Spectroscopy and Spectral Analysis, Volume. 40, Issue 11, 3508(2020)
Effect of Near Infrared Hyperspectral Imaging Scanning Speed on Prediction of Water Content in Arabidopsis
Fig. 1. RGB images of Arabidopsis phenotypes
(a)—(f): Col-0 ecotype on 0~5 days of drought stress;(g)—(l): OSCA1 mutant genotypes on 0~5 days of drought stress
Fig. 2. The relationship between water content of
Gray color represents Col-1 and white color represents OSCA1; Changes are represented by the mean±standard deviation; * and ** represent the degree of significant differences based on Duncan test (* represents 0.03<
Fig. 4. PLSR model results for different moving speeds with full spectra
(a): 20 mm·s-1; (b): 30 mm·s-1; (c): 40 mm·s-1
Fig. 5. The variation of spatial resolution caused by different scanning speed
(a): 20 mm·s-1; (b): 30 mm·s-1; (c): 40 mm·s-1
Fig. 6. The performance of PLSR models of different scanning speed based on optimal wavelengths
(a): 20 mm·s-1; (b): 30 mm·s-1; (c): 40 mm·s-1
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Meng-qi LÜ, Yu-jie SONG, Hai-yong WENG, Da-wei SUN, Xiao-ya DONG, Hui FANG, Hai-yan CEN. Effect of Near Infrared Hyperspectral Imaging Scanning Speed on Prediction of Water Content in Arabidopsis[J]. Spectroscopy and Spectral Analysis, 2020, 40(11): 3508
Category: Research Articles
Received: Oct. 8, 2019
Accepted: --
Published Online: Jun. 18, 2021
The Author Email: LÜ Meng-qi (3160101113@zju.edu.cn)