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Project

On-line time-series analysis of data from intensive livestock production

Precision Livestock Farming (PLF) involves the continuously automated measurements directly on the animal or its environment. These systems can be applied to farm level to create value for the farmers and other stakeholders (consumers, veterinarians...). The monitoring and management of PLF data, through data-analysis and data-based modelling, will allow us to translate it into key indicators on animal welfare, animal health, productivity and environmental impact. On-line methods will be develop to work in real-time analysing the data gathered by the sensor technologies and translating it to biologically meaningful features. This information will help the farmer with the management and it will improve health and welfare of the animals.

Date:1 Oct 2013 →  31 Dec 2019
Keywords:Precision Livestock Farming, animal health and welfare, time-series analysis
Disciplines:Applied mathematics in specific fields, Computer architecture and networks, Distributed computing, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Agriculture, land and farm management, Biotechnology for agriculture, forestry, fisheries and allied sciences, Fisheries sciences
Project type:PhD project