A Data-Driven Review of News Media on Blockchain and Internet of Things in Agricultural Contexts

Júlia Santos Humberto (), Jéssica Alves Justo Mendes (), Lucas Gabriel Zanon (), Mateus Cecilio Gerolamo () and Marcelo Seido Nagano ()
Additional contact information
Júlia Santos Humberto: University of São Paulo
Jéssica Alves Justo Mendes: University of São Paulo
Lucas Gabriel Zanon: University of São Paulo
Mateus Cecilio Gerolamo: University of São Paulo
Marcelo Seido Nagano: University of São Paulo

A chapter in Human-Centred Technology Management for a Sustainable Future, 2025, pp 313-321 from Springer

Abstract: Abstract To overcome the challenges faced by modern agriculture, researchers have turned towards technological advancements, such as the Internet of Things (IoT), and blockchain technology (BT). This study aims to evaluate the discourse involving the themes of IoT and BT in agriculture through a comparative analysis between the discourses of academic papers and news articles identified in Web of Science (WoS) and Google News, respectively. A topic modeling approach using latent dirichlet allocation (LDA) was adopted to analyse the data. The results indicate that academic papers and news articles have shared a discourse related to BT in the food supply chain, IoT sensors, and artificial intelligence (AI) technologies being applied in agricultural practices. The differences between the discourses mainly lie in their focus on farmers and the internet, which attracted notice in news articles but did not garner equal attention in academic literature. Based on the findings, recommendations for future research are proposed.

Keywords: Blockchain; Internet of things; Agriculture; Discourse (search for similar items in EconPapers)
Date: 2025
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:prbchp:978-3-031-72494-7_31

Ordering information: This item can be ordered from
http://www.springer.com/9783031724947

DOI: 10.1007/978-3-031-72494-7_31

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().