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. 09, 2024

Filed:

Jan. 26, 2022
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Jayantrao Mohite, Thane, IN;

Suryakant Ashok Sawant, Thane, IN;

Ankur Pandit, Thane, IN;

Srinivasu Pappula, Hyderabad, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/48 (2022.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06V 10/74 (2022.01); G06V 10/774 (2022.01); G06V 20/10 (2022.01); G06V 20/13 (2022.01);
U.S. Cl.
CPC ...
G06V 10/48 (2022.01); G06N 20/00 (2019.01); G06V 10/761 (2022.01); G06V 10/774 (2022.01);
Abstract

Machine Learning models to be created for crop mapping for any region, require huge volumes of ground truth data requiring manual effort in generating region specific training dataset. Method and system for providing generalized approach for crop mapping across regions with varying characteristics is disclosed. The method provides automatic generation of a labelled pixel dataset representing cropping pattern of a Region of Interest (ROI) for building a ML crop mapping model for the ROI. The generated labelled pixel dataset captures regional dependency and localized phenological indicators for the ROI. ML crop mapping model is updated using a database, regularly updated for the set of crops and the plurality of features associated with each of the set of crops and corresponding the set of crops.


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