PATENT CLAIM ANALYSIS

Application Number: 16267362
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["172", "002000"]

Abstract:
A method for weeding crops includes, at an autonomous machine: recording an image at the front of the autonomous machine; detecting a target plant and calculating an opening location for the target plant longitudinally offset and laterally aligned with the location of the first target plant; driving a weeding module to laterally align with the opening location; tracking the opening location relative to a longitudinal reference position of the weeding module; when the weeding module longitudinally aligns with the first opening location, actuating the blades of the first weeding module to an open position; recording an image proximal to the weeding module; and in response to detecting the blades of the weeding module in the open position: calculating an offset between the opening location and a reference position of the weeding module, based on the image; and updating successive opening locations calculated by the autonomous machine based on the offset.

Claim (Index 3):
The method of  claim 1 , wherein recording the second image of the ground area below the tool housing further comprises recording the second image of the ground area below the tool housing via a first rear camera mounted to the first weeding module.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.81034
- Patent Class: 172.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16260042', '15852749', '15693301', '15693336', '15693316']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.664909346467825
- 35 USC 102 Novelty (BERT): 0.4848840533550821
- Combined Prediction Score: 0.6469068171565507
- Mean Citation Score: 110.808884
- Max Citation Score: 120.40467
- Similarity Product: 74.13793576709391

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test