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), 66, 2019 | 159 | 2019 |
Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives A Atefi, Y Ge, S Pitla, J Schnable Frontiers in Plant Science 12, 1082, 2021 | 85 | 2021 |
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion H Zhang, Y Ge, X Xie, A Atefi, NK Wijewardane, S Thapa Plant Methods 18 (1), 1-17, 2022 | 69 | 2022 |
Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: progress and challenges M Grzybowski, NK Wijewardane, A Atefi, Y Ge, JC Schnable Plant Communications, 100209, 2021 | 41 | 2021 |
In vivo human-like robotic phenotyping of leaf traits in maize and sorghum in greenhouse A Atefi, Y Ge, S Pitla, J Schnable Computers and Electronics in Agriculture 163, 104854, 2019 | 38 | 2019 |
Robotic Detection and Grasp of Maize and Sorghum: Stem Measurement with Contact A Atefi, Y Ge, S Pitla, J Schnable Robotics 9 (3), 58, 2020 | 21 | 2020 |
Variation in morpho-physiological and metabolic responses to low nitrogen stress across the sorghum association panel MW Grzybowski, M Zwiener, H Jin, NK Wijewardane, A Atefi, MJ Naldrett, ... BMC Plant Biology 22 (1), 1-14, 2022 | 7 | 2022 |