농업에서 거친 토양 표면은 다양한 문제를 일으킨다. 물, 토양, 씨앗, 비료와 같은 자원을 낭비하여 생산비를 높이고 환경에도 부정적인 영향을 끼친다. 또, 농업 기계는 거친 토양에서 균형을 잡기 어려워 농부들의 편의성을 해치고, 장비의 내구성과 자율 주행 성능을 떨어뜨리는 등 정밀농업의 실현을 방해한다. 거친 토양 표면은 입자가 큰 토양으로 구성되어 있을 가능성이 높으며, 이는 식물 생장을 방해하고 물빠짐에도 영향을 준다. 거친 표토를 측정하는 방식은 농지 전체를 측정하기보단 일부 지점의 거칠기를 측정하여 나머지 지점의 거칠기를 추정하는 것이 다수다. 따라서, 본 연구는 무인비행체(UAV)를 이용해 효율적으로 표토 거칠기를 측정할 수 있는 방안을 제안하고자 한다. 실험은 경상남도 밀양시 부북면에서 40m 높이에서 180장, 86%의 중첩률로 획득한 항공 사진을 이용했다. 이미지 데이터를 바탕으로 만들어진 조밀 점군에서 파이썬으로 중심점으로부터 일정한 반경 이내에 있는 가까운 주변 8개 점을 선택하여 고도차를 이용하여 결과값을 계산하였다. TRI 지수, Roughness 지수, 표준편차 세 가지 지표는 계산 후 농지에 시각화되었다. 일부 지점에서 측정한 표토 거칠기를 바탕으로 나머지 농지에 대한 거칠기 값을 추정하는 방식과 달리, 본 연구는 모든 지점에서의 거칠기 지수를 점군 단계에서 습득할 수 있는 방식을 통해 측정의 정밀도를 높이고 농지 운영을 돕고자 하였다.

Determining the size or area of a plant's leaves is an important factor in predicting plant growth and improving the productivity of indoor farms. In this study, we developed a convolutional neural network (CNN)-based model to accurately predict the length and width of lettuce leaves using photographs of the leaves. A callback function was applied to overcome data limitations and overfitting problems, and K-fold cross-validation was used to improve the generalization ability of the model. In addition, ImageDataGenerator function was used to increase the diversity of training data through data augmentation. To compare model performance, we evaluated pre-trained models such as VGG16, Resnet152, and NASNetMobile. As a result, NASNetMobile showed the highest performance, especially in width prediction, with an R_squared value of 0.9436, and RMSE of 0.5659. In length prediction, the R_squared value was 0.9537, and RMSE of 0.8713. The optimized model adopted the NASNetMobile architecture, the RMSprop optimization tool, the MSE loss functions, and the ELU activation functions. The training time of the model averaged 73 minutes per Epoch, and it took the model an average of 0.29 seconds to process a single lettuce leaf photo. In this study, we developed a CNN-based model to predict the leaf length and leaf width of plants in indoor farms, which is expected to enable rapid and accurate assessment of plant growth status by simply taking images. It is also expected to contribute to increasing the productivity and resource efficiency of farms by taking appropriate agricultural measures such as adjusting nutrient solution in real time.

The purpose of this study was to identify the effects of Pilates and Tai Chi as physical therapy interventions for pain and dysfunction in chronic lumbago patients. A total of 31 females who were at least 20 years old and diagnosed with chronic lumbago were divided into a Pilates group(PG) (n=10), Tai Chi group(TCG)(n=11), and conservative group(CG)(n=10), to measure their pain and dysfunction before and after a six week intervention. With regard to the changes in the lumbago consciousness scale before and after the six-week intervention, all three groups showed statistical significance(p<.05). The intergroup differences were significant between the PG and CG and between the TCG and CG. All three groups also showed statistical significance(p<.05) in the Oswestry Disability Index before and after the six-week intervention. Again, the intergroup differences were significant between the PG and CG and between the TCG and CG. Based on these results, the application of Pilates and Tai Chi with conservative treatment may be effective in reducing pain and improving dysfunction in chronic lumbago patients.

A 40-year-old G1 P0 L0 A1 woman was referred to our clinic with 6-year history of infertility. Before visiting the clinic, she had 3 cycles of In-Vitro Fertilization (IVF) procedures (2 cycles of Controlled Ovarian Stimulation-IVF and 1 cycle of frozen-thawed Embryo Transfer (ET)) at other clinic. She had medical history of abortion at early gestation following FET (frozen-thawed-ET). The patient had complete type of septate uterus, double cervix and longitudinal vaginal septum. Vaginal septotomy was done first and 1 month later, hysteroscopic septoplasty was followed using ballooning filled with dye. After septoplasty, we inserted ballooning and left for several days to compress septal endometrium on the septectomy area. All procedures were done in the ambulatory operating room without laparoscopy or admission. 3 months later, she had in vitro fertilization-embryo transfer (IVF-ET) and FET procedures in our clinic. She had successful pregnancy and now is at 22 weeks of gestation. New ambulatory septoplasty using dye-filled ballooning is easy, safe and minimally invasive surgery for treatment of complete septate uterus.