• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.509-512
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• 2016

The standard of the greenhouse control system defines the components in applying IT technologies to a greenhouse and specifies the requirements and the architecture for the technological issues. The system collects information for the growth management of corps and can control the facilities promoting the optimal growth environments in greenhouse. This system includes the growth environment management service, the growth environment control service, and etc. In this paper, it is required to consider the actualized IT convergence case for agriculture, namely Smart Farming as a solution to cope the presented problems. In addition, suggest to standard functional model and standardization items for the smart farming based on network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.485-488
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• 2016

The level of domestic greenhouse complex environmental control technology is a hardware-oriented automation steps that mechanically control the environments of greenhouse, such as temperature, humidity and $CO_2$ through the technology of cultivation and consulting experts. This automation brings simple effects such as labor saving. However, in order to substantially improve the output and quality of agricultural products, it is essential to track the growth and physiological condition of the plant and accordingly control the environments of greenhouse through a software-based complex environmental control technology for controlling the optimum environment in real time. Therefore, this paper is a part of general methods on the greenhouse complex environmental control technology. and presents a horticulture production forecasting methods using artificial neural networks through the analysis of big data systems of smart farm performed in our country and artificial neural network technology trends.

• Smart Media Journal
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• v.12 no.10
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• pp.47-54
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• 2023

As understanding sudden climate change and agricultural productivity becomes increasingly important due to global warming, soil moisture prediction is emerging as a key topic in agriculture. Soil moisture has a significant impact on crop growth and health, and proper management and accurate prediction are key factors in improving agricultural productivity and resource management. For this reason, soil moisture prediction is receiving great attention in agricultural and environmental fields. In this paper, we collected and analyzed open field environmental data using a pilot field through random forest, a machine learning algorithm, obtained the correlation between data characteristics and soil moisture, and compared the actual and predicted values of soil moisture. As a result of the comparison, the prediction rate was about 92%. It was confirmed that the accuracy was . If soil moisture prediction is carried out by adding crop growth data variables through future research, key information such as crop growth speed and appropriate irrigation timing according to soil moisture can be accurately controlled to increase crop quality and improve productivity and water management efficiency. It is expected that this will have a positive impact on resource efficiency.

• Journal of Biosystems Engineering
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• v.20 no.3
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• pp.226-235
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• 1995

An unmanned speed sprayer was developed using a remote control and an inductive cable guidance systems to protect operators and environment from hazardous pesticides. The sprayer consists of a remote control system, an induction system, obstacle detectors, control actuators and an one-chip microcomputer. The sprayer can be operated by the induction guidance and/or remote control. The following summarize characteristics of the developed speed sprayer. 1) Both the remote control and the induction guidance operation were possible with the developed speed sprayer. 2) Sixteen functions of the forwarding, backing, halting, steering, 3-way valve for nozzles and fan operating etc. were utilized on the remote control system. 3) It was concluded that the DTMF method, having less transmitting error, performed better than the FSK method for an agricultural remote controller. A radio station may be necessary. 4) The digital inductive guidance system, consisting of five low-impedance detection coils and a window comparator circuit, performed better than the analog detecting system, guiding route using inductive voltage differential from tow detection coils.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2006.11a
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• pp.516-518
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• 2006

생분해성 고분자 재료들은 지구환경 보호측면에서 다양한 분야, 즉, 1회용 재료, 농업용 필름 및 생체적합성 재료(약물 방출, 봉합사) 등에서 실용화되거나 활발한 연구가 진행되고 있다. 이들 재료의 상업적응용은 물성, 분해능, 제조가격, 대량생산 등에 의해 좌우 될 수 있다. 이들 중 특히, 분해 속도의 측정 및 조절은 본질적인 응용에서 가장 중요한 위치를 차지 하고 있다. 분해 속도의 규명 및 조절은 제품의 수명을 제어할 수 있고 응용분야를 넓힐 수 있다. 본 연구에서는 단분자 막장치를 이용하여 생분해성 고분자의 분해 속도 및 이성질체간의 complex 형성을 통한 분해속도의 제어를 연구하였다. complex의 형성은 분해성 고분자의 분해속도를 현저히 감소시키는 것으로 나타났다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.5
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• pp.551-557
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• 2014

This paper presents a robust lateral controller for autonomous guidance of a farm tractor in field operations. Although mechanical steering actuators have recently been used for passenger vehicles, the steering actuator of the farm tractor is based on a hydraulic system, resulting in limited bandwidth and a larger time delay. Based on a kinematic tractor model with steering actuator dynamics, a nonlinear control technique called dynamic surface control is applied to design a robust lateral controller that compensates for uncertainty owing to steering actuator and road geometry. Finally, tracking performance and robustness of the proposed controller are validated via commercial tractor simulations, with respect to the time delay of the steering actuator and road geometry (e.g., up and down hills), on a given field with a constant friction coefficient.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1994.05a
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• pp.81-84
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• 1994

우리나라의 전작 및 시설농업 중 노동력이 많이 투여되는 작업은 파종, 이식 및 수확작업이다. 그중 파종작업은 다른 작업에 비해 인력에 대한 의존도가 매우 높으며 기계화의 필요성이 절실한 분야라 하겠다. 이와 같은 견지에서 본 연구는 컴퓨터에 의해 파종량 및 파종간격이 제어되고 따로 추출장치를 교환하지 않고 여러 종자를 파종할 수 있으며 실제 파종기에 이용될 수 있는 파종조절장치를 개발하는 데 있다. (중략)

• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.333-335
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• 2007

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2003.07a
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• pp.402-406
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• 2003

묘생산 시스템은 크게 개방형과 폐쇄형으로 구분된다. 개방형 묘생산 시스템은 시스템 내부와 외부의 공기ㆍ물ㆍ열 등의 교환이 가능한 시스템을 의미한다. 현재 실생묘, 삽목묘, 접목묘 등은 일사가 투과되는 온실 또는 묘포장에서 생산된다. 그러므로 온실 또는 묘포장을 이용한 묘생산 시스템은 개방형 묘생산 시스템에 해당한다. 개방형 묘생산 시스템에서는 외부기상의 변동에 따라 시스템 내의 기온, 상대습도, 광량, 기류속도, $CO_2$ 농도 등의 물리적 환경요인이 변화하므로 이들 환경 요인을 일정한 수준으로 제어하기가 쉽지 않다. 때문에 균일한 묘소질을 지닌 묘의 계획적 생산이 근본적으로 불가능하다. (중략)

• 한국환경농학회:학술대회논문집
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• 2011.07a
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• pp.292-292
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• 2011