Bacco F. M., Berton A., Ferro E., Gennaro C., Gotta A., Matteoli S., Paonessa F., Ruggeri M., Virone G., Zanella A.
Precision agriculture Deep learning UGV Vision Smart farming UAV
Agriculture is taking advantage of the Internet of Things paradigm and of the use of autonomous vehicles. The 21st century farm will be run by interconnected vehicles: an enormous potential can be provided by the integration of different technologies to achieve automated operations requiring minimum supervision. This work surveys the most relevant use cases in this field and the available communication technologies, highlighting how connectivity requirements can be met with already available technologies or upcoming standards. Intelligence is considered as a further enabler of automated operations, and this work provides examples of its uses.
Source: IoT Vertical and Topical Summit for Agriculture, pp. 1–6, Borgo San Luigi in Monteriggioni, Siena, Italy, 8-9 May 2018
Publisher: IEEE, New York, USA
@inproceedings{oai:it.cnr:prodotti:386730, title = {Smart farming: opportunities, challenges and technology enablers}, author = {Bacco F. M. and Berton A. and Ferro E. and Gennaro C. and Gotta A. and Matteoli S. and Paonessa F. and Ruggeri M. and Virone G. and Zanella A.}, publisher = {IEEE, New York, USA}, doi = {10.1109/iot-tuscany.2018.8373043}, booktitle = {IoT Vertical and Topical Summit for Agriculture, pp. 1–6, Borgo San Luigi in Monteriggioni, Siena, Italy, 8-9 May 2018}, year = {2018} }
Bacco, Felice Manlio
0000-0001-6733-1873
Berton, Andrea
Ferro, Erina
0000-0003-3122-726X
Gennaro, Claudio
0000-0002-3715-149X
Gotta, Alberto
0000-0002-8134-7844
Matteoli, Stefania
Paonessa, Fabio
Ruggeri, Massimiliano
Virone, Giuseppe
Zanella, Alberto
Wireless Networks (2002-ongoing)
Networked Multimedia Information System (2002-2020)