As of 18 November 2019, the new Lely T4C update has been rolled out in the different countries.
In this update, Report 10 – Health Report’ has been improved. Changes have been made to the ‘sick chance’ calculation for the Health Report. With these changes, acute sick cows should be identified at an earlier stage.
For example, if a cow (acute sick) does not visit the milking robot for a longer period, activities such as rumination and eating minutes will be of more value for calculating the sick chance. The older milk data will be of less value for calculating the sick chance.
The second main changes are in the functionalities for Vector beef customers. They have a better insight into the feed intake of the cows: dry matter intake entered versus the actual dry matter fed. Moreover, beef customers are able to manage their cows better. The feeding history from one location to another remains insightful if, for example, the cow transfers from the rearing stable to the feedlots.
Lameness in dairy cows [2/3]
In our previous article in this series, we talked about the economic impact of lameness. As a follow-up, this article provides more knowledge about the causes behind lameness and foot problems to help reduce the incidence of lameness and its associated costs.
Lameness in dairy cows [1/3]
The Efficient Deep Learning (EDL)1 program brings together Dutch academic and industrial partners to research efficient learning and efficient computing for industrial deep learning applications. Lely is an integrator of the EDL program and works together with researchers at Wageningen University to apply deep learning to automatic lameness detection using video monitoring of cows.