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        검색결과 2

        1.
        2023.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        This study aimed to analyze the effects of REDD+ activities such as education, cookstove incentives and Community Forestry (CF) membership on poverty alleviation through the mediating effects of social capital, including network, trust, cooperation and social inclusion. We collected data through a field survey from randomly selected 335 households in the REDD+ pilot sites, including Kyauktaga and Minhla townships in Bago Province, Myanmar. The relationship between variables was analyzed using Structural Equation Model (SEM). The results showed that social capital has significant impact on poverty reduction. Specifically, social inclusion showed a direct impact on poverty reduction. While REDD+ activities such as education and CF membership had impacts on income generation, the impacts were insufficient to realize poverty alleviation. Forest dependents are relatively poor, which implies that forest activities are limited in achieving poverty alleviation through income level improvement. We found that the intervention of the REDD+ program on local communities may contribute to the accumulation of social capital, thereby reducing poverty.
        4,000원
        2.
        2017.10 구독 인증기관·개인회원 무료
        This study was carried out to develop the technology to manage the growth management of mushroom which was cultivated by long-term knowledge based on the quantified data. In this study, it was developed hardware to monitor and control the growth environment of mushroom cultivation house and an algorithm to automatically grow mushroom. Environmental management for the growth of mushrooms was made possible by cultivation sites, computers and smart phones. In order to manage the environment of mushroom cultivation house, environmental management data of farmers cultivating the highest quality mushrooms in Korea was collected, and a growth management database was created based on the collected data. The management environment for the mushroom cultivation was controlled at ±0.5 °C for temperature, 7 % for upper limit and 3 % for lower limit for relative humidity, and ±10% level for carbon dioxide concentration based on database value. As a result of cultivating mushrooms in such an environment, it was possible to produce mushrooms at almost the same level as those cultivated in farms with the best technology. Therefore, it was considered that the environmental management of the mushroom house managed by the technology based on the long experience could be managed based on the sensor data.