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 18):
The method of  claim 17 ,\n wherein the historic combined value is a historic change between the first and the second performance values, wherein the combined value is an actual change between the third and the fourth performance values, and wherein identifying the crop health anomaly is based on the actual change differing beyond a threshold from the historic change.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 90.0
- Lexical Diversity: 2.95349
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15012738', '15345027', '15012762', '10744418', '11258582']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3478636517958866
- 35 USC 102 Novelty (BERT): 0.5118524284431866
- Combined Prediction Score: 0.3642625294606166
- Mean Citation Score: 193.90385200000003
- Max Citation Score: 294.71213
- Similarity Product: 220.44499702041625

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