PATENT CLAIM ANALYSIS

Application Number: 16038006
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["348", "144000"]

Abstract:
A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland. A class for each pixel is then determined that maximizes the joint probability over the graph.

Claim (Index 20):
A data processing system comprising:\n a memory; one or more processors coupled to the memory; spectral analysis logic stored in the memory, executable by the one or more processors, and configured to cause the one or more processors to: receive image data of a field comprising a plurality of pixels, precipitation data for the plurality of pixels of the image data of the field indicating one or more amounts of rainfall over one or more regions of the field, elevation data indicating one or more elevations over the one or more regions of the field, and soil property data indicating one or more properties of soil found across the one or more regions of the field; flow simulation logic stored in the memory, executable by the one or more processors, and configured to cause the one or more processors to:\n initializing a water level for each region of a plurality of regions of the field; \n iteratively rebalancing water levels between the plurality of regions; \n wherein at each iteration water flows from higher elevation regions to neighboring lower elevation regions based on the elevation data until a stopping condition occurs; \n wherein as water flows from the higher elevation regions to the neighboring lower elevation regions an amount of water is removed by being absorbed by soil based on the soil property data; \n after iteratively rebalancing the water levels between the plurality of regions of the field, identifying, using regions of the plurality of regions which still contain water, a set of pixels within the image data that are likely to have ponding water after the rainfall.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.18824
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14945282', '14960921', '15701347', '15666347', '15725284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5956886188869773
- 35 USC 102 Novelty (BERT): 0.4731622698787693
- Combined Prediction Score: 0.5834359839861566
- Mean Citation Score: 149.818202
- Max Citation Score: 176.87466
- Similarity Product: 132.54456023298025

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