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:
Nov. 15, 2022

Filed:

Sep. 09, 2019
Applicant:

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

Inventors:

Juliet Mutahi, Ecully, FR;

David W. Kaguma, Nairobi, KE;

Samuel Maina Karumba, Nairobi, KE;

Nelson Kibichii Bore, Nairobi, KE;

Percival Silva de Lucena, Valinhos, BR;

Andrew Kinai, Nairobi, KE;

Komminist Weldemariam, Ottawa, CA;

Peninah M. Waweru, Nairobi, KE;

Attorneys:
Int. Cl.
CPC ...
A01B 79/00 (2006.01); B60W 40/09 (2012.01); G07C 5/08 (2006.01); G06F 16/951 (2019.01); G06N 20/00 (2019.01); G06F 40/44 (2020.01); G06F 40/205 (2020.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
A01B 79/005 (2013.01); B60W 40/09 (2013.01); G06F 16/951 (2019.01); G06F 40/205 (2020.01); G06F 40/44 (2020.01); G06N 20/00 (2019.01); G07C 5/085 (2013.01); B60W 2050/0051 (2013.01);
Abstract

A memory embodies instructions, and a processor is coupled to the memory and is operative by the instructions to facilitate: accessing a source of information regarding farm cultivation techniques; constructing a cultivation knowledge graph by parsing the source of information regarding farm cultivation techniques, using natural language processing; identifying cultivation quality assessment factors by applying machine learning to the cultivation knowledge graph; estimating quality of a farm cultivation task by comparing a stream of real-time data to the cultivation quality assessment factors, wherein the stream of real-time data is related to performance of the farm cultivation task; identifying from the stream of real-time data, using the cultivation knowledge graph, a controllable variable that affects the quality of the farm cultivation task; and improving the quality of the farm cultivation task by facilitating a change in the controllable variable. The controllable variable may be the identity of a tractor operator.


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