Fakta
Ort: Online
Online
This presentation delves into the intersection of dairy farming and machine learning, with a focus on Automated Milking Systems (AMS). AMS represents a substantial advancement in dairy technology, harnessing robotics and smart gate technologies to streamline milking processes. However, effectively managing cow traffic and behavior remains a critical challenge.
- We explore how machine learning can support dairy farm management by analyzing cow behavior and predicting problematic cows within AMS. The experiments are grounded in a real dataset collected from the SLU infrastructure for dairy cattle data collection, Gigacow, enhancing the practical relevance of our findings.
- We further discuss hypotheses regarding cow behavior based on lactation stage, breed, and milking events. This discussion highlights the potential of machine learning to optimize milking schedules, reduce waiting times, and enhance overall farm productivity.
09.30-09.35 Welcome - Anna Rydberg, RISE
09.35-10.05 Presentation, Salman Toor, Uppsala University
10.05-10.35 Presentation, Tomas Klingström, SLU
10.35-11.00 Discussion, moderated by Anna Rydberg, RISE /Lars Rönnegård, SLU/Högskolan Dalarna
This webinar will be in English. The presentations (but not the discussion) will be recorded, and presented on SLU Play afterwards. The seminar is open for everyone interested, so feel free to pass the invitation on.
https://slu-se.zoom.us/j/61668976981
Meeting ID: 616 6897 6981
Passcode: 755755
SustAinimal Perspectives – Dialogues paving the way for a sustainable and competitive food production