• 드라이브 ㆍ 컨트롤
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• 제21권2호
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• pp.53-64
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• 2024

Global population growth has resulted in an increased demand for food production. Simultaneously, aging rural communities have led to a decrease in the workforce, thereby increasing the demand for automation in agriculture. Drones are particularly useful for unmanned pest control fields. However, the current method of uniform spraying leads to environmental damage due to overuse of pesticides and drift by wind. To address this issue, it is necessary to enhance spraying performance through precise performance evaluation. Therefore, as a foundational study aimed at optimizing drone-based pest control technologies, this research evaluated water-sensitive paper (WSP) via density map estimation using convolutional neural networks (CNN) with a encoder-decoder structure. To achieve more accurate estimation, this study implemented multi-task learning, incorporating an additional classifier for image segmentation alongside the density map estimation classifier. The proposed model in this study resulted in a R-squared (R²) of 0.976 for coverage area in the evaluation data set, demonstrating satisfactory performance in evaluating WSP at various density levels. Further research is needed to improve the accuracy of spray result estimations and develop a real-time assessment technology in the field.

• 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.

• Journal of Biosystems Engineering
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• 제22권2호
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• pp.137-150
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• 1997

To investigate the feasibility of a boom sprayer in the paddy field, an experimental boom sprayer for both broadcast and directed spraying to the lower part of rice plants was developed. The droplet deposition characteristics of the boom sprayers were experimentally compared to those of power sprayer. Water sensitive papers(WSP) and a machine vision system were used to evaluate the coverage rate and droplet density. It was shown that the broadcast application by the boom sprayer was the best coverage among the tested sprayers. Coverage tate and droplet density were affected by the distance between nozzles and the sprayer ground speed, The best result was obtained when the distance of 30cm and the speed of 1.7km/hr. The directed application showed inconsistency in overall droplet distribution. The inconsistency was judged to be caused by conflict between plants and boom extenders. The power sprayer showed a very wide range of droplet size distribution, relatively larger droplets and inconsistency in cove The power sprayer was judged to be inadequate for the low-volume precision application because of inconsistency in performance and difficulty in adjusting the spraying rate. Based on the droplet coverage characteristics, it was concluded that the self-propelled boom sprayer for the broadcast application was feasible for an alternative to the power sprayer in case of low volume, precision application in paddy condition.

• 한국응용곤충학회지
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• 제60권2호
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• pp.229-234
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• 2021

본 연구에서는 멀티콥터를 이용한 무인항공용 방제약제 살포시 사용하는 상용 노즐에 3가지 타입에 따른 살포양상과 피복도를 조사하였다. 처리구에 플루페녹수론·메타플루미존(flufenoxuron+metaflumizone) 액상수화제와 비펜트린(bifenthrin) 유제를 살포하고난 뒤, 살포 약제의 낙하입자를 감수지를 이용하여 측정하고 감수지의 피복도를 조사하였다. 낙하입자 분석결과 풍속의 차이에 따라 노즐별 낙하입자 균일도에 차이를 보였으며 제형별 차이는 없었다. 노즐별 분사량은 공식 제공정보와 실제 분사량에 차이를 보였다. 이 결과들은 무인항공기 이용 농업현장방제 및 약제등록시험 가이드라인 설정에 근거자료로 활용될 수 있을 것이다.

• 농약과학회지
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• 제18권4호
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• pp.350-357
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• 2014

유리온실내에서 파프리카에 살포되는 분무기의 종류에 따라 살포되는 농약 부착량과 해충방제정도에 대하여 검토하였다. 또한 해충의 최적방제조건에서 단위면적당 농약함량을 최적화하기 위한 시험이 시도되었다. 파프리카 시설재배지에 두 종류의 분무기로 적절하게 7개구간으로 나누어 3반복 실험을 수행하였다. 농약 살포할 때 발생되는 사각지대를 감수지로 조사하였을 때 무인연무기는 하우스내의 식물에 골고루 부착하지 못하였으며 고압식 U자형분무기 모든 식물에 충분하게 부착되었다. 또한 살포된 농약 잔류조건에서 모든 부분에 최저잔류농도허용치를 초과하지 않았다. 살포조건에 따른 해충방제에서 담배가루이와 목화진딧물은 미세한 물방울 형태로 분무되는 무인연무기 Pyrifluquinazon 10% 입상수화제를 살포하였을 때 감수지가 청색으로 변한 부분은 각각 82.5%와 81.2%이며, 중간부분은 각각 53.0%와 42.6%의 방제효과가 나타났다. 그러나 농약이 부착되지 않은 아래 부분은 해충발생이 방제전보다 더 증가하였다. 한편 농가에서 하나의 약제를 수년 동안 반복하여 사용한 경우에는 약액이 충분하게 부착되었어도 매우 저조한 방제효과로 저항성 경향이 나타났다. 단위면적당 최적 살포량을 위한 실험에서는 9그루 파프리카 잎에서 약액이 흘러내릴 정도로 충분하게 살포하였을 때는 5 l에서 81.8% 그리고 1/2물량인 2.5 l에서는 84.5%로 매우 유사한 방제효과로 나타났다.