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Japanese Black Beef Cow Behavior Classification Dataset

Authors: Ito, Hiroyuki; Takeda, Ken-Ichi; Tokgoz, Korkut Kaan; Minati, Ludovico; Masamoto Fukawa; Chao, Li; Bartels, Jim; +2 Authors

Japanese Black Beef Cow Behavior Classification Dataset

Abstract

Licensed under: Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode This data set contains tri-axial accelerometer sensor data with thirteen different labeled cow behaviors. This data was gathered with a 16bit +/- 2g Kionix KX122-1037 accelerometer attached to the neck of six different Japanese Black Beef Cows at a cow farm of Shinshu University in Nagano, Japan. The data gathering took place over the course of two days in which the cows were allowed to roam freely in two different areas, namely, a grass field and farm pens, while being filmed with Sony FDR-X3000 4K video cameras. The timestamps of the video and accelerometer data were matched while human observers which included behavior experts and non-experts labeled the data from the video footage. 197 minutes of data comprising thirteen different behaviors were labeled. Accelerometer sampling rate was set to 25Hz. The data is split into six .csv files which represents each of the 6 cows above. The columns of these files are defined as follows: | AccX [g] | AccY [g] | AccZ [g] | label [-] | |---------------------|---------------------|---------------------|------------------| | X-axis acceleration | Y-axis acceleration | Z-axis acceleration | labeled behavior | The gathering of this data with these cows was reviewed and approved by the Institutional Animal Careand Use Committee of Shinshu University.

Keywords

IoT, edge-AI, accelerometer time series, precision livestock farming, animal welfare

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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2
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90