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Lameness Detection from Top View : State-of-the-art Analysis of Lameness Detection

Ranjit Jacob, Sonu (2021) Lameness Detection from Top View : State-of-the-art Analysis of Lameness Detection.

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Full Text Status:Access to this publication is restricted
Embargo date:24 August 2031
Abstract:Dairy cow lameness affects cow welfare and adversely influences farm economy. Detection of lameness in cows is a cumbersome task for farmers as it requires regular monitoring of each individual member of the herd. The objective of this work is to develop an automated lameness detection method from the top view. This is a challenging task as lameness affects the limbs of the cow which are not visible from the top view. To tackle this, we propose to extract behavioural and distance related features of the cow from the top view by dividing the barn into zones. A complete system from data collection to model design is developed in this work and an accuracy of 80\% +/- 20\% is obtained on a dataset of 69 observations.
Item Type:Essay (Master)
Clients:
Lely Technologies N.V, Maassluis, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Embedded Systems MSc (60331)
Link to this item:http://purl.utwente.nl/essays/88197
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