International journal of advanced smart convergence

  • 제11권2호
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  • Pages.211-218
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  • 2022
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  • 2288-2847(pISSN)
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  • 2288-2855(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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Data-Based Monitoring System for Smart Kitchen Farm

  • Yoon, Ye Dong (Department of Software and Communication Engineering, Hongik University) ;
  • Jang, Woo Sung (Department of Software and Communication Engineering, Hongik University) ;
  • Moon, So Young (Department of Software and Communication Engineering, Hongik University) ;
  • Kim, R. Young Chul (Department of Software and Communication Engineering, Hongik University)
  • 투고 : 2022.05.27
  • 심사 : 2022.06.05
  • 발행 : 2022.06.30
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초록

Pandemic situations such as COVID-19 can occur supply chain crisis. Under the supply chain crisis, delivering farm products from the farm to the city is also very challenging. Therefore it is essential to prepare food sufficiency people who live in a city. We firmly insist on food self-production/consumption systems in each home. However, since it is impossible to grow high-quality crops without expertise knowledge. Therefore expert system is essential to grow high-quality crops in home. To address this problem, we propose a smart kitchen farm as a data-based monitoring system and platform with ICT convergence technology. Our proposed approach 1) collects data and makes judgments based on expert knowledge for home users, 2) increases product quality of the smart kitchen farms by predicting abnormal/normal crops, and 3) controls each personal home cultivation environment through data-based monitoring within the smart central server. We expect people can cultivate high-quality crops in thir kitchens through this system without expert knowledge about cultivation.

키워드

과제정보

This work was supported by the Ministry of Education and the Korea Research Foundation (F21YY8102068) and the government (Ministry of Education) with the support of the Korea Research Foundation (No. 2021R1I1A305040711, No. 2021R1I1A1A01044060) in 2022

참고문헌

  1. Do Q. N., Mishra N., Wulandhari N. B. I., Ramudhin A., Sivarajah U., and Milligan G., "Supply chain agility responding to unprecedented changes: empirical evidence from the UK food supply chain during COVID-19 crisis," Supply Chain Management, Vol. 26, No. 6, pp. 737-752, 2021. DOI: https://doi.org/10.1108/SCM-09-2020-0470
  2. Jeon Younghyeon, and Byeong-il Ahn, "Effects of a Tariff Reduction on Grain Self-Sufficiency: Evidence from Country-Level Panel Data," Sustainability(MDPI), Vol. 9, No. 10: 1838, 2017. DOI: https://doi.org/10.3390/su9101838
  3. Miguel A. Altieri, Nelso Companioni, Kristina Canizares, Catherine Murphy, Peter Rosset, Martin Bourque, and Clara I. Nicholls. "The greening of the barrios: Urban agriculture for food security in Cuba," Agriculture and Human Values, Vol. 16, pp. 131-140, 1999. DOI: https://doi.org/10.1023/A:1007545304561
  4. Yeo Uk-hyeon, In-bok Lee, Kyeong-seok Kwon, Taehwan Ha, Se-jun Park, Rack-woo Kim, and Sang-yeon Lee, "Analysis of Research Trend and Core Technologies Based on ICT to Materialize Smart-Farm," Protected Horticulture and Plant Factory(The Korean Society for Bio-Environment Control), Vol. 25, No. 1, pp. 30-41, March 2016. DOI: https://doi.org/10.12791/ksbec.2016.25.1.30
  5. Yun N. G., Lee J. S., Park G. S., and Lee J. Y., "Korean Smart Farm Policy and Technology development status," Rural resources : Magazine of the Korean Society of Agricultural Engineers, Vol.59, No 2, pp. 19-27, 2017. https://doi.org/10.5389/KSAE.2017.59.2.019
  6. Woo Sung Jang, Jang Hwan Kim, Chae Yun Seo, and R. Young Chul Kim, "The Collection Method of Heterogeneous Smart Farm Data Based on Model Transformation Technique for Human Computer Friendly Learning," HCII: Culture and Computing. Design Thinking and Cultural Computing (Springer), Vol. 12795, pp. 418-431, July 2021. DOI: https://doi.org/10.1007/978-3-030-77431-8_26
  7. LEI Xinyu, PAN Hongguang, and HUANG Xiangdong, "A dilated CNN model for image classification," IEEE Access, Vol 7 pp. 124087-124095, 2019. DOI: https://doi.org/10.1109/ACCESS.2019.2927169
  8. Falmata Modu, Adam Adam, Farouq Aliyu, Audu Mabu, and Mahdi Musa. "A Survey of Smart Hydroponic Systems," Advances in Science, Technology and Engineering Systems Journal. Vol. 5, pp. 233-248, 2020. DOI: https://doi.org/ 10.25046/aj050130
  9. LG, Tiiun, https://www.lge.co.kr/lg-tiiun.
  10. NIA, Ai hub, https://aihub.or.kr/.
  11. Alphabet Inc, Kaggle, https://www.kaggle.com/.