Скачать или смотреть Combining AI Models and Accelerometer Data to Predict Animal Pain Prof Suresh Neethirajan Pt2

📰 "We use Fibion SENS to track animal movement and predict health issues like lameness," says Prof. Suresh Neethirajan. 🐄📊 In this episode, he explains how Fibion SENS, combined with AI, helps improve animal health by detecting problems early.

⏰ Timestamps:

00:00 📊 Introduction: Using Fibion SENS to Track Animal Health

02:30 🐄 How accelerometer data Helps Monitor Animal Movement

05:00 🧠 Using AI and Fibion SENS to Predict Lameness in Cows

08:00 📈 The Importance of Data in Improving Animal Health Predictions

11:00 🤖 How AI Models and Fibion SENS Work Together to Track Health

14:00 🩺 Why Accelerometer data is a Simple Solution for Farmers

In this episode of the Physical Activity Researcher Podcast, host Dr. Olli Tikkanen continues the discussion with Prof. Suresh Neethirajan about how Fibion SENS is used to track the movement and health of farm animals. Prof. Neethirajan explains how the accelerometer data provides accurate data on animal activity, which, when combined with AI models, helps predict health issues like lameness early.

Prof. Neethirajan shares how AI analyzes the data collected by accelerometer to help farmers detect early signs of illness and take action before the problem worsens.

By tracking movement patterns and other health indicators, accelerometer data and AI work together to provide valuable insights into animal welfare, helping improve both the health of the animals and the overall productivity of the farm.

This episode is perfect for anyone interested in how big data and artificial intelligence are transforming the way farmers monitor animal health and predict problems early.
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