Aflatoxin detection on direction of the 4.0 age at 3.0 costs

Authors

  • Mariana Matulovic São Paulo State University (UNESP), Brazil
  • Flávio José de Oliveira Morais São Paulo State University (UNESP), Brazil
  • Angela Vacaro de Souza São Paulo State University (UNESP), Brazil
  • Cleber Aalexandre de Amorim São Paulo State University (UNESP), Brazil
  • Luiz Fernando Sommaggio Coletta São Paulo State University (UNESP), Brazil

DOI:

https://doi.org/10.31686/ijier.vol7.iss7.1615

Keywords:

Agriculture 4.0, Remote Sensing, Peanut Culture, Aflatoxin

Abstract

Articulate the most diverse and sophisticated technologies, such as Remote Sensing, Big Data, Cloud Computing, Internet of Things, 3D Printing, among others, is part of universe 4.0, whether industrial or agricultural. Focusing on agricultural context, this paper proposes a low-cost 4.0 device to perform the monitoring and control of certain environmental variables for the detection of aflatoxins in peanut crops. Aflatoxins are toxic metabolite of fungi genus Aspergillus that can cause toxic and carcinogenic effects in humans and animals. The device developed was able to monitor temperature and humidity variations helping the aflatoxins identification. The equipment portability allows its use in silos with encapsulation via Additive Manufacturing, besides the aflatoxin prediction from Machine Learning algorithms.

Downloads

Download data is not yet available.

References

[1] F. Marques, “A corrida da Indústria 4.0”, Revista FAPESP, 2017. [Online]. Available at: https://revistapesquisa.fapesp.br/2017/09/22/a-corrida-da-industria-4-0/. [Acessado: 11-jul-2019].

[2] F. Marques, “O Brasil da Internet das Coisas”, Revista FAPESP, 2017. [Online]. Available at: https://revistapesquisa.fapesp.br/2017/09/21/o-brasil-da-internet-das-coisas/. [Acessado: 11-jul-2019].

[3] D. Eaton e J. Groopman, The Toxicology of Aflatoxins. On line, 1993.

[4] N. C. Rollemberg et al., “Ocorrência de Aflatoxinas em Amendoim e Produtos Derivados”, in Anais - VII Conferência Brasileira de Pós-Colheita, 2018, p. 137.

[5] W. O. Ellis, J. P. Smith, B. K. Simpson, J. H. Oldham, e P. M. Scott, “Aflatoxins in food: Occurrence, biosynthesis, effects on organisms, detection, and methods of control”, Crit. Rev. Food Sci. Nutr., vol. 30, no 4, p. 403–439, jan. 1991.

[6] H. Lasi, P. Fettke, H.-G. Kemper, T. Feld, e M. Hoffmann, “Industry 4.0”, Bus. Inf. Syst. Eng., vol. 6, no 4, p. 239–242, ago. 2014.

[7] N. Volpato, Manufatura Aditiva: Tecnologias e Aplicações da Impressão 3D. Blucher, 2017.

[8] J. Manyika et al., “Big data: The next frontier for innovation, competition, and productivity”, MCKinsey Global Institute, 2011. [Online]. Available at: https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation. [Acessado: 11-jul-2019].

[1] F. Marques, “A corrida da Indústria 4.0”, Revista FAPESP, 2017. [Online]. Available at: https://revistapesquisa.fapesp.br/2017/09/22/a-corrida-da-industria-4-0/. [Acessado: 11-jul-2019].

[2] F. Marques, “O Brasil da Internet das Coisas”, Revista FAPESP, 2017. [Online]. Available at: https://revistapesquisa.fapesp.br/2017/09/21/o-brasil-da-internet-das-coisas/. [Acessado: 11-jul-2019].

[3] D. Eaton e J. Groopman, The Toxicology of Aflatoxins. On line, 1993.

[4] N. C. Rollemberg et al., “Ocorrência de Aflatoxinas em Amendoim e Produtos Derivados”, in Anais - VII Conferência Brasileira de Pós-Colheita, 2018, p. 137.

[5] W. O. Ellis, J. P. Smith, B. K. Simpson, J. H. Oldham, e P. M. Scott, “Aflatoxins in food: Occurrence, biosynthesis, effects on organisms, detection, and methods of control”, Crit. Rev. Food Sci. Nutr., vol. 30, no 4, p. 403–439, jan. 1991.

[6] H. Lasi, P. Fettke, H.-G. Kemper, T. Feld, e M. Hoffmann, “Industry 4.0”, Bus. Inf. Syst. Eng., vol. 6, no 4, p. 239–242, ago. 2014.

[7] N. Volpato, Manufatura Aditiva: Tecnologias e Aplicações da Impressão 3D. Blucher, 2017.

[8] J. Manyika et al., “Big data: The next frontier for innovation, competition, and productivity”, MCKinsey Global Institute, 2011. [Online]. Available at: https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation. [Acessado: 11-jul-2019].

[9] L. F. S. Coletta, “Abordagens para combinar classificadores e agrupadores em problemas de classificação”, PhD Thesis, Universidade de São Paulo, 2016.

[10] U. Fayyad, G. Piatetsky-Shapiro, e P. Smyth, “From Data Mining to Knowledge Discovery in Databases”, AI Mag., vol. 17, no 3, 1996.

[11] I. A. T. Hashem, I. Yaqoob, N. B. Anuar, S. Mokhtar, A. Gani, e S. Ullah Khan, “The rise of ‘big data’ on cloud computing: Review and open research issues”, Inf. Syst., vol. 47, p. 98–115, jan. 2015.

[12] B. P. Santos et al., “Internet das coisas: da teoria à prática”, in XXXIV Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, 2016, p. 315.

[13] H. Fonseca, I. Valarini, M. A. C. Domingues, A. S. R. Wettstein, e A. E. G. Silva, “Ocorrência de aflatoxina em amendoim, no estado de São Paulo, durante os anos de 1988 e 1989”, An. da Esc. Super. Agric. Luiz Queiroz, vol. 48, p. 301–316, 1991.

[14] ANVISA, “RESOLUÇÃO DE DIRETORIA COLEGIADA – RDC No 07, DE 18 DE FEVEREIRO DE 2011”, Ministério da Saúde, 2011. [Online]. Available at: http://portal.anvisa.gov.br/documents/10181/2968262/RDC_07_2011_COMP.pdf/. [Acessado: 11-jul-2019].

[15] K. B. IMAMURA, J. C. V. TONI, M. A. L. BOCCHE, D. A. de SOUZA, e J. A. GIANNONI, “Incidência de aflatoxinas no amendoim (Arachis hypogaea L) cru em casca da região da Alta Paulista-SP, durante o período de 2011 a 2012”, Rev. Inst. Adolfo Lutz, 2000.

[16] J. P. Jouany, “Methods for preventing, decontaminating and minimizing the toxicity of mycotoxins in feeds”, Anim. Feed Sci. Technol., vol. 137, no 3–4, p. 342–362, out. 2007.

[17] S. Sokhansanj e W. Yang, “Revision of the ASAE standard D245.4: moisture relationships of grains”, Food Agric. Organ. United Nations, vol. 39, no 2, p. 639–642, 191AD.

[18] U. L. Diener e N. D. Davis, “Aflatoxin production by isolates of Aspergillus flavus”, Phytopathology, vol. 56, no 12, p. 1390, 1966.

Downloads

Published

2019-07-01

How to Cite

Matulovic, M. ., Morais, F. J. de O. ., Souza, A. V. de ., Amorim, C. A. de ., & Coletta, L. F. S. . (2019). Aflatoxin detection on direction of the 4.0 age at 3.0 costs. International Journal for Innovation Education and Research, 7(7), 338-346. https://doi.org/10.31686/ijier.vol7.iss7.1615

Most read articles by the same author(s)