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 27):
The system of  claim 22 , wherein irrigation-specific information relative to past irrigation activity for the particular field is also applied to the coupled crop and soil simulation models of one or more physical and empirical characteristics impacting the state of moisture content at multiple depths in the soil-crop system, the irrigation-specific information including data representing an amount of water applied to the particular field, and data representing a water delivery mechanism, the water delivery mechanism including one or more of flood irrigation, drip irrigation, or spray irrigation.

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): 0.4205048976739635
- 35 USC 102 Novelty (BERT): 0.5634642595208061
- Combined Prediction Score: 0.4348008338586477
- Mean Citation Score: 302.488126
- Max Citation Score: 438.8931
- Similarity Product: 397.820643264842

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