팽이버섯 내에 존재하는 GAD 효소를 발효를 통해 활 성화 시켜 MSG를 GABA로의 전환율을 높이고자 하였다. 효과적인 고농도 GABA를 생산하기 위해 나노분말 팽이 버섯에다가 수경재배한 인삼을 첨가하여 야쿠르트발효기 에서 발효한 결과 GABA 전환율은 팽이나노인삼분말 발 효군(88%) > 팽이분말 발효군(52%) > 팽이나노분말 발 효군(44%) 순으로 나타났다. 이러한 결과는 MSG를 기질 로 첨가하는 식품에서 활용할 가치가 있으리라 사료된다.

큰느타리버섯의 아미노산을 함량을 분석하고, 70% 메 탄올, 95% 발효주정, 물 추출물의 항산화 활성을 측정하 였다. 아미노산 17종류 분석결과 필수아미노산에서는 체 내 단백질을 구성하는 Phe의 함량이 가장 높았고, 비필수 아미노산에서는 감칠맛을 내는 Glu가 가장 높은 함량을 보였다. DPPH 라디칼 소거능에서는 ASI 2887이 70% 메 탄올, 95% 발효주정, 열수 추출용매별로 34.37±1.19, 34.66±5.46, 40.97±1.65 mg/g으로 소거능을 보였고, 아질 산염 소거능 역시 열수추출물이 다른 추출물보다 소거능 이 높았으며 ASI 2820이 70% 메탄올, 95% 발효주정, 열수 추출물에서 각각 21.45±2.73, 33.32±1.06, 33.31±2.65 mg/g으로 추출용매에 상관없이 높은 아질산염 소거능을 보였다. 폴리페놀 함량도 열수 추출물에서 가장 높은 함 량을 보였고 가장 높은 함량을 보인 것은 ASI 2887로 DPPH 라디칼 소거능과 유사한 관계를 보이는 것을 확인 하였다. 큰느타리버섯은 아미노산과 생리활성 물질의 다 량 함유하고 있어 기능성 식품 및 건강식품으로서의 활용 이 기대된다.

This study was carried out with the goal of improving accessibility for farmers in record management. The pre-survey for farm records found that the main reasons for lack of records were “no need” and “no time” to keep such records. Based on the results of the pre-survey of smartphone-based farm recordkeeping, the major composition articles were management books, daily work logs, analysis books and additional books compiled by setting log in, notice and suggestions. The number of smartphone- based farm record books was 4,430 nationwide. We also updated farms keeping records on seven occasions for user convenience. Regional differences in the utilization ratio of record books showed that continuous promotion and education aimed at users were key points of success for farm recordkeeping books.

Recently, food delivery apps are seeing rapid growth into a market worth 1 trillion won under a simple but unique business model of connecting nearby restaurants with consumers via smartphone. Though basic similarities with social commerce exists in aspects such as mail-order sales intermediaries, startups, types of services and market competition structure, food delivery apps resemble social commerce in many ways in that they use excessive marketing to secure market dominance, causing a spike in consumer complaints. If the excessive marketing and increase in customer complaints are not rectified, the food delivery app could also see rapid decline as it gradually grows distant from consumers, just like social commerce. Accordingly, this study will identify the factors consumers recognize as important for continuous use vis-a-vis social commerce and food delivery apps to perform an empirical analysis on what areas need improvement. After deriving the four upper factors of product, information system and service along with eight sub-factors by referring to existing literature, the areas with opportunity for improvement were derived through satisfaction level and relative importance evaluation. The results of this study present a strategic direction for maintaining customers of social commerce and food delivery apps.

Since 2000s, proper utilization of IoT (Internet of Things) technology is a key factor for a firm to become more competitive, and this stream is not exceptional for the food and agriculture industry. Along with this stream, Korea government organization, for example MAFRA (Ministry of Agriculture, Food and Rural Affairs), elected to adopt IoT technology, such as USN and RFID technologies, in the food and agriculture industry. Based on the IoT technology, MAFARA launched six “IoT based farm” project in 2007. IoT based farm project includes IoT based greenhouse system project, and it shows drastic efficiency in terms of cost reduction. When it comes to the productivity, however, the effect of IoT based greenhouse system is still ambiguous. In this regard, this study conducted systems analysis and design for IoT based tomato greenhouse in order to help farmers’ decision making related to the productivity by establishing standardized database structure and designing output form to analyze productivity indices. Proposed systems analysis and design can be utilized as a data analysis tools by farmers. Productivity data from the proposed systems is can be used by researchers to identify the relationship among environment, plant growth and productivity. Policy makers also can refer to the data and output forms to predict the quantity of fruit during certain period and to revise production guideline more precisely.