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Korean Journal of Agricultural and Forest Meteorology

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수록정보
수록범위 : 1권1호(1999)~22권1호(2020) |수록논문 수 : 675
한국농림기상학회지
22권1호(2020년 03월) 수록논문
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1공공 기상데이터와 기계학습 모델을 이용한 토양수분 예측

저자 : 장영빈 ( Young-bin Jang ) , 장익훈 ( Ik-hoon Jang ) , 최영찬 ( Young-chan Choe )

발행기관 : 한국농림기상학회 간행물 : 한국농림기상학회지 22권 1호 발행 연도 : 2020 페이지 : pp. 1-12 (12 pages)

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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 of use in the field. However, little is known that machine learning based soil moisture prediction is applicable in the situation of South Korea. In this sense, this paper aims to examine 1) whether publicly available weather data generated in South Korea has sufficient quality to predict soil moisture, 2) which machine learning algorithm would perform best in the situation of South Korea, and 3) whether a single machine learning model could be generally applicable in various regions. We used various machine learning methods such as Support Vector Machines (SVM), Random Forest (RF), Extremely Randomized Trees (ET), Gradient Boosting Machines (GBM), and Deep Feedforward Network (DFN) to predict future soil moisture in Andong, Boseong, Cheolwon, Suncheon region with open source weather data. As a result, GBM model showed the lowest prediction error in every data set we used (R squared: 0.96, RMSE: 1.8). Furthermore, GBM showed the lowest variance of prediction error between regions which indicates it has the highest generalizability.

KCI등재

2RGB 컬러 이미지를 이용한 콩의 군락 피복과 엽면적에 대한 저비용 평가

저자 : 이윤호 ( Yun-ho Lee ) , 상완규 ( Wan-gyu Sang ) , 백재경 ( Jae-kyeong Baek ) , 김준환 ( Jun-hwan Kim ) , 조정일 ( Jung-il Cho ) , 서명철 ( Myung-chul Seo )

발행기관 : 한국농림기상학회 간행물 : 한국농림기상학회지 22권 1호 발행 연도 : 2020 페이지 : pp. 13-19 (7 pages)

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This study compared RGB color images with canopy light interception (LI) and leaf area index (LAI) measurements for low cost and low labor. LAI and LI were measured from vertical gap fraction derived from top of digital image in soybean canopy cover (cv Daewonkong, Deapongkong and Pungsannamulkong). RGB color images, LAI, and LI were collected from V4.5 stage to R5stage. Image segmentation was based on excess green minus excess red index (ExG-ExR). There was a linear relationship between LAI measured with LI (r2=0.84). There was alinear relation ship between LI measured with canopy cover on image (CCI) (r2=0.94). There was a significant positive relationship(r2=0.74) between LAI and CCI at all grow ingseason. Therefore, it is expected that in the future, the RGB color image could be able to easily measure the LAI and the LI at low cost and low labor.

KCI등재

3Oryza2000 모형 활용을 위한 육묘기 보온 상승온도 결정

저자 : 김준환 ( Junhwan Kim ) , 상완규 ( Wangyu Sang ) , 신평 ( Pyeong Shin ) , 백재경 ( Jaekyeong Baek ) , 권동원 ( Dongwon Kwon ) , 이윤호 ( Yunho Lee ) , 조정일 ( Jung-il Cho ) , 서명철 ( Myungchul Seo )

발행기관 : 한국농림기상학회 간행물 : 한국농림기상학회지 22권 1호 발행 연도 : 2020 페이지 : pp. 20-25 (6 pages)

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Spatial simulation of crop growth often requires application of management conditions to each cell. In particular, it is of great importance to determine the temperature conditions during the nursery period for rice seedlings, which would affect heading date projections. The objective of this study was to determine the value of TMPSB, which is the parameter of ORYZA2000 model to represent temperature increase under a plastic tunnel during the rice seedling periods. Candidate values of TMPSB including 0℃, 2℃, 5℃, 7℃ and 9℃ were used to simulate rice growth and yield. Planting dates were set from mid-April to mid-June. The simulations were performed at four sites including Cheorwon, Suwon, Seosan, and Gwangju where climate conditions at rice fields common in Korea can be represented. It was found that the TMPSB values of 0℃ and 2℃ resulted in a large variation of heading date due to low temperature occurred in mid-April. When the TMPSB value was >7℃, the variation of heading date was relatively small. Still, the TMPSB value of 5℃ resulted in the least variation of heading date for all the planting dates. Our results suggested that the TMPSB value of 5℃ would help reasonable assessment of climate change impact on rice production when high resolution gridded weather data are used as inputs to ORYZA2000 model over South Korea.

KCI등재

4미국 네브라스카의 관개된 옥수수 농업생태계의 복사, 에너지 및 엔트로피의 교환

저자 : 양현영 ( Hyunyoung Yang ) , 요하나마리아인드라와티 ( Yohana Maria Indriwati ) , 앤드류수커 ( Andrew E. Suyker ) , 이지혜 ( Jihye Lee ) , 이경도 ( Kyung-do Lee ) , 김준 ( Joon Kim )

발행기관 : 한국농림기상학회 간행물 : 한국농림기상학회지 22권 1호 발행 연도 : 2020 페이지 : pp. 26-46 (21 pages)

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An irrigated-maize agroecosystem is viewed as an open thermodynamic system upon which solar radiation impresses a large gradient that moves the system away from equilibrium. Following the imperative of the second law of thermodynamics, such agroecosystem resists and reduces the externally applied gradient by using all means of this nature-human coupled system acting together as a nonequilibrium dissipative process. The ultimate purpose of our study is to test this hypothesis by examining the energetics of agroecosystem growth and development. As a first step toward this test, we employed the eddy covariance flux data from 2003 to 2014 at the AmeriFlux NE1 irrigated-maize site at Mead, Nebraska, USA, and analyzed the energetics of this agroecosystem by scrutinizing its radiation, energy and entropy exchange. Our results showed: (1) more energy capture during growing season than non-growing season, and increasing energy capture through growing season until senescence; (2) more energy flow activity within and through the system, providing greater potential for degradation; (3) higher efficiency in terms of carbon uptake and water use through growing season until senescence; and (4) the resulting energy degradation occurred at the expense of increasing net entropy accumulation within the system as well as net entropy transfer out to the surrounding environment. Under the drought conditions in 2012, the increased entropy production within the system was accompanied by the enhanced entropy transfer out of the system, resulting in insignificant net entropy change. Drought mitigation with more frequent irrigation shifted the main route of entropy transfer from sensible to latent heat fluxes, yielding the production and carbon uptake exceeding the 12-year mean values at the cost of less efficient use of water and light.

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1연안해역에서 석유오염물질의 세균학적 분해에 관한 연구

(2006)홍길동 외 1명심리학41회 피인용

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