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 21):
A method, comprising:\n determining an average daily gain in a plurality of data processing functions that perform a convergence-based ensemble of livestock growth models with input data that is expressed as a plurality of variables impacting livestock growth, the input data at least relative to a livestock weight that includes an initial weight and a target weight, a livestock gender, a livestock type, a location, and a genetic breed, by\n selecting a particular model in the convergence-based ensemble of livestock growth models, by assigning weights to the plurality of variables that are identified as having an impact on the average daily gain over time, calculating a body condition score for livestock as the livestock feeding period progresses, and a performance coefficient representing a maintenance ratio indicative of the body condition score, and \n continuously analyzing a weight gain allowance from energy intake and a growing cattle energy requirement for maintenance; \n predicting a livestock growth rate based on the average daily gain from the selected particular model; confirming the predicted livestock growth rate by returning an actual closeout weight and actual scale data to the convergence-based ensemble of the adaptive livestock growth models; and recommending one or more management actions based on the predicted livestock growth rate.

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): 0.2478818821394967
- 35 USC 102 Novelty (BERT): 0.4786569837815432
- Combined Prediction Score: 0.2709593923037013
- Mean Citation Score: 165.00988600000005
- Max Citation Score: 195.42964
- Similarity Product: 151.2519157716584

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

Dataset: test