Lely T4C Report 10 - Health Attentions

Report 10 combines all available sensors on the farm to identity the cows that need the farmer’s attention followed by an action. This was already available with Lely T4C InHerd and now with the T4C 3.6 update it is also available on T4C Desktop.

Management, T4C & InHerd, Cow health

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Healthy cows are one of the most important things that we strive for. Healthy cows are more sustainable and productive and require less attention. Therefore we want to spend our time as efficiently as possible with the cows that really need attention. But how do we find these cows?

Finding cows requiring attention is based on different factors depending on the type of attention. A visual check in combination with various parameters in Lely T4C leads to identifying the cows that need attention. But how efficient would it be to combine all available sensor information on a farm into one single attention? There would no longer be any need to check the different reports and parameters: just a glance at a single attention report. And that is what ‘Health Attentions’ is all about.

How does it work?
A health attention is based on the combination of all available robot sensor data. Whether working with a Lely Astronaut A2, A3 (Next) or A4, all sensors contribute to an algorithm analysis of all available and relevant sensor data. The algorithm calculates a score. If the score is above ten, a health attention is given and the cow appears on the health attention list in InHerd.

In this overview you see the most important parameters contributing to the health attention for a certain cow at a glance: for example, a drop in milk production, a conductivity deviation or a milk temperature anomaly and to what extent these contribute to the score

What is used?
Milk (quality) figures, increased or decreased activity, eating minutes, rumination, rest feed, weight, visit behaviour, fat, protein, etc. The big advantage of this feature is the fact that you do not need to use multiple reports any more to find the cows with issues, but only one report that combines all of these.
 

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Figure 1. Report 10, Health Attentions

What do you gain?
You have only one report showing you the cows requiring attention. Because all relevant robot sensor data is combined into one report, there is no longer any need to check various reports, thus increasing your efficiency. The sensor data is translated into practical information, enabling you to check, act and improve quickly and precisely for those cows that really need attention. Finally, this safeguards keeping your cows healthy.

During the validation the SUS (System Usability Scale) scored 79 points, which is between ‘good’ and ‘excellent’. The SUS provides a reliable tool for measuring usability. It consists of a ten-item questionnaire with five response options for respondents, from ‘strongly agree’ to ‘strongly disagree’. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. In addition, based on farmers’ experiences it is described as a very well-appreciated and complete report, with all attention cows on it. There is no need to check other reports, e.g. udder health. Besides this, the farmers really like the fact that they now use the full potential of their equipment.

Learn more about Health Attentions in Lely T4C InHerd here.

Lely Farm Management Support 
 

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