PATENT CLAIM ANALYSIS

Application Number: 16174785
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["700", "284000"]

Abstract:
Systems and methods for assessing a field of plants for irrigation having program code to acquire at least one thermal image of a field having a plurality of plants thereon; generate a thermal map of the field from the thermal image providing a thermal value for a plurality of geographically referenced locations in the field; measure at least one weather parameter for the field; calculate a water stress value for each of the plurality of locations using the weather parameter and the thermal value; and estimate a water property value for each of the plurality of locations using the water stress value and a predetermined correlation of the water stress value and the water property value. Thus, the system leverages high-resolution aerial thermal imagery to estimate plant stress with the advantage of obtaining estimates of the water property value, such as the stem water potential (SWP), potentially for every plant in a field, thereby providing a more powerful tool for irrigation scheduling.

Claim (Index 7):
The system of  claim 6 , wherein the previously collected data comprises a prior thermal map of the field and a prior weather parameter which are used to calculate the prior calculated water stress value.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 97.0
- Lexical Diversity: 2.41667
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15154926', '14268880', '15229968', '15883017', '15105115']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4316523844539009
- 35 USC 102 Novelty (BERT): 0.5385762739594581
- Combined Prediction Score: 0.4423447734044566
- Mean Citation Score: 241.299382
- Max Citation Score: 409.49393
- Similarity Product: 278.5324180023068

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

Dataset: test