| Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring N Virlet, K Sabermanesh, P Sadeghi-Tehran, MJ Hawkesford Functional plant biology 44 (1), 143-153, 2016 | 421 | 2016 |
| Global wheat head detection (GWHD) dataset: A large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods E David, S Madec, P Sadeghi-Tehran, H Aasen, B Zheng, S Liu, ... Plant Phenomics, 2020 | 236 | 2020 |
| DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks P Sadeghi-Tehran, N Virlet, EM Ampe, P Reyns, MJ Hawkesford Frontiers in plant science 10, 1176, 2019 | 141 | 2019 |
| Automated method to determine two critical growth stages of wheat: heading and flowering P Sadeghi-Tehran, K Sabermanesh, N Virlet, MJ Hawkesford Frontiers in Plant Science 8, 252, 2017 | 136 | 2017 |
| An approach to automatic real‐time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi–Sugeno … P Angelov, P Sadeghi‐Tehran, R Ramezani International Journal of Intelligent Systems 26 (3), 189-205, 2011 | 66 | 2011 |
| Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping P Sadeghi-Tehran, N Virlet, K Sabermanesh, MJ Hawkesford Plant methods 13, 1-16, 2017 | 64 | 2017 |
| Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform DH Lyra, N Virlet, P Sadeghi-Tehran, KL Hassall, LU Wingen, S Orford, ... Journal of Experimental Botany 71 (6), 1885-1898, 2020 | 42 | 2020 |
| Self-evolving parameter-free rule-based controller P Sadeghi-Tehran, AB Cara, P Angelov, H Pomares, I Rojas, A Prieto 2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012 | 37 | 2012 |
| Scalable database indexing and fast image retrieval based on deep learning and hierarchically nested structure applied to remote sensing and plant biology P Sadeghi-Tehran, P Angelov, N Virlet, MJ Hawkesford Journal of Imaging 5 (3), 33, 2019 | 36 | 2019 |
| AURORA: autonomous real-time on-board video analytics P Angelov, P Sadeghi-Tehran, C Clarke Neural Computing and Applications 28, 855-865, 2017 | 23 | 2017 |
| A real-time approach for autonomous detection and tracking of moving objects from UAV P Sadeghi-Tehran, C Clarke, P Angelov 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), 43-49, 2014 | 21 | 2014 |
| A neural network method for classification of sunlit and shaded components of wheat canopies in the field using high-resolution hyperspectral imagery P Sadeghi-Tehran, N Virlet, MJ Hawkesford Remote Sensing 13 (5), 898, 2021 | 19 | 2021 |
| Online self-evolving fuzzy controller for autonomous mobile robots P Sadeghi-Tehran, P Angelov 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS), 100-107, 2011 | 18 | 2011 |
| A real-time approach to autonomous novelty detection and object tracking in video stream P Angelov, P Sadeghi-Tehran, R Ramezani International Journal of Intelligent Systems 26 (3), 189-205, 2011 | 14 | 2011 |
| A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems P Sadeghi-Tehran, P Angelov 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 108-113, 2012 | 13 | 2012 |
| Look‐a‐like: a fast content‐based image retrieval approach using a hierarchically nested dynamically evolving image clouds and recursive local data density P Angelov, P Sadeghi‐Tehran International Journal of Intelligent Systems 32 (1), 82-103, 2017 | 11 | 2017 |
| ARTOT: Autonomous real-Time object detection and tracking by a moving camera P Angelov, C Gude, P Sadeghi-Tehran, T Ivanov 2012 6th IEEE International Conference Intelligent Systems, 446-452, 2012 | 11 | 2012 |
| Global wheat head dataset 2021: An update to improve the benchmarking wheat head localization with more diversity E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ... CoRR, 2021 | 8 | 2021 |
| Machine learning methods for automatic segmentation of images of field-and glasshouse-based plants for high-throughput phenotyping FG Okyere, D Cudjoe, P Sadeghi-Tehran, N Virlet, AB Riche, M Castle, ... Plants 12 (10), 2035, 2023 | 7 | 2023 |
| Time‐intensive geoelectrical monitoring under winter wheat G Blanchy, N Virlet, P Sadeghi‐Tehran, CW Watts, MJ Hawkesford, ... Near Surface Geophysics 18 (Geoelectrical Monitoring), 413-425, 2020 | 7 | 2020 |
