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פותח על ידי קלירמאש פתרונות בע"מ -
The classification of herbivore jaw movements using acoustic analysis
Year:
2007
Authors :
אונגר, יוג'ין דוד
;
.
בלנקמן, יהושע
;
.
מזרח, עמוס
;
.
Volume :
Co-Authors:
Ungar, E.D., Department of Field Crops and Natural Resources, Agricultural Research Organization-the Volcani Center, Institute of Agricultural Engineering, POB 6, Bet Dagan, 50250, Israel
Blankman, J., Department of Field Crops and Natural Resources, Agricultural Research Organization-the Volcani Center, Institute of Agricultural Engineering, POB 6, Bet Dagan, 50250, Israel
Mizrach, A., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization-the Volcani Center, POB 6, Bet Dagan, 50250, Israel
Facilitators :
From page:
79
To page:
85
(
Total pages:
7
)
Abstract:
A convenient method of monitoring ingestive behaviour in grazing animals is lacking. Acoustic monitoring is a promising technology that could provide accurate and continuous information on ingestive behaviour. A critical step is to develop a signal processing algorithm to automatically classify sound bursts into bite, chew and chew-bite jaw movements. We tested the classification of jaw movements on the basis of six extracted features. Discriminant analysis achieved a correct classification rate of 81.8% using four of the six features. These results suggest that acoustic monitoring may be a simple and effective way of quantifying key aspects of ingestive behaviour in grazing ruminants.
Note:
Related Files :
Acoustic measuring instruments
cattle
Classification rates
discriminant analysis
Grazing animals
Signal processing
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
25227
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:13
Scientific Publication
The classification of herbivore jaw movements using acoustic analysis
Ungar, E.D., Department of Field Crops and Natural Resources, Agricultural Research Organization-the Volcani Center, Institute of Agricultural Engineering, POB 6, Bet Dagan, 50250, Israel
Blankman, J., Department of Field Crops and Natural Resources, Agricultural Research Organization-the Volcani Center, Institute of Agricultural Engineering, POB 6, Bet Dagan, 50250, Israel
Mizrach, A., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization-the Volcani Center, POB 6, Bet Dagan, 50250, Israel
The classification of herbivore jaw movements using acoustic analysis
A convenient method of monitoring ingestive behaviour in grazing animals is lacking. Acoustic monitoring is a promising technology that could provide accurate and continuous information on ingestive behaviour. A critical step is to develop a signal processing algorithm to automatically classify sound bursts into bite, chew and chew-bite jaw movements. We tested the classification of jaw movements on the basis of six extracted features. Discriminant analysis achieved a correct classification rate of 81.8% using four of the six features. These results suggest that acoustic monitoring may be a simple and effective way of quantifying key aspects of ingestive behaviour in grazing ruminants.
Scientific Publication
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