Browsing by Author "Emsen, Ebru"
Authors:Emsen, Ebru; Aydın, Man Nuri; Ödevci, Bahadır
Publisher and Date:(ELSEVIER SCI LTD, 2021-03)Lamb survival is influenced by the culmination of a sequence of often interrelated events including genetics, physiology, behaviour and nutrition, with the environment providing an overarching complication. Machine learning algorithms offer great flexibility with regard to problems of complex interactions among variables. The objective of this study was to use machine learning algorithms to identify factors affecting the lamb survival in high altitudes and cold climates. Lambing records were ...
Authors:Ödevci, Bahadır; Emsen, Ebru
Publisher and Date:(Organising Committee of the 9th European Conference on Precision Livestock Farming (ECPLF), Teagasc, Animal and Grassland Research and Innovation Centre, 2019)This paper aims to identify determinant traits of ewes by measuring their impact on lamb survival. For that, we devised a machine learning model that correlates ewe traits to lamb survival, and figured out as to which ewe traits explain the correlation and hence help us to identify the better mother. In this study, we kept pregnant ewes under 24 h observation by two researchers starting approximately three days before expected parturition dates. We conducted the study using native and crossbreed ...
Authors:Emsen, Ebru; Ödevci, Bahadır
Publisher and Date:(Organising Committee of the 9th European Conference on Precision Livestock Farming (ECPLF), Teagasc, Animal and Grassland Research and Innovation Centre, 2019)A Mobile Sheep Manager Software (M-SMS) was developed for commercial lamb production model using cloud architecture that collects and utilises farm data and responds to the farm management with respect to insights on the operational and financial aspects of the farm. Metadata used in the software is composed of ewe reproductive performance, overall productivity, lamb growing rate, survival rate of newborns, and health status of flock. The system detects alerts occurring in the farm and suggests ...