PATENT CLAIM ANALYSIS

Application Number: 15883017
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["700", "284000"]

Abstract:
An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.

Claim (Index 7):
The method of  claim 1 , wherein the crop-specific information further includes one or more of crop type data, planting data, crop growth data, growth stage-dependent parameters indicative of the one or more crop growth stages, crop relative maturity data, crop planting depth and row spacing data, crop post-maturity dry-down characteristics, and targeted crop moisture or temperature thresholds.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 1.61194
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15229968', '14952670', '14952679', '14952686', '14952698']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4190012933477406
- 35 USC 102 Novelty (BERT): 0.5664197804453251
- Combined Prediction Score: 0.4337431420574991
- Mean Citation Score: 302.488126
- Max Citation Score: 438.8931
- Similarity Product: 423.1759222736836

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

Dataset: test