The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 25, 2023

Filed:

Sep. 03, 2021
Applicant:

Aquasys Llc, Washington, DC (US);

Inventors:

Adam Koeppel, Washington, DC (US);

Tyler Locke, Alexandria, VA (US);

Kevin Kelly, Alexandria, VA (US);

Assignee:

AQUASYS LLC, Washington, DC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/24 (2006.01); G06N 3/08 (2023.01); G01N 27/22 (2006.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G01N 33/24 (2013.01); G01N 27/223 (2013.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G01N 2033/245 (2013.01);
Abstract

In order to predict plant stresses at a localized level, data feeds from many sensor types can be fused and analyzed to create a synthetic sensor estimating plant water stress, predicting microclimatic conditions, and performing localized plant disease and pest modeling. To make this affordable, an array of low-cost, lower precision sensors can be used. Sensor fusion is used to improve the accuracy of each sensing element by using machine learning to fuse data from the other sensing elements in the array. Additionally, machine learning can create a 'synthetic sensor' replicating the output of high-cost and maintenance intensive sensing devices by using machine learning to replicate their output.


Find Patent Forward Citations

Loading…