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Detecting Drought Stress in Soybean Plants Using Hyperspectral Fluorescence Imaging
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | 바이오시스템공학 = Journal of biosystems engineering |
| ISSN | 1738-1266, |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | Mo, Changyeun,Kim, Moon S.,Kim, Giyoung,Cheong, Eun Ju,Yang, Jinyoung,Lim, Jongguk |
|---|---|
| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2015-01-01 |
| 초록 | Purpose: Soybean growth is adversely affected by environmental stresses such as drought, extreme temperatures, and nutrient deficiency. The objective of this study was to develop a method for rapid measurement of drought stress in soybean plants using a hyperspectral fluorescence imaging technique. Methods: Hyperspectral fluorescence images were obtained using UV-A light with 365 nm excitation. Two soybean cultivars under drought stress were analyzed. A partial least square regression (PLSR) model was used to predict drought stress in soybeans. Results: Partial least square (PLS) images were obtained for the two soybean cultivars using the results of the developed model during the period of drought stress treatment. Analysis of the PLS images showed that the accuracy of drought stress discrimination in the two cultivars was 0.973 for an 8-day treatment group and 0.969 for a 6-day treatment group. Conclusions: These results validate the use of hyperspectral fluorescence images for assessing drought stress in soybeans. |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=JAKO201501255363615 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
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| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) | Detection,Drought stress,Fluorescence,Imaging,Soybean plant |