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NTIS 바로가기한국농림기상학회지 = Korean Journal of Agricultural and Forest Meteorology, v.22 no.1, 2020년, pp.1 - 12
장영빈 (서울대학교 농생명과학대학 농경제사회학부 지역정보 전공) , 장익훈 (서울대학교 농생명과학대학 농경제사회학부 지역정보 전공) , 최영찬 (서울대학교 농생명과학대학 농경제사회학부 지역정보 전공)
As one of the essential resources in the agricultural process, soil moisture has been carefully managed by predicting future changes and deficits. In recent years, statistics and machine learning based approach to predict soil moisture has been preferred in academia for its generalizability and ease...
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핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
토양 수분의 특징은? | 이를 위해서는 미래의 토양 수분을 정확히 예측하고 부족 혹은 과잉에 대처하는 것이 필요하다. 하지만 토양 수분은 기상, 토양 특성, 작물 등의 복잡한 관계에 의해 비선형적으로 변화하기 때문에 이러한 복잡한 변화를 예측을 위한 다양한 연구가 진행되어왔다. | |
토양 수분이란? | 토양 수분은 농작물 생장에 직접적으로 관여하는 중요한 변수로 작물의 정상적 생장을 위해서는 필수적으로 관리되어야 한다. 이를 위해서는 미래의 토양 수분을 정확히 예측하고 부족 혹은 과잉에 대처하는 것이 필요하다. | |
최근 토양수분 예측 연구에서 프로세스 기반 모델(processbased model)을 이용한 접근법의 단점은? | , 2001). 하지만 이러한 모델들은 식생, 토성, 토양의 표면 저항 등 상당히 많은, 구체적은 변수들이 필요하고, 환경이 이질적인 모든 지점들에 대해 별개의 모델을 만들고 파라미터들을 교정(calibration)해야 하는 단점이 있다(Allen et al., 1998; Shin et al. |
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