Monday Oct 14, 2024

Using Accelerometers and AI to Improve Animal Welfare on Farms – Prof. Suresh Neethirajan (Pt1)

"Can AI predict health problems in farm animals before they even show symptoms?"

In this fascinating episode, Dr. Olli Tikkanen welcomes Professor Suresh Neethirajan, an expert in digital agriculture and animal welfare, to explore how artificial intelligence and accelerometer data are revolutionizing the way we care for farm animals. Prof. Neethirajan shares how his team uses AI models, combining accelerometer data with other health metrics, to predict issues like lameness in cows weeks before symptoms appear. This early detection could transform farm management by enabling preventative care, improving animal welfare, and enhancing farm productivity.

The episode also dives into the practical challenges of collecting data from various farm animals, including cows, sheep, and chickens, and how accelerometers and AI models can provide insights into their behavior and health. Prof. Neethirajan explains how activity data is used to assess movement patterns, stress indicators, and even predict metabolic disorders in animals. If you’re curious about how technology is being applied to improve animal welfare and farm management, this episode offers a compelling look into the future of agriculture.

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Explore our Wearables, Experience sampling method (ESM), Sleep, Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles.

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Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods.

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Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ".

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For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability.

Using Accelerometers and AI to Improve Animal Welfare on Farms – Prof. Suresh Neethirajan (Pt1)

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