Open AccessArchitecture for Decision Support in Precision Livestock Farming
Author(s) -
Jonas S. Gomes,
José David,
Regina Braga,
Victor Ströele,
Wagner Arbex,
Bryan Barbosa,
Wneiton Luiz Gomes,
Leonardo M. Gravina Fonseca
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/bresci.2021.15787
Subject(s) - precision agriculture , decision support system , computer science , agribusiness , process (computing) , sustainability , livestock , domain (mathematical analysis) , agriculture , volume (thermodynamics) , architecture , data science , data mining , ecology , mathematical analysis , physics , mathematics , quantum mechanics , biology , operating system , art , visual arts
The use of sensors in the agricultural domain generates a massive volume of heterogeneous data that must be treated, stored, and processed for decision-making. These decisions must be taken considering the diversity of devices and contextual information, which is often not considered but is important to the decision-making process. This paper presents an architecture to integrate data from sensors related to precision livestock farms. The integration and processing of these data can support decision-making, lead to more accurate results and enhance agribusiness sustainability.