Ge Y - Search Results

1

Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery.

Li J, Veeranampalayam-Sivakumar AN, Bhatta M, Garst ND, Stoll H, Stephen Baenziger P, Belamkar V, Howard R, Ge Y, Shi Y. Li J, et al. Among authors: ge y. Plant Methods. 2019 Nov 1;15:123. doi: 10.1186/s13007-019-0508-7. eCollection 2019. Plant Methods. 2019. PMID: 31695728 Free PMC article.

2

High Throughput In vivo Analysis of Plant Leaf Chemical Properties Using Hyperspectral Imaging.

Pandey P, Ge Y, Stoerger V, Schnable JC. Pandey P, et al. Among authors: ge y. Front Plant Sci. 2017 Aug 3;8:1348. doi: 10.3389/fpls.2017.01348. eCollection 2017. Front Plant Sci. 2017. PMID: 28824683 Free PMC article.

3

Field-Based Scoring of Soybean Iron Deficiency Chlorosis Using RGB Imaging and Statistical Learning.

Bai G, Jenkins S, Yuan W, Graef GL, Ge Y. Bai G, et al. Among authors: ge y. Front Plant Sci. 2018 Jul 11;9:1002. doi: 10.3389/fpls.2018.01002. eCollection 2018. Front Plant Sci. 2018. PMID: 30050552 Free PMC article.

4

Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS.

Yuan W, Li J, Bhatta M, Shi Y, Baenziger PS, Ge Y. Yuan W, et al. Among authors: ge y. Sensors (Basel). 2018 Nov 2;18(11):3731. doi: 10.3390/s18113731. Sensors (Basel). 2018. PMID: 30400154 Free PMC article.

5

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.

6

PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits.

Sandhu J, Zhu F, Paul P, Gao T, Dhatt BK, Ge Y, Staswick P, Yu H, Walia H. Sandhu J, et al. Among authors: ge y. Plant Methods. 2019 Dec 27;15:162. doi: 10.1186/s13007-019-0545-2. eCollection 2019. Plant Methods. 2019. PMID: 31889986 Free PMC article.

7

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.

8

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.

9

Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography.

Wu J, Wen S, Lan Y, Yin X, Zhang J, Ge Y. Wu J, et al. Among authors: ge y. Plant Methods. 2022 Dec 8;18(1):129. doi: 10.1186/s13007-022-00966-z. Plant Methods. 2022. PMID: 36482426 Free PMC article.

10

Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models.

Bai G, Koehler-Cole K, Scoby D, Thapa VR, Basche A, Ge Y. Bai G, et al. Among authors: ge y. Front Plant Sci. 2024 Jan 8;14:1277672. doi: 10.3389/fpls.2023.1277672. eCollection 2023. Front Plant Sci. 2024. PMID: 38259938 Free PMC article.

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