Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)

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Worker’s location prediction system for providing location-based service inside poultry houses

Authors
Young-Woo Choi1, Na-Eun Kim2, Gun-ho Lee1, Jeong-Hoon Song3, Seok-Gun Hong3, Hyeon-Tae Kim1, 2, *
1Department of Smartfarm, Graduate School of Gyeongsang, Institute of Smart Farm), National University, Jinju, 52828, Republic of Korea
2Department of Bio-Systems Engineering, Institute of Smart Farm), Graduate School of Gyeongsang National University, Jinju, 52828, Republic of Korea
3Allnrich, Jeju, 63179, Republic of Korea
*Corresponding author. Email: bioani@gnu.ac.kr
Corresponding Author
Hyeon-Tae Kim
Available Online 28 December 2022.
DOI
10.2991/978-94-6463-086-2_64How to use a DOI?
Keywords
BLE beacon; Beacon filtering; Fingerprint; Scoremap
Abstract

The objective of this study was to determine the precise location of workers in poultry houses using BLE beacons methods. Data was collected from two poultry houses using smart device systems during the experimental period. A score map was developed using a fingerprint algorithm based on the obtained data. Moreover, the fingerprint algorithm with a score map was used to identify the position of the worker in real-time in the poultry houses. With and without data filtration techniques have been applied during the data processing period. The developed algorithm showed a low accuracy in predicting the position of the worker by using the unfiltered data. However, it was also found a better accuracy by applying the filtered data in the same algorithm. Therefore, the study recommended using BLE beacon methods in a score map-based location prediction system for identifying the optimal position of workers in poultry houses. The current study also suggested that filtered data provided better accuracy in predicting the position of workers compared to unfiltered data using the same algorithm. This study shows to have benefits in location prediction using BLE beacons in poultry houses.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
Series
Advances in Biological Sciences Research
Publication Date
28 December 2022
ISBN
978-94-6463-086-2
ISSN
2468-5747
DOI
10.2991/978-94-6463-086-2_64How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Young-Woo Choi
AU  - Na-Eun Kim
AU  - Gun-ho Lee
AU  - Jeong-Hoon Song
AU  - Seok-Gun Hong
AU  - Hyeon-Tae Kim
PY  - 2022
DA  - 2022/12/28
TI  - Worker’s location prediction system for providing location-based service inside poultry houses
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 470
EP  - 475
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_64
DO  - 10.2991/978-94-6463-086-2_64
ID  - Choi2022
ER  -