Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors. - Angelo Cardellicchio; Firozeh Solimani; Giovanni Dimauro; Angelo Petrozza; Stephan Summerer; Francesco Cellini; Vito Renò (Comput. Electron. Agric., 2023)

A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping. - Firozeh Solimani; Angelo Cardellicchio; Massimiliano Nitti; Alfred Lako; Giovanni Dimauro; Vito Renò (Inf., 2023)

Enhancing Small Object Detection in the YOLOv8 model: A Comprehensive Analysis of the Optimized Model Head Adaptations. - Firozeh Solimani; Angelo Cardellicchio; Giovanni Dimauro; Alba Mininni; Maria Calabritto; Roberto Di Biase; Angelo Petrozza; Stephan Summerer; Francesco Cellini; Vito Renò (CASE, 2024)

Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity. - Firozeh Solimani; Angelo Cardellicchio; Giovanni Dimauro; Angelo Petrozza; Stephan Summerer; Francesco Cellini; Vito Renò (Comput. Electron. Agric., 2024)

Patch-based probabilistic identification of plant roots using convolutional neural networks. - Angelo Cardellicchio; Firozeh Solimani; Giovanni Dimauro; Stephan Summerer; Vito Renò (Pattern Recognit. Lett., 2024)