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Research and Technology Trend Analysis by Big Data-Based Smart Livestock Technology: a Review

Authors :
Chang-Seop Shin
Byoung-Kwan Cho
Insuck Baek
Changyeun Mo
Yong-Hyeon Kim
Min-Jee Kim
Soon-Jung Hong
Kyoung Je Jang
Hyeon Tae Kim
Dae-Hyun Lee
Source :
Journal of Biosystems Engineering. 46:386-398
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

This study introduces the global research and technological trends related to various kinds of Information and Communications Technologies (ICTs) used and applied in the livestock industry by improving productivity via breeding, disease and optimal environment control, and smart business management. Prior research data was collected using “ICT,” “IoT,” “information technology (IT),” “ubiquitous technology,” “smart livestock,” and “big data” as main keywords. Most livestock farms in Korea adopt smart livestock technology that are mostly used in the 1st or 1.5th generations, while continuous developments are being carried out for technologies of the 2nd and 3rd generations. In the livestock house, camera vision, radio-frequency identification (RFID), beacon sensors, and environmental sensors are used in livestock farms and houses to collect information compiled into a database to introduce an automated system for livestock management. The data collected from each individual and farm can enable precise breeding and ultimately improve the productivity and efficiency of smart livestock systems. It is necessary to prepare a systematic system at the national level for data collection, ownership, and sharing to improve the productivity and efficiency of the smart livestock system.

Details

ISSN :
22341862 and 17381266
Volume :
46
Database :
OpenAIRE
Journal :
Journal of Biosystems Engineering
Accession number :
edsair.doi...........73c00d38c59ba5b8fc942e2f8baa705b
Full Text :
https://doi.org/10.1007/s42853-021-00115-9