The purpose of this study is to suggest structural model and analyze design factors for the development of small greenhouse standardization model. The average dimensions of small greenhouse desired by urban farmers were 3.3m in width, 1.9m in eaves height, 2.7m in ridge height, 5.7m in length. The cladding materials for small greenhouse were preferred to glass, PC board and plastic film, framework to aluminum alloy and steel, and heating method in electrical energy. In addition, it was analyzed that small greenhouses need to develop structural model by dividing them into entry-level type and high-level type. The roof type that was used for entry-level type was arch shape, framework was steel pipe, cladding material was plastic film. On the other hand, high-level type was used in even span or dutch light type, framework with square hollow steel, cladding materials with glass or PC board. In consideration of these findings and practicality, this study developed four types of small greenhouses. The width, eaves height, ridges height, and length of the small greenhouses of even span type, which were covered with 5mm thick glass and 6mm thick PC board were 3m, 2.2m, 2.9m, and 6m, respectively. The small greenhouse of dutch light type covered with 5mm thick glass was designed with 3.8m in with, 2.2m in eaves height, 2.9m in ridges height, and 6m in length. The width, eaves height, ridges height, and length of the arch shape small greenhouse covered with a 0.15mm PO film were 3m, 1.5m, 2.8m, and 6m, respectively.

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.

본 연구에서는 정밀농업 구현을 위해 필수적인 요소인 토양과 기후 그리고 위치요인을 데이터로 구축한 후 이를 수치화하여 최고점수제를 이용하는 지식기반형 작물추천모델을 개발하였다. 작물추천시스템에서 사용한 요인은 토양과 기후 그리고 위치정보이다. 토양의 경우에는 흙토람 자료 중 작물적지 선정에 80%이상 활용되는 토성, 침식등급, 배수등급, 경사, 자갈함량, pH를 선정하였다. 기후요인은 기상청의 5년간 누적데이터를 기초로 하여 작물생육에 필수적인 기온과 강수량 그리고일조시간 등을 사용하였다. 위치정보는 한국토지정보시스템과 수치지형도를 가공하여 사용하였다. 예시작물은 농촌진흥청에서 추천한 옥수수, 유채, 갈대, 수박, 고추, 토마토, 양파, 감자, 고구마, 구기자 10개 작물로 하였으며, 향후 작물추천 수요가증가할 것으로 예상되는 제천, 무안, 원주, 함안 4개 지역을 포괄적으로 시뮬레이션하였다. 분석결과 평균점수는 고추가 75.5점으로 가장 높았으며 고구마가 61.2점으로 가장 낮았다. 작물별 식재면적에 제약이 있다고 가정하고 2차 시뮬레이션을실시하여 경남 함안시의 7만 필지를 별도설정하고 분석한 결과 고구마가 39,190필지에서 가장 높은 점수를 받았으며 면적으로는 27.014 km2이었다. 지식기반형 작물추천시스템은 작물의 적지를 선정하는 항목과 가중치가 검증되지 않았다는 한계를 가지고 있으나, 이에 대한 보완이 이루어지고, 농산물유통부분을 고려하여 실제 정보수요자에게 제공하면 영농현장에서 활용 가능할 것으로 판단한다.

The purpose of this study was to examine the intention of consumer acceptance of technology in agricultural production by applying the unified theory of acceptance and use of technology (UTAUT) to smart farm. In particular, this study analyzed the intention to accept the technology of agricultural students, farmers, start-up farmers, returning farmers, and returnees in the general manufacturing industry and high-tech industries, and in agricultural sectors corresponding to primary industries. The results showed that performance expectancy, social influence, facilitating conditions, IT development level, and reliability had a significant influence on the intention to use smart farm technology. However, effort expectancy and price value were rejected because no significant impact on use intention was tested. In addition, the influences of the variables showing their influence were reliability (β=.569) > IT development level (β=.252) > social influence (β=.235) > performance expectancy (β=.182) > facilitating conditions (β=.134).

This study was in line with consecutive growth of urban agriculture implemented to provide a functional vegetable garden model for urban vegetable gardeners. It targeted the users who actually raise functional vegetable gardens, analyzed the flaws for correction in many ways including a type of products, quantity, ratio, and the like and existing problems. It is found out from Utilization that first is the highest ranking with no experience of growing vegetable garden education while growth education helping vegetable garden activity takes the half. Saying yes to the participation in the growth education following the process ranked the highest. In addition when planting, in regards to earning information about plantation timing and measure, they responded that they directly determine those by themselves. Second, the type of plant that they are mainly supposed to produce in family gardening was vegetables. Many say that it is easy to produce, easy to get information. In the fall, Kimchi and vegetables ranked the highest, the reason for functional vegetable gardeners to participate in planting family garden is an interest in a variety of producing crops. Third, the current amount included is proper for flower･herb plants in functional vegetable garden model while the ratio of crops vegetables60.5 : medical21.2 : flower･herbs18.3 in vegetable garden model is responded moderate.

The main purpose of the research is to suggest a new business model of direct distribution of organic agricultural products cultivated in suburban area. To secure competitiveness, logistics cost reduction is important through direct transaction of organic agricultural products cultivated on suburban area. The research addresses food safety, farmers' income and unemployment issues with Eco-M business model. The research methods include investigation on the followings: current domestic agriculture; related problems on the existing literature reviews; the current status of suburban agriculture; specialty store of eco-friendly agricultural products. Eco-M business model can solve various problems of suburban agriculture supply system, challenges of organic farming specialty stores, unemployment issues, and difficulties of processing verticalization. Future research should include followings. First, there should be comparative analysis between businesses of environmentfriendly specialty stores through suburban agriculture and producer's agriculture connected with organic farming market. Second, it is required to develop strategy of environment-friendly specialty stores. Finally, analysis of the potential of Sextic industries is necessary throughout production-process-service process.

The green craze has hit all the world lately. The green revolution which means immense changes for sustainable development under the new environment-economy system is foretelling that we should have new angle to the environment and economy. This paper is about the development of the model and indicators for construction of ECO(Energy Circulating Organic)-Village which is the green growth option of local community. This model is composed of three concepts - SPDC (about procedural methodology of Model), Virtuous Circle (about functional relationships of three requisites), Network (about spatial relationships between communities) - and evaluation indicators. Environment, tourism, industry (Energy & Organic Agriculture) are set as the three requisites for green growth of local community. Nations of the world plunge into the green war which is silent, general, sweeping changes. We can not win this war with the existing thinking system and policy. We need revolutionary changes reconsidering of environmental value and sustainable development strategy of the region. Each of us should go through the changes and this work would be the one among those efforts.