• Title/Summary/Keyword: Crop productivity

Search Result 814, Processing Time 0.031 seconds

Delineation of Rice Productivity Projected via Integration of a Crop Model with Geostationary Satellite Imagery in North Korea

  • Ng, Chi Tim;Ko, Jonghan;Yeom, Jong-min;Jeong, Seungtaek;Jeong, Gwanyong;Choi, Myungin
    • Korean Journal of Remote Sensing
    • /
    • v.35 no.1
    • /
    • pp.57-81
    • /
    • 2019

  • Satellite images can be integrated into a crop model to strengthen the advantages of each technique for crop monitoring and to compensate for weaknesses of each other, which can be systematically applied for monitoring inaccessible croplands. The objective of this study was to outline the productivity of paddy rice based on simulation of the yield of all paddy fields in North Korea, using a grid crop model combined with optical satellite imagery. The grid GRAMI-rice model was used to simulate paddy rice yields for inaccessible North Korea based on the bidirectional reflectance distribution function-adjusted vegetation indices (VIs) and the solar insolation. VIs and solar insolation for the model simulation were obtained from the Geostationary Ocean Color Imager (GOCI) and the Meteorological Imager (MI) sensors of the Communication Ocean and Meteorological Satellite (COMS). Reanalysis data of air temperature were achieved from the Korea Local Analysis and Prediction System (KLAPS). Study results showed that the yields of paddy rice were reproduced with a statistically significant range of accuracy. The regional characteristics of crops for all of the sites in North Korea were successfully defined into four clusters through a spatial analysis using the K-means clustering approach. The current study has demonstrated the potential effectiveness of characterization of crop productivity based on incorporation of a crop model with satellite images, which is a proven consistent technique for monitoring of crop productivity in inaccessible regions.

  • https://doi.org/10.7780/kjrs.2019.35.1.5 인용 PDF KSCI HTML

Production of γ-aminobutyric Acid Using the Korean Hull-less Barley Bran with Glutamate (국내산 쌀보리 맥강을 이용한 glutamate로부터 GABA 생산)

  • Lee, Mi Ja;Kim, Shin Hye;Kim, Hyung Soon;Kim, Hyun Young;Seo, Woo Duck;Choi, Sik Won;Lee, Kwang Sik;Jang, Ki Chang
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.63 no.1
    • /
    • pp.35-40
    • /
    • 2018

  • ${\gamma}$-Aminobutyric acid (GABA) has antihypertensive and anti-stress effects on humans. The present study aimed to investigate the effect of glutamate concentration, bran content, and barley cultivars on GABA production and determine the optimal reaction condition. Barley bran resulted in higher GABA productivity compared with that of rice bran. The higher the bran content, the higher was the GABA productivity. Furthermore, high glutamate concentration resulted in high GABA production. However, there was a decrease in the glutamate conversion rate. The production of GABA varied with temperature and barley cultivar. The optimal condition for GABA production using barley bran was 0.15 g/mL barley content, 10 mM glutamate concentration, and $20^{\circ}C$ reaction temperature. Under optimal condition, the GABA concentration was 10.34 mM, and glutamate conversion rate was 75.1%. Furthermore, the GABA productivity of the GABA production reaction using barley bran differed depending on the cultivar. Dasong and Yeongbaekchal showed higher GABA productivity than that by other cultivars.

  • https://doi.org/10.7740/kjcs.2018.63.1.035 인용 PDF KSCI