Analysis of influences on groundwater recharge

A case study in contextual reusability of big data system

Authors

  • Walter Garrido Universidad Nacional del Comahue, Argentina
  • Agustina Buccella Universidad Nacional del Comahue, Argentina
  • Alejandra Cechich Universidad Nacional del Comahue, Argentina
  • Ayelen Montenegro Instituto Nacional de Tecnología Agropecuaria, Argentina

Keywords:

precision agriculture, big data systems, reusability, context

Abstract

Precision agriculture is a field characterized by the use of technologies to improve various practices associated with crop development. These technologies generate large volumes of data that, when properly managed, can be converted into valuable knowledge for organizations. In this context, this article applies a Big Data Systems (BDS) development methodology, defined in previous work, which allows for the development of application cases in the domain. The objective is to analyze the influence of climatic factors and river flow on the behavior of the groundwater table in the Upper Valley region of Río Negro and Neuquén provinces.

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Published

2025-09-30

Issue

Section

CAI - Congreso Argentino de AgroInformática

How to Cite

Garrido, W., Buccella, A., Cechich, A., & Montenegro, A. (2025). Analysis of influences on groundwater recharge: A case study in contextual reusability of big data system. JAIIO, Jornadas Argentinas De Informática, 11(3), 71-84. https://revistas.unlp.edu.ar/JAIIO/article/view/19669