PATENT CLAIM ANALYSIS

Application Number: 15865260
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "110000"]

Abstract:
The ability to make real-time and high accuracy diagnostic determinations is critical for high volume, high value crops, such as cannabis. Advances in learning-based algorithms provide an improved way to perform plant health diagnostics. A significantly large content library of plant health specific to cannabis plants may be used to train a machine learning algorithm to correlate input data with a generated output diagnosis. Maintaining and growing the underlying content library is an important consideration in a deployed solution. Diagnostic results may also include remediation recommendations to allow users to take immediate action on their plant.

Claim (Index 2):
A process for providing cannabis plant health diagnostics wherein:\n a. a user queries the process by submitting environmental data and b. the data is processed with a machine learning algorithm and c. the process returns a diagnostic response.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 86.0
- Lexical Diversity: 1.33766
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14212237', '14849423', '14869243', '12989756', '14869267']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2969379846347532
- 35 USC 102 Novelty (BERT): 0.5007174677854745
- Combined Prediction Score: 0.3173159329498254
- Mean Citation Score: 84.653501
- Max Citation Score: 85.76562
- Similarity Product: 44.16846492436409

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

Dataset: test