indexed journals

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).

international conferences

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).


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.