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公开(公告)号：US20230101777A1
公开(公告)日：2023-03-30
申请号：US17488706
申请日：2021-09-29
发明人： James Brennan WORTH
摘要： Embodiments disclosed include systems, apparatus, and/or methods to receive a target health status of and/or quality of bioproduct produced by a managed livestock and indications of health status and quality of bioproduct. The systems, apparatus, and/or methods generate a set of input vectors based on the target health status or bioproduct quality, and the indications of bioproduct quality, and health status, and provide the set of input vectors to a machine learning model trained to generate an output indicating a feed selection. The feed selection can be included in a feed blend and administered to the managed livestock, such that, upon consumption, it increases a likelihood of collectively improving the health status of the managed livestock and the bioproduct quality of the managed livestock.
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公开(公告)号：US20230098374A1
公开(公告)日：2023-03-30
申请号：US17484963
申请日：2021-09-24
发明人： James Brennan WORTH
摘要： Embodiments disclosed include systems, apparatus, and/or methods to receive an indication of a target quality of a property associated with a bioproduct obtained from a managed livestock, the target quality being associated with an identified end-use, and generate a set of input vectors based on the target quality of the property. The systems, apparatus, and/or methods can be further configured to provide the set of input vectors to a machine learning model to generate an output indicating a feed selection and/or feed schedule selection to be used to feed the managed livestock. The feed selection can be such that, upon consumption, increase a likelihood of meeting the target quality of the property. In some embodiments, the systems, apparatus, and/or methods include implementation of features like temporal abstraction, auto-tuning of hyperparameters of model/agent, hierarchical/cognitive learning, synthetic state/trajectory generation and/or adaptive lookahead to achieve the desired output.
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