• 한국유기농업학회지
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• 제24권3호
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• pp.385-412
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• 2016

This paper analyzes economic efficiency of strawberries and tomatoes farms using the data envelopment analysis (DEA). We examine how production characteristics and farm size affect overall efficiency (OE), allocative efficiency (AE), and technological efficiency (TE). We also survey sample farm households from the Farm Income Investigation database of Rural Development Administration to investigate management and cultivation techniques and to analyze economic efficiency by technique. Implications for improving efficiency are suggested in the conclusion.

• 농촌계획
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• 제20권3호
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• pp.89-100
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• 2014

The purpose of this study is to investigate whether the effect of the Strong Small Farm Development Project by Rural Development Administration is positively associated with participating farmers. The data that used in this study is a survey data that targets 442 farming households who have participated in the strong small farm development project. This study applies ordered-probit model to evaluate level of the participants' satisfaction of the project. This study found that participants' level of satisfaction is closely associated by satisfaction level of project contents that contains education and consulting, friendly attitude toward the project, active participation of the project, and understanding of the project's contents and their importances. Based on research findings, this research provides some implications of future upbringing policy for strong small farms and the principal point of the policy that leads to succeed in implementing the project when formulating agricultural policy in participants view. the strong small farms.

• 풍력에너지저널
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• 제14권2호
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• pp.14-25
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• 2023

This study focuses on proposing measures for the reasonable development of offshore wind farms using the case of Norway, which was the first nation in the world to build a floating offshore wind farm of 80 MW or more. Norwegian authorities conducted a strategic environment assessment in 2012 to select offshore wind farm sites, discovered 15 potential sites, and finally decided on two designated sites in 2020. Based on various survey data such as seabirds, marine environment, and fishing activities, scientific-based spatial analysis was conducted to select additional offshore wind farm sites in line with future development plans. In addition, a government-led steering committee and advisory group have established marine spatial plans since 2002. Therefore, it will be possible to listen to and coordinate the opinions of stakeholders by using the steering committee and advisory group for offshore wind power development. By examining the case of Norway, we suggest the following policy points that can achieve carbon neutrality and develop sustainable offshore wind farms: 1. Establish a government-led steering committee and advisory group that can select potential sites for offshore wind farms by coordinating the opinions of stakeholders 2. Induce efficient and sequential offshore wind farm development by using various survey data and scientific-based spatial analysis.

• 한국어병학회지
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• 제27권1호
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• pp.77-83
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• 2014

2012년 5월에서 10월 사이에 우리나라 넙치 육상 양식장을 대상으로 폐사 피해 및 수산생물용 의약품 사용량을 전수 탐문조사와 표본 정밀조사의 형태로 진행하였다. 조사는 해당 양식장과 거래하고 있거나 관계를 맺고 있는 전국의 수산질병관리사 조사요원의 직접 현장 방문을 통한 면접과 표준 매뉴얼을 통한 진단을 통하여 실시하였다. 전국 565개의 넙치 육상 양식장을 대상으로 한 탐문 전수조사에서 해당기간 동안의 피해율은 27.18%로 집계되었고, 표본 60개소의 총 피해율은 25.50%로 나타났다. 표본조사의 피해율 조사가 $95{\pm}10%$ 이내의 신뢰성이 있는 것으로 확인되었다. 피해원인 별로는 탐문조사 및 표본조사에서 모두 스쿠티카병, 자연감모, 연쇄구균병, VHS, 선별도태, 비브리오병, 활주세균병 등의 원인이 높은 피해율을 보이는 것으로 집계되었다. 피해 중량과 피해금액을 봤을 때는 고체중의 넙치에서 발생한 비감염성 원인에 의한 폐사피해 및 연쇄구균증이 매우 높은 피해율을 보여주었다. 표본조사에서 수산생물용의약품의 사용량을 조사한 결과, 가장 많이 사용되었던 의약품은 스쿠티카병 치료목적의 formalin 약욕제제인 것으로 나타났고, 항균 항생물질로는 연쇄구균병의 치료목적으로 사용되는 amoxicillin, florfenicol과 광범위 항균작용을 기대하는 oxytetracycline, neomycin 등의 사용량이 높았다.

• 농업과학연구
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• 제24권1호
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• pp.21-28
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• 1997

전국 일원의 시설 재배 농가 중 353 농가를 방문하여 해충 및 천적의 분포를 조사한 결과 전체 조사 농가의 73%에서 총 52종의 해충이 발생되고 있었으며 이 중 꽃노랑총채벌레, 점박이응애, 온실가루이, 목화진딧물, 복숭아혹진딧물 등이 주요 해충으로 조사되었다. 천적의 발생은 아주 미미하였으나 방문 농가의 11%인 40개소의 시설재배 농사에서 확인하였으며 이는 해충이 발생한 농가의 약 17%에서 볼 수 있었다. 주요 천적으로는 전체 조사 천적 중 진디벌류가 63%, 무당벌레류가 20%, 애꽃노린재류가 8%를 차지하였으며 이들 이외에도 꽃등에류, 포식응애류, 풀잠자리류, 좀벌류, 혹파리류가 채집되었다. 또한 주요 작물별 해충과 천적의 발생정도를 살펴본 결과 토마토에서는 온실가루이, 오이에서는 꽃노랑총채벌레, 목화진딧물, 참외 및 수박에서는 꽃노랑총채벌레와 응애류, 고추에서는 복숭아혹진딧물과 꽃노랑총채벌레, 딸기에서는 응애류와 진딧물류 등이 주요해충으로 조사되었다.

• 농업과학연구
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• 제47권4호
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• pp.743-752
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• 2020

The purpose of this study was to estimate the economic evaluation of a smart farm investment for tomatoes and strawberries. In addition, the potential adoption rate of the smart farm was derived for different scenarios. This study analyzed the economic evaluation with the net present value (NPV) method and estimated the adoption potential of the smart farm with the trade-off analysis, minimum data (TOA-MD) model. The results were as follows: The analysis of the net present value shows that the smart farm investment for the two crops are economically feasible, and the minimum prices for the tomatoes and strawberries should be 1,179 and 3,797 won/kg to secure a sufficient economic feasibility for the smart farm investment. Next, the analysis of the potential adoption rates for smart farms through the TOA-MD model showed that when the support ratio for the adoption of a smart farm system was 50% and the price increase rates were, respectively, - 5, 2.5, 0, 2.5, and 5%, the conversion rates for tomato farms to switch to smart farms were 0.97, 1.78, 3.05, 4.91, and 7.47%, while the ratios of the strawberry farms to switch to smart farms were 0.12, 0.29, 0.65, 1.33, and 2.53%, respectively. This study has some known limitations, but it provides useful information on decision making about smart farm adoption and can contribute to government policies on smart farms.

• 전기학회논문지
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• 제60권12호
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• pp.2183-2189
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• 2011

Since main portion of the required electric power in Jeju Island is provided from the mainland through two HVDC lines, Jeju HVDC has a most significant impact on Jeju power system. Average wind speed of Jeju Island is the highest among several candidates in South Korea. So, Jeju Island has been a suitable site for the construction of wind farms where several wind farms are now operating and several others to be sited. Since the large-scale wind generation could have adverse impacts on the stable operation of Jeju power system, wind power is also important for the stability of Jeju power system. Therefore, accurate modeling of Jeju HVDC and wind farms is required for stability analysis of Jeju power system. In this paper, PSS/E-based dynamic modeling of Jeju HVDC and DFIG wind farms is proposed. Model-writing technique of PSS/E is used to develop USRAUX model and USRMDL model for controlling the frequency of HVDC and imposing an operation limit of wind power, respectively. Dynamic characteristics of Jeju HVDC and DFIG wind farms are analyzed through the dynamic simulations. The simulation results show the effectiveness of the developed models for Jeju power system.

• Asian-Australasian Journal of Animal Sciences
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• 제8권5호
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• pp.505-513
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• 1995

The major factors affecting productivity on daily farms in Queensland, Australia, were determined using the stepwise linear regression approach. The data were obtained from a survey conducted on the total population of daily farms in Queensland in 1987. These data were divided into six major dailying regions. The technique was applied using 12 independent variables believed by a panel of experienced research and extension personnel to exert the most influence on milk production. The regression equations were all significant (p < 0.001) with the percentage coefficients of determination ranging from 62 to 76% for equations developed using' total farm milk: production as the dependent variable. Three of the variables affecting total farm milk: production were found to be common to all six regions. These were; the amount of supplementary energy fed, the area set aside to irrigate winter feed and the size of the area used for dailying. Higher production farms appeared to be more efficient in that they consistently produced milk production levels higher than those estimated from the regression equation for their region. Other methods of analysis including robust regression and non linear regression techniques were unsuccessful in overcoming this problem and allowing development of a model appropriate for farms at all levels of production.

• 농촌지도와개발
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• 제24권1호
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• pp.1-8
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• 2017

The Purpose of this study is to predict farm size per farming household in Chungcheongnam-province by using the Markov chains and Quadratic Programming.. The results are as follows; First, small-scale farms with less than 1.0ha of land are predicted to be still more than half (of total farming households) in 2025 as well. Second, large-scale farms with 3.0ha-5.0ha land and extra large-scale farms with over 5.0ha of land are predicted to gradually expand their proportion in total farm scale. Third, middle-scale farms with 1.0ha-3.0ha land are forecasted to be reduced in their relative proportion. It is required to take into account regional characteristics to improve the effectiveness of a rice industry policy. Therefore, this study has some significance in attempting to research on the ownership structure of rice production areas in consideration of target regions.

• 수산경영론집
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• 제46권1호
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• pp.63-74
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• 2015

Due to red tide and abnormal currents that take place every year, the damage of inland fish farms that takes sea water is increasing frequently. Also, the households of inland fish farm due to the increase in the cost of fuel and electricity are struggling many hardships economically. In relation to underground seawater for it's farm analyzed economic effect based on the actual conditions for 1,700 inland fish farms, from this I have deduced policy implications for direction this project to be pursued from now on. The saving rate of costs of the fuel and electricity through the development of an underground seawater were approximately analyzed to decline about 3.4~9.7%, if utilizing only about 5% of the undeveloped farms, it was estimated effect of about 61 billion won, if 10%, it was estimated effect of about 122 billion won. Consideration in selecting the developer of underground seawater will be selected an character of farm method. It is expected this study will be helpful for business analysis related government in the fisheries.