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Page 1
Improvement in Purity of Healthy Tomato Seeds Using an Image-Based One-Class Classification Method.
Sensors (Basel). 2020 May 8;20(9):2690. doi: 10.3390/s20092690.
Sensors (Basel). 2020.
PMID: 32397311
Free PMC article.
Near-infrared hyperspectral imaging for online measurement of the viability detection of naturally aged watermelon seeds.
Yasmin J, Ahmed MR, Wakholi C, Lohumi S, Mukasa P, Kim G, Kim J, Lee H, Cho BK.
Yasmin J, et al.
Front Plant Sci. 2022 Nov 7;13:986754. doi: 10.3389/fpls.2022.986754. eCollection 2022.
Front Plant Sci. 2022.
PMID: 36420027
Free PMC article.
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Classification of Watermelon Seeds Using Morphological Patterns of X-ray Imaging: A Comparison of Conventional Machine Learning and Deep Learning.
Ahmed MR, Yasmin J, Park E, Kim G, Kim MS, Wakholi C, Mo C, Cho BK.
Ahmed MR, et al. Among authors: yasmin j.
Sensors (Basel). 2020 Nov 26;20(23):6753. doi: 10.3390/s20236753.
Sensors (Basel). 2020.
PMID: 33255997
Free PMC article.
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Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy.
Yasmin J, Raju Ahmed M, Lohumi S, Wakholi C, Kim MS, Cho BK.
Yasmin J, et al.
Sensors (Basel). 2019 Mar 8;19(5):1190. doi: 10.3390/s19051190.
Sensors (Basel). 2019.
PMID: 30857184
Free PMC article.
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