New Commercial Representation for Cattle Information Gathering

Jorge Navarro, Isaac Martín de Diego, Karen Príncipe-Aguirre, María Algar

2020

Abstract

As the development of Wireless Sensor Networks improves, new applications of Internet of Things are emerging in sectors as diverse as military, environmental, health or food. In many of these applications, the autonomy of the devices is an essential element in order to make reasonable use of them. For the cattle domain, there is a need for an efficient use of energy by sending few messages that accumulate as much information as possible. This paper proposes a new strategy for sending summarized information from devices that are commercially used in cattle to analyze animal behavior. Experiments using 120 different daily time series related to animal behavior have been performed. The obtained results show that the proposed strategy highly improves the current operation mode of the equipment.

Paper Citation

in Harvard Style

Navarro J., Martín de Diego I., Príncipe-Aguirre K. and Algar M. (2020). New Commercial Representation for Cattle Information Gathering. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, pages 526-534. DOI: 10.5220/0008978405260534

in Bibtex Style

@conference{icpram20,
author={Jorge Navarro and Isaac Martín de Diego and Karen Príncipe-Aguirre and María Algar},
title={New Commercial Representation for Cattle Information Gathering},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2020},
pages={526-534},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008978405260534},
isbn={978-989-758-397-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - New Commercial Representation for Cattle Information Gathering
SN - 978-989-758-397-1
AU - Navarro J.
AU - Martín de Diego I.
AU - Príncipe-Aguirre K.
AU - Algar M.
PY - 2020
SP - 526
EP - 534
DO - 10.5220/0008978405260534