Cloud/edge computing for compliance in the Brazilian livestock supply chain.

Big data Certification Food security Sustainable markets Traceability

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Mar 2021
Historique:
received: 17 09 2020
revised: 22 10 2020
accepted: 25 10 2020
pubmed: 10 11 2020
medline: 10 11 2020
entrez: 9 11 2020
Statut: ppublish

Résumé

Brazil is an important player in the global agribusiness markets, in which grain and beef make up the majority of exports. Barriers to access more valuable sustainable markets emerge from the lack of adequate compliance in supply chains. Here is depicted a mobile application based on cloud/edge computing for the livestock supply chain to circumvent that limitation. The application, called BovChain, is a peer-to-peer (P2P) network connecting landowners and slaughterhouses. The objective of the application is twofold. Firstly, it maximizes sustainable business by reducing transaction costs and by strengthening ties between state-authorized stakeholders. Secondly, it creates metadata useful for digital certification by exploiting CMOS and GPS sensor technologies embedded in low-cost smartphones. Successful declarative transactions in the digital space are recorded as metadata, and the corresponding big data might be valuable for the certification of livestock origin and traceability for sustainability compliance in 'glocal' beef markets.

Identifiants

pubmed: 33162127
pii: S0048-9697(20)36807-8
doi: 10.1016/j.scitotenv.2020.143276
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

143276

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Nothing to declare.

Auteurs

Ivan Bergier (I)

Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pantanal, Corumbá, MS, Brazil. Electronic address: ivan.bergier@embrapa.br.

Matheus Papa (M)

Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pantanal, Corumbá, MS, Brazil; Instituto Federal de Educação Ciência e Tecnologia do Mato Grosso do Sul, Curso de Graduação em Análise e Desenvolvimento de Sistemas, Corumbá, MS, Brazil.

Roosevelt Silva (R)

Instituto Federal de Educação Ciência e Tecnologia do Mato Grosso do Sul, Curso de Graduação em Análise e Desenvolvimento de Sistemas, Corumbá, MS, Brazil.

Patrícia Menezes Santos (PM)

Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pecuária Sudeste, São Carlos, SP, Brazil.

Classifications MeSH