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Browsing by Subject "Agriculture engineering"

Browsing by Subject "Agriculture engineering"

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  • Md Rejaul Karim; Shahriar Ahmed; Md Nasim Reza; LEE KYUHO; HongBin Jin; Mohammod Ali; Chung Sun-Ok; Joonjea Sung (Korean Society of Precision Agriculture, 2024-06)
    Characterization of plant features is essential for effective management of plant growth monitoring, and precise management practices in crop production. Stereo vision captures multiple perspective images to create a ...
  • cheol woo yang; Hyeon Ho Jeon; Seung Yun Baek; Seung Min Baek; KIM YONG JOO (Korean Society of Precision Agriculture, 2023-12)
    This study was conducted to analyze the engine load ratio of a 38 kW agricultural tractor to calculate national emissions. Engine output was calculated using engine CAN (Controller area network) data measured through a ...
  • 윤성욱; Man-Kwon Choi; Chan Yu; Si-Young Lee; YongCheolYoon (Institute of Agriculture & Life Science, Gyeongsang National University, 2014-02)
    This study analyzed load transferred from upper structure due to wind and snow loads and applied to foundation on greenhouse structure in order to provide basic data for economic and reasonable design of greenhouse. The ...
  • Jae Won Lim; Md Nasim Reza; Sun-Ok Chung; Ka Young Lee; Se Yoon Lee; Ki Nam Lee; Bram Lee (Korean Society of Precision Agriculture, 2023-03)
    Efficient agriculture is being emphasized due to the increase in the global population and the decrease in agricultural-related workers. Due to a desire to boost productivity and a dearth of available laborers, smart ...
  • Sung Wook Lee; Md Nasim Reza; Sun-Ok Chung; Ho-Sung An; Ye Rin Lee; Sung Soo Kim; Hye Won Seo; Chang Uk Cheon (Korean Society of Precision Agriculture, 2023-03)
    Globally, the population is expanding, whereas the agricultural labor population is decreasing due to the population aging. In addition, as a result of the liberalization of trade restrictions, prices for food and livestock ...
  • Tae Youn Lee; Md Nasim Reza; Sun-Ok Chung; Dong Uk Kim; Seung Yeon Lee; Dae Han Choi (Korean Society of Precision Agriculture, 2023-03)
    The goal of agricultural research is to improve agricultural productivity and food quality while decreasing costs and increasing the profits. The problem of the precision technique is to provide the farmer with appropriate ...
  • Hwang, Syewoon; 아세파 터루소; 장승우 (The Korean Society Of Agricultural Engineers, 2013-12)
    미래 기후 정보를 이용한 수문 환경의 단기 미래 예측은 안정적 수자원 공급을 위한 필수적 과제이다. 미국 플로리다 주 중서부 템파지역에서는 주요 수자원 중 하나인 지하수의 효과적 활용을 위해 지하수위 인공신경망 모델 (GWANN)을 개발하여 피압 대수층과 비피압 대수층에 대한 주 단위 평균 지하수위를 월별로 예측하고 그 결과를 수자원 공급 의사 결정에 반영하고 있다. 본 논문은 템파지역에 대한 ...
  • E.J.M.P.T.K. Rathnayaka; Park Tusan (Korean Society of Precision Agriculture, 2024-03)
    This research introduces an automatic gate-controlling system explicitly tailored for sustainable paddy cultivation in Sri Lanka. Paddy fields, critical to the nation's food security, often face water management and resource ...
  • SooHyun Cho; Seung-Woo Kang; Baek-Gyeom Sung; Dae-Hyun Lee (Korean Society of Precision Agriculture, 2023-09)
    This study was conducted to apply a deep learning model to identify and visualise path areas in an orchard. Data was collected by attaching an image capture device to the front of a sprayer and driving it through an orchard. ...
  • Jin-Hyuck Jeong; Ka Young Lee; Samsuzzaman; Mohammod Ali; Sun-Ok Chung; Soon Jung Hong (Korean Society of Precision Agriculture, 2023-06)
    High-quality citrus farming is essential for increasing agricultural production on Jeju Island.Citrus income, which accounts for 56% of the total, has a significant influence on the Jeju economy. However, improving citrus ...
  • Chan Ho Kim; Samsuzzaman; Md Nasim Reza; Ka Young Lee; Md Razob Ali; Sun-Ok Chung; Md. Shaha Nur Kabir (Korean Society of Precision Agriculture, 2023-06)
    Recent advancements in plant disease identification have leveraged image processing and deep learning techniques for automated detection. Visual deep learning systems are employed to identify diseases accurately in the ...
  • Seok-Bong Noh; Youn-Neyoung Kim; Dong-Hee Noh (Korean Society of Precision Agriculture, 2023-03)
    This paper proposes the architecture design of the automatic growing seedling platform based on the plan based control system using a robot and an monitoring system. The main objective of this paper is to propose the ...
  • Mohammod Ali; Md Razob Ali; Md Ashrafuzzaman Gulandaz; Md Asrakul Haque; Md Sazzadul Kabir; Sun-Ok Chung (Korean Society of Precision Agriculture, 2023-09)
    Precision water management is crucial for greenhouse agriculture to maximize crop yields in sandy soil. Due to the low water holding capacity, it is necessary to monitor the water movement in different depths of sandy soil ...
  • Jae Kyun Kwak; Min Young Shin; Byeong Cheon Kim; Yeong Jin Jeon; Seung Hyun Lee (Korean Society of Precision Agriculture, 2024-06)
    Monosodium glutamate (MSG) is a widely used flavor enhancer first identified by Ikeda in 1909. Traditionally produced through acid hydrolysis of gluten or hot water extraction from seaweed, modern MSG is derived via ...
  • Jae Kyun Kwak; Seon Ho Hwang; Seong Yong Joe; Jun-Hwi So; Gi Ho Song; Tae Keon Park; Seung Hyun Lee (Korean Society of Precision Agriculture, 2024-06)
    The objective of this study was to implement a pulsed electric field (PEF) based frying device to delay the rancidity of frying oil. To generate the pulsed electric field, electrodes and a function generator or IGBT-based ...
  • SooHyun Cho; HeeJong Jeong; Seung-Woo Kang; Dae-Hyun Lee; ChungYeol Lee (Korean Society of Precision Agriculture, 2023-06)
    In this study, a weeding robot with real-time crop recognition and weed control techniques was developed. To collect real-time images while the robot was moving, a self-developed image acquisition device using a mono camera ...
  • Tae Hwan Ko; Seok Ho Han; Hea-Min Lee; Dong-Hee Noh; won-deok heo; ByungGak Chin; Jong Seok Park (Korean Society of Precision Agriculture, 2023-12)
    This study described the results of implementing the framework of the digital twin system for the digitization of plant factories. The purpose of this invention is to implement a system based on digital twins that can ...
  • Seung-Woo Kang; Soo-Hyun Cho; Baek-Gyeom Seong; Dae-Hyun Lee (Korean Society of Precision Agriculture, 2023-06)
    In this study, we purposed autonomous combine harvester’s environment detection system based on deep neural networks. We conducted to develop detection system in order to comfortably apply to combine harvester without ...
  • Dey Pabel Kanti; Banu Selina; Milufarzana Milufarzana; Robin Sakib; Mazumdar Nayon Chandra; Samsuzzaman Samsuzzaman; Kabir Md Shaha Nur (Korean Society of Precision Agriculture, 2024-03)
    Water management in irrigated agricultural fields is a critical issue in Bangladesh due to a lack of improved irrigation facilities for efficient use of irrigation water, and the cost of crop production is high with low ...
  • 최은규; 김명훈; Baekgyeongyun; Choi Mankwon; YongCheolYoon; Kim Hyeon Tae (Institute of Agriculture & Life Science, Gyeongsang National University, 2013-10)
    온실 및 식물공장 작물재배에 있어서 LED 광원과 작물생육에 관한 연구들은 활발히 진행 되고 있으나, LED광원과 식물에 병을 일으키는 식물병원균에 대한 연구들은 미흡하다. LED 광원은 이미 시설재배 혹은 식물공장에 설치되어 있으므로 LED광원으로 식물에 발생하는 병원균을 제어할 수 있다면 방제에 필요한 인적, 시간적 비용과 살균제 등과 같이 인체에 유해한 성분들의 사용을 감소시킬 수 있을 ...

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