고랭지배추 무게와 생육환경변수 간의 임의적인 시차 관계 및 왜곡에 관한 연구

• 영문명: Analyzing Arbitrary Time Relationship and Warping between Weight of Highland Chinese Cabbage and Growth Environment Variables
• 발행기관: 한국농업경제학회
• 저자명: 이윤숙(Yoonsuk Lee)
• 간행물 정보: 『농업경제연구』63권 2호, 67~81쪽, 전체 15쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2022.06.30

영문 초록

The study analyzed dynamic time relationships and time warping between weight of highland chinese cabbage and growth environment variables using an arbitrary-lag causality method. During an early stage of growth, the relation between cabbage and growth environment variables is formed in arbitrary times. The bigdata used in the study are collected from the open field samrtfarm system operated by Rural Development Administration. The study applied for a dynamic time warping algorithm to measure dynamic time distances between weights of highland chinese cabbage and growth and weather variables, respectively. After that, we compared arbitrary-lag causality and fixed-lag causality. We found the existence of arbitrary-time lags between variables. In addiction, we found that the arbitrary-lag causality analysis is performed better than fixed-lag causality. Finally, we found that growth and weather variables caused cabbage weight under the arbitray-time lags, but not vice versa.

키워드

Arbitrary-lag Causality Bigdata Dynamic Time Warping Highland Chinese Cabbage Open Field Smartfarm