This paper presents how Digital Knowledge Ecosystem such as “Govi Nena” (translates as agriculture intelligence) can be used to provide a more effective and practical solution to eliminate the inefficiencies in agricultural markets and achieve higher productivity and price stability. In order to establish the framework to analyze the system, this paper uses a set of hypothetical scenarios faced by value chain actors based on a review of the literature, established knowledge and recent developing country experiences. The scenario analysis reveals that “Govi Nena” enables farmers to make effective production decisions, deepens the level of value chain integration, and enhances the level of welfare for the society as a whole.

The objectives of this study were to determine trophic sate of agricultural reservoirs within the four major watersheds and evaluate the ecosystem health using the multi- metric fish modeling approach of Lentic Ecosystem Health Assessments (LEHAs). Agricultural reservoirs, based on Trophic State Index (TSI) ranged from mesotrophic to hypertrophic depending on the intensity of Asian monsoon. Regression analysis of N:P ratios showed a negative linear function (R2 = 0.698, p < 0.0001) with TP values, but not with TN (p = 0.939). The plots of "TSI (CHL) - TSI (TP)" and "TSI (CHL) - TSI (SD)" suggest that other factors other than phosphorus limited algal biomass (CHL - TP < 0), and that non-algal particles dominated light attenuation (CHL - SD < 0). Regression model of fish trophic component against TP showed that the proportion of omnivore (OM) and insectivore fish (IS) had a positive (R2 = 0.679, p < 0.01) and negative linear function (R2 = 0.403, p < 0.05) with TP, respectively. Values of multi-metric LEHAs model averaged 26 6.5, indicating a "Fair" conditions. Overall, the ecosystem health was directly influenced by organic matter pollution and high algal production.

본 연구는 농업용 저수지의 유역권(약 1,500ha) 중 직접 영향을 미칠 수 있는 도시화지역, 농경지 등, 대상지 일대의 생태적 특성을 분석한 후, 이를 바탕으로 생물다양성의 선결과제인 수질관리를 위한 유역권 생태계 관리방안을 제안하였다. 대상지 유역생태계 토지이용현황 분석결과 시가화지역(14.0%)에 의한 수질오염 가능성이 가장 높았고 유형별 분포는 상류에 대면적으로 분포하는 논(65.0%), 밭(11.3%), 시설경작지(5.7%), 과수원(3.9%) 등의 순이었다. 관리를 위해 수질에 영향을 미치는 정도를 평가한 비오톱 유형평가와 오염원 관리 우선정도를 평가한 수계권역 평가를 고려하여 5개 유형으로 구분한 결과, 수변에 인접한 오염원집중관리지역(11.3%)과 오염물질을 유발하고 있으나 수변에서 떨어져 있는 오염원관리지역(0.6%)에 대한 관심이 필요하였다. 관리는 저수지 생물서식 기능 향상 및 유역권 관리를 통한 환경친화적 호소관리를 통한 생물다양성 증진, 생태계 보전 및 복원방안을 제안하였다.

The main habitats of diving beetles in agricultural ecosystems were identified as ponds, irrigation channels, and reservoirs, where the water system is maintained throughout the year. Four species, Cybister japonicus, Cybister brevis, Hyphydrus japonicus and Noterus angustulus, were selected as biological indicators which can be used to evaluate the healthiness of the agricultural ecosystem. The species number of 4 indicator species, the species number of diving beetle species, and the diversity index were used as factors for environmental evaluation. The evaluation was classified into grades Ⅰ~Ⅳ. The non-fertilizer and non-pesticide agricultural practicing area and the sustainable agricultural practicing area were evaluated as grades Ⅰ~Ⅱ, and the general agricultural area to be relatively fine with a grade Ⅱ. However, the analysis indicated the agricultural areas near a residential area and an industrial complex to be poor with a grade of Ⅳ, suggesting that immediate improvement in the agricultural environment is needed.

Agriculture, rural landscapes are accompanied by a variety of environmental issues. Therefore, it is necessary to study on biodiversity and ecosystem services. Horticulture complex is low groundwater recharge function, it can be evaluated as a facility that biodiversity is impaired. The ecosystem services in agricultural landscapes were obtained 19 kinds of functions. Experts survey Groundwater recharge function (4.13) teeth chapter higher, Water storage (4.05), Amphibian & Reptile habitat (3.96), Aquatic insect habitat (3.92), Flood control (3.87), Water purification (3.86), Avian habitat (3.76 ), Creating landscape (3.74), Vegetation diversity (3.71), Experience, Education (3.69), Biological control (3.48), Fishery habitat (3.42), Climate regulation (3.30), Mammal habitat (3.30), Air quality regulation (3.25 ), Mainenance of genetic diversity (3.25), were analyzed in order Rest area (3.14). Improving capabilities in the Detention Pond, Wetland, Green space, Corridor, Non-Chemical, Program development, Green spaces, Rainwater storage facilities, Water cycle system, Surface water storage facilities, Infiltration trench, Water purification facilities, Permeable pavement. Environmentally friendly, and to contribute to sustainable agricultural development through ecological planning.