Yufeng Ge
Yufeng Ge
University of Nebraka-Lincoln
Adresă de e-mail confirmată pe unl.edu
Citat de
Citat de
Remote sensing of soil properties in precision agriculture: A review
Y Ge, JA Thomasson, R Sui
Frontiers of Earth Science 5, 229-238, 2011
Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imaging
Y Ge, G Bai, V Stoerger, JC Schnable
Computers and Electronics in Agriculture 127, 625-632, 2016
A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding
G Bai, Y Ge, W Hussain, PS Baenziger, G Graef
Computers and Electronics in Agriculture 128, 181-192, 2016
High throughput in vivo analysis of plant leaf chemical properties using hyperspectral imaging
P Pandey, Y Ge, V Stoerger, JC Schnable
Frontiers in plant science 8, 259439, 2017
Genetic diversity and population structure of a Camelina sativa spring panel
Z Luo, J Brock, JM Dyer, T Kutchan, D Schachtman, M Augustin, Y Ge, ...
Frontiers in plant science 10, 425924, 2019
High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel
Y Ge, A Atefi, H Zhang, C Miao, RK Ramamurthy, B Sigmon, J Yang, ...
Plant methods 15, 1-12, 2019
Comparison of soil reflectance spectra and calibration models obtained using multiple spectrometers
Y Ge, CLS Morgan, S Grunwald, DJ Brown, DV Sarkhot
Geoderma 161 (3-4), 202-211, 2011
VisNIR spectra of dried ground soils predict properties of soils scanned moist and intact
Y Ge, CLS Morgan, JP Ackerson
Geoderma 221, 61-69, 2014
A novel LiDAR-based instrument for high-throughput, 3D measurement of morphological traits in maize and sorghum
S Thapa, F Zhu, H Walia, H Yu, Y Ge
Sensors 18 (4), 1187, 2018
Moisture insensitive prediction of soil properties from VNIR reflectance spectra based on external parameter orthogonalization
NK Wijewardane, Y Ge, CLS Morgan
Geoderma 267, 92-101, 2016
Rapid identification of oil‐contaminated soils using visible near‐infrared diffuse reflectance spectroscopy
S Chakraborty, DC Weindorf, CLS Morgan, Y Ge, JM Galbraith, B Li, ...
Journal of environmental quality 39 (4), 1378-1387, 2010
Wheat height estimation using LiDAR in comparison to ultrasonic sensor and UAS
W Yuan, J Li, M Bhatta, Y Shi, PS Baenziger, Y Ge
Sensors 18 (11), 3731, 2018
Predicting physical and chemical properties of US soils with a mid‐infrared reflectance spectral library
NK Wijewardane, Y Ge, S Wills, Z Libohova
Soil Science Society of America Journal 82 (3), 722-731, 2018
NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and agronomic research
G Bai, Y Ge, D Scoby, B Leavitt, V Stoerger, N Kirchgessner, S Irmak, ...
Computers and Electronics in Agriculture 160, 71-81, 2019
Review of the cultivation program within the National Alliance for Advanced Biofuels and Bioproducts
PJ Lammers, M Huesemann, W Boeing, DB Anderson, RG Arnold, X Bai, ...
Algal research 22, 166-186, 2017
Prediction of soil carbon in the conterminous United States: visible and near infrared reflectance spectroscopy analysis of the rapid carbon assessment project
NK Wijewardane, Y Ge, S Wills, T Loecke
Soil Science Society of America Journal 80 (4), 973-982, 2016
Comparison and detection of total and available soil carbon fractions using visible/near infrared diffuse reflectance spectroscopy
DV Sarkhot, S Grunwald, Y Ge, CLS Morgan
Geoderma 164 (1-2), 22-32, 2011
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
S Wang, K Guan, C Zhang, DK Lee, AJ Margenot, Y Ge, J Peng, W Zhou, ...
Remote Sensing of Environment 271, 112914, 2022
Ag-IoT for crop and environment monitoring: Past, present, and future
N Chamara, MD Islam, GF Bai, Y Shi, Y Ge
Agricultural systems 203, 103497, 2022
Numerical analysis and validation of spray distributions disturbed by quad-rotor drone wake at different flight speeds
S Wen, J Han, Z Ning, Y Lan, X Yin, J Zhang, Y Ge
Computers and Electronics in Agriculture 166, 105036, 2019
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