The adoption of precision agriculture has been enabled by the arrival of the new ICT technologies included in the wider context of the Internet of Things. We advocate that formal software engineering models and methodologies can provide support to the design of networks for precision agriculture. We propose here the process algebraic framework as a formal support for understanding the possible data-flows for decision-making, once identified from where data are to be gathered. In particular, we exploit IoT-LySa, a recently introduced process calculus, through which we model a possible agriculture scenario. We consider grape cultivation, with particular attention to a careful usage of water. The static analysis developed for IoT-LySa can be used for predicting the interactions among nodes, how data spread from sensors to the network, and how they are manipulated, so helping in water preservation.

Sustainable precision agriculture from a process algebraic perspective: A smart vineyard

Galletta, Letterio
2018-01-01

Abstract

The adoption of precision agriculture has been enabled by the arrival of the new ICT technologies included in the wider context of the Internet of Things. We advocate that formal software engineering models and methodologies can provide support to the design of networks for precision agriculture. We propose here the process algebraic framework as a formal support for understanding the possible data-flows for decision-making, once identified from where data are to be gathered. In particular, we exploit IoT-LySa, a recently introduced process calculus, through which we model a possible agriculture scenario. We consider grape cultivation, with particular attention to a careful usage of water. The static analysis developed for IoT-LySa can be used for predicting the interactions among nodes, how data spread from sensors to the network, and how they are manipulated, so helping in water preservation.
2018
Formal methods; Internet of Things; Precision agriculture; Process algebras; Agricultural and Biological Sciences (all)
File in questo prodotto:
File Dimensione Formato  
BDFG-Atti-STSN_revised.pdf

non disponibili

Tipologia: Documento in Post-print
Licenza: Nessuna licenza
Dimensione 421.42 kB
Formato Adobe PDF
421.42 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11771/12733
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
social impact