We conducted an on-site application study at the livestock cooperative fertilizer plant to compare the composting period, temperature change, moisture content, and chemical properties between livestock manure compost using sawdust as a moisture regulator with those using spent oyster mushroom substrate. The composting period, moisture content, and fertilizer composition of compost containing spent oyster mushroom substrate did not differ from that of conventional compost mixed with sawdust after the first and second fermentation and post-maturation stages, it was suitable as a material for manufacturing livestock manure compost. The spent oyster mushroom substrate also lower the production cost of livestock manure compost by replacing the more expensive sawdust. The developed technology is expected to contribute towards the utilization of by-products of the oyster mushroom harvest while simultaneously producing high quality livestock manure compost.
본 연구는 수출용 큰느타리버섯의 선도 유지 및 저장성 증대를 위한 배지 적합 질소함량과 생육온도 조건을 설정 하고자 하였다. 배지 질소함량 1.5%, 1.8%, 2.1%, 2.4% 및 생육온도 15 ̊C, 12 ̊C, 9 ̊C 조건별로 자실체의 생육특성, 수확 후 냉장저장기간 동안의 가스농도, 자실체 품질 변화를 조사하였다. 대직경과 중량은 생육온도와 관계없이 질소함량이 높아질수록 증가하는 경향을 보였으며 병 당 중량은 12 o C, T-N 2.4% 조건에서 149.5 g으로 가장 높았다. 갓 색은 배지 질소함량과 관계없이 온도가 낮아 질수록 색도(L)가 낮아져 갓 색이 진해졌다. 저장기간에 따른 봉지 내 가스농도 변화는 9 ̊C, T-N 2.1% 조건에서 산도 농도가 가장 오래 유지되었다. 달관조사에 의한 자실체 품질평가에서 배지 질소함량에 따른 차이는 나타나지 않았고 저장기간 28일까지 이취, 변색, 부패 정도는 15 ̊C와 9 ̊C가 유사하게 나타났다.
본 연구에서는 가축분퇴비에 존재할 수 있는 식중독균 의 검출을 위하여 기존의 배양을 이용한 방법을 대체할 수 있는 real-time PCR을 적용하고자 하였으며, 이에 따라 유전자 증폭에 영향을 미치는 DNA 추출 방법에 따른 식중독균 검출 효율을 비교하였다. 적용한 방법은 가열 처리, 유기용매 및 흡착제 처리, 효소 처리의 3가지로 구분 할 수 있으며, 각 방법에 따른 DNA의 검출 효율을 실험 결과로 나타내었다. 가열 처리 방법에서는 가열 시간의 증가에 따라 DNA 검출 효율이 높아지는 경향을 나타냈으며, 유기용매 및 흡착제는 효과를 나타내지 않았고, 효소 처리의 경우에는 그람 양성균 보다는 그람 음성균의 DNA가 추출 효율이 더 높은 것으로 나타났다. 결론적으로 퇴비에서 30분 이상의 가열 처리와 효소의 처리를 통한 DNA 추출 방법은 real-time PCR을 적용한 식중독균 검출에 적합한 것으로 판단된다.
Obstacle avoidance is one of the most important parts of autonomous mobile robot. In this study, we proposed safe and efficient local path planning of robot for obstacle avoidance. The proposed method detects and tracks obstacles using the 3D depth information of an RGB-D sensor for path prediction. Based on the tracked information of obstacles, the paths of the obstacles are predicted with probability circle-based spatial search (PCSS) method and Gaussian modeling is performed to reduce uncertainty and to create the cost function of caution. The possibility of collision with the robot is considered through the predicted path of the obstacles, and a local path is generated. This enables safe and efficient navigation of the robot. The results in various experiments show that the proposed method enables robots to navigate safely and effectively.
The purpose of this study is to present the results as basic data for establishing proper storage conditions and distribution conditions of actual farms at point of increasing concern about hygiene and palatabiltiy of consumers to food. In this study, three farmhouses of dried persimmons prepared using different storage conditions were selected in Sangju (Korea). The dried persimmons were stored for 90 days. Changes in temperature and humidity were measured with a temperature and humidity recorder under each storage condition, and physicochemical analysis and sensory evaluation were performed. The average temperatures of farmhouse A, B and C were approximately -22--23℃, -19--18℃ and -25℃ respectively. The humidities of A, B and C were 62-63%, 59-60%, and 66-67%, respectively, and the moisture contents of all farmhouses increased during the storage period, with farmhouse B showing the most rapid increase. Free sugars increased, except for those from farmhouse C. Persimmons from farmhouse B showed the greatest changes in chewiness and hardness. The values of a* and b* were significantly decreased in persimmons from farmhouse B, and the color difference value of farmhouse B was dramatically increased. Sensory evaluation showed that the color preference tended to decrease compared with the initial value. Only farmhouse B showed decreased overall acceptability. Moreover, farmhouse B had the highest storage temperature and lowest humidity. Therefore, our results showed that storage at a low temperature and high humidity was important for manufacturing high-quality dried persimmons.