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논문 기본 정보

자료유형
학술대회자료
저자정보
Moon-Sun Shin (Konkuk University) Seong-Won Lee (Chungbuk National University) Sang-Ho Moon (Konkuk University) Seon-Min Hwang (Konkuk University)
저널정보
한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2022 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.13 No.1
발행연도
2022.1
수록면
149 - 152 (4page)

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Recently, climate change issues such as abnormal climate and global warming have become important issues in various industrial fields around the world. Especially in the agricultural field, a variety of researches on changes in suitable cultivation areas and prediction of crop production has been carried out as the cultivation environment of various crops has been changed according to climate change. In this paper, in order to analyze the correlation between the change in productivity of forage crops according to climate change and climatic factors, we constructed a database of basic data that were consisted of the forage crops productivity and climate data gathered from the Synoptic Meteorological Observation. And then we apply machine learning-based big data analysis to the established database. As a result, it is figured out that the production of forage crops is sensitive to the effects of climate change, so it is expected that there will be changes in the field of cultivation of forage crops in the future.

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Abstract
I. INTRODUCTION
II. DATA GTHERING AND PREPROCESSING
III. CORRELATION ANALYSIS
IV. DISCUSSION AND CONCLUSIONS
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