Conference
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2024 |
Evaluating Deep Learning Models for Prediction of Climate Conditions in Greenhouse
Jaeyoung Kim International Conference on Consumer Electronics (ICCE) 2024 : Asia, pp.657-660 |
0 |
원문
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Journal
|
2021 |
Anomaly Detection of Operating Equipment in Livestock Farms Using Deep Learning Techniques
Hyeon Park Electronics, v.10, no.16, pp.1-22 |
11 |
원문
|
Conference
|
2021 |
Implementation of Smart Farm Devices using Open Source Software
Yoon Sunghyun International Conference on Advanced Communications Technology (ICACT) 2021, pp.205-209 |
3 |
원문
|
Conference
|
2020 |
A study on Time-series DBMS Application for EdgeX-based Lightweight Edge Gateway
Kim Jaein International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1795-1798 |
6 |
원문
|
Conference
|
2020 |
Deep Learning-based Method for Detecting Anomalies of Operating Equipment Dynamically in Livestock Farms
Hyeon Park International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1182-1185 |
4 |
원문
|
Conference
|
2020 |
Wind-aware Content Caching for Smart Farm
Jo Seng Kyoun Wireless Communications and Networking Conference (WCNC) 2020, pp.1-6 |
0 |
원문
|
Conference
|
2017 |
A Layered Features Analysis in Smart Farm Environments
Junyong Park International Conference on Big Data and Internet of Things (BDIOT) 2017, pp.169-173 |
24 |
원문
|
Conference
|
2017 |
Understanding the Impact of Lossy Compressions on IoT Smart Farm Analytics
Moon Ae Kyeung International Conference on Big Data (Big Data) 2017, pp.4602-4611 |
17 |
원문
|
Conference
|
2017 |
Design and Implementation of Edge-based Hydroponics Grow Chamber System
Lee Yong-Ju 한국정보처리학회 학술 발표 대회 (춘계) 2017, pp.111-112 |
|
|
Journal
|
2016 |
스마트팜 기술 동향과 발전 방향
Jae-Hong Min 주간기술동향, v.1778, pp.2-12 |
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