• 한국양봉학회지
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• 제33권4호
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• pp.303-306
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• 2018

Drones of honeybee (Apis mellifera) have been regarded as a useful value only when mating with queen bee. However, the drone pupae have been reported to be nutritionally valuable, and a potential beekeeping product. In this study, drone pupae extracted with 5% acetic acid were used to measure anti-thrombosis related fibrinolytic activity using Strup and Mullertz fibrin plate method. As a result, the drone pupae extract showed higher effect of fibrinolytic activity(clear zone diameter 20.83mm) compared to the human plasmin (clear zone diameter 12.93mm) used as a positive control. It was suggested that the extract of drone pupae can be developed as a functional material helping prevention or treatment of various vascular diseases.

• 한국양봉학회지
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• 제34권2호
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• pp.161-167
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• 2019

There is an urgent need for novel protein sources as an alternative to meat production. Insects, such as honeybees, hold potential as a safe, nutritious and reliable protein source for the future. In the present study, we established optimal powder preprocessing conditions of drone pupae (Apis mellifera L.) for use as a novel food. The content of moisture, crude protein, crude fat, crude ash, carbohydrate and crude fiber in drone pupae(Apis mellifera L.) were analyzed. The crude protein content ranged from 48.5 to 51.8% was found in both freeze-dried and hot-air powdered drone pupae. However, the protein content in the freeze-dried powder was higher than that in the hot-air powder by 3.3%. According to the Korean Food Standard Codex test method, coliforms, Salmonella spp. Staphylcoccus aureus, and Enterohamorrhagice Escherichia coli were not detected in both freeze-dried and hot-air powder. Therefore, we suggest that the high protein content of the powdered drone pupae prepared in this study can serve as a novel food.

• 디지털융복합연구
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• 제18권8호
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• pp.151-167
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• 2020

본 연구는 농업드론 서비스의 사용의도에 미치는 영향 요인들을 살펴보고자 하였다. 농업 관련 종사인 324명의 설문결과를 SPSS v22.0 및 PROCESS macro v3.4를 사용하여 분석하였다. 통합기술수용이론에 의한 기술수용요인이 농업드론 서비스의 사용의도에 미치는 영향과 인지된 혜택의 매개효과를 분석하였다. 분석결과, 첫째, 기술수용요인은 인지된 혜택과 농업드론 서비스 사용의도에 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 경제적 혜택은 성과기대를 제외한, 편의적 혜택은 사회적 영향을 제외한 기술수용요인과 농업드론 서비스 사용의도 간을 매개하는 것으로 나타났으나 실용적 혜택은 유의한 매개효과가 나타나지 않았다. 향후 농업 또는 드론 교육을 받은 사람이나 드론 자격소지자를 대상으로 추가 연구가 필요하다고 본다.

• 한국식품위생안전성학회지
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• 제33권5호
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• pp.399-403
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• 2018

본 연구에서는 양봉농가에서 대량 생산이 가능하고 영양이 풍부한 꿀벌 수벌번데기를 새로운 식품원료로 사용하기 위하여 유해 미생물과 곰팡이독소에 대한 안전성 시험을 수행하였다. 검사 시료는 국내 3지역의 양봉농가에서 직접 생산한 수벌번데기를 채취 후 곧바로 냉동 운반하여 동결건조하여 사용하였다. 식품공전 시험법에 따라 대장균군(Coliforms), 살모넬라(Salmonella spp.), 황색포도상구균(Staphylococcus aureus) 및 장출혈성대장균(Enterohemorrhage Escherichia coli)에 대한 검출 여부를 조사한 결과 280개의 벌통에서 채취한 수벌번데기 전부에서 전혀 검출되지 않았다. 또한 곰팡이 독소인 아플라톡신 $B_1$(aflatoxin), 오크라톡신 A (ochratoxin), 데옥시니발레놀(deoxynivalenol) 그리고 제랄레논(zearalenone)이 수벌번데기에서 전혀 검출되지 않았다. 따라서 벌통 내 소비에서 채취하여 곧 바로 냉동보관 한 수벌번데기는 유해 미생물과 곰팡이 독소로부터 안전한 것으로 확인되어 식품원료로 사용이 가능할 것으로 사료된다.

• International Journal of Industrial Entomology and Biomaterials
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• 제13권2호
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• pp.57-61
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• 2006

In this study, morphology of perithecia, asci, ascospores, etc. of C. sphecocephala were examined for its telemorphic characteristics. Its colony grew up to 32 mm in diameter on potato dextrose agar (PDA) for 30 days under the condition of $24{\pm}1^{\circ}C$. PDBLA and PDBAA media were selected as optimal media for C. sphecocephala, on which the growth was 1.5 times as fast as on PDA medium. Moreover, PDBLA medium induced successfully the synnemata of anamorphic state. C. sphecocephala was able to be proliferated in vitro on both larva and adult of honeybee drone as its substrate. After inoculated onto the drone larva, it produced mycelium at $24{\pm}1^{\circ}C$, with the maximum yield up to $67{\pm}3mg$ on the $50^{th}$ day.

• 드라이브 ㆍ 컨트롤
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• 제20권3호
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• pp.25-34
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• 2023

In this study, we conducted a research on optimizing the spraying performance of agricultural drones and predicted the spraying performance in various flight conditions using the multi-layer perceptron (MLP). Data was collected using a test device for pesticide spraying performance according to the water sensitive paper (WSP) evaluation. MLP training involved supervised learning to achieve a coefficient of variation (CV), which indicates the degree of uniform spraying. The performance evaluation was conducted using R-squared (R²), the test samples showed an R² of 0.80. The results of this study showed that drone spraying performance can be predicted under various flight environments. In addition, the correlation analysis between flight conditions and predicted spraying performance will be useful for further research on optimizing the spraying performance of agricultural drones.

• 한국농공학회논문집
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• 제60권6호
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• pp.21-31
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• 2018

The result of examination of diagnostic method, which is composed of a combination of a thermal camera and a drone that visually shows the temperature of the object by detecting the infrared rays, for detecting the leakage of earth dam was driven in this research. The drone infrared thermography method was suggested to precise safety diagnosis through direct comparing the two method results of electrical resistivity survey and thermal image survey. The important advantage of the thermal leakage detection method was the simplicity of the application, the quickness of the results, and the effectiveness of the work in combination with the existing diagnosis method.

• 융합신호처리학회논문지
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• 제22권4호
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• pp.193-198
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• 2021

최근 4차 산업에 대한 관심으로 농업 분야의 벼농사에서 농민의 방제에 대한 요구수준이 증가하고 농업용 방제 드론의 관심과 활용이 증가하고 있다. 따라서 고농도의 농약을 살포하는 농업용 방제 드론 제품의 다양화와 드론 국가자격증 취득으로 인한 방제사의 증가로 인하여 드론 산업 분야에서 농업 분야가 급성장하고 있다. 세부 사업으로 농약 관리, 방제사 관리, 정밀살포, 방제 작업 물량 분류, 정산, 토양관리, 병충해 예찰 및 감시 등으로 방대한 빅데이터를 구축하고 데이터를 처리하기 위한 효과적인 플랫폼을 요구하고 있다. 그러나 데이터 분석알고리즘, 영상 분석 알고리즘, 생육 관리 알고리즘, AI 알고리즘 등 이를 통합하고 빅데이터를 처리하기 위한 모델과 프로그램 개발에 대한 국내외 연구는 미흡한 실정이다. 본 논문에서는 농업 분야에서의 관리자와 농민 요구도를 만족하고 드론을 활용한 농업용 드론방제 프로세서를 기반으로 정밀 AI 방제를 실현화시키기 위하여 온라인 드론 방제 관리 정보 플랫폼을 제안하고 실증 실험을 통하여 종합 관리 시스템 개발의 토대를 제시하였다.

• 대한원격탐사학회지
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• 제40권1호
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• pp.45-56
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• 2024

Faced with aging populations, declining resources, and limited agricultural productivity, rural areas in South Korea require innovative solutions. This study investigated the potential of drone-based vegetation indices (VIs) to analyze soybean growth patterns in open-field smart agriculture in Goesan-gun, Chungbuk Province, South Korea. We monitored multi-seasonal normalized difference vegetation index (NDVI) and the normalized difference red edge (NDRE) data for three soybean lots with different irrigation methods (subsurface drainage, conventional, subsurface drip irrigation) using drone remote sensing. Combining NDVI (photosynthetically active biomass, PAB) and NDRE (chlorophyll) offered a comprehensive analysis of soybean growth, capturing both overall health and stress responses. Our analysis revealed distinct growth patterns for each lot. LotA(subsurface drainage) displayed early vigor and efficient resource utilization (peaking at NDVI 0.971 and NDRE 0.686), likely due to the drainage system. Lot B (conventional cultivation) showed slower growth and potential limitations (peaking at NDVI 0.963 and NDRE 0.681), suggesting resource constraints or stress. Lot C (subsurface drip irrigation) exhibited rapid initial growth but faced later resource limitations(peaking at NDVI 0.970 and NDRE 0.695). By monitoring NDVI and NDRE variations, farmers can gain valuable insights to optimize resource allocation (reducing costs and environmental impact), improve crop yield and quality (maximizing yield potential), and address rural challenges in South Korea. This study demonstrates the promise of drone-based VIs for revitalizing open-field agriculture, boosting farm income, and attracting young talent, ultimately contributing to a more sustainable and prosperous future for rural communities. Further research integrating additional data and investigating physiological mechanisms can lead to even more effective management strategies and a deeper understanding of VI variations for optimized crop performance.

• 전자통신동향분석
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• 제33권4호
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• pp.70-80
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• 2018

Drones are now widely used in civilian applications such as filming, leisure, agricultural control, monitoring, and the generation of 3D-spatial information, deviating only from military drones. In the field of logistics, prototypes are emerging in the area of logistics transportation, and to develop a future transportation service under the name of a drone tax, each country is introducing its first flight results using its own unique drones. In this paper, we review the domestic and overseas trends of drone delivery service technology, which requires various capabilities such as automatic flight, and review the related core technologies. We then propose the flight capability and road map of a drone delivery service according to the detailed conditions such as the flight area, visibility, and flight method. Additionally, in connection with the postal processing of the Korea Post Office, which would be a main demand for this type of service, we describe a method for realizing a drone delivery service based on the structure, scenario, and deployment of the drone delivery system.