• Korea journal of population studies
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• v.23 no.2
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• pp.39-77
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• 2000

The paper examines non-agricultural occupations of Korean immigrants in the Russian Far East from 1860s to 1930s. First of all, theoretical perspectives regarding immigrants\` job selection and positions in the labor market such as cultural theory, segmented labor market theory, human capital theory, and ethnic enclave theory were reviewed and then how these theories can be applied to various jobs of Korean immigrants including mining, fishing, small business, service, and miscellaneous jobs was studied. Next. this article points out that those theories cannot explain both supply and demand sides of migration simultaneously, suggesting the need to integrate two sides of migration. In order to fill out this gap in the literature, this paper suggests the integrative approach which combines supply side and demand side of migration. According to this model, several factors in the non-agricultural jabs which were affecting Korean immigration in the Russian Far East. were identified and discussed in relation with existing theoretical perspectives. Finally this paper concludes that, in order to understand Koran migration in the Russian Far East properly, we have to take into consideration simultaneously both supply-sided factors of immigration including farming-oriented characteristics of Koreans, Korean socio-economic problems preceding immigration, and self-dependent tendencies of Korean immigrants and demand-side factor like the Russian migration policy to the immigrants and various regional situations in the Russian Far East.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11b
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• pp.489-497
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• 2000

Since Chinese cabbages weigh 3 to 5kgf and are big in size at the time of harvest, handling operations such as harvesting, loading and unloading including transportation require the highest labor demand among all other cultivation processes. Recently, though several cabbage harvesters were developed in Japan and Europe, those harvesters were not suitable for Chinese cabbages cultivated in Korea because of the size and shape. The cabbage harvester is almost meaningless without any proper cabbage piling and pallet unloading mechanism. Most harvesters developed so far adopted a sort of slide and free falling way in collecting cabbages into the pallet. Three or four labors are usually required for cleaning incoming cabbages and loading those in the pallet. Because of the required time for piling cabbages without severe damage and the required space capacity to carry empty and loaded pallets, harvesting speed should be adjusted in accordance with time required for consecutive operations. Up to now, any automatic or semi-automatic collecting device has not been developed in the world to pile cabbages on the layer one by one into the pallet in the ordered way with little damage and to unload pallet from the harvester continuously during the harvest process. To compromise system expenses and function, Semi-automatic cabbage piling and pallet unloading mechanism was devised and it required one labor. The foldable mesh pallet with a size of 1050mm x 1050mm x 1000mm and holding capacity of around 70 cabbages was utilized. The prototype for piling and unloading mechanism was composed of three parts such as feeding device, automatic piling device with retractable bellows, and pallet unloading device. Prior to developing the prototype, the geometric properties and the amount of the damage of the cabbage caused during the piling operation were investigated. Considering the height of the pallet, a series of cabbage carrying plates were mounted to the bracket chain to lift and to carry cabbages to the loading device. Indoor laboratory experiments showed that the cabbage carrying chain conveyor worked successfully. Considering the conveying speed 0.46m/sec of the pull up belt from the cabbages on the ground, the speed of cabbage carrying chain conveyor worked property in the range of 0.26m/sec to 0.36m/sec. The system allowed the operator to modify the position of cabbage slightly. Overall system worked successfully resulting into almost same capacity without severe damage to the cabbage as human did.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1996.05a
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• pp.1-10
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• 1996

Factory-style plant production systems of various kinds are the final goal of greenhouse production systems. These systems facilitate planning for constant productivity per unit area and labor under various outside weather conditions, although energy consumption is intensive. Physical environmental control in combination with biological control can replace the use of agricultural chemicals such as insecticides, herbicides and hormones to regulate plants. In this way, closed systems which do not use such agricultural chemicals are ideal for environmental conservation for the future. Nutrient components in plants can be regulafied by physical environmental control including nutrient solution control in hydroponics. Therefore, specific contents of nutrients for particular plants can be listed on the container and be used as the basis of customer choice in the future. Plant production systems can be classified into three types based on the type of lighting: natural lighting, supplemental lighting and completely artificial lighting (Plant Factory). The amount of energy consumption increases in this order, although the degree of weather effects is in the reverse order. In the addition to lighting, factory-style plant production systems consist of mechanized and automated systems for transplanting, environmental control, hydroponics, transporting within the facility, and harvesting. Space farming and development of pharmaceutical in bio-reactors are other applications of these types of plant production systems. Various kinds of state-of-art factory-style plant production systems are discussed in the present paper. These systems are, in general, rather sophisticated and mechaized, and energy consumption is intensive. Factory-style plant production is the final goal of greenhouse production systems and the possibilities for the future are infinte but not clear.

• Journal of Mushroom
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• v.13 no.3
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• pp.157-162
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• 2015

This study was carried out to analyze of the cause of button mushroom production decrease of Gyoengbuk province. In 1978, Agaricus bisporus was produced 48,000 ton and exported more than $50 millions. But since 2000, Domestic production of button mushroom was decreased by 70%, and button mushroom farm was also decreased by 37%. Cultivation area was increased by 6%, but Gyeongbuk Province was decreased by 30%. Especially, Production per $3.3{\ss}{\breve{S}}$ was dramatically decreased more than half. There were several causes such as rising labor and material cost, climate changes, and aging of mushroom cultivation farmers. And there was no effort to develop of domestic button mushroom cultivation equipments. One of the main reasons for this reduction was supplied to low quality of button mushroom compost to the farm.

• Korean Journal of Agricultural Science
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• v.44 no.3
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• pp.440-450
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• 2017

With the increasing number of migrants from urban to rural areas in Korea, Population inflow policies have helped increase the number of urban-to-rural migrants which has eased the labor shortage in rural areas.. But, there are new problems in rural areas caused by the "perception gap in regard to harmony, awareness, pride and opportunity to meet" between the urban-to-rural migrants and the original residents. The purpose of this study was to analyze the factors affecting the harmony between the urban-to-rural migrants and residents. A survey was conducted among 70 people living in Hongseong-gun in Chungcheongnam-do with an aim to come up with proposals for policies that can help resolve these social problems in the mutual understanding of urban-to-rural migrants and original residents. An ordered logit model was used to analyze the effect of the perception gap between the urban-to-rural migrants and the rural residents. The result of the survey showed that most of the urban-to-rural migrants believed that the increase in urban-to-rural migrants did not bring harmony to rural areas because of the perception gap. Based on these results, we concluded that the following three policy alternatives would be needed: first, development of urban-to-rural migrant education programs for relatively young men; second, a policy supporting various forms of community gathering in a rural society; third, diversification of urban-to-rural migrant education programs such as communication program and conflict management program, etc.

• Korean Journal of Agricultural Science
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• v.10 no.1
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• pp.90-96
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• 1983

The short period fermentation of the mushroom compost was studied as a method for the labor saving and mechanization of composting. Rice straw was crushed, watered and supplemented with organic nutrient sources. The straw-nutrient mixtures prepared were stacked and turned for short periods at the phase I and the phase II was carried out for 8 days. The total nitrogen of the short compost was lower than that of the conventional straw compost and it caused the yield decrease. The productivity of the short compost could be improved by the supplement of nurient sources. The effective nutrients were perilla meal and rice bran. Higher microflora of the rice straw-nutrient mixture during fermentation could shorten the composting period. For the short compost method the proper period of the phase I was 5 days.

• Journal of Biosystems Engineering
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• v.30 no.5 s.112
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• pp.261-267
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• 2005

In order to save labor and cost, direct seeding has been considered as an important alternative to the machine transplanting in rice cultivation. As current seeders for direct seeding of rice seeds drill irregular amount of seeds under various operating conditions, conventional drilling should be turned to precision planting which enables accurate placement of proper amount of rice seeds at equal intervals within rows. In this study, design, construction and performance evaluation of a precision seed metering device for planting of rice seeds were carried out. As prototype, the conventional roller type seed metering device was modified for planting: increasing diameter of metering roller, setting 2 or 4 seed cells on metering roller, adding seed discharging lid and its driving cam mechanism. Through performance tests for prototype and the current seed metering device, number of seeds in a hill, planting space and its error ratio, coefficient of variation of planting space (planting accuracy), and seeding length of $90\%$ of seeds in a hill divided by planting space (planting precision) at setting planting spaces of 15, and 20cm, seeding heights of 10, and 20cm, and seeding speeds of 0.1, 0.2, and 0.5m/s were investigated. Prototype showed better seed planting performance than the current seed metering devices. When setting planting space of 15 cm and seeding height of 10cm, prototype with 2 seed cells showed that variations of planting space and seeding lengths of $90\%$ of seeds in a hill at up to seeding speed of 0.5m/s were within 0.9cm, and 3.6cm, respectively.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.183-189
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• 2021

In this study, we developed a "Korean-style button mushroom cultivation Compost post-fermentation system." The purpose is to increase farm income by reducing the labor force of button mushrooms farmers and shortening the production cycle. The "Korean-style button mushroom cultivation Compost post-fermentation system" was designed to reflect the reality of domestic button mushroom farmers. By reducing the temperature difference of the fermentation Compost in the fermentation system, the company produces a button mushroom Compost that ensures uniform quality. As a result of the performance experiment, the working time of the Compost post-fermentation system was shortened by 40 hours. The number of aerobic bacteria and actinomyces that help the button mushrooms Compost increased. Filamentous bacteria that deteriorate the quality of mushrooms have been sterilized.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1373-1378
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• 2018

In order to solve the problems such as reduction of agriculture population, aging and declining of grain self sufficiency rate, agriculture ICT convergence technology utilizing IoT technology is actively being developed. Agricultural ICT technology only concentrates on facility houses, and there is no automated control system in the field of cultivation. In this paper, we propose an irrigation control system that automatically controls the solenoid valves and water pumps in a large area with Lora wireless communication. The proposed system does not require a separate power source by using a small solar panel, and it is very convenient to install and operate supporting wireless auto setup by plug-and-play method. Therefore, it is expected that it will contribute to the reduction of labor force, quality of agricultural products, and productivity improvement.

• Korean Journal of Agricultural Science
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• v.46 no.2
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• pp.381-393
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• 2019

A smart farm is a system that combines information and communication technology (ICT), internet of things (IoT), and agricultural technology that enable a farm to operate with minimal labor and to automatically control of a greenhouse environment. Machine learning based on recently data-driven techniques has emerged with big data technologies and high-performance computing to create opportunities to quantify data intensive processes in agricultural operational environments. This paper presents research on the application of machine learning technology to diagnose the growth status of crops and predicting the harvest time of strawberries in a greenhouse according to image processing techniques. To classify the growth stages of the strawberries, we used object inference and detection with machine learning model based on deep learning neural networks and TensorFlow. The classification accuracy was compared based on the training data volume and training epoch. As a result, it was able to classify with an accuracy of over 90% with 200 training images and 8,000 training steps. The detection and classification of the strawberry maturities could be identified with an accuracy of over 90% at the mature and over mature stages of the strawberries. Concurrently, the experimental results are promising, and they show that this approach can be applied to develop a machine learning model for predicting the strawberry harvesting time and can be used to provide key decision support information to both farmers and policy makers about optimal harvest times and harvest planning.