• 제목/요약/키워드: Optimal harvest policy

검색결과 16건 처리시간 0.022초

장기산림경영계획의 목표수확량 산출을 위한 목표계획법의 적용 (Estimation of Optimal Harvest Volume for the Long-term Forest Management Planning using Goal Programming)

  • 원현규;김영환;권순덕
    • 한국산림과학회지
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    • 제98권1호
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    • pp.125-131
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    • 2009
  • 산림청에서는 지속가능한 산림경영의 실현과 국내 목재수급 및 우량 목재자원 확보를 위해서 전국 450개 단지, 292만ha의 산림을 경제림육성단지로 지정하고, 경제림육성단지별 관리계획을 수립하도록 하였으며, 이를 통해 각 지자체에서 보다 체계적이고 집약적으로 산림사업을 관리할 수 있도록 유도하고 있다. 현재 우리나라 산림의 대부분은 III, IV영급에 집중되어 있기 때문에 지속가능한 산림경영을 위해서는 이러한 불균형한 영급구조를 개선하는 것이 무엇보다 시급한 과제이다. 본 연구에서는 충북 영동군의 경제림육성단지를 대상으로 이 지역의 산림을 지속가능한 영급구조로 유도할 수 있도록 경영목표를 설정하고, 이를 위해 필요한 벌채수확량을 산출하였다. 벌채수확량의 최적화를 위해서 목표계획법(Goal Programming)을 적용하였으며, 그 결과 연구대상지의 산림을 지속가능한 영급구조로 유도하기 위해서는 50년을 전체사업기간으로 하여 매 분기(10년)별로 약 124만$m^3$의 벌채수확이 필요한 것으로 나타났다. 본 연구결과는 앞으로 영급구조 개선을 위한 관련 정책 및 사업들을 수립하는데 활용될 것으로 기대된다.

Machine learning application for predicting the strawberry harvesting time

  • Yang, Mi-Hye;Nam, Won-Ho;Kim, Taegon;Lee, Kwanho;Kim, Younghwa
    • 농업과학연구
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    • 제46권2호
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    • pp.381-393
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    • 2019
  • A smart farm is a system that combines information and communication technology (ICT), internet of things (IoT), and agricultural technology that enable a farm to operate with minimal labor and to automatically control of a greenhouse environment. Machine learning based on recently data-driven techniques has emerged with big data technologies and high-performance computing to create opportunities to quantify data intensive processes in agricultural operational environments. This paper presents research on the application of machine learning technology to diagnose the growth status of crops and predicting the harvest time of strawberries in a greenhouse according to image processing techniques. To classify the growth stages of the strawberries, we used object inference and detection with machine learning model based on deep learning neural networks and TensorFlow. The classification accuracy was compared based on the training data volume and training epoch. As a result, it was able to classify with an accuracy of over 90% with 200 training images and 8,000 training steps. The detection and classification of the strawberry maturities could be identified with an accuracy of over 90% at the mature and over mature stages of the strawberries. Concurrently, the experimental results are promising, and they show that this approach can be applied to develop a machine learning model for predicting the strawberry harvesting time and can be used to provide key decision support information to both farmers and policy makers about optimal harvest times and harvest planning.

무선 에너지 하비스팅 인지 무선 네트워크에서 최적화 제어 정책을 이용한 선택적 스펙트럼 접근 (Opportunistic Spectrum Access Using Optimal Control Policy in RF Energy Harvesting Cognitive Radio Networks)

  • 정준희;황유민;차경현;김진영
    • 한국위성정보통신학회논문지
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    • 제10권3호
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    • pp.6-10
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    • 2015
  • 무선 에너지 하비스팅 기술은 주로 무선 통신 네트워크에서 전력소모가 적은 무선 통신 장치들을 동작시키기 위해 주변 환경으로부터 RF 신호를 수집, 에너지로 변환하는 기술로 최근 각광을 받고 있다. 이와 같은 기술과 기존의 인지무선(Cognitive Radio) 네트워크 모델을 기반으로, 본 논문에서는 적은 파워 소비를 하는 2차 유저(Secondary User)가 근처에서 동작 중인 1차 유저(Primary User)의 특정 거리 안에 존재할 때 1차 유저가 전송한 통신 신호로부터 무선에너지 하비스팅을 하고 특정 거리 밖에 존재할 때 우선 사용자에게 할당되어 있는 허가대역을 주기적으로 센싱, 선택적으로 접근하는 무선에너지 하비스팅 인지무선 네트워크 모델을 제시한다. 이 때 1차 유저와 2차 유저는 Poisson pont process로 분포되어있고 통신을 하고 있는 수신자들과 일정한 거리로 떨어져있다. 위와 같은 네트워크 모델에서 주어진 여러 가지 조건하에 2차 유저 네트워크 처리량을 최대화할 수 있는 최적의 프레임 주기, 전송파워, 2차 유저 밀도 제안하고 앞으로의 연구방향을 제시한다.

생태계 복원사업의 생태.경제 통합체계 동태분석(II) -임진강 참게 복원사업의 확장모형- (An Integrated Ecological-Economic System Dynamics Model Analysis on the Ecosystem Restoration Policy (II): Extensions and Relaxations of the Model of King Crabs in the Imjin River, Korea)

  • 정회성;전대욱
    • 한국시스템다이내믹스연구
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    • 제7권2호
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    • pp.97-120
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    • 2006
  • This paper deals with the extension of and discussion on the System Dynamics model (Jeong & Jeon, 2005) of river crabs in Korea. The previous model has been elaborated to empirically search for the optimal restoration and harvest rates of crabs in the Imjin River, on the basis of theoretical models of population dynamics in the field of bio-mathematics and environmental economics. In this paper, the authors tries to couple a series of new feedback loops related to density restrictions and cannibalistic behaviors with a stage-structured model of the crab ecosystem, and also to endogenize the parameter of baby crabs' survival that is caused by water quality improvement and income increase. Through these extensions and relaxations, the authors are able to argue about the strategic decision of the optimal rates additional considerations as well as the properties of the integrated system that was not covered in the previous paper.

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Economic Damage Assessment of Coastal Development using Dynamic Bioeconomic Model

  • Kim, Tae-Goun
    • 한국항해항만학회지
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    • 제36권9호
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    • pp.741-751
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    • 2012
  • This article analyzes the interdependency between nonrenewable marine sand resources and renewable fishery resources by the developed dynamic bioeconomic model. The developed bioeconomic model is applied to a case study of efficient sustainable management for marine sand mining, which adversely affects a valuable blue crab fishery and its habitat in Korea. The socially-efficient extraction plan for marine sand and the time-variant environmental external costs to society in terms of diminished harvest rate of blue crab are determined. To take into account long-term effects from destroyed fishery habitat, a Beverton-Holt age structure model is integrated into the bioeconomic model. The illustrative results reveal that the efficient sand extraction plan is dynamically constrained by the stock size of the blue crab fishery over time. Thus, the dynamic environmental external cost is more realistic resource policy option than the classical fixed external cost for determining socially optimal extraction plans. Additionally, the economic value of bottom habitat, which supports the on- and off-site commercial blue crab fishery is estimated. The empirical results are interpreted with emphasis on guidelines for management policy for marine sand mining.

근해저인망류어업에 있어서 업종별 경합관계 형성에 관한 사적고찰 (A Historical Consideration on the Evolution of Competition in Offshore Fisheries)

  • 김병호
    • 수산경영론집
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    • 제35권1호
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    • pp.23-56
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    • 2004
  • The offshore trawl fishery is seeking its survival way to overcome current management conditions in red, resulted from the bilateral agreement with China and Japan. However, this movement magnifies conflicts between fisheries on the contrary and it is thought to be impossible to get over current situations. For all that, this study is aimed at investigating how this current situations have occurred. The management freedom as response to the change in fishing conditions of a certain fishery, in case of Korea, is affected by institutional regulations. The example of this is controls on fishing gears, fishing vessels, and fishing grounds. The most exposure of this control is a segmentation of institutional fisheries. The initial segmentation of the offshore trawl fishery in Korea was occurred in the period of Japan's colonization when the degree of use of fishing grounds was limited geographically. At that time, fisheries were divided by fishing areas, but it did not divide the fishery itself. The large - sized fishing vessels were developed politically to be more competative to Japanese fishing vessels since 1950s. During this time, the trawl fishery was merged into current Eastern trawl fishery and South - Western trawl fishery. It was also inevitable to divide into the pair trawl and single trawl fishery as a result of the physical mergency between Western trawl and Southern trawl fishery. In order to develop the trawl fishery, new licenses were issued on the shrimp trawl fishery, through which it was expected to boost the trawl fishery. As opposed, the shrimp trawl fishery was changed into the mid - sized trawl fishery, targeting on the eastern fishing areas and the large - sized trawl fishery was developed since the late of 1970s with the development of filefish processing industry. The large trawl fishery that led in development of offshore trawl fishery since the late of 1950s was started to divide into a pair trawl and single trawl according to the fishing method and capital power. It finally became an institutionally independent fishery in 1980s, respectively. Looking into these historical process, the segmentation of the trawl fishery is thought as a result of the lack of long - term perspective and as a production of trial and error resulted by unprepared policy. As a result, these segmentation of fisheries roles as critical obstacles in harmonization of fisheries and in overcoming of current situations. Therefore, the review of this institutional segmentation of the offshore trawl fishery should be taken for an optimal redistribution of fishing grounds suits with business and fishing technology. For this, the fishery must be divided into large capitalized fishery and small - mid fishery with consideration of capital, fishing method, and the condition of use of fishing grounds. In addition to this, by limiting outline of fishing ground that the large fishery can harvest, it must allow for the small - mid fishery to catch with its own boundary. Furthermore, by launching buyback programs on the trawl, eastern trawl, pair trawl, it can provide broader fishing grounds where the fishery can harvest with management freedom.

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