INVESTIGATION & DESIGN


3D technology helps identify sick cows

02/12/2019

CATEGORY: New advances BRAND: Wageningen University & Research


Dairy farmers need to identify sick cows as quickly as possible so that can give them the right treatment in time. The process is automated, non-invasive and suitable for widespread use in commercial dairy farms of the future.


To help farmers do this, PhD student Wageningen University & Research, Xiangyu Song, has developed an automated 3D system for monitoring dairy cows. The system uses 3D cameras to monitor cows for bodily changes and rumen movements. Movements of the reticulum, body size and the Body Condition Score (BCS) are all automatically monitored, and deviations are recorded.

 

These physical characteristics can provide farmers with essential information for monitoring the daily health and nutritional management of the herd. The process is automated, non-invasive and welfare-friendly and therefore suitable for widespread use on the commercial dairy farms of the future.

 

Precision livestock farming

The new 3D system is a form of Precision Livestock Farming (PLF). This more accurate method of farming is booming due to the advent of new sensor technologies. The data generated by these technologies helps farmers to make informed decisions and they can use the systems to make their businesses more economically, socially and environmentally sustainable.

 

 

The system uses 3D cameras to monitor cows for bodily changes and rumen movements.

 

 

However, current PLF applications for managing dairy cow health are often slow in identifying diseases. The system developed in this PhD research enables farmers to monitor the biological processes more closely. This allows them to identify the development of metabolic abnormalities more quickly and to intervene proactively before a problem with the livestock materialises as a disease.

 

www.wur.nl

 

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