• Title/Summary/Keyword: 작물분석

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Development of an Official Method for Measurement of Fluazinam Residues for Quarantine of Imported and Exported Horticultural Products (수출입 원예작물의 검역을 위한 살균제 Fluazinam의 공정 잔류분석법 개발)

  • Kim, Gyeong-Ha;Ahn, Kyung-Geun;Kim, Gi-Ppeum;Hwang, Young-Sun;Chang, Moon-Ik;Kang, In-Kyu;Lee, Young Deuk;Choung, Myoung-Gun
    • Horticultural Science & Technology
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    • v.34 no.1
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    • pp.183-194
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    • 2016

  • This experiment was conducted to establish an official determination method to measure fluazinam residue in horticultural crops for import and export using GC-ECD/MS. Fluazinam residue was extracted with acetone from fresh samples of four representative horticultural products, the vegetable crops green pepper and kimchi cabbage, and the fruit crops mandarin and apple. The acetone extract was diluted with saline water and n -hexane partitioning was used to recover fluazinam from the aqueous phase. Florisil column chromatography was additionally employed for final purification of the extract. Fluazinam was separated and quantitated by GC with ECD using a DB-17 capillary column. The horticultural crops were fortified with three different concentrations of fluazinam. Mean recoveries ranged from 82.5% to 99.9% in the four crops. The coefficients of variation were less than 10.0%. The quantitative limit of fluazinam detection was $0.004mg{\cdot}kg^{-1}$ in the four crop samples. GC/MS with selected-ion monitoring was also used to confirm the suspected residue. This analytical method was reproducible and sensitive enough to measure the residue of fluazinam in horticultural commodities for import and export.

  • https://doi.org/10.12972/kjhst.20160008 인용 PDF KSCI

Crop color analysis method Using RHS color chart (RHS 칼라 차트를 이용한 작물 색채분석 방법)

  • Kim, Byoungjun;Park, Keunho;Choi, Kangin;Kim, Seonhyeong;Ahn, Hyung-geun;Jeong, Sunghwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.364-366
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    • 2021

  • 본 논문은 비전 기술을 기반으로 RHS 칼라차트를 이용하여 작물의 색채를 측정하는 특성조사기준에 관한 연구를 수행하였다. 다양한 색상을 가진 작물의 색채를 측정하기 위해 시료 채취 후 표준광원 촬영장치 광원 6500K 환경하에 촬영한 영상을 기반으로 분석 위치를 관심영역 선정 후, k-mean clustering을 활용한 세그먼테이션 방법을 통해 대표 RGB 색상을 획득한다. 획득한 RGB 색상과 RHS 칼라차트의 RGB 색상을 유클리디언 거리를 이용하여 최소화하는 RHS 칼라차트 정보를 추정하였다. 7가지 작물 시료에 대해 작물 형질 분석 전문가들이 측정한 결과와 비교 시 전체 평균 △E 5.013의 오차를 결과로 도출하였다.

  • https://doi.org/10.3745/PKIPS.y2021m11a.364 인용 PDF