Intra-season crop height variability at commercial farm scales using a fixed-wing UAV MG Ziliani, SD Parkes, I Hoteit, MF McCabe Remote Sensing 10 (12), 2007, 2018 | 85 | 2018 |
Predicting biomass and yield in a tomato phenotyping experiment using UAV imagery and random forest K Johansen, MJL Morton, Y Malbeteau, B Aragon, S Al-Mashharawi, ... Frontiers in Artificial Intelligence 3, 28, 2020 | 63 | 2020 |
Unmanned aerial vehicle-based phenotyping using morphometric and spectral analysis can quantify responses of wild tomato plants to salinity stress K Johansen, MJL Morton, YM Malbeteau, B Aragon, SK Al-Mashharawi, ... Frontiers in Plant Science 10, 449457, 2019 | 61 | 2019 |
Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model MG Ziliani, MU Altaf, B Aragon, R Houborg, TE Franz, Y Lu, J Sheffield, ... Agricultural and forest meteorology 313, 108736, 2022 | 49 | 2022 |
The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield TE Franz, S Pokal, JP Gibson, Y Zhou, H Gholizadeh, FA Tenorio, ... Field Crops Research 252, 107788, 2020 | 47 | 2020 |
Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model Y Lu, TP Chibarabada, MG Ziliani, JMK Onema, MF McCabe, J Sheffield Agricultural Water Management 252, 106884, 2021 | 38 | 2021 |
Enhanced flood forecasting through ensemble data assimilation and joint state-parameter estimation MG Ziliani, R Ghostine, B Ait-El-Fquih, MF McCabe, I Hoteit Journal of Hydrology 577, 123924, 2019 | 33 | 2019 |
CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions B Aragon, MG Ziliani, R Houborg, TE Franz, MF McCabe Scientific reports 11 (1), 12131, 2021 | 23 | 2021 |
CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals K Johansen, MG Ziliani, R Houborg, TE Franz, MF McCabe Scientific reports 12 (1), 5244, 2022 | 20 | 2022 |
Combining nadir, oblique, and façade imagery enhances reconstruction of rock formations using unmanned aerial vehicles YH Tu, K Johansen, B Aragon, BM Stutsel, Y Ángel, OAL Camargo, ... IEEE Transactions on Geoscience and Remote Sensing 59 (12), 9987-9999, 2021 | 18 | 2021 |
Predicting biomass and yield at harvest of salt-stressed tomato plants using UAV imagery K Johansen, MJL Morton, Y Malbeteau, BJL Aragon Solorio, ... Copernicus GmbH, 2019 | 16 | 2019 |
Corn-Yield Estimation through Assimilation of Remotely Sensed LAI Data into APSIM MG Ziliani, A Ershadi, B Zheng, B Ait-El-Fquih, MU Altaf, B Aragon, I Hoteit, ... AGU Fall Meeting Abstracts 2018, GC43I-1653, 2018 | 3 | 2018 |
Revisiting the spatial scale effects on remotely sensed evaporation B Aragon, MG Ziliani, MF McCabe 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6579 …, 2021 | 2 | 2021 |
Thermal infrared earth observation for operational irrigation management F Werner, M Ziliani, A Abello EGU General Assembly Conference Abstracts, EGU-15023, 2023 | | 2023 |
Toward high resolution and daily thermal infrared measurements for agricultural water management MG Ziliani, F Werner, A Abelló EGU General Assembly Conference Abstracts, EGU-16403, 2023 | | 2023 |
Solanum pimpinellifolium input data collected from the TPA-used for GWAS M Morton, G Fiene, H Ahmed, E Rey, M Abrouk, Y Angel, K Johansen, ... Zenodo, 2023 | | 2023 |
Deciphering Salt Stress Responses in Solanum pimpinellifolium through High-Throughput Phenotyping. MM Morton, G Fiene, HI Ahmed, E Rey, M Abrouk, Y Angel, K Johansen, ... bioRxiv, 2023.08. 15.553433, 2023 | | 2023 |
Corn yield prediction: from sub-field to regional level M Ziliani, B Changaival, A Abelló AGU Fall Meeting Abstracts 2022, B43B-03, 2022 | | 2022 |
Intra-field crop yield variability by assimilating cubesat lai in the apsim crop model MG Ziliani, MU Altaf, B Aragon, R Houborg, TE Franz, Y Lu, J Sheffield, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | | 2022 |
Improving Crop Yield Predictions By Combining Crop Models And High-Resolution Remote Sensing Technologies M U Altaf, I Hoteit, M F McCabe, M Ziliani | | 2022 |