| Remote sensing of soil properties in precision agriculture: A review Y Ge, JA Thomasson, R Sui Frontiers of Earth Science 5, 229-238, 2011 | 311 | 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 | 298 | 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 | 268 | 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 | 258 | 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 | 170 | 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 | 153 | 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 | 124 | 2011 |
| 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 | 121 | 2018 |
| 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 | 120 | 2014 |
| 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 | 114 | 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 | 114 | 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 | 111 | 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 | 110 | 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 | 106 | 2019 |
| 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 | 97 | 2016 |
| 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 | 96 | 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 | 94 | 2022 |
| 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 | 94 | 2017 |
| 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 | 94 | 2011 |
| 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 | 88 | 2019 |
J A ThomassonMississippi State University在 abe.msstate.edu 的电子邮件经过验证
