• Monthly Duck's Village
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• s.178
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• pp.47-47
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• 2018

• Journal of Advanced Navigation Technology
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• v.12 no.4
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• pp.324-331
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• 2008

In this paper, we developed the crops monitoring system using wireless sensor networks. It can acquire the information about the cultivation environments from a temperature, humidity, illumination and soil sensor then use the detailed information for very useful. The acquisition about the cultivation environment information with wireless sensor networks can be made up an environment that an administrator is able to confirm the information and wherever in a remote place instead of conventional way visiting the cultivate place by investing a lot of money and time. Therefore, it could be saving money, time and effort, and reduced the damages from the natural disasters such as a cold-weather damage and drought. In addition, we could be possible preventing from the damages of blight and harmful insects according to the temperature by an analysis. In agriculture field, this system could be supported for making a foundation of the advanced technology developing endless, and, in IT field, it is look forward to preparing the opportunity which creates a new requirement on the new technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8896-8900
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• 2015

Recently, various career paths draw young workers from twenty to forty to the metro city in Korea. The korea's agriculture sector has decrease in population and productivity which result a threat for it to become an aging society. Also, our country has a difficulty in a tough competition with other countries through agricultural market-opening such as WTO and FTA. In this paper, we introduce a technology using open-source project including Raspberry that easily accessible and applicable to an agricultural industry. In other words, as we build a device monitoring the production environment, everyone can use agricultural sector through an IoT technology, solve the problem with a labor shortage through production process automation, check the condition of the agricultural environment in real time, enhance the quality of the agricultural product by corresponding a certain condition, and improve the competitiveness through a competitive price comparing to the worldwide farm product. Also, we find a way to use data to the other business through data collection and analysis in a process of using the IoT.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.63-68
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• 2018

Research on smart farms centering on greenhouse cultivation is actively under way due to the decrease in agriculture population and aging, but in the case of vegetables such as vegetables, outdoor cultivation is 70%. Therefore, there is a need to improve productivity and prevent soil contamination by automating, cultivating, and intelligentizing the outdoor cultivation of agriculture crops. In this paper, we show the case of establishing a outdoor production system using the Internet of things and define the environmental variables in the outdoor production system. By measuring soil temperature, water content, electrical conductivity and acidity through sensors, LoRa communication module transmits the information to the outdoor production system. The outdoor production system controls the amount of fertilizer and the volume of water based on this sensor data. We have developed a system that manages a wide range of crops using LoRa technology, which is a suitable communication method for cultivating crops, and manages production volume and sales performance.

• Journal of Korean Society of Forest Science
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• v.94 no.6
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• pp.476-480
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• 2005

Agricultural straws such as rice and barley were used as partial replacement of raw materials for particleboard (PB) manufacture. A melamine-urea-formaldehyde (MUF) resin, based on 5 percent melamine addition of the resin solids weight, was synthesized in the laboratory for the bonding of PB. PBs were made using two straw particles based on 10, 20, 30, 40% oven dry weight addition with MUF resin. PBs were tested for physical and mechanical properties, and water soak dimensional stability. The results indicated that as rice and barley straws addition level were increased, the properties of IB, MOR and dimensional stabilities such as thickness swell and water absorption were decreased. Overall, the agricultural straws can be used at 15% substitution of raw materials for PB manufacture.

• Journal of Radiation Protection and Research
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• v.30 no.1
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• pp.45-54
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• 2005

A dynamic compartment model was developed to appraise the level of the contamination of agricultural plants by accidentally released tritium from nuclear facility. The model consists of a set of inter-connected compartments representing atmosphere, soil and plant. In the model three categories of plant are considered: leafy vegetables, grain plants and tuber plants, of which each is modeled separately to account for the different transport pathways of tritium. The predictive accuracy of the model was tested through the analysis of the tritium exposure experiments for rice-plants. The predicted TFWT(tissue free water tritium) concentration of the rice ear at harvest was greatly affected by the absolute humidity of air, the ratio of root uptake, and the rate of rainfall, while its OBT(organically bound tritium) concentration the stowing period of the ear, the absolute humidity of air and the content of hydrogen in the organic phase. There was a good agreement between the model prediction and the experimental results lot the OBT concentration of the ear.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2167-2171
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• 2016

The purpose of the cultivated crops have been changes in the aim of improving quality production. In recent years, as people's attention on health, the demand for healthy crops such as mushrooms gradually increased. In the process of mushroom factory production, regulation of environmental factors directly affects the yield and quality of mushroom. In related to the methods of mushroom cultivation, the recent technologies apply the new technology such as sensors and IT convergence services. And then cultivating mushroom is managed effectively. Farmers use plastic greenhouse cultivation mode more and more in order to reduce the impact of outdoor environment on crop cultivation, which requires farmers to adjust the greenhouse temperature at any time. But the majority of farmers still use a thermometer to measure temperature. This paper constructs an environment that can automatically adjust the temperature, so as to measuring temperature in real time, improving the efficiency of the farm work, and reducing unnecessary labor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.5945-5949
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• 2014

The rural population is aging and farmers need to aim for mass production. This study examined the work efficiency of clamping and protecting crops. Strong winds are a risk for damage, but there are no reports of studies of the geometric design problem for vegetation. The accuracy of the simulation to obtain a load applied to the actual support and index was examined. The model was selected according to its strength based on the reliability of the simulation. Also acts in force of 0.1N to 0.6N, which can withstand the force of 1.29N with the results of this thesis research. The fixed clamp fixing for agricultural crops designed as a support was examined. These results are expected to help shorten working hours, and improve the growth of crops and disaster prevention.

• Journal of Aerospace System Engineering
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• v.17 no.2
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• pp.38-44
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• 2023

This study aims to determine how agricultural drones are operated for flight tests using a 5G communication in order to carry out a mission such as sensing agricultural crop healthy status with special cameras. Drones were installed with a multi-spectral and IR camera to capture images of crop status in separate altitudes with different speeds. A multi-spectral camera can capture crop image data using five different particular wavelengths with a built-in GPS so that captured images with synchronized time could provide better accuracy of position and altitude during the flight time. Captured thermal videos are then sent to a ground server to be analyzed via 5G communication. Thus, combining two cameras can result in better visualization of vegetation areas. The flight test verified how agricultural drones equipped with special cameras could collect image data in vegetation areas.

• Advanced Industrial SCIence
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• v.3 no.2
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• pp.17-22
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• 2024

Recently, as the ICT field has been used in various environments, it has become possible to analyze pests by crops, use robots when harvesting crops, and predict by big data by utilizing ICT technologies in a sustainable agricultural environment. However, in a sustainable agricultural environment, efforts to solve resource depletion, agricultural population decline, poverty increase, and environmental destruction are constantly being demanded. This paper proposes an artificial intelligence-based big data processing analysis method to reduce the production cost and increase the efficiency of crops based on a sustainable agricultural environment. The proposed technique strengthens the security and reliability of data by processing big data of crops combined with AI, and enables better decision-making and business value extraction. It can lead to innovative changes in various industries and fields and promote the development of data-oriented business models. During the experiment, the proposed technique gave an accurate answer to only a small amount of data, and at a farm site where it is difficult to tag the correct answer one by one, the performance similar to that of learning with a large amount of correct answer data (with an error rate within 0.05) was found.