DIGIFRUIT - Project results

• Javier Guevara, Jordi Gené-Mola, Eduard Gregorio, Fernando A. Auat Cheein. 2024. A systematic analysis of scan matching techniques for localization in dense orchards. Smart Agricultural Technology, 9, 100607.  DOI: https://doi.org/10.1016/j.atech.2024.100607
• Bernat Lavaquiol-Colell, Alexandre Escolà, Ricardo Sanz-Cortiella, Jaume Arnó, Jordi Gené-Mola, Eduard Gregorio,  Joan R. Rosell-Polo,  Jérôme  Ninot, Jordi Llorens-Calveras. 2025. A methodology for the realistic assessment of 3D point clouds of fruit trees in full 3D context. Computers and Electronics in Agriculture, 232, 110082. DOI: https://doi.org/10.1016/j.compag.2025.110082
•  Juan C. Miranda, Jaume Arnó, Jordi Gené-Mola, Jaume Lordan, Luis Asín, Eduard Gregorio. 2023. Assessing automatic data processing algorithms for RGB-D cameras to predict fruit size and weight in apples. Computers and Electronics in Agriculture, 214, 108302. DOI: https://doi.org/10.1016/j.compag.2023.108302
• Marc Felip-Pomés, Jordi Gené-Mola, Jaume Arnó, Jaume Lordan, Javier Ruiz-Hidalgo, Josep-Ramon Morros, Francesc Net-Barnés, Eduard Gregorio. Video-Based Fruit Detection and Tracking: Effects of Scanning Conditions on Counting and Mapping Accuracy. Computers and Electronics in Agriculture. Under review

• Gregorio-López, T. Pallejà-Cabré, M. Felip-Pomés, R. Sanz-Cortiella, B. Lanza, M. Tresanchez-Ribes, A. Escolà, J.M. Plata-Moreno, J.A. Martínez-Casasnovas, J. Gené-Mola. Performance assessment of low-cost LiDAR-based sensors and RGB-D cameras in fruit orchards. Precision agriculture '25, pp 509-516, DOI: https://doi.org/10.1163/9789004725232_066
• Eduard Gregorio, Marc Felip-Pomés, José A. Martínez-Casasnovas, Jordi Llorens-Calveras, Ricardo Sanz-Cortiella, José M. Plata-Moreno, Jaume Lordan, Alexandre Escolà, Jordi Gené-Mola. 2025. 3D fruit orchard reconstruction and geometric parameter estimation using LiDAR-based SLAM SystemsN. Proc. SPIE 13666, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVII, 136661V (30 October 2025), https://doi.org/10.1117/12.3085863
• Bernardo Lanza, Marc Felip-Pomés, Jordi Gené-Mola, Cristina Nuzzi, Ricardo Sanz-Cortiella, Simone Pasinetti, José M. Plata-Moreno, José A. Martínez-Casasnovas, Alexandre Escolà-Agustí, Jaume Lordan-Sanahuja, Eduard Gregorio-López. Metrological Assessment of RGB-D Cameras for 3D Orchard Reconstruction. Proceedings of the 2024 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Padua, Italy, 2024, pp. 462-467, https://doi.org/10.1109/MetroAgriFor63043.2024.10948776
• Eduard Gregorio-López. Low-cost Orchard Monitoring Systems Using Photonic Sensors. Keynote speak. Innovative Agricultural Technologies Congress (IAT Congress'25). 15-19 October 2025, Antalya, Türkiye. Technical session presented at the University of Lleida, ETSEAFiV Auditorium, Lleida (Spain), September 22, 2025. Organized by the Research Group in Agri-ICT and Precision Agriculture (GRAP) of the University of Lleida.

• Flores Junqué, A. Monitoratge intel·ligent de plantacions fructícoles amb sensors fotònics de baix cost per a l’optimització agrícola. Master Thesis in Industrial Engineering. Universitat de Lleida. Supervisor: E. Gregorio.
• Segura Paz, A. Reconstrucció 3D de plantacions d’arbres fruiters amb sensors fotònics de baix cost. Final Degree Project in Computer Engineering. Universitat de Lleida. Supervisors: E. Gregorio & J.Planes.
• Miranda, Juan C. Open source software and benchmarking of computer vision algorithms for apple fruit detection, fruit sizing and yield prediction using RGB-D cameras. PhD Thesis. Universitat de Lleida. Supervisors: E. Gregorio & J.Arnó. http://hdl.handle.net/10803/690455

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• Software: 3D Point Cloud reconstruction of Apple trees using LiDAR, IMU and RTK-GNSS data. 2025. https://github.com/aleixsegura/TFG-Apple3D