PATENT CLAIM ANALYSIS

Application Number: 16101302
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["703", "006000"]

Abstract:
A multi-step iterative process for simulating complex agricultural situations where limited sets of data are available for such problems first predicts an outcome for each situation in a particular dataset, using initial assumptions of an applied primary model. The process then uses the errors across these situations to identify where opportunities exist among relevant predictive variables for the model to make changes to a response to such predictor variables to reduce the errors when averaged across all situations. The process then develops a correction model to identify adjustments based on combinations of the predictive variables, and applies the adjustments to the primary model to induce an altered outcome.

Claim (Index 2):
The method of  claim 1 , wherein the weather conditions data includes at least one of in-situ weather data, remotely-sensed weather data, and modeled weather data.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 96.0
- Lexical Diversity: 1.63768
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14853593', '15187963', '14603383', '14463111', '15883017']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2868591248001189
- 35 USC 102 Novelty (BERT): 0.4928610183548878
- Combined Prediction Score: 0.3074593141555958
- Mean Citation Score: 216.523014
- Max Citation Score: 222.74457
- Similarity Product: 167.2127017194772

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

Dataset: test