기후 원격상관 기반 통계모형을 활용한 국내 벼멸구 발생 예측

김광형,조재필,이용환,Kim, Kwang-Hyung,Cho, Jeapil,Lee, Yong-Hwan 한국응용곤충학회 2016 한국응용곤충학회지 Vol.55 No.2

작물 재배 시 주요 해충 발생에 대해 한두 달 이상 앞선 계절전망이 가능하다면 농가의 해충관리 의사결정이 보다 효율적으로 이루어질 수 있을 것이다. 본 연구에서는 국내 해충 발생과 통계적으로 유의미한 원격상관관계에 있는 기후현상을 찾기 위해 Moving Window Regression (MWR) 기법을 활용하였다. 벼멸구의 발생과 비래는 장기간에 걸쳐 여러 지역에서 연속적으로 일어나는 사건이기 때문에 비슷한 시공간적 규모를 갖는 기후현상과 통계적인 연관성을 가질 가능성이 높아 본 연구의 대상 해충으로 선택하였다. MWR 통계 분석의 반응변수로써 1983년부터 2014년까지 국내 벼멸구 발생면적 자료를 사용하였고, 10개의 기후모형에서 생산되는 10개의 기후변수를 예보 선행시간별로 추출하여 설명변수로 사용하였다. 최종적으로 선정된 각 MWR 모형의 특정 시기와 지역의 기후변수는 연간 벼멸구 발생면적 자료와 통계적으로 유의한 상관관계를 보였다. 결론적으로, 본 연구에서 개발한 MWR 통계 모형을 통해 국내 벼멸구 발생 위험도에 따른 선제적 대응을 위한 벼멸구 계절전망이 가능할 것으로 보인다. A seasonal outlook for crop insect pests is most valuable when it provides accurate information for timely management decisions. In this study, we investigated probable tele-connections between climatic phenomena and pest infestations in Korea using a statistical method. A rice insect pest, brown planthopper (BPH), was selected because of its migration characteristics, which fits well with the concept of our statistical modelling - utilizing a long-term, multi-regional influence of selected climatic phenomena to predict a dominant biological event at certain time and place. Variables of the seasonal climate forecast from 10 climate models were used as a predictor, and annual infestation area for BPH as a predictand in the statistical analyses. The Moving Window Regression model showed high correlation between the national infestation trends of BPH in South Korea and selected tempo-spatial climatic variables along with its sequential migration path. Overall, the statistical models developed in this study showed a promising predictability for BPH infestation in Korea, although the dynamical relationships between the infestation and selected climatic phenomena need to be further elucidated.

농업기상 빅데이터를 활용한 스마트 식물병 관리

김광형(Kwang-Hyung Kim),이준혁(Junhyuk Lee) 한국식물병리학회 2020 식물병연구 Vol.26 No.3

기후변화와 이상기후, 급변하는 사회경제적 환경 하에 식량안보를 확보하고 지속가능한 성장을 위해서는 기존의 관행농업을 벗어나 빅데이터와 인공지능을 활용한 스마트농업으로의전환이 시급하다. 스마트농업을 통해 식물병을 효율적으로 관리하기 위해서는 다양한 첨단기술과 융합할 수 있는 농업 빅데이터가 우선 확보되어야 한다. 본 리뷰에서는 스마트식물병관리를 위해 식물병리학 분야에서 기여할 수 있는 기상환경 및 농업 빅데이터에 대해 알아보고 이를 활용한 식물병의 예측, 모니터링 및 진단, 방제, 예방 및 위험관리의 각 단계별로 현재 우리가 어느 위치에 있는지를 살펴보았다. 이를 바탕으로 현재까지스마트식물병관리를 위해 준비해온 것과 미흡했던 부분, 앞으로 나아가야 할 방향을 제시하고자 한다. Climate change, increased extreme weather and climate events, and rapidly changing socio-economic environment threaten agriculture and thus food security of our society. Therefore, it is urgent to shift from conventional farming to smart agriculture using big data and artificial intelligence to secure sustainable growth. In order to efficiently manage plant diseases through smart agriculture, agricultural big data that can be utilized with various advanced technologies must be secured first. In this review, we will first learn about agrometeorological big data consisted of meteorological, environmental, and agricultural data that the plant pathology communities can contribute for smart plant disease management. We will then present each sequential components of the smart plant disease management, which are prediction, monitoring and diagnosis, control, prevention and risk management of plant diseases. This review will give us an appraisal of where we are at the moment, what has been prepared so far, what is lacking, and how to move forward for the preparation of smart plant disease management.

프로야구 구단의 서비스품질과 구단신뢰, 구단이미지, 구단동일시, 구단충성도 및 재관람의도와의 구조적 관계

김광형(Kim, Gwang Hyeong),김용만(Kim, Yong Man) 한국사회체육학회 2020 한국사회체육학회지 Vol.0 No.80

Purpose: The purpose of this study is to examine the relationship amogn professional baseball club’s service quality, club trust, club image, club identification, and revisit intent. Method: The spectators who watched 2018 KBO League game were sampledT. he survey was conducted on 300 spectators who watched game in Jamsill Baseball Stadium, located in Seoul from March 25 to April 15, 2018. For data processing, this study conducted frequency analsyis, exploratory factor analysis, and reliability analysis using SPSSWIN VER. 22.0. To verify the concentration avlidity and discrimination validity of measurement items in the results of exploratory factor analysis in th estudy, the confirmatory factor analysis and correlation analysis were carried out using AMOS 18.0. Moreover, structural equation model was analyzed to verify the model and hypothesis. Results: The research findings were as follows. First, the professiona bl aseball club’s service quality had a positive impact on the club trust. Second, the club trust posivitely influenced the club image. Third, the club trust positively influenced the club identification. Fourth, the club image had a positive impact on the club loyalty. Fifth, the club identification had a positive impact onh te club loyalty. Sixth, the club loyalty had a positive impact on the revisit intention. Conclusion: Through the results of this study, it is found that in ordero tinduce the spectators to revisit , service quality should be improved first. When service qualityim proves, the spectator trusts the club, builds a positive club image, and creates a high club identification & lucb loyalty. Therefore, a practical and long-term marketing and management strategy must be established to improve service quality.

기후변화에 따른 국내 키위 품종 ‘해금’의 개화시기 변동과 전망에 대한 불확실성: 전남 키위 주산지역을 중심으로

김광형 ( Kwang Hyung Kim ),정여민 ( Yeo Min Jeong ),조윤섭 ( Youn Sup Cho ),정유란 ( Uran Chung ) 한국농림기상학회 2016 한국농림기상학회지 Vol.18 No.1

It is highly anticipated that warming temperature resulting from global climate change will affect the phenological pattern of kiwifruit, which has been commercially grown in Korea since the early 1980s. Here, we present the potential impacts of climate change on the variations of flowering day of a gold kiwifruit cultivar, Haegeum, in the Jeonnam Province, Korea. By running six global climate models (GCM), the results from this study emphasize the uncertainty in climate change scenarios. To predict the flowering day of kiwifruit, we obtained three parameters of the ‘Chill-day’ model for the simulation of Haegeum: 6.3oC for the base temperature (Tb), 102.5 for chill requirement (Rc), and 575 for heat requirement (Rh). Two separate validations of the resulting ‘Chill-day’ model were conducted. First, direct comparisons were made between the observed flowering days collected from 25 kiwifruit orchards for two years (2014-15) and the simulated flowering days from the ‘Chill-day’ model using weather data from four weather stations near the 25 orchards. The estimation error between the observed and simulated flowering days was 5.2 days. Second, the model was simulated using temperature data extracted, for the 25 orchards, from a high-resolution digital temperature map, resulting in the error of 3.4 days. Using the RCP 4.5 and 8.5 climate change scenarios from six GCMs for the period of 2021-40, the future flowering days were simulated with the ‘Chill-day’ model. The predicted flowering days of Haegeum in Jeonnam were advanced more than 10 days compared to the present ones from multi-model ensemble, while some individual models resulted in quite different magnitudes of impacts, indicating the multi-model ensemble accounts for uncertainty better than individual climate models. In addition, the current flowering period of Haegeum in Jeonnam Province was predicted to expand northward, reaching over Jeonbuk and Chungnam Provinces. This preliminary result will provide a basis for the local impact assessment of climate change as more phenology models are developed for other fruit trees.

오프라인 모바일 환경을 위한 Sentinel-2 위성이미지를 활용한 지도제작 방법 연구

이성규(Lee, Seongkyu),김광형(Kim, Kwang-Hyung) 대한토목학회 2018 대한토목학회 학술대회 Vol.2018 No.10

CIM / CAD BOM SYSTEM개발

유상진(Sang Jin Yoo),김광형(Gwang Hyung Kim) 한국정보시스템학회 2000 한국정보시스템학회 추계 학술발표논문집 Vol.2000 No.-

정보시스템 이론 / 일본기업의 직관적 사고와 경영정보관리

진장선(Jang Sun Jin),임준식(Joon Sik Lim),윤청수(Chung Soo Yoon),김광형(Gwang Hyung Kim) 한국정보시스템학회 2000 한국정보시스템학회 춘계 학술발표논문집 Vol.2000 No.-

Past and Future Epidemiological Perspectives and Integrated Management of Rice Bakanae in Korea

Soobin Shin,류현주,Jin-Yong Jung,윤윤주,Gudam Kwon,Nahyun Lee,Na Hee Kim,Rowoon Lee,Jiseon Oh,Minju Baek,Yoon Soo Choi,Jungho Lee,김광형 한국식물병리학회 2023 Plant Pathology Journal Vol.39 No.1

In the past, rice bakanae was considered an endemic disease that did not cause significant losses in Korea; however, the disease has recently become a serious threat due to climate change, changes in farming practices, and the emergence of fungicide-resistant strains. Since the bakanae outbreak in 2006, its incidence has gradually decreased due to the application of effective control measures such as hot water immersion methods and seed disinfectants. However, in 2013, a marked increase in bakanae incidence was observed, causing problems for rice farmers. Therefore, in this review, we present the potential risks from climate change based on an epidemiological understanding of the pathogen, host plant, and environment, which are the key elements influencing the incidence of bakanae. In addition, disease management options to reduce the disease pressure of bakanae below the economic threshold level are investigated, with a specific focus on resistant varieties, as well as chemical, biological, cultural, and physical control methods. Lastly, as more effective countermeasures to bakanae, we propose an integrated disease management option that combines different control methods, including advanced imaging technologies such as remote sensing. In this review, we revisit and examine bakanae, a traditional seed-borne fungal disease that has not gained considerable attention in the agricultural history of Korea. Based on the understanding of the present significance and anticipated risks of the disease, the findings of this study are expected to provide useful information for the establishment of an effective response strategy to bakanae in the era of climate change.