An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions. - Ander Zuazo; Jordi Grinyó; Vanesa López-Vázquez; Erik Rodríguez; Corrado Costa; Luciano Ortenzi; Sascha Flögel; Javier Valencia; Simone Marini; Guosong Zhang; Henning Wehde; Jacopo Aguzzi (Sensors, 2020)

A Machine Vision Rapid Method to Determine the Ripeness Degree of Olive Lots. - Luciano Ortenzi; Simone Figorilli; Corrado Costa; Federico Pallottino; Simona Violino; Mauro Pagano; Giancarlo Imperi; Rossella Manganiello; Barbara Lanza; Francesca Antonucci (Sensors, 2021)

Advantages in Using Colour Calibration for Orthophoto Reconstruction. - Francesco Tocci; Simone Figorilli; Simone Vasta; Simona Violino; Federico Pallottino; Luciano Ortenzi; Corrado Costa (Sensors, 2022)

Artificial Intelligence approaches for fast and portable traceability assessment of EVOO. - Luciano Ortenzi; Simone Figorilli; Simona Violino; Federico Pallottino; Corrado Costa (COINS, 2023)

Automated Prototype for Bombyx mori Cocoon Sorting Attempts to Improve Silk Quality and Production Efficiency through Multi-Step Approach and Machine Learning Algorithms. - Simone Vasta; Simone Figorilli; Luciano Ortenzi; Simona Violino; Corrado Costa; Lavinia Moscovini; Francesco Tocci; Federico Pallottino; Alberto Assirelli; Alessio Saviane; Silvia Cappellozza (Sensors, 2023)

Automated species classification and counting by deep-sea mobile crawler platforms using YOLO. - Luciano Ortenzi; Jacopo Aguzzi; Corrado Costa; Simone Marini; Daniele D'Agostino; Laurenz Thomsen; Fabio C. De Leo; Paulo V. Correa; Damianos Chatzievangelou (Ecol. Informatics, 2024)

An open-source machine-learning application for predicting pixel-to-pixel NDVI regression from RGB calibrated images. - Lavinia Moscovini; Luciano Ortenzi; Federico Pallottino; Simone Figorilli; Simona Violino; Catello Pane; Valerio Capparella; Simone Vasta; Corrado Costa (Comput. Electron. Agric., 2024)

Real-Time AI-Assisted Push-Broom Hyperspectral System for Precision Agriculture. - Igor Neri; Silvia Caponi; Francesco Bonacci; Giacomo Clementi; Francesco Cottone; Luca Gammaitoni; Simone Figorilli; Luciano Ortenzi; Simone Aisa; Federico Pallottino; Maurizio Mattarelli (Sensors, 2024)

Deep Learning Classification of Blackcurrant Genotypes by Ploidy Levels on Stomata Microscopic Images. - Aleksandra Konopka; Karol Struniawski; Ryszard Kozera; Luciano Ortenzi; Agnieszka Marasek-Ciolakowska; Aleksandra Machlanska (ICCS (Workshops 3), 2025)

VIE-Net: Regressive U-Net for Vegetation Index Estimation. - Valerio Capparella; Eugenio Nerio Nemmi; Simona Violino; Corrado Costa; Simone Figorilli; Lavinia Moscovini; Federico Pallottino; Catello Pane; Alessandro Mei; Luciano Ortenzi (IEEE Access, 2025)

Applications and perspectives of Generative Artificial Intelligence in agriculture. - Federico Pallottino; Simona Violino; Simone Figorilli; Catello Pane; Jacopo Aguzzi; Giacomo Colle; Eugenio Nerio Nemmi; Alessandro Montaghi; Damianos Chatzievangelou; Francesca Antonucci; Lavinia Moscovini; Alessandro Mei; et al. (Comput. Electron. Agric., 2025)