• Title/Summary/Keyword: 농업용 방제드론

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Experimental Vrification of the Sray Clculation using the Aricultural Done (농업용 방제드론의 방제면적 산출에 따른 실험적 검증)

  • Wooram Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.569-576
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    • 2023
  • An agricultural drones are gradually increasing in utilization due to economic efficiency, and consist of a main frame in charge of flying spray system in charge of moving pesticide to control targets. Therefore, the environment and characteristics of crops should be considered when controlling pesticides using drones and conditions such as systematic flying altitude of flight, speed, and spray time should be changed accordingly. However, pest control work using agricultural drones has different spray effects depending on level the operation proficiency and spray impact. In addition, there are variations in operating standards and control efficiency for agricultural drones, which hinder the distribution of agricultural control drones in the field of pest control work. Therefore, this study attempts to identify the spraying characteristics of agricultural drones, apply the effective spraying time, interval and experimentally verify the system that can calculation of spray area compared to previous studies. Through this experimental verification, it is intended to apply the optimal control process by minimizing the obstacles to pest control work by applying the operation method and systematic figures to agricultural drones.

Development of Spray Calculation Algorithm Using the Pest Control Drones (농업용 방제드론의 방제면적 산출 알고리즘에 관한 연구)

  • Lim, Jin-Taek
    • Journal of Convergence for Information Technology
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    • v.10 no.10
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    • pp.135-142
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    • 2020
  • In the recent farming industry, there is a growing diffusion of drones, which are recognized as a crucial technology of the 4 th industrial revolution to cope with aging. Especially, filming and pest control using drones are representative fields that have different age groups for obtaining a national license of multicopter that is a ultra-light flying device, and can create profits after getting a license. However, pest control technology using drones has different spray effects depending on levels of operational proficiency, since this highly relies on an operator's operating skills. It is anticipated that if this issue is supplemented, the use of drones for pest control in the farming industry will diversify. For analysis of spraying characteristics of agricultural pest control drones, this study aims to formulate effective spraying hours and effective spraying intervals and suggest an algorithm, which facilitates an accurate calculation of pest control area depending on the kinds of pest control drones. This algorithm can be used in the field of pest control by improving scatterling issues caused by drone flight methods of drone pest controllers and building an optimum pest control manual in future.

Development of online drone control management information platform (온라인 드론방제 관리 정보 플랫폼 개발)

  • Lim, Jin-Taek;Lee, Sang-Beom
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.4
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    • pp.193-198
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    • 2021
  • Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.

Development of Control System for Pesticide Control Management (드론방제 관리를 위한 관제시스템 개발)

  • Dae-Soon Kim;Yun-Seong Lee;Jeong-seok Yoon;Snag-Beom Lee
    • Journal of the Institute of Convergence Signal Processing
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    • v.25 no.1
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    • pp.27-32
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    • 2024
  • Recently, in the era of the 4th industry, the era of smart agriculture is progressing with the use of related core technologies in the agricultural sector. As a representative example, the use of drones for pest control is increasing, and the use in the agricultural sector is increasing, and the existing control method is being changed by replacing the aging population. However, the importance of control management is increasing due to the increase in agricultural control drones. In this study, various civil complaints are occurring due to the non-standardization of the control operator's work instructions, control area allocation, and control settlement. In this study, we try to resolve civil complaints by computerizing various tasks that occur from the drone control manager's point of view and computerizing them so that they can be managed. Through this, it is intended to manage the control area for large areas and use it as basic data for the development of control management system.

Experimental Verification of the Characteristic Analysis of the Aricultural Drone using Smart Operating Mode (스마트 운영 모드를 활용한 농업용 방제 드론의 특성 분석에 관한 실험적 검증)

  • Wooram Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1049-1055
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    • 2023
  • The utilization of agricultural drones for pest control operations has been increasing due to its economic efficiency. However, variations in the effectiveness of these operations occur depending on the operator's proficiency. In this study, we applied a smart operating mode to overcome the limitations of manual flight mode and proposed a numerical model. Through comparative validation with prior research, we conducted experimental verification. As a result, we determined the spray time and calculation of spray area for each drone model. We selected a drone for pest control with a high similarity to the numerical model and verified it experimentally. Through this, we confirmed that the application of the smart operating mode is more effective in terms of calculation of spray area and operational efficiency compared to manual flight mode.

A Study on the Characteristic Analysis of the Pest Control Drones Using Smart Operating Mode (스마트운영모드를 활용한 방제드론 특성분석에 관한 연구)

  • Lim, Jin-Taek
    • Journal of Convergence for Information Technology
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    • v.9 no.10
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    • pp.108-113
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    • 2019
  • In relation to $4^{th}$ industrial revolution, it is required to build a smart agricultural system using the pest control drones, which are emerging fast these days as a role to support pest control work of farmers and improve aging issues in farming. However, the absence of accurate criteria on management of the pest control drones and the effect of pesticide application is leading to damage to crops by pesticides. The extreme shortage of analysis of management of the pest control drones and relevant studies, and big differences in pest control efficiency depending on the operation skills of controllers are the biggest reasons for the damage. Therefore, this paper suggests a basic study on agricultural pest control drone operation system buildup to make out working schedules and calculate the dosage of pesticide by understanding the features of the pest control drones properly based on the control using smart operating mode.

농업활용 드론 기술동향 및 과제

  • Kim, Seong-Hwan;Lee, Geon-Hui;Yu, Gi-Ho
    • ICROS
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    • v.22 no.3
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    • pp.34-42
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    • 2016
  • 군사용 목적으로 개발된 드론이 급격한 발전을 통해 항공촬영, 배송, 정찰/감시 등의 민간 분야로 확대되면서, 최근에는 드론을 활용한 다양한 응용분야가 주목받고 있다. 농업분야의 드론 활용은 방제작업뿐만 아니라 파종, 작황 모니터링, 샘플채취 및 운반 등 스마트/정밀 농업 실현에 있어 큰 비중을 차지하고 있으며 그 활용이 기대되고 있다. 본 기술 특집호에서는 드론의 농업분야 국내 외 기술개발 동향에 대해 소개하고, 스마트/정밀 농업을 위한 드론의 기술이슈와 해결과제를 언급한다.

Study on Experimental Verification of Uniform Control using Agricultural Drone (농업용 방제 드론을 이용한 균일 방제에 관한 실험적 검증)

  • Wooram Lee;Sang-Beom Lee; Jin-Teak Lim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.575-580
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    • 2023
  • This study was prevent the decrease in crop output by insect pests and spraying by application uniformity. A flight level 4 m height and 4-5 m/sec. speed are difficult to maintain with a agricultural drone for aerial application, which has been affected by the methods or environmental factors, such as changes in the wind. Therefore, which can allow a controlled application width and spray rate automatically and verified experimentally using drone. The sprayed particles began to decrease from about 3.75 m on the left and right sides of the spray nozzle. According to the number of particles, the effective spraying width was observed to be about 7.5 m, and it was verified that the proposed spraying system was effective in uniform control system.

A Study on the Application of Drone to Prevent the Spread of Green Tides in Lake Environment (호수 환경의 녹조 확산 방지를 위한 드론 적용 방안에 관한 연구)

  • Jin-Taek Lim;Woo-Ram Lee;Sang-Beom Lee
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.1
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    • pp.27-33
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    • 2023
  • Recently, water shortages have occurred due to climate change, and the need for water management of agricultural water has increased due to the occurrence of algal blooms in reservoirs. Existing algae prevention is operated by putting many people on site and misses the optimal spraying time due to movement through boats. In order to solve this problem, it is necessary to block contamination in advance and move within time to uniformly spray complex microorganisms uniformly. Control drones are used for pesticide spraying and can be applied to algae prevention work by utilizing control drones. In this paper, basic research for the establishment of a marine control system was conducted for application to the reservoir environment, and as one of the results, the characteristics of a drone nozzle, a core technology that can be used for control drones, were calculated. In particular, it was found that the existing agricultural control drones had a disadvantage that the concentration was non-uniform within the suggested spraying interval, and to compensate for this, nozzle positioning and nozzle spraying uniformity were calculated. Based on the experimental results, we develop a core algorithm for establishing an algal bloom monitoring system in the reservoir environment and propose a precision control technology that can be used for marine control work in the future.