The development of informatization impacts all sectors, including agriculture. Agricultural informatization builds the knowledge linkage structures of agricultural innovation systems globally. This study investigated the global knowledge linkage structures in agricultural innovation pertinent to information technology (IT) for agricultural research and development (R&D) investments and activities. We explored the longitudinal trend of systemness within the networked research relationships in the triple helix (TH) of the university, industry and government (UIG). We collected data from publications in the Science Citation Index (SCI), the Social Sciences Citation Index (SSCI), and the Arts and Humanities Citation Index (A&HCI) to analyze the TH network dynamics. We also performed a scientometrics analysis to quantitatively identify the knowledge and insights of global agricultural innovation structures. These results could be informative for individual countries. Our findings reveal that the global knowledge linkage structures in the agricultural sector that are pertinent to IT fluctuate widely and fail to increase the capacity of agricultural innovation research due to a neglect of the network effects of the TH dynamics of UIG.

Wind load is known to be one of major forces to influence the stability of agricultural structures. General flow fields were calculated to determine flow characteristics over the envelop of the following three types of greenhouses with arched roof : single span, twin span greenhouses, and two single span greenhouses apart 3m inbetween. Pressure coefficients along the envelop of greenhouse were numerically calculated by the k-ε turbulence model, which lead to determine wind forces on it. Curvilinear coordinate for an arched roof and the upwind scheme were adopted for the study. The calculated pressure coefficients were validated with the avaliable data of Japanese Standard and NGAM Standard. The Magnitude of calculated forces over the envelop was not in good accordance with data except the windward wall. Even tile data of Japanese and NGAM Standard for validation deviated a lot from each other in quantity and quality. Such discrepancy may be attributed to different geometric and/or flow configuration conditions for experiments, or the insenstivity of the k-ε turbulence model to recirculation flow.

본 연구는 상대적으로 활하중의 영향이 민감하게 작용하는 농업시설의 합리적 구조설계를 위하여 우리나라 60개 지역의 자료를 사용하여 중요한 설계하중의 결정요인인 단위적설중량, 순간최대풍속 및 최대신적설심의 그 적용에 관하여 검토하였고, 얻어진 결과를 요약하면 다음과 같다. 1. 적설심에 다른 단위적설중량을 분석한 결과 적설심에 따른 차이는 발견할 수 없었고 대체적으로 정규분포를 이루고 있다. 평균기온에 의하여 단위중량을 구분해본 결과 -1℃ 이상에서는 단위중량이 평균 0.91kg/cm/m2, -1℃ 이하에서는 평균 0.58kg/cm/m2로 나타나 기온에 의한 차이가 명확했다. 2. 평균최대풍속과 순간최대풍속과의 관계를 도출하여 회귀식을 유도한 결과, 일반적으로 사용하고 있는 순간최대풍속 관계식과는 약간의 차이를 보였다. 해안지방과 내륙지방에 2개지역으로 구분하여 순간최대풍속 관계식을 유도하였다. 3. 재현기간별 최대적설심과 최대신적설심을 비교한 결과, 눈이 적은 지방에서는 큰 차이가 없으나, 비교적 눈이 많은 지방의 경우 재현기간 8년에서는 24.6cm, 57년에서는 45.6cm로 큰 차이를 보여, 난방 및 적절한 관리를 전제로 설계하면 신적설에 의하여 설계하중을 크게 감소시킬 수 있음을 나타냈다. 4. 기존식과 수정식의 설계풍속(진주지역) 및 최대적설심과 최대신적설심(서산지역)의 적용시, 2연동아치형시설의 부재사용량은 각각의 경우에 대하여 +0.3배, -0.3배이었고, 2연동지붕형 시설의 부재사용량은 각각 +0.3배, -0.1배이었기 때문에 시설의 특성에 맞는 설계자료의 선정이 매우 중요하다.

본 연구는 개인용 컴퓨터를 이용하여 농업토목 수리구조물의 안전도평가시스템을 개발하는데 목적이 있다. 본 시스템은 상호 유기적인 관계를 가지고 있는 데이타베이스, 구조해석, 안전도분석/평가, 입출력도식화의 4가지 서브시스템으로 구성되었으며, 사용자 위주의 풀다운식 메뉴드라이빙 형태로 개발되었다. 노후손상된 구조물의 안전도평가에 사용된 주요 알고리즘은 신뢰성이론에 의한 합리적 내하력 평가방법에 기초하였다. 본 연구에서 개발된 안전도평가 시스템은 노후손상된 농업토목 수리구조물의 안전도 및 내하력 평가를 위한 효율적인 수단으로서 실무에서 널리 사용될 수 있을 것이라고 사료된다.

The purposes of this study are to examine the structural differences between the agriculture of Korea and Japan, to clarify the characteristics of Korean agriculture and to determine the extent of development of agriculture in Korea as compared to Japan, In order to do this, the existing literature research reports and secondary data of both countries were used. The main findings are as follows : 1) The percentages of upland fields have inclined to increase in Japan, while those of paddy fields have increased in Korea. However, the size of cultivated land per farm is about the same. 2) The percentage of part-time household was 85% in Japan, against 22% in Korea. 3) Farm household income was more than non-farm household income in Japan, wherease : 92% was non-farm household income in Korea. 4) The farm mechanization is more advanced in Japan than Korea. In conclusion, Korea legs behind Japan in the following areas: (1) Farm mechanization (2) the structure of food consumption ; (3) industrialization and urbanization in Korea progressed more rapidly as compared with Japan ; (4) industry became overconcentrated in the Seoul metropolitan area.

As the impacts of climate change have been emerged all the way through society, the potential risks specifically on agricultural water and facilities are recently getting concerned. Evaluating vulnerability of agriculture to climate change on is a time-tested strategy. While a number of researches on the adaption and mitigation of climate change were performed in various aspects for sustainable agricultural production, the vulnerability of management system for agricultural water and infrastructure has not been investigated yet. This study is aimed to clarify the definition of vulnerability to climate change, find the major indicators able to presume the vulnerability, and finally determine the relative importance of the indicators based on the specialist questionnaire survey and its analyses. The lists of indicators for major parts of agricultural water management such as, water use, flood control, reservoir related issues, and pumping and drainage systems are initialized referring to the related precedent studies. The primary survey was conducted in the form of Delphi to complement the list and methods and the main survey was then conducted using AHP(Analytic Hierarchy Process) technique to quantitatively prioritize the indicators. The results derived in this study would be directly adopted in weighting importance of indicators to investigate the indicator-based vulnerability analysis to climate change in agricultural water and infrastructure management.

Organic agriculture is well known to be not only affecting the physical and chemical status of the soil but also closely connected to the biodiversity through complex community structure and ecological interactions. Current study monitored and analyzed the invertebrate biodiversity of organic and conventional paddy fields and upland fields from April, 2017 to August, 2017. Total of 680 species (with 14,371 individuals) were confirmed - more number of species were identified at the organic agriculture practicing fields. According to the various indices analysis, organic paddy field showed about 40% higher diversity index, while organic upland field showed about 10% higher diversity index. Richness index at organic paddy field was 60% higher compared to conventional paddy field, while organic upland field showed 40% higher value. Dominance and evenness index at conventional agriculture practicing fields were low, which possibly indicate at least partial dominance phenomenon. Hemipteran, dipteran and aranean species showed highest diversity in all fields, while dipteran, hemipteran, aranean and coleopteran species had highest diversity in conventional agriculture practicing fields.

The key objective of this study was to evaluate trophic state and empirical water quality models along with analysis of fish trophic guilds in relation to water chemistry (N, P). Trophic state index (TSI), based on total phosphorus (TP) and chlorophyll-a (CHL), ranged between oligotrophic and hypereutrophic state, by the criteria of Nürnberg(1996), and was lower than the trophic state of total nitrogen (TN). Trophic relations of Secchi depth (SD), TN, TP, and CHL were compared using an empirical models of premonsoon (Pr), monsoon (Mo), and postmonsoon (Po). The model analysis indicated that the variation in water transparency of Secchi depth (SD) was largely accounted (p < 0.001, range of R2 : 0.76–0.80) by TP during the seasons of Mo and Po and that the variation of CHL was accounted (p < 0.001, R2 = 0.70) up to 70% by TP during the Po season. The eutrophication tendency, based on the TSITP vs. TSIN:P were predictable (R2 ranged 0.85–0.90, p < 0.001), slope and y intercept indicated low seasonal variability. In the mean time, TSIN:P vs. TSICHL had a monsoon seasonality in relation to values of TSIN:P during the monsoon season due to a dilution of reservoir waters by strong monsoon rainfall. Trophic compositions of reservoir fish reflected ambient contents of TN, TP, and CHL in the reservoir waters. Thus, the proportions of omnivore fish increased with greater trophic conditions of TP, TN and CHL and the proportions of insectivore fish decreased with greater trophic conditions.