From Chew Counts to Intake Amounts: An Evaluation of Acoustic Sensing in Browsing Goats

Herbage intake by grazers and browsers is of fundamental importance to agricultural ecosystems worldwide but is also notoriously difficult to quantify. The intake process is mediated by herbage comminution in the mouth. The attendant chew actions generate sound bursts that can be detected acoustically and analyzed to help elucidate the entire process. Goats consuming a single plant species were acoustically monitored in order to (i) determine the sensitivity of the chewing effort to the large variation in bite mass and satiety level and (ii) estimate how well the amount of herbage consumed can be predicted by counting chews. Experiments used hand-constructed patches containing bite-sized carob (<i>Ceratonia siliqua</i> L.) leaflets of a pre-determined mass that were presented to six goats, individually, with acoustic sensors attached to their horns. Experiment 1 determined the chewing effort and the sequence of bites and chews for three bite masses across five levels of total intake. Experiment 2 determined the chewing effort and the chew sequence at three levels of satiety, achieved by control of the feeding regime, using a single bite mass across three levels of total intake. In Experiment 1, the global chewing coefficient was ≈4 chews g<sup>-1</sup> fresh mass ingested (≈10 chews g<sup>-1</sup> dry matter). For an individual animal, the chewing coefficient was fairly stable, being influenced mildly by bite mass, but the variation between animals was large. In Experiment 2, the chewing coefficient was again fairly stable in an individual animal, although the chewing effort was slightly elevated at low satiety. At the population level, and for the most relevant range of intake levels, inverse regression of the pooled data from both experiments estimated the two-sided 95% confidence interval of the predicted intake of carob leaves to be <10% of the predicted value. If chewing coefficients can be estimated locally, usefully precise intake predictions should be attainable for the tested vegetation. These results are promising for the future potential of acoustic monitoring, although significant challenges remain.

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Journal
Sensors
Published
2026-01-21
DOI
https://doi.org/10.3390/s26020719
Citations
1
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
13.66

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article

From Chew Counts to Intake Amounts: An Evaluation of Acoustic Sensing in Browsing Goats

Eugene D. Ungar, Shilo Navon, Hillary Voet, Aharon Bellalu et al.
1 citations
Sensors
Animal Vocal Communication and Behavior
13.66
article

From Chew Counts to Intake Amounts: An Evaluation of Acoustic Sensing in Browsing Goats

Eugene D. Ungar, Shilo Navon, Hillary Voet, Aharon Bellalu, Ezra Ben-Moshe
article en
1 citations

Abstract

Herbage intake by grazers and browsers is of fundamental importance to agricultural ecosystems worldwide but is also notoriously difficult to quantify. The intake process is mediated by herbage comminution in the mouth. The attendant chew actions generate sound bursts that can be detected acoustically and analyzed to help elucidate the entire process. Goats consuming a single plant species were acoustically monitored in order to (i) determine the sensitivity of the chewing effort to the large variation in bite mass and satiety level and (ii) estimate how well the amount of herbage consumed can be predicted by counting chews. Experiments used hand-constructed patches containing bite-sized carob (<i>Ceratonia siliqua</i> L.) leaflets of a pre-determined mass that were presented to six goats, individually, with acoustic sensors attached to their horns. Experiment 1 determined the chewing effort and the sequence of bites and chews for three bite masses across five levels of total intake. Experiment 2 determined the chewing effort and the chew sequence at three levels of satiety, achieved by control of the feeding regime, using a single bite mass across three levels of total intake. In Experiment 1, the global chewing coefficient was ≈4 chews g<sup>-1</sup> fresh mass ingested (≈10 chews g<sup>-1</sup> dry matter). For an individual animal, the chewing coefficient was fairly stable, being influenced mildly by bite mass, but the variation between animals was large. In Experiment 2, the chewing coefficient was again fairly stable in an individual animal, although the chewing effort was slightly elevated at low satiety. At the population level, and for the most relevant range of intake levels, inverse regression of the pooled data from both experiments estimated the two-sided 95% confidence interval of the predicted intake of carob leaves to be <10% of the predicted value. If chewing coefficients can be estimated locally, usefully precise intake predictions should be attainable for the tested vegetation. These results are promising for the future potential of acoustic monitoring, although significant challenges remain.

SensorsVol. 26(2)
Hebrew University of Jerusalem (IL), Agricultural Research Organization (IL)
Army Research Office
Zero hunger
Openalex Percentile: Top 5%
Animal Vocal Communication and Behavior
13.66
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