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RISS 인기검색어
- 검색키워드
- 저자 : ( Hanif Adhitya ) (검색결과 4 건)
- 무료
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( Hanif Adhitya ),( Seung-hwa Yu ),( Xiongzhe Han ) 한국농업기계학회 2023 한국농업기계학회 학술발표논문집 Vol.28 No.1
The main problem with the applying plant treatment using unmanned aerial spraying systems (UASS) is the unpredictability of the environment. In this study, the environmental and operating conditions of the UASS are used as parameters that must be addressed using a control system. By utilizing the SG-10P octocopter sprayer platform, which is attached to an indoor simulator to obtain controlled environmental conditions, simulations are performed to obtain model development datasets. The datasets obtained are the coefficient of variation (CV) values, and model equation development is done by machine learning, with Random Forest Regression as the model with the highest accuracy of 0.9, close to the actual value. Utilizing a baseline CV below 30%, this model can provide commands in the control system to execute nozzle openings to address real-time conditions and minimize pesticide usage.
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( Hanif Adhitya ),( Seung-hwa Yu ),( Xiongzhe Han ) 한국농업기계학회 2023 한국농업기계학회 학술발표논문집 Vol.28 No.2
The consideration of plant treatment technology depends on the prevalence of diseases and the characteristics of the planting field. Environmental conditions also play a crucial role when applying treatments with an Unmanned Aerial Spraying System (UASS) to ensure uniform and targeted pesticide spraying without excessive use. This research involved the collection of environmental data using a ground-base station (wind speed and wind direction) and drone operational sensor, including GPS (flight speed and altitude), a tank capacity monitor (water flow), and input values (flight mode type and interval), all in real-time. The system can also recognize spraying locations; thus, spraying will only occur at points where plant diseases are found. The combination of parameter data from sensors and the location of plant diseases, determined by GPS and processed by machine learning, produces an output coefficient of variation (CV) value. This value serves as the foundation for decisions regarding the operation of the pump connected to the nozzle in the UASS. This study is a step toward reducing pesticide usage while still ensuring uniformity in spraying, as determined by the standard CV.
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하니프아드히탸 ( Hanif Adhitya ),유승화 ( Seung-hwa Yu ),한웅철 ( Xiongzhe Han ) 한국농업기계학회 2022 한국농업기계학회 학술발표논문집 Vol.27 No.1
Eradication of pests and diseases of crops using Unmanned Aerial Vehicle (UAV) sprayers has become commonly used. This method is considered very effective because the UAV's range is more flexible than humans capabilities. However, inappropriate use of pesticides will cause pests to become resistant (e.g., Crocidolomia pavonana, Plutella xylostella, Nilaparvata lugens). Therefore, it is necessary to use a precise quantity of spraying according to the type of pesticide, the type of pest and plant disease, and the type of plant. The data obtained in the field related to the proportion of quantity and type of pesticides used are used as a reference to create a sprayer model that can distribute the amount of pesticides with precision. Agricultural UAV sprayers require intense data from the output quantity algorithm on environmental factors such as wind speed and factors from the UAV such as flying speed and altitude. In this research, mathematical calculations were carried out to obtain a formula as the basis for the simulation used to execute the independent control nozzle system mounted on the UAV. The UAV-based precise variable spraying control system can be used to deal with pests and plant diseases in an efficient and precise manner.
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가변형 UAV 살포 제어기 개발을 위한 실내 비행 시뮬레이션 기반의 살포 분포 특성 평가
아드히탸사이풀하니프 ( Adhitya Saiful Hanif ),한철우 ( Cheol-woo Han ),유승화 ( Seung-hwa Yu ),한웅철 ( Xiongzhe Han ) 한국농업기계학회 2022 한국농업기계학회 학술발표논문집 Vol.27 No.2
Unmanned aerial vehicles (UAVs) sprayer on agricultural sector has advanced to precise variable rate spraying. Pesticides should be applied based on the severity of diseases varies by location in the field to reduce pesticide waste. An independent control variable spray system was proposed based on the actual environmental factors. Thus, an indoor simulation was carried out using an octocopter UAV sprayer (model SG-10P, Hankook Samgong, Seoul, Korea), which evaluates environmental parameters and platform conditions. Spraying distribution data with varying coverage values (%) based on the treatment variable. This data becomes the reference algorithm for the control system, which provides the nozzle opening based on the required quantity. The framework involves sensors capable of providing prescription value in the real-time interpretation of the operating condition. The expected outcome is an independent control system that adapts on quantity requirements while also taking into account surrounding factors. Whereas system can read the flow rate value issued is the same as the required precondition on locations, It can also overcome the inaccuracy of UAV sprayer features.
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