Beef Cow Behaviour Prediction using Deep Learning
Using granular accelerometer data and advanced Time Series algorithms (LSTM, RNN, Transformers) to classify behaviors.
Using granular accelerometer data and advanced Time Series algorithms (LSTM, RNN, Transformers) to classify behaviors.
Designing a unified pipeline to merge, clean, and prepare heterogeneous data from sensors and loggers for analysis.
Employing State-of-the-Art (SOTA) machine learning algorithms on commercially created datasets to detect lameness.
Leveraging Natural Language Processing to analyze consumer sentiment on whole milk and provide actionable insights for organic dairy systems.
Large-scale data management using cloud architectures to analyze milking data, environmental variables, and genetics.
Research and development of an intelligent conversational agent to assist dairy management and decision-making.