Ge Y - Search Results

1

Predicting total petroleum hydrocarbons in field soils with Vis-NIR models developed on laboratory-constructed samples.

Wijewardane NK, Ge Y, Sihota N, Hoelen T, Miao T, Weindorf DC. Wijewardane NK, et al. Among authors: ge y. J Environ Qual. 2020 Jul;49(4):847-857. doi: 10.1002/jeq2.20102. Epub 2020 Jun 13. J Environ Qual. 2020. PMID: 33016494

2

Rapid identification of oil-contaminated soils using visible near-infrared diffuse reflectance spectroscopy.

Chakraborty S, Weindorf DC, Morgan CL, Ge Y, Galbraith JM, Li B, Kahlon CS. Chakraborty S, et al. Among authors: ge y. J Environ Qual. 2010 Jul-Aug;39(4):1378-87. doi: 10.2134/jeq2010.0183. J Environ Qual. 2010. PMID: 20830926

3

Assessing spatial variability of soil petroleum contamination using visible near-infrared diffuse reflectance spectroscopy.

Chakraborty S, Weindorf DC, Zhu Y, Li B, Morgan CL, Ge Y, Galbraith J. Chakraborty S, et al. Among authors: ge y. J Environ Monit. 2012 Nov;14(11):2886-92. doi: 10.1039/c2em30330b. J Environ Monit. 2012. PMID: 22986574

4

Spectral data mining for rapid measurement of organic matter in unsieved moist compost.

Chakraborty S, Weindorf DC, Ali MN, Li B, Ge Y, Darilek JL. Chakraborty S, et al. Among authors: ge y. Appl Opt. 2013 Feb 1;52(4):B82-92. doi: 10.1364/AO.52.000B82. Appl Opt. 2013. PMID: 23385945

5

Early Prediction of Soybean Traits through Color and Texture Features of Canopy RGB Imagery.

Yuan W, Wijewardane NK, Jenkins S, Bai G, Ge Y, Graef GL. Yuan W, et al. Among authors: ge y. Sci Rep. 2019 Oct 1;9(1):14089. doi: 10.1038/s41598-019-50480-x. Sci Rep. 2019. PMID: 31575995 Free PMC article.

6

Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges.

Grzybowski M, Wijewardane NK, Atefi A, Ge Y, Schnable JC. Grzybowski M, et al. Among authors: ge y. Plant Commun. 2021 May 27;2(4):100209. doi: 10.1016/j.xplc.2021.100209. eCollection 2021 Jul 12. Plant Commun. 2021. PMID: 34327323 Free PMC article. Review.

7

High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion.

Zhang H, Ge Y, Xie X, Atefi A, Wijewardane NK, Thapa S. Zhang H, et al. Among authors: ge y. Plant Methods. 2022 May 3;18(1):60. doi: 10.1186/s13007-022-00892-0. Plant Methods. 2022. PMID: 35505350 Free PMC article.

8

Variation in morpho-physiological and metabolic responses to low nitrogen stress across the sorghum association panel.

Grzybowski MW, Zwiener M, Jin H, Wijewardane NK, Atefi A, Naldrett MJ, Alvarez S, Ge Y, Schnable JC. Grzybowski MW, et al. Among authors: ge y. BMC Plant Biol. 2022 Sep 9;22(1):433. doi: 10.1186/s12870-022-03823-2. BMC Plant Biol. 2022. PMID: 36076172 Free PMC article.

9

A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer.

Wijewardane NK, Zhang H, Yang J, Schnable JC, Schachtman DP, Ge Y. Wijewardane NK, et al. Among authors: ge y. J Exp Bot. 2023 Aug 3;74(14):4050-4062. doi: 10.1093/jxb/erad129. J Exp Bot. 2023. PMID: 37018460 Free PMC article.

10

High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel.

Ge Y, Atefi A, Zhang H, Miao C, Ramamurthy RK, Sigmon B, Yang J, Schnable JC. Ge Y, et al. Plant Methods. 2019 Jun 26;15:66. doi: 10.1186/s13007-019-0450-8. eCollection 2019. Plant Methods. 2019. PMID: 31391863 Free PMC article.

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