Open Accesse-LivestockProv: An Architecture based on Provenance to Manage Traceability in Precision Livestock Farming
Author(s) -
Jonas S. Gomes,
José David,
Regina Braga,
Wagner Arbex,
Bryan Barbosa,
Wneiton Luiz Gomes,
Leonardo M. Gravina Fonseca
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/opensciense.2021.17145
Subject(s) - traceability , agriculture , provenance , computer science , precision agriculture , trace (psycholinguistics) , architecture , livestock , diversity (politics) , volume (thermodynamics) , data science , software engineering , geography , forestry , petrology , linguistics , philosophy , physics , archaeology , quantum mechanics , sociology , geology , anthropology
The use of sensors in the agricultural sector generates a large volume of heterogeneous data that must be processed, stored, and analyzed to support decisions. In addition, decisions taken in agriculture need to be traceable due to the diversity of data and devices present in different agricultural contexts. With provenance, we can trace and analyze data to improve future decisions and avoid the usefulness ones. This article presents the e-LivestockProv architecture, focusing on data provenance.