• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.287-289
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• 2021

Smart farming education service based on network are important factors for farming sector. The lack of time and space has to lead to their limited appliance to farmers. Limited information support and low background knowledge in farming production is a lot of trial and error in farming production. Smart farming education as a service based on cloud provide the farming information that is the farming knowledge, farming skill, and farmer's experiences and knowhow, etc. And real-time information such as climate change, soil environment and market trends is very important. This paper proposes a framework for applying farming education service based on cloud. It consists of smart farming function and smart farming education function

• Korean Journal of Organic Agriculture
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• v.16 no.4
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• pp.349-366
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• 2008

The EU recently adopted the policy for organic food and farming, Even though the EU enacted a regulation for organic farming in 1991, there has been no formal policy for supporting organic farming in the EU. This may mean that the EU regards the organic food and farming as an important sector for the future of European farming. Therefore, this study firstly explores the development processes and current situation of the EU organic food and farming policy, and then summaries the priorities of the EU organic food and farming sector. These were reflected to make up an action plan and a new regulation for the EU organic food and farming. The main features of the recent change in the EU policy would be the application of comprehensive perspective for dealing with organic food and farming issues.

• Journal of Agricultural Extension & Community Development
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• v.25 no.3
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• pp.121-133
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• 2018

In South Korea, a few kinds of social farming practice are identified: care farming, labour integration, and training in farming sector. Although social farming is not a prevailing activity in rural communities, it attracts much attention from a range of actors in society. In Hongseong-gun, from a few years ago, two farms began to care and employ the mentally disabled and to train young new comers who want to grow crops in the way of organic farming. Both of them are cooperatives, which were established by the residents want to participate in. These movement has made some changes in the community. And now, it became the well-known cases of social farming as well as multi-functional agriculture. Social farming can be described as a praxis to deterritorialize the units of agricultural production and the rural community, where food empires imposed their ordering principle upon units of agricultural production in order to appropriate the value added by farming.

• Korean Journal of Organic Agriculture
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• v.19 no.spc
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• pp.74-77
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• 2011

The production practices, productivity and economic performance of organic and non-chemical rice farming were compared in Jeonnam Province, Korea. Korean organic rice farming showed a lack of use of resistant varieties and rotational cropping systems as well as less use of farm wastes and a high dependency upon external inputs. When compared with no-chemical rice production practices very little differences were found. However, organic rice farming showed 15% to 18% higher profits than no-chemical farming even though the productivity was arguably similar between the two farming types. This may encourage more farmers to convert to organic production rather than non-chemical farming as the farming practices are very similar, thereby resulting in increased supply of organic products and decreased prices for organic rice near future. There is a need to more greatly differentiate organic farming practices and products from those of no-chemical farming.

• The Korean Journal of Community Living Science
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• v.24 no.4
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• pp.553-565
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• 2013

The purpose of this study is to segment urban farming patterns and analyse the preference on urban farming by applying two-step cluster analysis, chi-square analysis and ANOVA. The data was collected by face-to-face surveys on 9 urban farms which were chosen by location and operator. Respondents were asked to describe their urban farming pattern, preference on urban farming and socio-demographic characteristics. Three different clusters were derived from two-step cluster analysis based on operator, transportation, number of visits per month, travel time, area and motive. They were 'hobby-oriented farming', 'producing-oriented farming', and 'multipurpose farming'. The results of chi-square analysis showed that there were significant differences among these three segmented groups in terms of age, with or without children aged under 14, household income per month and housing type. In other words, there is quite a possibility that urbanites have different urban farming patterns according to their socio-demographic profiles. Also, there were significant differences on the preference on urban farming by cluster. According to the results, planning directions of urban farming were presented.

• Journal of Korean Society of Rural Planning
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• v.28 no.2
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• pp.1-9
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• 2022

This study analyzed the effect of young farmers' stress on farming satisfaction and Intention to Leave the Farming. The analysis targets young people living in rural areas and engaged in agriculture among 4H members nationwide. As a result of the analysis, there were significant differences in stress of young farmers according to the characteristics of the investigator, and there were differences according to family composition and community activities. In addition, family stress and social stress showed significant results according to the type of young farmers, community activities, and economic stress according to the type and family composition of young farmers. And the stress of young farmers had a positive (+) effect on Intention to Leave the Farming, and family and social stress also had a positive (+) effect on Intention to Leave the Farming. In addition, the stress of young farmers affected farming satisfaction, and family stress and social stress also had a negative (-) effect on farming satisfaction. Therefore, efforts will be needed to improve farming satisfaction and reduce Intention to Leave the Farming by reducing stress among young farmers.

• Journal of Environmental Science International
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• v.32 no.10
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• pp.685-692
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• 2023

This study was conducted in organic and conventional farming areas to understand the activity and habitat use patterns of bats according to farming methods. A total of 521 bat sounds were recorded, of which approximately 90% sounds were of Pipistrellus abramus. The activity of bats according to farming methods was significantly higher in organic farming areas. Bat activity was the highest for approximately an hour after sunset, and gradually decreased. Buzz calls in bats were also significantly higher in organic farming areas, and buzz calls were identified only in Pipistrellus abramus. Our results suggest that the activity of bats was significantly higher in organic farming areas, and the differences in activity and habitat use of bats according to farming methods show that bats can be used as an indicator species of farming methods.

• Research in Plant Disease
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• v.11 no.2
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• pp.122-127
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• 2005

Late blight of potato caused by Phtophthora infestans is one of the most destructive disease in organic farming as well as in the conventional cultivation in Korea. Incidence and progress of the disease largely depend on climatic conditions around the fields. However, the disease completely destroys whole leaves of the plant within two weeks in organic farming fields. While, potato leaves in conventional farming fields remain healthy for 5 weeks after the first symptom appearance, because fungicides were applied four times in average to control the disease. Area under disease progress curve (AUDPC) of organic farming fields ranged from 2314 to 2421 and quickly expanded compare to that of conventional farming fields. The tuber yield in the organic farming fields ranged from 0.96 ton per 10a to 1.5 ton per 10a, while it was 2.7 ton per 10a in conventional farming fields. Tuber yields were reduced to $42\~63\%$ by the infection of late blight and the reduction rate was closely related with the time of first occurrence of the disease in organic farming fields. Physiological races of the pathogen were diversified with R0,1,3,4,5,7,10,11 in organic farming fields at Hongchun area. Pathogen races were distributed with similar pattern at different areas of organic farming fields.

• Korean Journal of Agricultural Science
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• v.11 no.2
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• pp.328-335
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• 1984

As the typical farming of the most Asian countries are of small and subsisting scale, the infrastructure is variable depending on the region and more complicated than in the industrialized countries. Except such basic statistics as acreage of farm land, farming population and production, there are no common standard methods to be used for indepth analysis on the farming status, the level of farming techniques, financial status of farming, consciousness of farmers and others. Therefore, it is necessary to develop survey models which can be commonly used to compare with different circumstances. The purpose of this report is to provide examples of survey models which are used to measure farming performances in Korea. Those are (1) Diagnosis and analysis on farming technique, labor utilization and farm income, (2) Management performance analysis, (3) Planning for farming, (4) Survey on the nutritional status of farming, (5) Survey on rural village status and planning regional agricultural development.

• Journal of Families and Better Life
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• v.18 no.3 s.47
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• pp.1-14
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• 2000

This study was to find out the status of labor division between rural husband and wife by measuring the labor time for tasks, the ratio of relative contribution toward work, and work segregation. Data used in this study were collected fro 424 persons of 212 farm households mainly cultivating rice and barley. The results of this study were as follows : 1) In the case of work directly related to farming, working hours of husband were significantly longer than those of wife during the farming and off-farming season. In contrast working hours of wife for housekeeping were significantly longer than those of husband during both seasons. 2) The ratio of relative contribution toward farming work of husband was a little higher than that of wife during farming and off-farming season. But this toward housekeeping work was less than that of wife. 3) The degree of gender segregation in farming was 0.33 during the farming season and 0.01 during the off-farming season. The kinds of work and time distribution were relatively same. The degree of gender segregation in housekeeping was 0.79 during the farming season and 0.72 during the off-farming season. These values showed inequality of work segregation in the kind of work and time distribution.