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Field measurement results of Tsing Ma suspension Bridge during Typhoon Victor
Xu. Y.L., Zhu. L.D., Wong. K.Y., Chan. K.W.Y. 테크노프레스 Structural engineering and mechanics : An international journal 15 Pages
테크노프레스 Structural engineering and mechanics : An international journal 2000, Vol.10 No.6 545-559 (15 pages)
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Occurrence and Epidemics of Bacterial Canker of Kiwifruit in Korea
한국식물병리학회 The Plant Pathology Journal 11 Pages
한국식물병리학회 The Plant Pathology Journal 2017, 33권 4호 1 351-361 (11 pages)
Bacterial canker is the largest limiting factor in the cultivation and production of kiwifruit worldwide. Typical symptoms comprise necrotic spots on leaves, canker and dieback on canes and trunks, twig wilting, and blossom necrosis. Pseudomonas syringae pv. actinidiae (Psa), which is the causal agent of kiwifruit bacterial canker, is divided into four biovars based on multilocus sequence analysis of different genes, additional PCR testing of pathogenic genes (argKtox cluster, cfl, and various... -
Outbreaks of Yuzu Dieback in Goheung Area: Possible Causes Deduced from Weather Extremes
한국식물병리학회 The Plant Pathology Journal 9 Pages
한국식물병리학회 The Plant Pathology Journal 2015, 31권 3호 10 290-298 (9 pages)
weakness to the affected trees. Furthermore, there was an increased frequency of strong wind events, seven times in 2012 compared to only a few times in the previous years, that could also lead to extensive injuries on branches. In conclusion, we estimated that the possible damages by severe frost and frequent strong wind events during 2012 could cause the yuzu trees to be vulnerable to subsequent fungal infection by providing physical entries and increasing plant susceptibility to infections. -
Development of a Model to Predict the Primary Infection Date of Bacterial Spot (Xanthomonas campestris pv. vesicatoria) on Hot Pepper
한국식물병리학회 The Plant Pathology Journal 11 Pages
한국식물병리학회 The Plant Pathology Journal 2014, 30권 2호 3 125-135 (11 pages)
the field were minimal. For example, predicted infection dates for 7 locations were within the same month as the actual infection dates, 11 locations were within 1 month of the actual infection, and only 3 locations were more than 2 months apart from the actual infection. The predicted infection dates were mapped from 2009 to 2012; 2011 was the most severe year. Although the model was not sensitive enough to predict disease severity of less than 0.1% in the field, our model predicted bacterial... -
농업기상 빅데이터를 활용한 스마트 식물병 관리
김광형, 이준혁 한국식물병리학회 식물병연구 13 Pages
한국식물병리학회 식물병연구 2020, 26권 3호 1 121-133 (13 pages)
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...
