherein the characteristic pattern comprises repeated minimas of the processed acceleration signal.

The third and fourth aspects may be modified to encompass any of the features, variants, and embodiments disclosed above with reference to the first and second aspects.

Further characteristics and advantages will be evident from the detailed description of embodiments given hereinafter, and the accompanying Figs. 1-8, which are given by way of illustration only. BRIEF DESCRIPTION OF THE DRAWINGS

Fig. l illustrates, schematically, an embodiment of the arrangement for measuring rumination of an animal and attached to a collar as worn by the animal around the neck.

Fig. 2 illustrates, schematically, in a block diagram the arrangement for measuring rumination of an animal.

Figs- 3-5 illustrate, schematically, in diagrams Fourier transforms as used by embodiments of the arrangement for measuring rumination of an animal.

Figs. 6-7 illustrate, schematically, in diagrams filtered signals as used by embodiments of the arrangement for measuring rumination of an animal.

Fig. 8 illustrates, schematically, in a diagram the absolute value of a high-pass filtered acceleration signal during rumination as used by an embodiment of the arrangement for measuring rumination of an animal.

DETAILED DESCRIPTION OF EMBODIMENTS

Fig. 1 illustrates, schematically, an embodiment of the arrangement 10 for measuring rumination of an animal 11 and attached to neck of the animal 11, e.g. by means of being attached to a collar lib as worn by the animal 11 around the neck 11a thereof. The collar lib may be provided with a weight lie in a lower end thereof to ensure a correct positioning of the sensor 12. Fig. 2 illustrates, schematically, in a block diagram the arrangement 10 and its components.

The arrangement 10 comprises a sensor 12 including an accelerometer for repeatedly sensing acceleration. The attachment of the sensor 12 to the neck 11a of the animal 11 ensures that the movement of the accelerator is correlated at least partly to the movement of the jaws of the animal 11 during rumination.

A Cartesian coordinate system is indicated, wherein the X axis is parallel with the longitudinal direction of the neck of the animal 11, the Y axis is parallel with the main extension of the collar 11, and the Z axis is perpendicular to the surface of the animal (at the position of the sensor 12). Alternatively, the sensor 12 is attached to another portion of the animal having a movement which is at least partly correlated to the movement of the jaws of the animal 11 during rumination.

The arrangement further comprises a processing device 13 operatively connected to the accelerometer to obtain the repeatedly sensed acceleration as an acceleration signal, a wireless transmitter 14 operatively connected to the processing device 13, and a battery 15 for powering the sensor 12, the processing device 13, and the wireless transmitter 14.

The processing device 13 may be configured to process the acceleration signal, thereby removing a DC component from the acceleration signal (e.g by means of filtration), to repeatedly determine a size of the processed acceleration signal in a selected frequency band, to determine a threshold value, and at each time the size of the processed repeatedly sensed acceleration in the selected frequency band has been determined, to compare the last determined size of the processed acceleration signal in the selected frequency band and the threshold value, and to determine that the animal is ruminating if a rumination condition is met, wherein the rumination condition comprises that the last determined size of the processed acceleration signal in the selected frequency band is higher than the threshold value. The threshold value will be further discussed below.

Advantageously, the processing device 13 may be configured to calculate rumination times based on the repeated determinations of that the animal 11 is ruminating and to log the rumination times, and the wireless transmitter 14 may be configured to transmit the logged rumination times wirelessly to an external receiver 16 of e.g. an animal herd management system, a feeding management system, a health

management system, and/or a breeding management system.

The selected frequency band may be in the range of about 1-4 Hz, and more preferably in the range of about 2-3 Hz, and most preferably at around 2.5 Hz and/or the selected frequency band may comprise a first overtone of a frequency of the rumination of an animal.

In one embodiment, the accelerometer is provided for repeatedly sensing the acceleration in three orthogonal directions (X, Y, Z), wherein the acceleration signal has three components. The processing device 13 is configured (i) to process the acceleration signal to obtain three processed signals, from which a respective DC component has been removed, one signal for each of the three components, (ii) to form an additional signal based on the three processed signals, (iii) to repeatedly Fourier transform the three processed signals and the additional signal, preferably using the FFT, to repeatedly obtain four frequency spectra, (iv) to repeatedly combine the four frequency spectra to form a combined frequency spectrum, e.g. by means of selecting the strongest signal of the four frequency spectra at each frequency of the frequency spectra, and (v) to repeatedly determine the size of the processed acceleration signal in the selected frequency band from the combined frequency spectra.

The additional signal may be the G vector where x, y, z are the three processed signals.

The measurements and calculations illustrated in the figures have been performed for an animal ruminating slightly more than thirty minutes.

Fig. 3a (upper left Figure) illustrates, schematically, in a diagram the Fourier transform of the processed signal for the X axis, Fig. 3b (upper right Figure) illustrates, schematically, in a diagram the Fourier transform of the processed signal for the Y axis, Fig. 3c (lower left Figure) illustrates, schematically, in a diagram the Fourier transform of the processed signal for the Z axis, and Fig. 3d (lower right Figure) illustrates, schematically, in a diagram the Fourier transform of the G vector described above. Dark color indicates low signal value and light color indicates high signal value.

It can be seen that the Fourier transform shows strong signals at around 2.2-2.4 Hz during rumination for the Y axis, the Z axis, and the G vector. It can be seen that the strong signals in this frequency band terminate after slightly more than thirty minutes, when the animal stops ruminating. Thus, the Fourier transforms for the Y axis, Z axis, and/ or G vector (including all three axes) could be used to determine whether the animal ruminates. It is believed that the strong signals at around 2.2-2.4 Hz is an overtone and that the signals at the fundamental frequency at half the above frequency are visible for the Y axis and Z axis.

If only one of the Fourier transforms for the Y axis, Z axis, and G vector is used, a rumination period could possibly be missed. This is remedied by the combination of the Fourier transforms disclosed above.

Fig. 4 illustrates , schematically, in a diagram such combined Fourier transform, wherein at each frequency the strongest signal of the four Fourier transforms is used. The animal is here eating from the beginning and about 45 minutes, resting between about 45 and 80 minutes, eating again between about 80 and 120 minutes, resting between about 120 to 135 minutes, ruminating between about 135 and 175 minutes. This can easily be observed in Fig. 4. During eating the frequency content of the combined Fourier transforms is covering a very broad frequency band, during resting no signals are obtained, and during rumination the frequency content of the combined Fourier transforms is covering a very narrow frequency band situated between 2 and 3 Hz. It is quite obvious that the best identification of rumination is obtained if the signals of the Fourier transform at a certain frequency (the rumination identification frequency) are compared with the signals at other frequencies.

Thus, in one embodiment the Fourier transform is analyzed to find peak frequencies at each time, and to calculate a variable f ₂ . ₅ [n] indicating whether the strongest signal fmax at each instant has a frequency in the interval 2-3 Hz. The variable f ₂ . ₅ [n] becomes

The variable f ₂ . ₅ [n] is then low pass filtered with a very low cutoff frequency, and the result is shown in Fig. 5. The dots correspond to the peak frequencies at each instance and the solid line is the variable f ₂ . ₅ [n]. If the variable f ₂ . ₅ [n] is close to one for a given time period, the animal is considered to be ruminating, when the variable f ₂ . ₅ [n] is varying a lot, the animal is considered to be eating, and when the variable f ₂ . ₅ [n] is close to zero for a given time period, the animal is considered to be resting. The condition for rumination may also encompass that a size of the Fourier transform in the interval 2-3 Hz is above a threshold, which may be a constant. Alternatively, the processing device 13 may be configured, at each time the size of the processed repeatedly sensed acceleration in the selected frequency band has been determined, to repeatedly determine a size of the processed acceleration signal outside the selected frequency band and to determine the threshold value based on the size of the processed acceleration signal outside the selected frequency band. The threshold may be a constant times the size of the processed acceleration signal outside the selected frequency band.

The rumination condition may also comprise that the last determined size of the processed acceleration signal in the selected frequency band is higher than a further threshold value, which is a constant.

In another embodiment, the processing device 13 may be configured to band pass the processed acceleration signal and to determine the size of the processed acceleration signal in the selected frequency band based on the band passed repeatedly sensed acceleration.

The accelerometer maybe provided for repeatedly sensing the acceleration in at least two orthogonal directions Y, Z, wherein the acceleration signal has at least two components. The processing device 13 may be configured (i) to process the

acceleration signal to obtain at least two processed signals, from which a respective DC component has been removed, one signal for each of the at least two components, (ii) to band pass filter the at least two processed signals, (iii) to form signals indicative of the absolute values of the band pass filtered at least two processed signals, (iv) to combine the signals indicative of the absolute values of the band pass filtered at least two processed signals, and (v) to repeatedly determine the size of the processed acceleration signal in the selected frequency band from the combined signals.

The processing device may further be configured to band-stop filter the at least two processed signals, to form signals indicative of the absolute values of the band-stop filtered at least two processed signals, to combine the signals indicative of the absolute values of the band-stop filtered at least two processed signals, and to repeatedly determine the size of the processed acceleration signal outside the selected frequency band from the combined signals indicative of the absolute values of the band-stop filtered at least two processed signals. The rumination condition may here comprise that the last determined size of the processed acceleration signal in the selected frequency band is higher than a threshold value, which is related to the size of the processed acceleration signal outside the selected frequency band. The threshold value may be a constant times the size of the processed acceleration signal outside the selected frequency band.

Fig. 6 illustrates, schematically, in a diagram a filtered signal for measuring rumination of an animal. The filter used is a band pass filter with cutoff frequencies at 2 and 3 Hz, allowing signals at frequencies between 2 and 3 Hz, but also signal spikes, to pass through. The horizontal lines indicate rumination (upper lines) and resting (lower lines).

It could sometimes be hard to distinguish rumination from resting (or eating) since the signals contain noise. To improve the situation, one or two other signals may be used: a band pass filtered signal between 0.5 and 2 Hz and a high pass filtered signal from 3 Hz and up. The signal at 2-3 Hz as shown in Fig. 6 may then be divided by the signal at 0.5-2 Hz, with the signal above 3 Hz, or with the sum of the signal at 0.5-2 Hz and the signal above 3 Hz. The latter one is illustrated in Fig. 7, i.e. the signal at 2- 3 Hz divided by the sum of the signal at 0.5-2 Hz and the signal above 3 Hz. As before, the horizontal lines indicate rumination (upper lines) and resting (lower lines). As can be noted, rumination may in this signal be easier to distinguish from other activities.

Fig. 8 illustrates, schematically, in a diagram a processed acceleration signal, which is correlated to the absolute value of a high-pass filtered acceleration signal during rumination as used by an embodiment of the arrangement for measuring rumination of an animal.

From the diagram, it can be seen that the animal is ruminating by means of bolus detection. When an animal ruminates, rumen content is formed as a bolus that is regurgitated and chewed a number of times. The four characteristic repeated drops correspond to short periods (e.g. 1-5 s) of bolus (or pause) wherein the yaws of the animal are at rest while a bolus is regurgitated, which occur before each longer period (e.g. 40-85 s) of chewing. The characteristic bolus and chewing pattern forms the rumination. The arrangement for measuring rumination of an animal may here comprise similar structural components as described above, but the processing device 13 is instead configured to process the acceleration signal, thereby removing a DC component from the acceleration signal, to repeatedly search the processed acceleration signal for a characteristic pattern, and at each time the processed acceleration signal has been searched, to determine that the animal is ruminating if the characteristic pattern is found the last time the processed acceleration signal was searched, wherein the characteristic pattern comprises repeated minimas of the processed acceleration signal.

The characteristic pattern may comprise further features.

The minimas may each have an amplitude which is lower than a first threshold, which may be related to the average of the processed acceleration signal.

The characteristic pattern may comprise that the average of the processed

acceleration signal is above a second threshold and below a third threshold, which is higher than the second threshold.

The characteristic pattern may comprise that a variation from an average of the processed acceleration signal, such as e.g. variance, standard deviation, or absolute value of difference from the average, is below a fourth threshold at least at a time, e.g. 10 seconds, before each of the minimas and/or at the minimas.

The time separation between the minimas may be in the range of about 20 to 300 s, and more preferably in the range of about 20 to 180 s, and most preferably in the range of about 30 to 100 s.

Further, the minimas may have each a duration in the range of about 0.5-20 s, and more preferably in the range of about 1-8 s.

The arrangement for measuring rumination of an animal is not restricted to the embodiment described in the figures, but may be varied freely within the scope of the claims. In particular, various features of the different embodiments may be combined in other none-disclosed combinations to form yet further embodiments within the scope of the claims. For example, instead of the signal processing taking place in a processing device connected to the sensor, the signal can be transferred unprocessed to a separate computer for processing.