Mohammad Nadeem Hasan

US Patent:

20230108422, Apr 6, 2023

Filed:

Sep 29, 2022

Appl. No.:

17/956119

Inventors:

- Saint Louis MO, US
Bhaskar DUTTA - Cottleville MO, US
Mohammad Alfi HASAN - Saint Louis MO, US
Kyle PARMLEY - Ankeny IA, US

International Classification:

A01B 79/00
G06T 7/00
G06T 3/40
G06V 20/10
G06V 20/13
G06V 10/62
G06V 10/82
G06N 3/04

Abstract:

Systems and methods are provided for use in processing image data associated with crop-bearing fields. One example computer-implemented method includes accessing a first data set including images associated with a field, where the images have a spatial resolution of about one pixel per at least about one meter, and generating, based on a generative model, defined resolution images of the field from the first data set. In doing so, the defined resolution images each have a spatial resolution of about X centimeters per pixel, where X is less than about 5 centimeters. The method also includes deriving index values for the field, based on the defined resolution images of the field, and predicting a characteristic (e.g., a yield, etc.) for the field based on the index values and, in some implementations, at least one environmental metric for the field.

US Patent:

20230093903, Mar 30, 2023

Filed:

Sep 29, 2022

Appl. No.:

17/956655

Inventors:

- Saint Louis MO, US
Robert BRAUER - Lincoln NE, US
Mohammad Alfi HASAN - Saint Louis MO, US
Kyle PARMLEY - Ankeny IA, US
Venkata Soumya PISUPATI - Chesterfield MO, US

Assignee:

MONSANTO TECHNOLOGY LLC - Saint Louis MO

International Classification:

G06V 20/10
G06V 10/774
G06V 10/72

Abstract:

Systems and methods are provided for use in processing image data of crops associated with one or more plots. One example computer-implemented method includes accessing a data set including images associated with one or more plots. The method then includes, for each plot, comparing a first index value of a first image of the plot at time n to an index value of a second image of the plot at time n+1; in response to the second index value being greater than the first index value, flagging the second image; and modifying the data set by removing at least part of the second image based on the flag. The method further includes accessing phenotypic data for the one or more plots at a time consistent with the images and training a model based on data including the modified data set and the accessed phenotypic data.