AgIoT: Agricultural internet of things and data analytics to make better decisions in the precision agriculture context

Project: Research

Project Details


The main effort in agriculture is focusing on three main areas: improving food quality, contributing to development such as bioenergy and bioeconomy, and improving the quantity / quality of production. Therefore, the need to increase the efficiency of agriculture through the two fundamental aspects regarding Information and Communication Technologies is indisputable: Wireless Sensor Network (WSN) and Data Analysis. These two technologies, together with the Internet and distributed computing such as the new Fog Computing architectures, are the basis for the Internet of Things (IoT); known in the agronomic field as "Smart Farming". This proposal aims to respond to some of them by: 1. Evaluating how the sensors allow to measure responses in the plantations; 2. Evaluate how it will affect the position of the nodes; 3. Proposal of tools to deal with uncertainty and data quality; 4. Propose tools for data processing and integration; 5. Develop a new Hardware / Software to address the lack of connectivity in rural areas; 6. Propose the use of data analysis, statistics and data science methods to transform the flow of data into knowledge for farmers.
Effective start/end date1/01/211/12/23

Collaborative partners

  • Lima University
  • University of Castilla-La Mancha
  • Universidad Nacional de Cordoba
  • Universidade Estadual de Campinas
  • Universidad Diego Portales (lead)
  • Universidad de Magallanes
  • Universidad de la República


  • CYTED: PEN250,000.00

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 12 - Responsible Consumption and Production


  • smart agriculture
  • Big Data
  • collaboration network
  • Internet of things

Research areas and lines

  • Eco-efficiency and clean technologies
  • Food safety
  • Innovation: technologies and products

Kind of research

  • Applied


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