Appel, ChristophJungbluth, ThomasHartung, EberhardBöttinger, StefanTheuvsen, LudwigRank, SusanneMorgenstern, Marlies2019-05-152019-05-152007978-3-88579-195-9https://dl.gi.de/handle/20.500.12116/22861Variability within a group of animals is an important information which can be used for further optimization of pig fattening. Hence, this project will provide a generic methodology to continuously monitor the differences of growth and body conformation within a group of animals using a set of robust and simple, i.e. low-end image analysis (LEIA) algorithms. The methodology will be breed independent. The verification of the methodology is done under practical conditions with fattening pigs. The project will provide non-dimensional parameters to describe a group’s heterogeneity with regards to changes in time. Time-series analyses will be used for the estimation of the future development of variability within the group.enLEIA - Low-end image analysis to continuously monitor growth and body conformation of fattening pigsText/Conference Paper1617-5468