| Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors A Cardellicchio, F Solimani, G Dimauro, A Petrozza, S Summerer, ... Computers and Electronics in Agriculture 207, 107757, 2023 | 57 | 2023 |
| Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity F Solimani, A Cardellicchio, G Dimauro, A Petrozza, S Summerer, ... Computers and Electronics in Agriculture 218, 108728, 2024 | 13 | 2024 |
| A systematic review of effective hardware and software factors affecting high-throughput plant phenotyping F Solimani, A Cardellicchio, M Nitti, A Lako, G Dimauro, V Renò Information 14 (4), 214, 2023 | 7 | 2023 |
| Patch-based probabilistic identification of plant roots using convolutional neural networks A Cardellicchio, F Solimani, G Dimauro, S Summerer, V Renò Pattern Recognition Letters 183, 125-132, 2024 | | 2024 |
| Influence of the nozzle type, air-assisted velocity, and wind velocity on the measurements of spray drift potential of boom sprayers F Solimani, M Rahnama, MA Asoodar, MGN Raini, MA Hormozi Agricultural Engineering International: CIGR Journal 24 (2), 2022 | | 2022 |
| A compact, low-cost and portable hardware/software system for 3D plant phenotyping GDMN V. Renò, A. Petrozza, S. Summerer, F. Cellini, F. Solimani The 7th International Plant Phenotyping Symposium IPPS2022, 2022 | | 2022 |
