Low-Power Distributed AI and IoT for Measuring Lamb's Milk Ingestion and Predicting Meat Yield and Malnutrition Diseases

摘要

On most sheep dairy farms, it is a common practice to separate lambs from mothers shortly after birth, being raised by artificial lactation, i.e., automatic lamb feeders. This work will build a low-power Distributed AI device combining IoT and Machine Learning aimed at measuring each lamb's milk ingestion and predicting its future meat yield and possible malnutrition diseases. This device will consist of a Customized Low-Energy Computing (CLEC) that will identify each lamb through Bluetooth beacons, measure the amount of milk ingested by each lamb and offer researchers and farmers a prediction using ML models that will be executed in the device itself through Distributed AI techniques.