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 3):
The method of  claim 2 , wherein the irrigation advisory tool is further configured to generate one or more advisories for the particular field, the one or more advisories including an indicator of soil water loss from evaporation and evapotranspiration, an indicator of forecasted precipitation, an indicator of one or both of cost reduction and waste-of-water reduction in geographical locations affected by drought, an indicator of irrigation requirements for achieving crop temperature and crop moisture thresholds, and an indicator of environmental impact from runoff of one or both of fertilizers and chemicals.

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): 0.4181501316242181
- 35 USC 102 Novelty (BERT): 0.568092075651004
- Combined Prediction Score: 0.4331443260268967
- Mean Citation Score: 302.488126
- Max Citation Score: 438.8931
- Similarity Product: 437.540232118553

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