PATENT CLAIM ANALYSIS

Application Number: 15972330
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["356", "004010"]

Abstract:
The disclosed apparatus, systems and methods relate to determining cross track error between a stored planted location and the actual physical location of plants. An array of active light sensors is mounted on a vehicle for travel above the plants. The array of active light sensors generate an electrical signal from each sensor corresponding to the reflected light from the sensor. A computer system generates a reflectance curve from the array of sensors to determine the location of a plant below the array of sensors and also generates the cross track error.

Claim (Index 15):
A cross-track error detection device for a vehicle with an automatic steering system, comprising:\n a. at least one light sensor; b. at least one mechanical sensor; and c. a computer system comprising a processor and memory, wherein: i. the memory is configured to store a stored plant position, ii. the processor is configured to establish an actual plant position from the at least one light sensor or the at least one mechanical sensor, and iii. the computer system is configured to determine cross-track error by comparing the actual plant position to the stored plant position and operationally integrated with the automatic steering system.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 93.0
- Lexical Diversity: 1.76364
- Patent Class: 356.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14823525', '13700303', '14736612', '10804721', '15209689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.703573532001792
- 35 USC 102 Novelty (BERT): 0.5038382645184812
- Combined Prediction Score: 0.6836000052534609
- Mean Citation Score: 189.07241600000003
- Max Citation Score: 297.65634
- Similarity Product: 253.0928433582473

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