A Study on Data Collector and Shared Platform in Smart Greenhouse for Precision Agriculture

Kim Seung Jae (김승재); YOE HYUN (여현); MEONGHUN LEE (이명훈); Jong-Kil Ryu (류종길); Sung-Ho Lee (이성호)

doi:10.34163/jkits.2020.15.5.031

A Study on Data Collector and Shared Platform in Smart Greenhouse for Precision Agriculture

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2020, 15(5), pp.895-903
DOI : 10.34163/jkits.2020.15.5.031
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Received : October 7, 2020
Accepted : October 15, 2020
Published : October 31, 2020

Kim Seung Jae ¹, YOE HYUN ¹, MEONGHUN LEE ², Jong-Kil Ryu ³, Sung-Ho Lee ⁴

¹순천대학교
²국립농업과학원
³(주)길소프트
⁴(주)호현F&C

Accredited

ABSTRACT

Due to the recent increase in consumer demand for high-quality agricultural and fishery products and interest in safety, it is necessary to improve the quality and productivity of agricultural and fishery products. One way to solve this problem is the precision farming technology of smart greenhouses, which increases the productivity of crops while reducing energy. To realize precision agriculture, it is necessary to derive optimal growth environment data for crops in greenhouse. In addition to farms that use hydroponic cultivation methods, there are farmers who harvest crops through soil cultivation at agricultural sites, so to derive optimal growth environment data for farmers, including both hydroponic and soil cultivation, a data collector was developed to provide wired and wireless communication depending on the situation of greenhouses while allowing the linkage of legacy equipment of existing farms. It also established a data sharing platform to store, analyze, and share collected data. Data collected from data collectors installed in smart greenhouses will be delivered to data sharing platforms through cloud communication, and data sharing platforms will be able to derive an optimized environment through comparative analysis by providing users with greenhouse monitoring functions and sharing data collected from nearby farms. Based on this, it is expected that the data will be developed into forecasting growth of crops, forecasting production, and forecasting insect pests in the future.

KEYWORDS

Smart agriculture, Precision agriculture, Data collector, Platform, IoT

Citation status

* References for papers published after 2023 are currently being built.

[journal] 서정희 / 2009 / Implementation of Efficient Mobile Monitoring System of the GreenHouse Environment Data / 한국정보통신학회논문지 / 한국정보통신학회 13(3) : 572~579

[journal] J. Lee / 2014 / Trend and direction of agricultural ICT convergence technology / Journal of the Korea Institute of Information and Communication Engineering 31(5) : 54~60

[other] Food and Agriculture Organization of the United Nations / 2017 / The future of food and agriculture: trends and challenges / Food and Agriculture Organization of the United Nations(FAO)

[confproc] A. Walter / 2017 / Opinion: smart farming is key to developing sustainable agriculture / Proceedings of the National Academy of Sciences of USA 114(24) : 6148~6150

[book] H. Sundmaeker / 2016 / Digitising the Industry-Internet of Things Connecting Physical, Digital and Virtual Worlds / River Publishers : 129~151

[journal] S. Uferah / 2019 / Precision agriculture techniques and practices: from considerations to applications / Sensors 19(17) : 3796~

[journal] J. Ferrandez / 2016 / Developing ubiquitous sensor network platform using internet of things:application in precision agriculture / In:Sensors 16(7) : 1141~

[book] A. J. Havekort / 1995 / Potato ecology and modelling of crops under conditions limiting growth / Kluwer Academic Publishers : 41~60

[book] P. J. Zarco-Tejada / 2010 / Precision agriculture: an opportunity for EU farmers / Joint Research Centre (JRC) of the European Commission

[confproc] T. Harmon / 2005 / Precision agriculture scenario / NSF workshop on sensors for environmental observatories

[journal] J. V. Stafford / 2000 / Implementing precision agriculture in the 21st century / Journal of Agricultural Engineering Research 76(3) : 267~275

[journal] D. P. M. Zaks / 2011 / Data and monitoring needs for a more ecological agriculture / Environmental Research Letters 6(1)

[journal] 홍인식 / 2018 / A Study on Functional Test of Damage Detection Sheet Using RS-485 Embedded Board / 한국지식정보기술학회 논문지 / 한국지식정보기술학회 13(2) : 211~220

[web] / 2016 / IT Tips / http://ymkimit.blogspot.kr/2013/11/modbus_25.html#!/2013/11/modbus_25.html

[journal] 황수철 / 2016 / Making and Application of Educational mini-Board under Visual C++ Development Environment / 한국지식정보기술학회 논문지 / 한국지식정보기술학회 11(6) : 675~683

KJCKorea
Journal Central

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

A Study on Data Collector and Shared Platform in Smart Greenhouse for Precision Agriculture

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

A Study on Data Collector and Shared Platform in Smart Greenhouse for Precision Agriculture

ABSTRACT

KEYWORDS

Statistics

Tools

Issue List

Citation status

KCI Citation Counts (1)

REFERENCES (15) * References for papers published after 2023 are currently being built.

Search PDF

Citation

* References for papers published after 2023 are currently being built.