PATENT CLAIM ANALYSIS

Application Number: 15879739
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "110000"]

Abstract:
A method and system for generating a map identifying the size and location of anomalous crop health patterns of a geographic area. Predictive crop health forecasting based historical crop health images generates expected crop health images. Statistical parametric mapping is used to model differences in the expected crop health images and current crop health images to generate a statistical parametric map. Regions of anomalous crop health based on the modeled differences are identified in the statistical parametric map. The number of the identified anomalous crop health regions and the size of each of the identified anomalous crop health regions are determined. The statistical significance of the size and number of the anomalous crop health regions relative to the expected crop health is quantified. A map of anomalous crop health patterns delineates the anomalous crop health regions and the statistical significance of the size and number of anomalous crop health regions.

Claim (Index 10):
The computer system of  claim 7 , wherein the statistical parametric mapping module utilizes an uncertainty estimate for quantifying the statistical significance of the size and number of the anomalous crop health regions.

Metadata:
- Claim Count in Document: 36.0
- Percentile: 86.0
- Lexical Diversity: 2.96226
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14853593', '13455971', '14463111', '14842853', '14603381']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3396385471625833
- 35 USC 102 Novelty (BERT): 0.4959691790375596
- Combined Prediction Score: 0.3552716103500809
- Mean Citation Score: 167.95293
- Max Citation Score: 176.12906
- Similarity Product: 108.09889227230308

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

Dataset: test