Effective iot technologies for an agriculture 4.0 platform

Authors

  • Jhonatan Paolo Tovar Soto Universidad de San Buenaventura
  • Carlos Francisco Pareja Figueredo Fundación de Educación Superior San José
  • Luis Carlos Gutiérrez Martínez Fundación de Educación Superior San José

DOI:

https://doi.org/10.18041/1909-2458/ingeniare.31.8936

Keywords:

Digital agriculture, agricultural applications, descriptive statistics, industry 4.0.

Abstract

This paper presents a selection of effective Internet of Things technologies for an agriculture 4.0 model by developing a numerical statistician. The information has been collected through a review of the tools that are used in agricultural monitoring platforms and subsequently, a selection has been made through standardized parameter estimation functions that provide clustering plots in order to determine those that have the greatest advantage and are most useful for the Internet of Things platform. Then, the results revealed that the low-cost technologies with the lowest power consumption and simplest to implement are: Sigfox, TTGO board and Raspberry Pi, and programming languages such as Java or Python. Finally, a scheme for agriculture 4.0 was defined, which can be useful for small-scale producers in the farm sector.

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References

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Published

2021-09-09

Issue

Section

Artículos

How to Cite

1.
Tovar Soto JP, Pareja Figueredo CF, Gutiérrez Martínez LC. Effective iot technologies for an agriculture 4.0 platform. ingeniare [Internet]. 2021 Sep. 9 [cited 2025 Dec. 19];(31):33-48. Available from: https://revistas.unilibre.edu.co/index.php/ingeniare/article/view/8936

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