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:
Apr. 26, 2022

Filed:

Dec. 27, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Kamal Das, New Delhi, IN;

Jagabondhu Hazra, Bangalore, IN;

Ranjini Bangalore Guruprasad, Bangalore, IN;

Aanchal Goyal, New Delhi, IN;

Sachin Gupta, New Delhi, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 22/04 (2006.01); G06N 20/00 (2019.01); G01N 33/24 (2006.01); G06N 5/04 (2006.01); A01G 25/00 (2006.01);
U.S. Cl.
CPC ...
G01N 22/04 (2013.01); G01N 33/246 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); A01G 25/00 (2013.01); G01N 2033/245 (2013.01);
Abstract

Methods, systems, and computer program products for dynamic determination of irrigation-related data using machine learning techniques are provided herein. A computer-implemented method includes obtaining irrigation-related data pertaining to a region of interest; determining temporal values corresponding to irrigation activity at the region of interest by performing spatiotemporal analysis of the irrigation-related data; determining amounts of water utilized in connection with the irrigation activity corresponding to the temporal values by applying machine learning techniques to the irrigation-related data; determining types of irrigation activity attributed to the irrigation activity by applying machine learning techniques to the irrigation-related data and determined amounts of water; determining irrigation-related variables pertaining to the region of interest by executing a physical model using, as inputs, the determined temporal values, amounts of water, and types of irrigation activity, wherein the irrigation-related variables include an extent of irrigation activity; and outputting the determined irrigation-related variables to a user.


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