| Global warming, climate change, and environmental pollution: recipe for a multifactorial stress combination disaster SI Zandalinas, FB Fritschi, R Mittler Trends in Plant Science 26 (6), 588-599, 2021 | 844 | 2021 |
| Soybean yield prediction from UAV using multimodal data fusion and deep learning M Maimaitijiang, V Sagan, P Sidike, S Hartling, F Esposito, FB Fritschi Remote sensing of environment 237, 111599, 2020 | 772 | 2020 |
| Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine M Maimaitijiang, A Ghulam, P Sidike, S Hartling, M Maimaitiyiming, ... ISPRS Journal of Photogrammetry and Remote Sensing 134, 43-58, 2017 | 377 | 2017 |
| Meta‐analysis of drought and heat stress combination impact on crop yield and yield components I Cohen, SI Zandalinas, C Huck, FB Fritschi, R Mittler Physiologia Plantarum 171 (1), 66-76, 2021 | 332 | 2021 |
| UAV-based high resolution thermal imaging for vegetation monitoring, and plant phenotyping using ICI 8640 P, FLIR Vue Pro R 640, and thermomap cameras V Sagan, M Maimaitijiang, P Sidike, K Eblimit, KT Peterson, S Hartling, ... Remote Sensing 11 (3), 330, 2019 | 255 | 2019 |
| Jasmonic acid is required for plant acclimation to a combination of high light and heat stress D Balfagón, S Sengupta, A Gómez-Cadenas, FB Fritschi, RK Azad, ... Plant physiology 181 (4), 1668-1682, 2019 | 249 | 2019 |
| Crop monitoring using satellite/UAV data fusion and machine learning M Maimaitijiang, V Sagan, P Sidike, AM Daloye, H Erkbol, FB Fritschi Remote Sensing 12 (9), 1357, 2020 | 247 | 2020 |
| The impact of multifactorial stress combination on plant growth and survival SI Zandalinas, S Sengupta, FB Fritschi, RK Azad, R Nechushtai, R Mittler New Phytologist 230 (3), 1034-1048, 2021 | 228 | 2021 |
| Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery M Maimaitijiang, V Sagan, P Sidike, M Maimaitiyiming, S Hartling, ... ISPRS journal of photogrammetry and remote sensing 151, 27-41, 2019 | 223 | 2019 |
| Genomic mechanisms of climate adaptation in polyploid bioenergy switchgrass JT Lovell, AH MacQueen, S Mamidi, J Bonnette, J Jenkins, JD Napier, ... Nature 590 (7846), 438-444, 2021 | 203 | 2021 |
| Soybean leaf nitrogen, chlorophyll content, and chlorophyll a/b ratio FB Fritschi, JD Ray Photosynthetica 45, 92-98, 2007 | 196 | 2007 |
| Vinobot and vinoculer: Two robotic platforms for high-throughput field phenotyping A Shafiekhani, S Kadam, FB Fritschi, GN DeSouza Sensors 17 (1), 214, 2017 | 173 | 2017 |
| Signal transduction networks during stress combination SI Zandalinas, FB Fritschi, R Mittler Journal of Experimental Botany 71 (5), 1734-1741, 2020 | 167 | 2020 |
| Response of irrigated Acala and Pima cotton to nitrogen fertilization: Growth, dry matter partitioning, and yield FB Fritschi, BA Roberts, RL Travis, DW Rains, RB Hutmacher Agronomy Journal 95 (1), 133-146, 2003 | 166 | 2003 |
| Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning V Sagan, M Maimaitijiang, S Bhadra, M Maimaitiyiming, DR Brown, ... ISPRS journal of photogrammetry and remote sensing 174, 265-281, 2021 | 144 | 2021 |
| Impact of heat stress during seed development on soybean seed metabolome KK Chebrolu, FB Fritschi, S Ye, HB Krishnan, JR Smith, JD Gillman Metabolomics 12, 1-14, 2016 | 137 | 2016 |
| Genome-wide association study (GWAS) of carbon isotope ratio (δ13C) in diverse soybean [Glycine max (L.) Merr.] genotypes AP Dhanapal, JD Ray, SK Singh, V Hoyos-Villegas, JR Smith, LC Purcell, ... Theoretical and Applied Genetics 128, 73-91, 2015 | 133 | 2015 |
| Influence of large amounts of nitrogen on nonirrigated and irrigated soybean JD Ray, LG Heatherly, FB Fritschi Crop Science 46 (1), 52-60, 2006 | 124 | 2006 |
| RhizoVision crown: an integrated hardware and software platform for root crown phenotyping A Seethepalli, H Guo, X Liu, M Griffiths, H Almtarfi, Z Li, S Liu, A Zare, ... Plant Phenomics, 2020 | 107 | 2020 |
| dPEN: Deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery P Sidike, V Sagan, M Maimaitijiang, M Maimaitiyiming, N Shakoor, ... Remote sensing of environment 221, 756-772, 2019 | 105 | 2019 |
