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 30):
The system of  claim 21 , wherein the agricultural process is an agronomic model that includes one or more of a crop growth model where crop growth is a function of crop properties and changing environmental conditions, a crop drydown model where changes in crop moisture over time are a function of crop properties and changing environmental conditions, a crop water use model where changes in environmental conditions impact end-of-season total crop water usage, a leaching model where environmental conditions impact drain tile flow data, a nutrient model where an analysis of crop or soil nutrients is a function of growth progression and environmental conditions based on one or more scientific soil samples, a yield prediction model where yield is a function of one or more of growth progression, historical environmental conditions, forecast environmental conditions, climatological environmental conditions, and other meta and environmental data based on end of season or harvest yield data, and a disease impact model where a disease impact is a function of growth progression and environmental conditions based on a count of disease-related instances per plant or area.

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): 0.2885379945156617
- 35 USC 102 Novelty (BERT): 0.48432337382189
- Combined Prediction Score: 0.3081165324462845
- Mean Citation Score: 216.523014
- Max Citation Score: 222.74457
- Similarity Product: 183.6314882083619

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