Publications by authors named "Amanda Renee Lee"
Article Synopsis
- The study aims to improve the early diagnosis of postpartum diseases in dairy cows by analyzing high-frequency sensor data and comparing the performance of different machine learning algorithms.
- Researchers evaluated the impact of various time windows and decision thresholds on classifier accuracy while considering individual cow factors and farm activities.
- The results show that the Random Forest algorithm outperformed the others (k-NN and SVM) in identifying behavioral patterns linked to metritis, with distinct daily behavior changes observed in the cows.
