• Title/Summary/Keyword: 정시춘

Search Result 12, Processing Time 0.02 seconds

Automatic Titration Using PC Camera in Volatile Basic Nitrogen Analysis by Microdiffusion Method (미량확산법에 의한 휘발성염기질소 분석에서 PC카메라를 이용한 자동적정)

  • Lee, Hyeong-Choon
    • Journal of the Korean Society of Food Science and Nutrition
    • /
    • v.34 no.1
    • /
    • pp.135-137
    • /
    • 2005
  • A PC-based automatic system was developed for automatic titration in volatile basic nitrogen analysis by the microdiffusion method. The system used a CCD-type PC camera for the automatic detection of the titration end point. The camera checked whether the green value of a pixel on the red image of titrated solution became greater than the red value. The data from the automatic titration using the system were not significantly different (p>0.05) from those taken by manual titration. The agreement between means of data from manual titration and those from automatic titration was good.

Comparison Between Methods for Suitability Classification of Wild Edible Greens (산채류 재배적지 기준설정 방법 간의 비교 분석)

  • Hyun, Byung-Keun;Jung, Sug-Jae;Sonn, Yeon-Kyu;Park, Chan-Won;Zhang, Young-Seon;Song, Kwan-Cheol;Kim, Lee-Hyun;Choi, Eun-Young;Hong, Suk-Young;Kwon, Sun-Ik;Jang, Byoung-Choon
    • Korean Journal of Soil Science and Fertilizer
    • /
    • v.43 no.5
    • /
    • pp.696-704
    • /
    • 2010
  • The objective of this study was analysis of two methods of land suitability classification for wild edible green. One method was Maximum limiting factor method (MLFM) and the other was Multi-regression method (MRM) for land suitability classification for wild edible green. The investigation was carried out in Pyeongchang, Hongcheong, Hoeingseong, and Yanggu regions in Korea. The obtained results showed that factors related to the decision classification of the land suitability for wild edible green cultivation were land slope, altitude, soil morphology and gravel contents so on. The classification of the best suitability soil for wild edible greens were fine loamy (silty), valley or fan of soil morphology, well drainage class, B-slope (2~7%), available soil depth deeper than 100cm, and altitude higher than 501m. Contribution of soil that influence to crop yields using Multi-regression method were slope 0.30, altitude 0.22, soil morphology 0.13, drainage classes 0.09, available soil depth 0.07, and soil texture 0.01 orders. Using MLFM, area of best suitable land was 0.2%, suitable soil 15.0%, possible soil 16.7%, and low productive soil 68.0% in Hongcheon region of Gangwon province. But, area of best suitable land was 35.1%, suitable soil 30.7%, possible soil 10.3%, and low productive soil 23.9% by MRM. There was big difference of suitable soil area between two methods (MLFM and MRM). When decision classificatin of the land suitability for wild edible green cultivation should consider enough analysis methods. Furthermore, to establishment of land suitability classification for crop would be better use MRM than MLFM.