PATENT CLAIM ANALYSIS

Application Number: 16021685
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["702", "002000"]

Abstract:
Described herein is a method of controlling soil moisture, water accumulation and fertilizer distribution in land. Elevation location data for land areas are extracted from two or more pixels of a topographic image including topographic data. Each pixel represents a land area. Wetness indices for the land areas are determined from the elevation and location data, based on the slope between two or more defined areas of land and an upslope contributing area per unit contour length. At risk defined areas of land, e.g., those at risk of accumulating water are identified based on wetness indices. Water is transported from the at risk defined areas of land to another location. The transporting of water reduces the risk of accumulating water in the at risk defined areas of land and improves crop growth potential in those areas.

Claim (Index 11):
The system of  claim 9 , wherein wetness index is employed to determine a slope between two or more defined areas of land, and an upslope contributing area per unit contour length of the defined areas of land, the wetness indices of the defined areas of the land being based on determined values for the slope and the upslope contributing area.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.0137
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15067451', '13027435', '11643647', '11085589', '14663291']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1781261135674965
- 35 USC 102 Novelty (BERT): 0.6010891713204478
- Combined Prediction Score: 0.2204224193427916
- Mean Citation Score: 248.292814
- Max Citation Score: 551.2783
- Similarity Product: 437.428458221972

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

Dataset: test