Adaptive livestock growth modeling using machine learning approaches to predict growth and recommend livestock management operations and activities
US10354342B2 · kind B2 · utility
6Cited by
1References
30Claims
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Key dates
| Filing date | Jun 2, 2018 |
| Grant date | Jul 16, 2019 |
| Priority date | — |
| Expiry date | Jun 2, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system is provided in an adaptive framework for modeling livestock growth. The adaptive framework processes input data relative to livestock growth in an ensemble of one or more models and an artificial intelligence layer configured to select the most appropriate or primary model to optimize, predict, and recommend livestock feed operations based upon environmental, physiological, location and time variables within such input data. The adaptive framework also optimizes workflow by pen and by producer, based upon historical performance, gender and breed and the management practices of the producer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.