PATENT CLAIM ANALYSIS

Application Number: 15996432
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["703", "002000"]

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.

Claim (Index 11):
A system, comprising:\n a data initialization component configured to retrieve input data impacting a livestock growth rate over time for a convergence-based ensemble of adaptive livestock growth models, the input data at least including a livestock weight that includes an initial weight and a target weight, a livestock gender, a livestock type, a location, and a genetic breed; a plurality of data processing components configured to analyze the input data in the convergence-based ensemble of livestock growth models to continuously analyze an average daily gain over time, by identifying a plurality of variables in the input data that are expected to impact the average daily gain over time, and assigning weights to the one or more variables in the input data, and calculating a performance coefficient representing a maintenance ratio during a livestock feeding period, the maintenance ratio based on the weighted variables that are indicative of a body condition score for livestock as the livestock feeding period progresses, an artificial intelligence component configured to continuously perform the convergence-based ensemble of adaptive livestock growth models to analyze a weight gain allowance from energy intake and a growing cattle energy requirement for maintenance, select a particular livestock growth model from the convergence-based ensemble of adaptive livestock growth models, and predict the livestock growth rate over time from the average daily gain; a feedback component configured to validate the selection of the particular livestock growth model by returning an actual closeout weight and actual scale data to the convergence-based ensemble of the adaptive livestock growth models to confirm the predicted livestock growth rate; and an output data component configured to generate, as output data, one or more recommendations based on the predicted livestock growth rate over time.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 1.5625
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15828109', '11977673', '14952670', '14152845', '11977625']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2488290747118697
- 35 USC 102 Novelty (BERT): 0.4736522345304436
- Combined Prediction Score: 0.2713113906937272
- Mean Citation Score: 165.00988600000005
- Max Citation Score: 195.42964
- Similarity Product: 158.40177383106467

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test