Patent ID: 11889819
Assignee: SUBSTRATE AI SA
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 9:
10. An apparatus, comprising:
a memory; and
a hardware processor operatively coupled to the memory, the hardware processor configured to:
train a machine learning model to receive inputs associated with health status of a managed livestock, receive a value associated with a bioproduct quality of the managed livestock, and identify, by automatically constructing hierarchical states, temporal abstractions based on the inputs and the value to be used to identify a feed selection configured to increase a likelihood of collectively improving the health status of the managed livestock and the bioproduct quality of the managed livestock;
receive at least one of a target value of the bioproduct quality or a target value of the health status;
receive a current value of the bioproduct quality and a current indication of the health status of the managed livestock;
generate a set of feature vectors based on the current value of the bioproduct quality, the current indication of the health status, and the at least one of the target value of the bioproduct quality or the target value of the health status; and
provide the set of feature vectors to the machine learning model to generate, based on the temporal abstractions identified by the machine learning model, an output including a feed selection configured to, upon consumption by the managed livestock, increase a likelihood of collectively improving the health status of the managed livestock and the bioproduct quality of the managed livestock.