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:
Sep. 06, 2022

Filed:

Dec. 22, 2017
Applicant:

Hexagon Technology Center Gmbh, Heerbrugg, CH;

Inventors:

Bernd Reimann, Heerbrugg, CH;

Alexandre Heili, Altstätten, CH;

Dhiraj Mohan, Cobham, GB;

José Deboni, Santo André, BR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A01G 7/00 (2006.01); G06N 20/00 (2019.01); G06Q 10/06 (2012.01); G06Q 50/02 (2012.01); A01B 79/00 (2006.01); G06N 5/04 (2006.01); A01G 25/16 (2006.01);
U.S. Cl.
CPC ...
A01G 7/00 (2013.01); A01B 79/005 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/06 (2013.01); G06Q 50/02 (2013.01); A01G 25/167 (2013.01); Y02A 40/10 (2018.01);
Abstract

A method and system for predicting soil and/or plant condition in precision agriculture with a classification of measurement data for providing an assignment of a measurement parcel to classes of interest. The assignment is used for providing action recommendations, particularly in real time or close to real time, to a farmer and/or to an agricultural device based on acquired measurement data, particularly remote sensing data, and wherein a classification model is trained by a machine learning algorithm, e.g. relying on deep learning for supervised and/or unsupervised learning, and is potentially continuously refined and adapted thanks to a feedback procedure.


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