PUBLICATIONS

​Peer-reviewed
indexed journals

Leanza, G. Matranga, M. Biddoccu, E. Cavallo, A. Milella and G. Reina, “Novel Measurements and Features for the Characterization of Soil Surface Roughness,” in IEEE Access, vol. 10, pp. 131735-131746, 2022 (link).

 Galati, R., Mantriota, G. & Reina, G. Adaptive heading correction for an industrial heavy-duty omnidirectional robot. Sci Rep 12, 19608 (2022) (link).

 Galati, R.; Mantriota, G.; Reina, G. RoboNav: An Affordable Yet Highly Accurate Navigation System for Autonomous Agricultural Robots. Robotics 2022, 11, 99 (link).

Fabio Vulpi, Roberto Marani, Antonio Petitti, Giulio Reina, Annalisa Milella, An RGB-D multi-view perspective for autonomous agricultural robots, Computers and Electronics in Agriculture, Volume 202, 2022, 107419, ISSN 0168-1699 (link).

 Casado-García, A., Heras, J., Milella, A., Marani R. Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture. Precision Agric (2022) (link).

Morellos, A.; Pantazi, X.E.; Paraskevas, C.; Moshou, D. Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer Learning. Remote Sens. 2022, 14, 4648 (link).

Dombrowski, O., Brogi, C., Hendricks Franssen, H.-J., Zanotelli, D., and Bogena, H.: CLM-FruitTree: A new sub-model for deciduous fruit trees in the Community Land Model (CLM5), Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2022-41, in review, 2022 (link).

Enrico di Maria, Giulio Reina, Kazuo Ishii, Nicola Ivan Giannoccaro, Rolling resistance and sinkage analysis by comparing FEM and experimental data for a grape transporting vehicle, Journal of Terramechanics, Volume 97, 2021, Pages 59-70, ISSN 0022-4898 (link).

Galati, R., Mantriota, G., and Reina, G. (May 17, 2021). “Design and Development of a Tracked Robot to Increase Bulk Density of Flax Fibers.” ASME. J. Mechanisms Robotics. October 2021; 13(5): 050903 (link).

Ugenti, A., Vulpi, F., Domínguez, R., Cordes, F., Milella, A., & Reina, G. (2021). On the role of feature and signal selection for terrain learning in planetary exploration robots. Journal of Field Robotics, 1– 16 (link).

Dombrowski, Olga; Hendricks Franssen, Harrie-Jan; Brogi, Cosimo; Bogena, Heye R. 2021. “Performance of the ATMOS41 All-in-One Weather Station for Weather Monitoring” Sensors 21, no. 3: 741 (link).

Fabio Vulpi, Annalisa Milella, Roberto Marani, Giulio Reina, Recurrent and convolutional neural networks for deep terrain classification by autonomous robots, J. of Terramechanics, 2021 (link).

R Marani, A Milella, A Petitti, G Reina, Deep neural networks for grape bunch segmentation in natural images from a consumer-grade camera, Precision Agriculture 22 (2), 387-413), 2021 (link).

G. Reina, A. Leanza, A. Milella, A. Messina (2019) “Mind the ground: a Power Spectral Density-based estimator for all-terrain rovers in Measurement,” Measurement Volume 151, February 2020, 107136 (link).

Reina G, Leanza A., Terrain estimation via vehicle vibration measurement and Cubature Kalman filtering, Journal of Vibration and Control, 26 (11-12), 885-898, 2020 (link).

Romeo, L.; Petitti, A.; Marani, R.; Milella, A. Internet of Robotic Things in Smart Domains: Applications and Challenges. Sensors, 2020, 20, 3355 (link).

Peer-reviewed
international conferences

Brogi, C., Bogena, H. R., Köhli, M., Hendricks Franssen, H.-J., Dombrowski, O., Pisinaras, V., Chatzi, A., Babakos, K., Jakobi, J., Ney, P., and Panagopoulos, A.: Challenges and solutions for cosmic-ray neutron sensing in heterogeneous soil moisture situations related to irrigation practices, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6238 (link).

Dombrowski, O., Brogi, C., Hendricks Franssen, H.-J., Zanotelli, D., and Bogena, H.: Introducing CLM-FruitTree to model carbon allocation in fruit orchards with the Community Land Model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7527 (link).

Brogi, H. R. Bogena, V. Pisinaras, A. Panagopoulos, O. Dombrowski, J. Jakobi, A. Chatzi, and P. Ney. Monitoring soil water content and water potential dynamics in irrigated apple orchards using cosmic-ray neutron probes, 1st OZCAR TERENO International Conference (Strasbourg) – Advancing Critical Zone science, Strasbourg, France, 5-7 October 2021 (link).

Dombrowski, H. R. Bogena, H.-J. Hendricks Franssen, D. Zanotelli, C. Brogi. CLM-APPLE: A Perennial Plant Functional Type for the Community Land Model CLM5, 1st OZCAR TERENO International Conference (Strasbourg) – Advancing Critical Zone science, Strasbourg, France, 5-7 October (link).

Galati, R., Mantriota, G., Reina, G. Mobile Robotics for Sustainable Development: Two Case Studies Mechanisms and Machine Science, 2022, 108 MMS, pp. 372–382.

Leanza, A., Mantriota, G., Reina, G., ON THE VERTICAL DYNAMICS MODELLING OF RIGID WHEELS ON SOFT SOIL, Proceedings of the 20th International and 9th Americas Conference of the International Society for Terrain-Vehicle Systems, ISTVS 2021, 2021.

L. Romeo, A. Petitti, R. Marani, A. Milella, “Internet of Robotic Things in Industry 4.0: applications, issues and challenges,” IEEE 7th International Conference on Control, Decision and Information Technologies, CODIT 2020, June 29 – July 2, 2020.

L. Romeo, A. Petitti, R. Colella, G. Valecce, P. Boccadoro, A. Milella, L.A. Grieco, “Automatic Deployment of IoT Networks in Outdoor Scenarios using an Unmanned Ground Vehicle” in IEEE International Conference on Industrial Technology (ICIT), Buenos Aires, Argentina, 26-28/02/2020.

Pisinaras, V., Brogi, C., Bogena, H., Hendricks-Franssen, H.-J., Dombrowski, O., and Panagopoulos, A.: Development of irrigation management services based on integration of innovative soil moisture monitoring and hydrological modelling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4093, 2020 (link).

Extended abstract and poster presented at the 1st Italian Conference on Robotics and Intelligent Machines (I-RIM) held in Rome 18-20 October 2019, titled: Advanced Perception Systems for Intelligent Agricultural Vehicles, authors: Annalisa Milella (STIIMA-CNR), Roberto Marani (STIIMA-CNR), Antonio Petitti (STIIMA-CNR), Grazia Cicirelli (STIIMA-CNR), Tiziana D’Orazio (STIIMA-CNR), Giulio Reina (POLIBA) (link).

Brogi, C., Huisman, J. A., Herbst, M., Klosterhalfen, A., Bogena, H., Weihermüller, L., Montzka, C., and Vereecken, H.: Improved spatial modelling of crop productivity using geophysics-based soil mapping: Two case studies beyond the field scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-703, 2019 (link).

Conference
publications

Arianna Rana, Fabio Vulpi, Rocco Galati, Annalisa Milella, Antonio Petitti, “A Pose Estimation Algorithm for Agricultural Mobile Robots using an RGB-D camera” 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022), MALDIVES, 16-18 November 2022.

Fabio Vulpi, Antonio Leanza, Antonio Petitti, Annalisa Milella, Giulio Reina, “Kalman Supervised Network for Improved Model Predictions” 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022) MALDIVES, 16-18 November 2022.

Rubauskis, E., Lepse, L., Lepsis, J., Strautiņa, S., Skrastiņš, P., Liepniece, I. (2021). Digital skills of farmers and horticulturists. Līdzsvarota lauksaimniecība: zinātniski praktiskās konferences raksti. Jelgava: LLU, 144 – 149 (ISBN 978-9984-48-385-6; ISSN 2500-9451) (link).

Heras, R. Marani and A. Milella, Semi-Supervised Semantic Segmentation for Grape Bunch Identification in Natural Images, European Conference on Precision Agriculture (ECPA), July 19-22, 2021.

Antonio Petitti, Fabio Vulpi, Roberto Marani , and Annalisa Milella, A Self-Calibration Approach for Multi-View RGB-D Sensing, SPIE Optical Metrology 21-25 June 2021.

Angelo Ugenti, Fabio Vulpi, Annalisa Milella and Giulio Reina, Learning and Prediction of Vehicle-Terrain Interaction from 3D Vision, SPIE Optical Metrology 21-25 June 2021.