• 한국자원식물학회지
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• 제12권3호
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• pp.204-208
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• 1999

백하수오 재배시 지주설치 비용 절감 및 생력 재배기술 확립 목적으로 자소 등 6작물을 지주작물로 공시하여 시험을 수행한 결과를 요약하면 다음과 같다. 1. 지주작물의 주당 분지수는 율무 7개, 자소 19개로 백하수오 덩굴유인에 유리한 조건으로 작용하여 자소 97%, 율무 100%의 덩굴유인율을 보였다. 2. 백하수오의 지상부 생육은 자소, 수수재배에서 네트지주재배보다 만장이 길었고, 주당 분지수는 네트지주재배 6개에 비하여 자소, 율무, 수수 재배에서 1~2개 많았다. m$^2$당 엽중은 네트지주 재배시 1,001g으로 가장 많았고, 지주작물재배에서는 자소, 율무, 수수에서 614~636g이었다. 3. 백하수오의 지하부 생육은 땅콩, 자소재배에서 근장이 길었고, 지근수는 네트지주재배 8개에 비하여 땅콩, 자소재배 4개, 율무재배에서 6개였다. 4. 10a당 백하수오의 생근수량은 네트지주재배에서 919kg으로 가장 높았고, 지주작물재배간에는 자소 717kg, 율무 656kg, 수수 652kg으로 네트지주재배에 비하여 22~29% 감수되었다. 5. 백하수오 수량은 감수하나 지주설치 비용 절감 및 지주작물의 수확으로, 자소, 율무, 수수를 이용한 백하수오 생력재배가 가능하였다.

• 한국산학기술학회논문지
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• 제15권10호
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• pp.5945-5949
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• 2014

농촌의 고령화로 인한 일손이 감소되고 있다. 반면 노인들의 일은 늘어나고 있다. 또한 농부들은 대량생산을 목표로 하는 사람들이 늘어나고 있다. 그리고 일 효율의 문제에 있어서도 보완하기 위해 농작물을 보호하는 지지대와 집게에 대한 연구를 하려고 한다. 지지대의 강도는 바람의 세기보다 강하여 파손의 우려는 없지만 집게가 식물을 잡을 만큼의 힘을 가지고 있지 않아서 형상설계 문제로 접근 하였다. 실제 지지대와 집게에 걸리는 하중을 구하고 시뮬레이션 값과 비교하여 시뮬레이션의 정확도를 확인한다. 시뮬레이션의 신뢰성을 토대로 더 큰 힘을 버틸 수 있는 모델과 크기를 선택한다. 본 논문의 연구결과를 통해 0.1N에서 0.6N의 작용력이 작용하여도 1.29N의 작용력까지 버틸 수 있는 농작물 지지대를 설계하여 농작물 고정용 집게에 걸어 고정하게 됨으로 작업시간의 단축과 작물의 생육과 작물의 재해를 방지 및 예방, 도움이 될 것이라 판단된다.

• Agribusiness and Information Management
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• 제10권2호
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• pp.8-17
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• 2018

Due to changes in the agricultural market environment and both overseas and domestic farming conditions, uncertainties in agricultural production and management are becoming greater. Hence, there is a stronger need for farmers to choose crops in the optimal condition. This research aims to introduce the result and process of developing a decision support system for selecting crops, aimed to assist farmers in selecting the optimal crops most suitable in the given situation. There are basically three main factors to consider in the decision-making process for farmers when selecting a crop to introduce to their lands. First of all, one must consider how much profit crop A will produce when it is cultivated. Secondly, one must consider which crop to cultivate in order to earn a certain amount of profit. Thirdly, one must consider what is the best way to maximize Farm A's business profit. For instance, a farm may have land as its resource, and one must research which location, type of crop, level of technology, and so forth, to maximize profit.This research creates a database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

• 한국기계가공학회지
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• 제14권4호
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• pp.28-33
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• 2015

In this study, the optimal design for the support and the binding device for the protection of crops for the maximum allowable stress of the shape necessary to minimize volume has been proposed. Optimization of the support and the binding device for the crops should be designed to support businesses in terms of profit, in part to reduce the material, and to profit from the ease and speed of working that part of the farmers. We used CATIA for the mechanical design and the ANSYS program for the structural analysis. Additionally, the optimization was performed by PIAnO with seven design variables for the binding device and three parameters for the support. The weight method using a multi-objective function was also determined by the Pareto optimal solution. The volume of the binding device in the optimum design result was found to be reduced by 16%, from $2.278e-005m^3to1.912e-005m^3$. From the result, we confirmed the effectiveness of the design method proposed as a multi-objective function optimization problem.

• 농업과학연구
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• 제47권3호
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• pp.533-544
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• 2020

In this paper, we conducted a dynamic ex-post assessment on the grape business cessation support System. Based on the analysis results, in the short term, there was an increase in grape price due to a decrease in production and accompanying increases in the prices of consumption substitution items. However, in the long run, grape prices fell again due to an increase in grape production because of the entry of new grape farmers and the growth of adult grape trees. In addition, the analysis showed that the balloon effect caused by the conversion of crops caused indirect damage such as an increase in the production volume of substitution crops and a decrease in prices. When analyzing the social welfare measurement, the results showed that the support system for business cessation increased the overall social welfare due to an increase in producer welfare because of a price increase in the short term, but in the long term, both producer and consumer welfare decreased. In the end, it is necessary to review the system because the government's intervention may cause market distortion and inefficient resource allocation. Above all, it is necessary to minimize the indirect effect of the industry's contraction and balloon effect due to excessive business cessation. For this, conditional support should be provided in parallel with post management rather than unconditional support. In addition, it is necessary to provide a strategic support system that considers substitution items in addition to those items to be supported.

• 산업경영시스템학회지
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• 제45권4호
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• pp.180-186
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• 2022

Agrophotovoltaic (APV) system is an integrated system producing crops as well as solar energy. Because crop production underneath Photovoltaic (PV) modules requires delicate management of crops, smart farming equipment such as real-time remote monitoring sensors (e.g., soil moisture sensors) and micro-climate monitoring sensors (e.g., thermometers and irradiance sensors) is installed in the APV system. This study aims at introducing a decision support system (DSS) for smart farming in an APV system. The proposed DSS is devised to provide a mobile application service, satellite image processing, real-time data monitoring, and performance estimation. Particularly, the real-time monitoring data is used as an input of the DSS system for performance estimation of an APV system in terms of production yields of crops and monetary benefit so that a data-driven function is implemented in the proposed system. The proposed DSS is validated with field data collected from an actual APV system at the Jeollanamdo Agricultural Research and Extension Services in South Korea. As a result, farmers and engineers enable to efficiently produce solar energy without causing harmful impact on regular crop production underneath PV modules. In addition, the proposed system will contribute to enhancement of the smart farming technology in the field of agriculture.

• 농촌계획
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• 제28권1호
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• pp.57-69
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• 2022

Crop classification is very important for estimating crop yield and figuring out accurate cultivation area. The purpose of this study is to classify crops harvested in fall in Idam-ri, Goesan-gun, Chungcheongbuk-do by using unmanned aerial vehicle (UAV) images and support vector machine (SVM) model. The study proceeded in the order of image acquisition, variable extraction, model building, and evaluation. First, RGB and multispectral image were acquired on September 13, 2021. Independent variables which were applied to Farm-Map, consisted gray level co-occurrence matrix (GLCM)-based texture characteristics by using RGB images, and multispectral reflectance data. The crop classification model was built using texture characteristics and reflectance data, and finally, accuracy evaluation was performed using the error matrix. As a result of the study, the classification model consisted of four types to compare the classification accuracy according to the combination of independent variables. The result of four types of model analysis, recursive feature elimination (RFE) model showed the highest accuracy with an overall accuracy (OA) of 88.64%, Kappa coefficient of 0.84. UAV-based RGB and multispectral images effectively classified cabbage, rice and soybean when the SVM model was applied. The results of this study provided capacity usefully in classifying crops using single-period images. These technologies are expected to improve the accuracy and efficiency of crop cultivation area surveys by supplementing additional data learning, and to provide basic data for estimating crop yields.

• 농촌계획
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• 제16권3호
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• pp.19-26
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• 2010

The purpose of this paper is to evaluate optimum rate of payment and to [md the new advanced direction for the program for rural landscape conservation. We used direct evaluation method for income and production costs. According to the survey, we had done from 41 complexes(farmers) joined this program, the average production cost of landscape crops of type1 is calculated at 178,582 won per 10a and 111,517 won as type2. If the classification of crop type is adjusted, the problem formulated is improved to make possible support at the current payment rate.

• 한국농공학회논문집
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• 제64권3호
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• pp.1-8
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• 2022

In this study, a farm map utilization strategy for sustainable agricultural environmental resource management was derived. In addition, it is intended to present an efficient method of providing farm map-related services. As a result of the demand survey, the additional information required for the farm map includes 29% of information on crops grown on farmland, 21% of management-related information such as the owner or business entity, 17% of topographical information including slope, 15% of agricultural water information, 17% of land status information, and the addition of functions. 2% was investigated. As a result of intensive interview survey, it was found that it can be used for information on crops cultivated by agricultural businesses, actual cultivated area by township, arable land consolidation division boundary, and management of agricultural promotion zones. The farm map can be used as basic data to efficiently manage agricultural environmental resources. Since the status of support for individual farms or lots, such as soil improvement agent support and organic fertilizer support, may belong to personal information, it can be processed and provided in units required by administration or policies, such as administrative boundaries, subwatersheds, and watersheds. It can serve as a basis for executing the direct payment currently supported only by individual farms, even in a community unit that manages environmental direct payments.

• 한국자원식물학회지
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• 제32권1호
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• pp.45-52
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• 2019

기후변화 적응과정에서 도입 작물의 국내 재배실태를 조사하고 대응과제를 도출코져본 연구를 수행하였으며, 그 결과는 다음과 같다. 도입 열대 아열대 채소 재배현황(2015년 기준)은 18작목으로 재배농가수는 920농가, 재배면적은 321 ha로 조사 추정되었고, 재배면적이 많았던 작물은 울금, 여주, 아스파라거스, 삼채, 허브류 순이었다. 도입 열대 아열대 과수류 재배 현황은 2015년 국내재배 농가수와 재배면적은 264농가 106.5 ha로 추정되며, 전년대비 각각 51.7%와 83.7% 증가하였다. 도입 특약용작물 재배현황(2015년 기준)은 10작물로 753농가에서 재배면적 276.3 ha로 조사 되었으며 재배면적이 많았던 작물은 강황, 감초, 마카, 모링가, 포포나무 순이었다. 도입 열대 아열대 작물의 국내 재배가 안정적으로 정착되기 위해서는 국내 재배적응성 검정에 의거 재배환경면에서의 안전성과 경제성이 있어야 하며, 생산물의 이용과 유통 및 판로의 확보 문제, 외국현지 수입산과의 경쟁력 등을 고려할 필요가 있고, 국가 간 이동에 따른 생물다양성협약 등 국제협약 및 국내 종자산업법에 의하여 도입되어야 할 것이다.