• 제목/요약/키워드: crop characteristics

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Quality characteristics of rice cultivars suitable for rice beer

  • Kim, Hyun-Joo;Park, Ji-Young;Lee, Seuk Ki;Park, Hye-Young;Cho, Donghwa;Choi, Hye Sun;Oh, Sea-Kwan
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.256-256
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    • 2017

  • The purpose of this study was to evaluate the effects of rice cultivars (Hangaru, Seolgaeng, Dasan-1 and Anda) on quality characteristics of rice beer. As for moisture content, Hangaru and Seolgaeng that are soft rice were higher than Dasan-1 and Anda as 14.48 and 14.62%, respectively. Dasan-1 and Anda showed higher protein content as compared to other varieties. As for amylose content, Hangaru turned out to be lower than other varieties as 17.71%, whereas reducing sugar content of Hangaru and Seolgaeng was higher than Dasan-1 and Anda. Results of hardness showed that Hangaru and Seolgaeng were measured lower than Dasan-1 and Anda. As a result of measuring alcohol content, pH and color of beer brewed by rice cultivars, no significant difference by cultivars was found, but measurement result of bitterness showed that beer brewed with Hangaru and Seolgaeng showed lower bitterness comparing to the beer brewed with Dasan-1 and Anda. The results of this study suggest that Hangaru and Seolgaeng are considered cultivars suitable for brewing quality of rice beer.

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CROP MANAGEMENT SYSTEM BASED ON HIGH SPATIAL RESOLUTION IMAGES

  • Kim Seong Joon;Kwon Hyung Joong;Park GeunAe;Lee Mi Seon
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.257-259
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    • 2005

  • A crop management system was developed using Visual Basic and ArcGIS VBA. The system is operated on ArcGlS 8.3 with Microsoft Access MOB. Landsat +ETM, KOMPSAT-l EOC, ASTER VNIR and IKONOS panchromatic (pan) and multi-spectral (MIS) images were included in the system to understand what kind of agriculture-related information can be extracted for each images. Agriculture related data inventories using crop cover information such as texture and average pixel value of the crop based on cultivation calendar were designed ,and implemented. Three IKONOS images (May 25,2001, December 25,2001, October 23,2003) were loaded in the system to show crop cover characteristics such as rice, pear, grape, red pepper, garlic, and surface water cover of reservoir with field surveys. GIS layers such as DEM (Digital Elevation Model), stream, road, soil, land use and administration boundary were also supplied and can be overlaid with images to enhance the understanding the general agricultural characteristics and identifying the location easily.

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