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

被引:15
作者
Bergier, Ivan [1 ]
Papa, Matheus [1 ,2 ]
Silva, Roosevelt [2 ]
Santos, Patricia Menezes [3 ]
机构
[1] Embrapa Pantanal, Empresa Brasileira Pesquisa Agr, Corumba, MS, Brazil
[2] Inst Fed Educ Ciencia & Tecnol Mato Grosso do Sul, Curso Grad Anal & Desenvolvimento Sistemas, Corumba, MS, Brazil
[3] Embrapa Pecuaria Sudeste, Empresa Brasileira Pesquisa Agr, Sao Carlos, SP, Brazil
关键词
Big data; Certification; Food security; Sustainable markets; Traceability; FUTURE;
D O I
10.1016/j.scitotenv.2020.143276
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:7
相关论文
共 31 条
  • [1] Abreu, 2018, MODELO RASTREAMENTO
  • [2] [Anonymous], 2014, Encyclopedia of Agriculture and Food Systems, DOI [DOI 10.1016/B978-0-444-52512-3.00033-4, 10.1016/B978-0-444-52512-3.00033-4]
  • [3] [Anonymous], 2013, IMPACTS CLIMATE CHAN
  • [4] [Anonymous], 2020, GLOBAL EC PROSPECTS, DOI 10.1596/978-1-4648-1553-9
  • [5] An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning
    Balster, Andreas
    Hansen, Ole
    Friedrich, Hanno
    Ludwig, Andre
    [J]. BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2020, 62 (05) : 403 - 416
  • [6] Ensuring transparency and traceability of food local products: A blockchain application to a Smart Tourism Region
    Baralla, Gavina
    Pinna, Andrea
    Tonelli, Roberto
    Marchesi, Michele
    Ibba, Simona
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33 (01)
  • [7] Managing the infodemic
    Buchanan, Mark
    [J]. NATURE PHYSICS, 2020, 16 (09) : 894 - 894
  • [8] Batch-based traceability for pork: A mobile solution with 2D barcode technology
    Chen, Taibo
    Ding, Kaifang
    Hao, Shuaikang
    Li, Gendao
    Qu, Jingye
    [J]. FOOD CONTROL, 2020, 107
  • [9] FAO, 2019, 5 PRACT ACT LOW CARB
  • [10] Land sparing to make space for species dependent on natural habitats and high nature value farmland
    Feniuk, Claire
    Balmford, Andrew
    Green, Rhys E.
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2019, 286 (1909)