• 농업기술회보
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• v.41 no.1 s.485
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• pp.8-16
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• 2004

• 사료
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• s.70
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• pp.37-40
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• 2014

• Monthly Korean Chicken
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• v.16 no.8
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• pp.96-101
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• 2010

• 농업기술회보
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• v.42 no.1 s.495
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• pp.21-24
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• 2005

• Monthly Korean Chicken
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• v.16 no.7
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• pp.95-101
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• 2010

• 월간낙농육우
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• s.173
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• pp.120-121
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• 1996

• Monthly Duck's Village
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• s.196
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• pp.41-41
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• 2019

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.377-380
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• 2006

The increasing demands of rural tourism is related to rapid industralization, mass production, increased income and developments of modern science. The movement of population from rural area to urban makes gap in economical income and cultural aspects. The purpose of this research is how to use the Korean traditional house as a space for accommodation for rural tourism.

• Journal of Environmental Science International
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• v.32 no.4
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• pp.221-232
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• 2023

This study investigated the antioxidant effect of Hermetia illucens larvae using different extraction temperatures and solvents. We found significant differences in total phenolic content (TPC), total flavonoid content (TFC), an in three antioxidant indexes 2,2-diphenyl-1-picrylhydrazyl (DPPH), 1,1'-azino-bis-3-ethylbenzothiazoline-6-sulphonic acid (ABTS), and ferric-reducing antioxidant power (FRAP) contents, among the samples depending on the extraction temperature and solvent used. The sample extracted with water at 45℃ (HIW-45℃) showed the highest TPC, DPPH, ABTS, and FRAP contents, while the sample extracted with water at 90℃ (HIW-90℃) showed the highest TFC. These differences can be due to the different chemical structures of the extracted components. Based on these results, HIW-45℃ was the optimal extraction method for Hermetia illucens. We intend to further investigate the availability of functional materials for Hermetia illucens using this method.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.243-255
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• 2016

This study aims to identify the characteristics of businesses influencing the choice of their type in the 6th industry and analyze how they work. This study analyzed data of 752 businesses certified as belonging to the 6th industry in 2015 through the classification and regression tree (CART) algorithm in decision tree analysis. The results of analysis showed that the type of agricultural product processing, region, the type of service, and the production percentage in a province affected a choice of the type. The most important variable that impacted how businesses in the 6th industry chose their type was the type of agricultural product processing, and if a business produced simple agricultural products, it was likely to specialize into $1st^*2nd$ or $1st^*3rd$. Access to large consumption areas was a critical factor in the growth of 2nd and 3rd industrial functions. These findings would contribute to establishing a model to develop the 6th industry and empirically demonstrate the importance of access to large consumption areas for agricultural businesses and rural tourism.