The Development Opportunities of Agri-Food Farms with Digital Transformation

Alessandro Scuderi (), Giuseppe Timpanaro, Luisa Sturiale (), Giovanni Via and Biagio Pecorino
Additional contact information
Alessandro Scuderi: University of Catania
Luisa Sturiale: University of Catania
Giovanni Via: University of Catania
Biagio Pecorino: University of Catania

A chapter in Information and Communication Technologies for Agriculture—Theme IV: Actions, 2021, pp 155-170 from Springer

Abstract: Abstract New technologies have led to a digital transformation that enhances traditional processes of innovation and development on the one hand, and creates new forms of innovation in every segment of society on the other. In the agri-food sector, it plays a central role in addressing the critical factors of globalization and environmental impact. In Italy, the market growth potential of “Agriculture 4.0” solutions is very high, but there is a reduced adoption of the related technological innovations. “Agriculture 4.0” is the term used for “precision farming”, which through Internet of Things and Big Data, is able to provide and manage more information, in a more accurate and timely manner, allowing to automate production activities otherwise unrelated. Italian companies are increasingly aware of the opportunities offered by the 4.0 paradigm, but the existing cultural and technological limitations do not allow the full development of the phenomenon. The chapter aims to provide a picture of the perception that Italian agricultural operators have about the opportunities and limitations related to the adoption of intelligent agribusiness. The information acquired has been analyzed with multicriteria analysis and the results obtained represent a valid contribution to define possible future scenarios deriving from the implementation of digital transformation.

Keywords: ICT; Chain; Agriculture 4.0; Multicriteria analysis (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-84156-0_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030841560

DOI: 10.1007/978-3-030-84156-0_8

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().