PATENT CLAIM ANALYSIS

Application Number: 15925263
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["382", "110000"]

Abstract:
A method for monitoring crop health of a geographic region includes receiving an image comprising a set of image elements, the image corresponding to a time unit, mapping an image element of the set of image elements to a geographic sub-region of the geographic region, determining a geographic region performance value for the image element, determining a geographic region performance value change, and identifying a crop health anomaly based on the geographic region performance change and an expected geographic region performance value change. Determining the geographic region performance value for the image element can include determining a vegetative performance value for the image element, mapping the image element to a crop type, and normalizing the vegetative performance value.

Claim (Index 17):
A method for monitoring crop health of a geographic region, the method comprising:\n generating an expected region performance for the geographic region based on a historic combined value, wherein generating the expected region performance comprises:\n determining a first performance value based on a first image associated with a first time; \n determining a second performance value based on a second image associated with a second time; \n generating the historic combined value based on the first and the second performance values; \n generating an actual region performance for the geographic region based on a combined value, wherein generating the actual region performance comprises:\n determining a third performance value based on a third image associated with a third time; \n determining a fourth performance value based on a fourth image associated with a fourth time; \n generating the combined value based on the third and the fourth performance values; and \n identifying a crop health anomaly based on the actual region performance and the expected region performance.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 90.0
- Lexical Diversity: 2.95349
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15012738', '15345027', '15012762', '10744418', '11258582']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.322073167180139
- 35 USC 102 Novelty (BERT): 0.5047887734147454
- Combined Prediction Score: 0.3403447278035996
- Mean Citation Score: 193.90385200000003
- Max Citation Score: 294.71213
- Similarity Product: 243.87314155534088

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