과제정보
본 논문은 과학기술정보통신부 정보통신창의인재양성사업의 지원을 통해 수행한 ICT멘토링 프로젝트 결과물입니다.
한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2020년도 추계학술발표대회
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- Pages.818-821
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- 2020
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
인공지능과 IoT 기술을 활용한 댁내 스마트팜 구축
Building a Smart Farm in the House using Artificial Intelligence and IoT Technology
- Moon, Ji-Ye (Ewha Womans University) ;
- Gwon, Ga-Eun (Ewha Womans University) ;
- Kim, Ha-Young (Ewha Womans University) ;
- Moon, Jae-Hyun (Korea Technology Transfer Association)
- 발행 : 2020.11.05
초록
The artificial intelligence software market is developing in various fields world widely. In particular, there is a wide variety of applications for image recognition technology using deep learning. This study intends to apply image recognition technology to the 'Home Gardening' market growing rapidly due to COVID-19, and aims to build a small-scale smart farm in the house using artificial intelligence and IoT technology for convenient crop cultivation for busy people living in cities. This intelligent farm system includes an automatic image recognition function and recommendation function based on temperature and humidity sensor-based indoor environment analysis.
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