한국의 곤충 산업은 2010 년부터 ｢곤충 산업 육성 및 지원에 관한 법률｣에 의해 지원을 받았다. 이 법에 의거해 곤충을 사육하는 사람도 ‘농업인’으로 자격이 있다. 그러나 곤충 산업은 ‘농업’ 및 ‘농업인’, ‘농산물’과 같은 모든 개념을 정의하는 ｢농업 ․ 농촌 및 식품산업 기본법｣에 포함되지 않는다. 법적으로 엄격하게 말하면, 곤충 산업이 농업에 포함되지 않는다는 논쟁이 제기 될 때마다 곤충 산업을 지지할 방법이 없기 때문에 곤충을 사육하는 사람들은 모든 농업 지원과 정부의 보조금을 받을 법적 근거가 부족하다. 따라서 관련 법규를 개정하여 곤충 산업의 법적 지위를 명확히 할 필요가 있다.

본 연구는 국내외 여건으로 침체되고 국내 인삼산업 활성화에 필요한 인삼가공식품의 경쟁력 제고를 위하여 대표 인삼제품인 홍삼토닉의 소비자 선호속성을 선택실험법을 통해 분석하였다. 실험에 사용된 선호속성으로는 재배연근, 우수농산물(GAP) 인증 여부, 당류함량, 가격이 포함되었으며 총 1,796개의 실험에 대한 답변을 취득하여 각 속성에 대한 가치를 다항로짓모형을 이용하여 추정하였다. 그 결과, 6 년근 원료를 사용하여 우수농산물(GAP) 인증을 받은 저당도 제품에 대한 선호도를 화폐가치로 환산하였다. 이를 정리하면, 5년근 대비 6년근 원료를 사용한 제품에 약 94,000원, GAP 인증을 받지 않은 경우에 비해서 약 89,000원, 당을 1g 줄인 경우 약 5,000의 추가지불의사금액을 확인할 수 있었다. 따 라서 단기적으로 GAP 인증된 6년근 원료를 사용한 저당의 제품 개발이 필요하며, 인삼 GAP 인증에 대한 지원과 홍보가 필요할 것으로 보인다. 한편 인삼 농가 생산성 개선을 위해 저년근 인삼 효능에 대한 과도한 저평가를 개선하기 위한 장기적인 노력이 병행되어야 할 것으로 보인다.

김치가 세계 5대 건강식품으로 선정되어 세계인의 주목을 받게 되면서 갓의 수요도 점점 증가하고 있어 다양한 갓품종의 육성이 절실히 요구되는 실정이다. 그러나 아직 품종보급 체계가 미흡하여 자가 채종에 의한 자식약세현상, 순도저하, 상품의 불균일 등의 문제점이 발생하고 있다. 본 실험에서는 갓의 F1 품종 육성체제를 갖추기 위하여 유전자원으로 수집한 갓의 순계분리와 자식계통의 육성, 웅성불 임인자의 도입을 통하여 고품질의 갓을 육성하기 위하여 각 조합을 공시하여 조합능력을 검정하고(인도자사이×고흥담양)조합과 (분리 MS 유기계-MS910×일본 적자색갓 8×강화갓 9) 분리계 조합이 우수하다고 판단되어 양친으로 선발하였다. PCR(Polymerase Chain Reaction)과 염기서열 분석을 통해 CMS type을 확인해 본 결과, MS계통 MSLS와 MSLC는 갓에서 보고된 orf263, orf220 및 orf288 CMS 유전자를 미토콘드리아 DNA에 포함하고 있는 것으로 나타났다. 최종적으로 생산력검정 및 농가 실증시험을 실시하였다.

This study aims to confirm the appropriateness of fruit and vegetable sales at military commissaries, with the purpose of enhancing the physical health and morale of military personnel. In order to achieve this objective, we examined the actual conditions of fruit and vegetable sales at military commissaries and analyzed the soldiers’ awareness of fruit and vegetable sales through questionnaire surveys. The conclusions of this study are as follows: Firstly, fresh fruits and vegetables were not sold at military commissaries. Secondly, soldiers acknowledged the need for the consumption of fruits and vegetables and strongly expressed the desire for these fresh food products to be sold at military commissaries. Although the ROK Navy privatized military commissaries for the purposes of increasing management efficiency of national defense and strengthening combat power by transferring PX salesclerk soldiers to join combat personnel, this effort produced a negative effect of price increase. The following are proposals for improving this condition: fruit and vegetable products should be introduced to military commissaries through military welfare funds; fresh food markets should be established by closely cooperating with the local community’s agricultural producers; processed fruit and vegetable product (dry, frozen, airtight packaged, etc.) sales should be increased; and the privatization of the navy commissaries should be abolished.

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.

In the present day context of changing information needs of the farmers and diversified production systems there is an urgent need to look for the effective extension support system for the small and marginal farmers in the developing countries like India. The rapid developments in the collection and analysis of field data by using the spatial technologies like GPS&GIS were made available for the extension functionaries and clientele for the diversified information needs. This article describes the GIS and GPS based decision support system in precision agriculture for the resource poor farmers. Precision farming techniques are employed to increase yield, reduce production costs, and minimize negative impacts to the environment. The parameters those can affect the crop yields, anomalous factors and variations in management practices can be evaluated through this GPS and GIS based applications. The spatial visualisation capabilities of GIS technology interfaced with a relational database provide an effective method for analysing and displaying the impacts of Extension education and outreach projects for small and marginal farmers in precision agriculture. This approach mainly benefits from the emergence and convergence of several technologies, including the Global Positioning System (GPS), geographic information system (GIS), miniaturised computer components, automatic control, in-field and remote sensing, mobile computing, advanced information processing, and telecommunications. The PPP convergence of person (farmer), project (the operational field) and pixel (the digital images related to the field and the crop grown in the field) will better be addressed by this decision support model. So the convergence and emergence of such information will further pave the way for categorisation and grouping of the production systems for the better extension delivery. In a big country like India where the farmers and holdings are many in number and diversified categorically such grouping is inevitable and also economical. With this premise an attempt has been made to develop a precision farming model suitable for the developing countries like India.