The present disclosure provides systems and methods for
animal health monitoring. Load data can be obtained from an
animal monitoring device comprising three or more load sensors associated with a platform on which contained
litter is carried, wherein each of the three or more load sensors are separate from one another and receive pressure input from the platform independently of one another, wherein the three or more load sensors individually sample load at 2.5 Hz to 110 Hz. If it is determined based on the load data that the interaction with the contained
litter is due to an animal interacting with the contained
litter, an animal behavioral attribute related to the animal can be identified. The animal behavioral attribute can be classified as an animal classification event using a
machine learning classifier.