Home /Research /Detection of dairy cattle Mastitis: modelling of milking features using deep neural networks
LEARNING

Detection of dairy cattle Mastitis: modelling of milking features using deep neural networks

Moaath Khamaysa Hajaya, Sandhya Samarasinghe, Don Kulasiri, Marqui L. Benavides

Year
2019
Citations
9
Access
Open access

Abstract

Dairy cattle Mastitis is one of the most notable and costly diseases in dairy industry worldwide. The total Mastitis cost to dairy industry in New Zealand is up near $280 million a year; this cost includes drop in milk production, cattle treatment and other costs. This research includes the examination and analysis of data collected from a commercial robotic dairy farm, in order to design and build a computational model that can help efficient and accurate detection of Mastitis in dairy cattle herds.

Keywords

MilkingMastitisArtificial neural networkDairy cattleComputer scienceArtificial intelligencePattern recognition (psychology)Machine learningAnimal scienceBiology

Related papers

Browse all LEARNING papers